2023-04-27 01:18:30 +02:00
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{
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"cells": [
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{
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"cell_type": "code",
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2023-05-13 18:37:34 +02:00
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"execution_count": 12,
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2023-04-27 01:18:30 +02:00
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"id": "5a38ed25",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2023-04-12T14:25:46.519408Z",
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"start_time": "2023-04-12T14:25:03.003304Z"
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},
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"scrolled": true
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},
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2023-05-13 18:37:34 +02:00
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The autoreload extension is already loaded. To reload it, use:\n",
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" %reload_ext autoreload\n"
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]
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}
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],
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2023-04-27 01:18:30 +02:00
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"source": [
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"import sys\n",
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"import numpy as np\n",
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2023-05-07 20:07:35 +02:00
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"import h5py\n",
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2023-04-27 01:18:30 +02:00
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"import matplotlib.pyplot as plt\n",
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2023-05-07 20:07:35 +02:00
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"from numba import jit\n",
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"import numpy\n",
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2023-04-27 01:18:30 +02:00
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"\n",
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"sys.path.append(\"../\")\n",
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"import csiborgtools\n",
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"\n",
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2023-05-07 20:07:35 +02:00
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"%matplotlib widget\n",
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2023-04-27 01:18:30 +02:00
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"%load_ext autoreload\n",
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"%autoreload 2"
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]
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},
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{
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"cell_type": "code",
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2023-05-13 18:37:34 +02:00
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"execution_count": 13,
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2023-04-27 01:18:30 +02:00
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"id": "312c96c9",
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"metadata": {},
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"outputs": [],
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"source": [
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2023-05-13 18:37:34 +02:00
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"paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)\n",
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"# nsim0 = 7468\n",
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"# nsimx = 7588\n",
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"# nsnap0 = max(paths.get_snapshots(nsim0))\n",
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"# nsnapx = max(paths.get_snapshots(nsimx))\n",
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"# overlapper = csiborgtools.match.ParticleOverlap()\n",
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"# partreader = csiborgtools.read.ParticleReader(paths)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 58,
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"id": "2c1278dc",
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"metadata": {},
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"outputs": [],
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"source": [
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"quijote_cat = csiborgtools.read.QuijoteHaloCatalogue(0, paths, nsnap=4, minmass=None)\n",
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"csiborg_cat = csiborgtools.read.HaloCatalogue(7444, paths, minmass=None)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "bbbc313d",
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"metadata": {},
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"outputs": [],
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"source": [
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"csiborg_fof = np.genfromtxt(\"/mnt/extraspace/mhutt/csiborg_halo_catalogues/FOF_catalogues/FOF_catalogue_7444.dat\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 60,
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"id": "e49b8331",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"-745.0451"
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]
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},
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"execution_count": 60,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"quijote_cat.position().min()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "abc44b91",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"6.451612903225806"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"1000 / 155"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"id": "b9fd91e8",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([5.892228e+11, 1.500966e+12, 6.171330e+11, ..., 2.071579e+12,\n",
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" 9.985761e+11, 5.737170e+11])"
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]
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},
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"execution_count": 36,
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"metadata": {},
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"output_type": "execute_result"
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}
|
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],
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"source": [
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"csiborg_fof[:, -2]"
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]
|
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},
|
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{
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"cell_type": "code",
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"execution_count": 48,
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"id": "0fc1d096",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "267b23f9d15840328ace06fdad5894dc",
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"version_major": 2,
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"version_minor": 0
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},
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"image/png": "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"text/html": [
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"\n",
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" <div style=\"display: inline-block;\">\n",
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
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" </div>\n",
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" <img src='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABnsElEQVR4nO3de1zUZd7/8ReHYRhAGRBHDmKiqEWZtiZmZWpZaltZbmXtnWvu3ra1WJquW97tdtpcf9120Apzt+O97t6tdZfZabU8V+umaXbyiJISgogO4MA4nOb3xzjjAMNRYIB5Px8PHjjf+R4uoOTtdfhcQU6n04mIiIiIBIxgfzdARERERNqXAqCIiIhIgFEAFBEREQkwCoAiIiIiAUYBUERERCTAKACKiIiIBBgFQBEREZEAowAoIiIiEmAUAEVEREQCjAKgiIiISIBRABQREREJMAqAIiIiIgFGAVBEREQkwCgAioiIiAQYBUARERGRAKMAKCIiIhJgFABFREREAowCoIiIiEiAUQAUERERCTAKgCIiIiIBRgFQREREJMAoAIqIiIgEGAVAERERkQCjACgiIiISYBQARURERAKMAqCIiIhIgFEAFBEREQkwCoAiIiIiAUYBUERERCTAKACKiIiIBBgFQBEREZEAowAoIiIiEmAUAEVEREQCjAKgiIiISIBRABQREREJMAqAIiIiIgFGAVBEREQkwCgAioiIiAQYBUARERGRAKMAKCIiIhJgFABFREREAowCoIiIiEiAUQAUERERCTAKgCIiIiIBRgFQREREJMAoAIqIiIgEGAVAERERkQCjACgiIiISYBQARURERAKMAqCIiIhIgFEAFBEREQkwCoAiIiIiAUYBUERERCTAKACKiIiIBBgFQBEREZEAowAoIiIiEmBC/d2Azqy6upojR47QrVs3goKC/N0cERERaQKn08nJkydJTEwkODgw+8IUAM/CkSNHSE5O9nczREREpAVycnLo3bu3v5vhFwqAZ6Fbt26A6z+g7t27+7k1IiIi0hQlJSUkJyd7fo8HIgXAs+Ae9u3evbsCoIiISCcTyNO3AnPg+yxlZmaSlpbG8OHD/d0UERERkWYLcjqdTn83orMqKSkhOjqa4uJi9QCKiIh0Evr9rR5AERERkYCjOYAiItLmnE4nlZWVVFVV+bspEgBCQkIIDQ0N6Dl+jVEAFBGRNlVeXk5eXh5lZWX+booEkIiICBISEggLC/N3UzokBcAWyMzMJDMzU/+SFRFpRHV1NdnZ2YSEhJCYmEhYWJh6ZaRNOZ1OysvLOXbsGNnZ2QwYMCBgiz03RItAzoImkYqINOzUqVNkZ2dzzjnnEBER4e/mSAApKyvj0KFDpKSkEB4eXuM9/f7WIhAREWkH6oGR9qb/5hqm746IiIhIgNEcQBER8YvcIjvW0vJ2e15MZBhJZlO7Pc9t48aNjB07FqvVitlsbvfni/iiACgiIu0ut8jOuKc3Ya9ov8V0JkMIa+eOblYIzM/PZ8GCBXz44Yfk5uZisVgYOnQos2fP5qqrrgLg66+/5g9/+AP//ve/KSkpIT4+nhEjRvD8889jsVi49NJLycvLIzo6GjgTCN3Cw8Pp168fs2bN4q677qrx/H/961888cQTbNmyBbvdzoABA5g+fTqzZs0iJCTEc573wppu3boxaNAgfv/73zNp0qQa9ysvL2fJkiW88cYb7N27l9DQUPr27cv111/Pb37zGxITE31+H2q32e2hhx7iiSeeaPT7eLbXS+tTAGwBrQIWETk71tJy7BVVLJ4ylFRLVJs/L6vAxuwVO7GWljc5AP7www9cdtllmM1mFi1axODBg6moqGDNmjVkZGSwZ88ejh07xlVXXcV1113HmjVrMJvN/PDDD7z33nuUlpYCEBYWRnx8fJ377927l+7du2O323n//fe555576N+/vydYrly5kltvvZXp06ezYcMGzGYza9eu5Xe/+x1btmzhzTffrBH8XnvtNSZMmEBJSQlLly7l5ptvZseOHQwePBgAh8PBNddcwzfffMNjjz3GZZddRs+ePcnOzuaNN97g+eefZ+HChQ1+T9xtdouKat7P7myvl1bklBYrLi52As7i4uJ2ed6P1jLntz8WOX+0lrXL80REzpbdbnfu2rXLabfbaxz/9sci5zkPfOD89seidmlHS543ceJEZ1JSktNms9V5z2q1Op1Op3PlypXO0NBQZ0VFRb332bBhgxPwXFP7tVv//v2d//3f/+10Op1Om83m7NGjh3Py5Ml17vfee+85Aec//vEPzzHAuXLlSs/rkpISJ+BcsmSJ59jChQudwcHBzh07dvhsZ3V1dZO/htpOnDjhnDp1qtNsNjtNJpNzwoQJzn379jX5+rZQ3397Tmf7//7uiLQIpJNwD5dc9/xnjHt6E7lFdn83SUSkyzpx4gSrV68mIyODyMjIOu+75/LFx8dTWVnJypUrcbawqprT6WT16tUcPnyYESNGAPDxxx9z/Phxfvvb39Y5//rrr2fgwIG88cYbPu9XWVnJK6+8AlCjCPIbb7zB1VdfzUUXXeTzurOpz3jnnXfy5Zdf8t5777FlyxacTifXXnstFRUVLb6ntC0FwA4st8jOd7nFnonS9ooq7r0yFXtFVbtOnBYRCTRZWVk4nU7OPffcBs+75JJL+K//+i9+/vOfExcXx8SJE1m0aBFHjx5t9Bm9e/cmKiqKsLAwfvrTn/LII49wxRVXALBv3z4AzjvvPJ/XnnvuuZ5z3G6//XaioqIwGo3cf//99O3bl1tvvdXz/r59+xg0aFCNa2666SaioqKIiori0ksvbXKb3R/Hjx9n//79vPfee7z88suMGjWKIUOG8Pe//53c3FzefffdRq8X/9AcwA7Ke4K0yRDC4tuGAvhlBZuISKBpTm/eggULmDNnDuvXr+eLL75g2bJl/OlPf2Lz5s2e+Xe+fPrpp3Tr1g2Hw8HWrVuZOXMmsbGx3HPPPS1qx7PPPsu4ceM4ePAg999/P8899xyxsbENXrN06VJKS0t57rnn2Lx5c6PPcLfZLSYmhs8//5zQ0FBP7yVAjx49GDRoELt37270evEP9QB2UOrxExHxnwEDBhAUFMSePXuadH6PHj245ZZbeOqpp9i9ezeJiYk89dRTDV6TkpJCamoq559/PtOnT2fq1KksWLAAgIEDBwLUCVBuu3fv9pzjFh8fT2pqKtdccw2vvfYaU6ZMoaCgoMbXtHfv3hrXJCQkkJqa2mhQrN1m90dziy2f7fXSevSd7+DcPX6a8yci0n5iY2MZP348mZmZntW83oqKiuq9NiwsjP79+/u8riEhISHY7a6/66+55hpiY2N5+umn65z33nvvsX//fm6//fZ675Wens6wYcM8gRJcQ8SffPIJX331VbPa1ZjzzjuPyspKvvjiC8+x48ePs3fvXtLS0lr1WdJ6FABbIDMzk7S0NIYPH97mz4qJDMNkCOH59VmYDCHERJ6Z0Os9R9CjKAeO7HR9FhGRFnOX+0pPT+ftt99m//797N69m+eee46RI0cC8MEHH3DHHXfwwQcfsG/fPvbu3ctTTz3FRx99VKcGX20FBQXk5+dz6NAh3nrrLZYvX+65JjIykj//+c+sWrWKu+66i2+++YYffviBV155hTvvvJObb765xvw+X2bPns2f//xncnNzAbj//vsZOXIkV111FUuWLGHHjh1kZ2ezZs0a/vnPf9aoK9gcAwYMYNKkScyYMYPPPvuMr7/+mjvuuIOkpKRGvwfiP5oD2AIZGRlkZGR4NpNuS0lmE2vnjsZaWk5MZJhnKDi3yM59y97HVFmEPdTM8rk/I4lCyEyHijIwREDGVjAnt2n7RETORlaBrcM+p1+/fuzYsYMFCxYwd+5c8vLy6NmzJ8OGDePFF18EIC0tjYiICObOnUtOTg5Go5EBAwbw8ssvM3Xq1Abv716QERoaSnJyMr/+9a959NFHPe/ffPPNbNiwgQULFjBq1ChOnTrFgAEDeOihh5g9e3ajq3YnTJhASkoKCxY
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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.hist(np.log10(csiborg_fof[:, -2] / 0.705), bins=\"auto\", log=True, histtype=\"step\", label='CSiBORG FoF')\n",
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"plt.hist(np.log10(csiborg_cat[\"totpartmass\"]), bins=\"auto\", log=True, histtype=\"step\", label=\"CSiBORG PHEW\")\n",
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"plt.hist(np.log10(quijote_cat[\"group_mass\"]), bins=\"auto\", histtype=\"step\", label=\"Quijote FoF\")\n",
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"plt.legend()\n",
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"\n",
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"\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d242ddb0",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a9200c76",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"id": "06cc35b1",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([100.44731, 143.59903, 158.12021, ..., 213.53363, 218.15207,\n",
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" 218.61882], dtype=float32)"
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]
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},
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"execution_count": 51,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 53,
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"id": "cd33d03e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"version_minor": 0
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},
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
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" </div>\n",
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.hist(dist / 0.705, bins=\"auto\", histtype=\"step\")\n",
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"plt.hist(dist2, bins=\"auto\", histtype=\"step\")\n",
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"\n",
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"plt.hist(np.linalg.norm(quijote_cat.position(), axis=1), bins=\"auto\", histtype=\"step\")\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "26b83bbd",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "d3db5559",
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"metadata": {},
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"outputs": [],
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"source": [
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"X = np.array([0, 0, 0]).reshape(1, -1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "6ee0c806",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(array([array([ 7.7495615 , 17.05076811, 17.28896309, 17.42792485, 18.78253772,\n",
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" 18.89366715, 19.24021407, 19.48198974, 19.53599652, 19.56240634,\n",
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" 20.29059147, 20.2994311 , 20.91068463, 21.62697268, 21.66333893,\n",
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" 21.71842546, 22.08684564, 22.15070161, 22.33512711, 22.45556959,\n",
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" 22.51629665, 22.84347987, 23.18185706, 23.27694884, 23.34952075,\n",
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" 23.78108307]) ],\n",
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" dtype=object),\n",
|
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|
" array([array([17476, 26174, 29688, 37662, 25678, 18437, 23316, 17469, 22100,\n",
|
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|
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" 34216, 30997, 11423, 39383, 24670, 39379, 24937, 21691, 24875,\n",
|
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" 19232, 10364, 29973, 2450, 6841, 24175, 36162, 1514]) ],\n",
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" dtype=object))"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
|
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|
|
],
|
|
|
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"source": [
|
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|
|
|
"quijote_cat.radius_neigbours(X, 25, False)"
|
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|
]
|
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},
|
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b145138e",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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|
"cell_type": "code",
|
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"execution_count": null,
|
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
|
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|
"cell_type": "code",
|
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|
|
|
"execution_count": 30,
|
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|
"id": "8c617b07",
|
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"metadata": {},
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"outputs": [
|
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{
|
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"data": {
|
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"text/plain": [
|
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|
|
|
"677.7000150513364"
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|
|
|
]
|
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|
|
|
},
|
|
|
|
|
"execution_count": 30,
|
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|
"metadata": {},
|
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"output_type": "execute_result"
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|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"csiborg_cat.box.box2mpc(1) * 0.705"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
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{
|
|
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|
"cell_type": "code",
|
|
|
|
|
"execution_count": 31,
|
|
|
|
|
"id": "e1055167",
|
|
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|
|
"metadata": {},
|
|
|
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|
"outputs": [
|
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|
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{
|
|
|
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"data": {
|
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|
"text/plain": [
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"36830"
|
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|
]
|
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},
|
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|
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|
"execution_count": 31,
|
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|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"np.sum(np.log10(csiborg_cat[\"M\"]) > 12.38)"
|
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|
|
|
]
|
|
|
|
|
},
|
|
|
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|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 34,
|
|
|
|
|
"id": "fc55a9e1",
|
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"metadata": {},
|
|
|
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|
"outputs": [
|
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|
|
{
|
|
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|
"data": {
|
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|
"text/plain": [
|
|
|
|
|
"('index',\n",
|
|
|
|
|
" 'x',\n",
|
|
|
|
|
" 'y',\n",
|
|
|
|
|
" 'z',\n",
|
|
|
|
|
" 'M',\n",
|
|
|
|
|
" 'subfrac',\n",
|
|
|
|
|
" 'npart',\n",
|
|
|
|
|
" 'totpartmass',\n",
|
|
|
|
|
" 'vx',\n",
|
|
|
|
|
" 'vy',\n",
|
|
|
|
|
" 'vz',\n",
|
|
|
|
|
" 'conc',\n",
|
|
|
|
|
" 'rho0',\n",
|
|
|
|
|
" 'r200c',\n",
|
|
|
|
|
" 'r500c',\n",
|
|
|
|
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" 'm200c',\n",
|
|
|
|
|
" 'm500c',\n",
|
|
|
|
|
" 'lambda200c',\n",
|
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|
|
" 'r200m',\n",
|
|
|
|
|
" 'm200m',\n",
|
|
|
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|
" 'x0',\n",
|
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|
|
|
" 'y0',\n",
|
|
|
|
|
" 'z0',\n",
|
|
|
|
|
" 'lagpatch')"
|
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|
]
|
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|
},
|
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|
|
|
"execution_count": 34,
|
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|
"metadata": {},
|
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|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"csiborg_cat.keys"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
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|
{
|
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|
"cell_type": "code",
|
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|
|
|
"execution_count": 46,
|
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|
|
"id": "e7fc2274",
|
|
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|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
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|
"data": {
|
|
|
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
|
|
|
"model_id": "1bef9469e4f248698b8a2970f9881e56",
|
|
|
|
|
"version_major": 2,
|
|
|
|
|
"version_minor": 0
|
|
|
|
|
},
|
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"\n",
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
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" </div>\n",
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.hist(np.log10(quijote_cat[\"group_mass\"] / 1.1), bins=\"auto\", histtype=\"step\")\n",
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"plt.hist(np.log10(csiborg_cat[\"totpartmass\"] /0.8), bins=\"auto\", histtype=\"step\")\n",
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"\n",
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"plt.yscale(\"log\")\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3073360b",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "161d8cef",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"152084"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"len(csiborg_cat)"
|
2023-04-27 01:18:30 +02:00
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]
|
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},
|
2023-05-13 18:37:34 +02:00
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c1183824",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cb83a673",
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"metadata": {},
|
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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|
"execution_count": null,
|
|
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|
"id": "419d589b",
|
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"metadata": {},
|
|
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|
"outputs": [],
|
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|
"source": []
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|
},
|
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{
|
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|
"cell_type": "code",
|
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|
"execution_count": 11,
|
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"metadata": {},
|
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|
"outputs": [],
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|
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|
"source": [
|
|
|
|
|
"snapdir = \"/mnt/extraspace/mhutt/Quijote/0\"\n",
|
|
|
|
|
"snapnum = 4"
|
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|
|
|
]
|
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|
},
|
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|
{
|
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"cell_type": "code",
|
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|
"execution_count": 12,
|
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|
"metadata": {},
|
|
|
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|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"FoF = readfof.FoF_catalog(snapdir, snapnum, long_ids=False,\n",
|
|
|
|
|
" swap=False, SFR=False, read_IDs=False)"
|
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]
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},
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{
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"cell_type": "code",
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|
"execution_count": 24,
|
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"id": "d4aefd88",
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"metadata": {},
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"outputs": [],
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"source": [
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"nsim0 = 7444\n",
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"cat0 = csiborgtools.read.HaloCatalogue(nsim0, paths, load_initial=True, minmass=None, with_lagpatch=True, load_clumps_cat=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"id": "48d32eae",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ -26.875292 , -213.67123 , -44.62333 ],\n",
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" [ -18.052368 , -200.90123 , -51.869022 ],\n",
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" [ -2.8416512, -197.68973 , -3.954551 ],\n",
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" ...,\n",
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" [ -17.923822 , -124.58265 , 14.00597 ],\n",
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" [ -58.270424 , -180.12384 , 13.196371 ],\n",
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" [ -21.268452 , -122.9395 , 0.6759848]], dtype=float32)"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"cat0.position()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b6ccf4a5",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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2023-04-27 01:18:30 +02:00
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{
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"cell_type": "code",
|
2023-05-12 14:07:58 +02:00
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"execution_count": 22,
|
2023-05-07 20:07:35 +02:00
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"id": "174206f5",
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"metadata": {},
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"outputs": [],
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"source": [
|
2023-05-09 17:18:01 +02:00
|
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|
"clumpmap0 = csiborgtools.read.read_h5(paths.particles_path(nsim0))[\"clumpmap\"]\n",
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|
|
"parts0 = csiborgtools.read.read_h5(paths.initmatch_path(nsim0, \"particles\"))[\"particles\"]\n",
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|
|
"clid2map0 = {clid: i for i, clid in enumerate(clumpmap0[:, 0])}\n",
|
2023-05-07 20:07:35 +02:00
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"\n",
|
2023-05-08 15:02:20 +02:00
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|
|
"# # clumpmapx = csiborgtools.read.read_h5(paths.particles_path(nsimx))[\"clumpmap\"]\n",
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|
|
"# # partsx = csiborgtools.read.read_h5(paths.initmatch_path(nsimx, \"particles\"))[\"particles\"]\n",
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|
|
|
"# # clid2mapx = {clid: i for i, clid in enumerate(clumpmapx[:, 0])}\n",
|
2023-05-07 20:07:35 +02:00
|
|
|
"\n",
|
2023-05-09 17:18:01 +02:00
|
|
|
"cat0 = csiborgtools.read.HaloCatalogue(nsim0, paths, load_initial=True, minmass=None, with_lagpatch=True, load_clumps_cat=True)\n",
|
|
|
|
|
"catx = csiborgtools.read.HaloCatalogue(nsimx, paths, load_initial=True, minmass=None, with_lagpatch=True, load_clumps_cat=True)"
|
2023-05-07 20:07:35 +02:00
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]
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},
|
2023-05-09 17:18:01 +02:00
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{
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"cell_type": "code",
|
2023-05-12 14:07:58 +02:00
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"execution_count": 4,
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"id": "0666813a",
|
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"metadata": {},
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|
|
|
|
"outputs": [],
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|
|
|
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"source": [
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|
"f = np.load(paths.field_path(\"potential\", \"PCS\", 256, 7444, False))"
|
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|
]
|
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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|
"id": "d78a5090",
|
2023-05-09 17:18:01 +02:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
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|
{
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"data": {
|
2023-05-12 14:07:58 +02:00
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"model_id": "145d1be18da64a6db01c34172ce850cd",
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"version_major": 2,
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"version_minor": 0
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},
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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2023-05-09 17:18:01 +02:00
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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2023-05-12 14:07:58 +02:00
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"plt.figure()\n",
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"plt.imshow(np.sum(f, axis=0))\n",
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"plt.colorbar()\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "04a56637",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7f8a6901",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "4dbbb064",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(3, 512, 512, 512)"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"f.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "341c81d61b504b10a8238aba17694b25",
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"version_major": 2,
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"version_minor": 0
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},
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"image/png": "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"\n",
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" <div style=\"display: inline-block;\">\n",
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
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" </div>\n",
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" <img src='data:image/png;base64,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
|
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" </div>\n",
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" "
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|
],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
|
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"metadata": {},
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"output_type": "display_data"
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}
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],
|
2023-05-09 17:18:01 +02:00
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"source": [
|
2023-05-12 14:07:58 +02:00
|
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|
"plt.figure()\n",
|
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|
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"plt.imshow(np.log10(np.abs(np.mean(f[0, ...], axis=-1))))\n",
|
|
|
|
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"plt.colorbar()\n",
|
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|
|
|
"plt.savefig(\"../plots/eye.png\", dpi=450)\n",
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"plt.show()"
|
2023-05-09 17:18:01 +02:00
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]
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},
|
2023-05-12 14:07:58 +02:00
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{
|
|
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|
"cell_type": "code",
|
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
|
2023-05-09 17:18:01 +02:00
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{
|
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|
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|
"cell_type": "code",
|
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|
|
|
"execution_count": 76,
|
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|
"id": "f453a77e",
|
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"metadata": {},
|
|
|
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|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"x = pair.dist(in_initial=True, norm_kind=\"sum_patch\")\n",
|
|
|
|
|
"y = pair.overlap(False)\n",
|
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|
|
"\n",
|
|
|
|
|
"x = np.concatenate(x)\n",
|
|
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"y = np.concatenate(y)"
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]
|
|
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},
|
|
|
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{
|
|
|
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|
"cell_type": "code",
|
|
|
|
|
"execution_count": 80,
|
|
|
|
|
"id": "c761a313",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"from scipy.special import comb\n",
|
|
|
|
|
"from itertools import combinations"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 81,
|
|
|
|
|
"id": "baba038a",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"ics = paths.get_ics()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 88,
|
|
|
|
|
"id": "b7885003",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"import random\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"combs = list(combinations(ics, 2))\n",
|
|
|
|
|
"random.shuffle(combs)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 91,
|
|
|
|
|
"id": "12d2c301",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"random.Random(32).shuffle(combs)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 92,
|
|
|
|
|
"id": "d2021330",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
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|
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"text/plain": [
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
" (8092, 8356),\n",
|
|
|
|
|
" (7828, 9844),\n",
|
|
|
|
|
" (8644, 9748),\n",
|
|
|
|
|
" (7876, 9220),\n",
|
|
|
|
|
" (8380, 9724),\n",
|
|
|
|
|
" (7636, 7804),\n",
|
|
|
|
|
" (7852, 8236),\n",
|
|
|
|
|
" (8428, 9676),\n",
|
|
|
|
|
" (7564, 8932),\n",
|
|
|
|
|
" (8860, 9772),\n",
|
|
|
|
|
" (7900, 9796),\n",
|
|
|
|
|
" (9148, 9796),\n",
|
|
|
|
|
" (9076, 9484),\n",
|
|
|
|
|
" (8308, 8884),\n",
|
|
|
|
|
" (8380, 8932),\n",
|
|
|
|
|
" (7900, 8284),\n",
|
|
|
|
|
" (8644, 9028),\n",
|
|
|
|
|
" (8332, 8908),\n",
|
|
|
|
|
" (7708, 8164),\n",
|
|
|
|
|
" (7684, 8812),\n",
|
|
|
|
|
" (7444, 9436),\n",
|
|
|
|
|
" (7780, 8620),\n",
|
|
|
|
|
" (7900, 8428),\n",
|
|
|
|
|
" (8764, 8980),\n",
|
|
|
|
|
" (9196, 9700),\n",
|
|
|
|
|
" (9316, 9484),\n",
|
|
|
|
|
" (7588, 9604),\n",
|
|
|
|
|
" (7996, 9628),\n",
|
|
|
|
|
" (8092, 8308),\n",
|
|
|
|
|
" (7468, 8164),\n",
|
|
|
|
|
" (8644, 9556),\n",
|
|
|
|
|
" (8620, 8980),\n",
|
|
|
|
|
" (8068, 8332),\n",
|
|
|
|
|
" (9052, 9652),\n",
|
|
|
|
|
" (7708, 8380),\n",
|
|
|
|
|
" (8908, 9124),\n",
|
|
|
|
|
" (7948, 8644),\n",
|
|
|
|
|
" (7900, 9748),\n",
|
|
|
|
|
" (8332, 9652),\n",
|
|
|
|
|
" (9052, 9244),\n",
|
|
|
|
|
" (9172, 9484),\n",
|
|
|
|
|
" (7612, 9100),\n",
|
|
|
|
|
" (7660, 8932),\n",
|
|
|
|
|
" (8188, 8740),\n",
|
|
|
|
|
" (8836, 9052),\n",
|
|
|
|
|
" (7948, 9484),\n",
|
|
|
|
|
" (7468, 8332),\n",
|
|
|
|
|
" (7612, 8548),\n",
|
|
|
|
|
" (8380, 9316),\n",
|
|
|
|
|
" (7924, 8548),\n",
|
|
|
|
|
" (7972, 9460),\n",
|
|
|
|
|
" (7564, 9292),\n",
|
|
|
|
|
" (8164, 8620),\n",
|
|
|
|
|
" (8812, 9460),\n",
|
|
|
|
|
" (8836, 9292),\n",
|
|
|
|
|
" (8140, 8908),\n",
|
|
|
|
|
" (8644, 9124),\n",
|
|
|
|
|
" (7828, 9412),\n",
|
|
|
|
|
" (7444, 7948),\n",
|
|
|
|
|
" (7516, 9508),\n",
|
|
|
|
|
" (7588, 8932),\n",
|
|
|
|
|
" (8164, 8356),\n",
|
|
|
|
|
" (8788, 9508),\n",
|
|
|
|
|
" (8116, 8644),\n",
|
|
|
|
|
" (8332, 9844),\n",
|
|
|
|
|
" (7588, 7876),\n",
|
|
|
|
|
" (9556, 9748),\n",
|
|
|
|
|
" (7612, 9244),\n",
|
|
|
|
|
" (7564, 7948),\n",
|
|
|
|
|
" (7492, 9388),\n",
|
|
|
|
|
" (9172, 9556),\n",
|
|
|
|
|
" (7516, 9580),\n",
|
|
|
|
|
" (8092, 8500),\n",
|
|
|
|
|
" (8404, 8764),\n",
|
|
|
|
|
" (8044, 9508),\n",
|
|
|
|
|
" (8356, 9748),\n",
|
|
|
|
|
" (7492, 8236),\n",
|
|
|
|
|
" (8644, 9340),\n",
|
|
|
|
|
" (7660, 8404),\n",
|
|
|
|
|
" (7804, 9436),\n",
|
|
|
|
|
" (7636, 8524),\n",
|
|
|
|
|
" (8212, 8380),\n",
|
|
|
|
|
" (8404, 9676),\n",
|
|
|
|
|
" (9556, 9628),\n",
|
|
|
|
|
" (8908, 9412),\n",
|
|
|
|
|
" (8524, 9076),\n",
|
|
|
|
|
" (8596, 8764),\n",
|
|
|
|
|
" (7516, 9796),\n",
|
|
|
|
|
" (7540, 8932),\n",
|
|
|
|
|
" (7540, 9820),\n",
|
|
|
|
|
" (7948, 8164),\n",
|
|
|
|
|
" (7468, 9652),\n",
|
|
|
|
|
" (7564, 7780),\n",
|
|
|
|
|
" (7780, 9484),\n",
|
|
|
|
|
" (8332, 9220),\n",
|
|
|
|
|
" (7540, 9508),\n",
|
|
|
|
|
" (7900, 9028),\n",
|
|
|
|
|
" ...]"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 92,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"combs"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"id": "df1e935d",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 77,
|
|
|
|
|
"id": "8f2ca472",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cee886fd",
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"metadata": {},
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{
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"cell_type": "code",
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"execution_count": 53,
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"id": "8eb7c2ee",
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"metadata": {},
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"outputs": [
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{
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"5029841\n",
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},
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{
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"data": {
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"text/plain": [
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"array([[4.3213072e-01, 3.3612296e-01, 4.9542564e-01, 1.1641532e-10],\n",
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" [4.2634511e-01, 3.3506793e-01, 4.9537191e-01, 1.1641532e-10],\n",
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" [4.2104098e-01, 3.3217159e-01, 4.9831006e-01, 1.1641532e-10],\n",
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" ...,\n",
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" [4.3010166e-01, 3.2942852e-01, 4.9635866e-01, 1.1641532e-10],\n",
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" [4.2487869e-01, 3.3458143e-01, 4.9207175e-01, 1.1641532e-10],\n",
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" [4.2629939e-01, 3.2695419e-01, 4.9106851e-01, 1.1641532e-10]],\n",
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" dtype=float32)"
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]
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},
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"execution_count": 53,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"for i in list(clid2map0.keys())[50000:]:\n",
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|
" print(i)\n",
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|
" k = clid2map0[i]\n",
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|
"\n",
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|
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" X = csiborgtools.read.load_parent_particles(k, parts0, clumpmap0, clid2map0, cat0.clumps_cat)\n",
|
|
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|
" if X is not None:\n",
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|
" break\n",
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"X"
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]
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},
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{
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|
"cell_type": "code",
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|
|
"execution_count": 54,
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|
"id": "a3eea061",
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|
"metadata": {},
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|
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|
"outputs": [
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|
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|
{
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|
"data": {
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|
"application/vnd.jupyter.widget-view+json": {
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"model_id": "be2ab0860ad24dc8a4a1087ae569f08a",
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|
"version_major": 2,
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|
"version_minor": 0
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},
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.scatter(X[:, 0], X[:, 1], s=1)\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1df6fd0f",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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2023-05-07 20:07:35 +02:00
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{
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"cell_type": "code",
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2023-05-08 15:02:20 +02:00
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"execution_count": 5,
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2023-05-07 20:07:35 +02:00
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"id": "de571afb",
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"metadata": {},
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"outputs": [],
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"source": [
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"parts = csiborgtools.read.read_h5(paths.particles_path(nsim0))[\"particles\"]"
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]
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},
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{
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"cell_type": "code",
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2023-05-08 15:02:20 +02:00
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"execution_count": 6,
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"id": "a90765b8",
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2023-05-07 20:07:35 +02:00
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"metadata": {},
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"outputs": [],
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"source": [
|
2023-05-13 18:37:34 +02:00
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"box = csiborgtools.read.CSiBORGBox(nsnap0, nsim0, paths)\n",
|
2023-05-08 15:02:20 +02:00
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"\n",
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"field = csiborgtools.field.DensityField(box, \"CIC\")"
|
2023-05-07 20:07:35 +02:00
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]
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},
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{
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"cell_type": "code",
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2023-05-08 15:02:20 +02:00
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"execution_count": 7,
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"id": "e97f1d15",
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"metadata": {},
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"outputs": [],
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"source": [
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"rho = np.load(paths.density_field_path(\"PCS\", 7444, False))\n",
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"rho_rsp = np.load(paths.density_field_path(\"PCS\", 7444, True))"
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]
|
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},
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{
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"cell_type": "code",
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"execution_count": 14,
|
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"id": "6368ca0f",
|
2023-05-07 20:07:35 +02:00
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|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
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|
"data": {
|
2023-05-08 15:02:20 +02:00
|
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "2823edefcb6e4838a49ac881e78c2ab1",
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"version_major": 2,
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|
"version_minor": 0
|
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},
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" </div>\n",
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" "
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],
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2023-05-07 20:07:35 +02:00
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"text/plain": [
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2023-05-08 15:02:20 +02:00
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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2023-05-07 20:07:35 +02:00
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]
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},
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"metadata": {},
|
2023-05-08 15:02:20 +02:00
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"output_type": "display_data"
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2023-05-07 20:07:35 +02:00
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}
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],
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"source": [
|
2023-05-08 15:02:20 +02:00
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"plt.figure()\n",
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"plt.imshow(np.sum(rho, axis=1))\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "b5db51bc",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "03895ddc21014d9d97c20a6c50671295",
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"version_major": 2,
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"version_minor": 0
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},
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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.imshow(np.sum(rho_rsp, axis=1))\n",
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"plt.show()"
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2023-05-07 20:07:35 +02:00
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"id": "b79fddeb",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0.0018435717"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"np.abs(x - 1).max()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "fb4398be",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 94,
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"id": "81ce3e39",
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"metadata": {},
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"outputs": [],
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"source": [
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"k0 = clumpmap0[clid2map0[0], 2] + 1\n",
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"# parts.shape[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 96,
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"id": "5384bc24",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"182510395"
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]
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},
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"execution_count": 96,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"parts.shape[0] - k0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"id": "32f9ca63",
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"metadata": {},
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"outputs": [],
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"source": [
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"clumps_cat = csiborgtools.read.ClumpsCatalogue(nsim0, paths, load_fitted=True, minmass=None, maxdist=155 / 0.705)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 119,
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"id": "6a1bf230",
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"metadata": {},
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"outputs": [],
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"source": [
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"cat = csiborgtools.read.HaloCatalogue(nsim0, paths, minmass=None)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 124,
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"id": "85eb7844",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 1, 3, 5, ..., 21809643, 21810694, 21818034],\n",
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" dtype=int32)"
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]
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},
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"execution_count": 124,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"cat['ID']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 114,
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"id": "b3fea4ab",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"153575"
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]
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},
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"execution_count": 114,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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|
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"source": [
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"len(cat)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 118,
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"id": "146b4c6e",
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"metadata": {},
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"outputs": [
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{
|
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"data": {
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"text/plain": [
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"1355"
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]
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},
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"execution_count": 118,
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"metadata": {},
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"output_type": "execute_result"
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}
|
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|
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],
|
|
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|
|
"source": [
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|
"numpy.isnan(cat[\"lagpatch\"]).sum()"
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]
|
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|
|
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},
|
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{
|
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"cell_type": "code",
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"execution_count": null,
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"id": "08e2b141",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 88,
|
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"id": "b8c91301",
|
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"metadata": {},
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"outputs": [
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{
|
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"data": {
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"text/plain": [
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|
"array([-42.401093 , -32.8627 , -45.08371 , ..., 9.587616 ,\n",
|
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|
" 5.0563965, 12.45813 ], dtype=float32)"
|
|
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|
|
]
|
|
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|
|
},
|
|
|
|
|
"execution_count": 88,
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"metadata": {},
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"output_type": "execute_result"
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}
|
|
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|
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],
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|
|
|
|
"source": [
|
|
|
|
|
"cat['x0']"
|
|
|
|
|
]
|
|
|
|
|
},
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|
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{
|
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"cell_type": "code",
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"execution_count": null,
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"id": "9cf882e0",
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"metadata": {},
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|
|
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|
"outputs": [],
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"source": []
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},
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{
|
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"cell_type": "code",
|
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|
|
|
"execution_count": 46,
|
|
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|
|
"id": "49a14648",
|
|
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|
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"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
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|
"data": {
|
|
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|
"text/plain": [
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|
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|
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"265246"
|
|
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|
]
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|
|
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},
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|
|
|
|
"execution_count": 46,
|
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"metadata": {},
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"output_type": "execute_result"
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|
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|
|
}
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|
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|
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],
|
|
|
|
|
"source": [
|
|
|
|
|
"len(clumps_cat)"
|
|
|
|
|
]
|
|
|
|
|
},
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|
|
|
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{
|
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"id": "ba45cf01",
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"metadata": {},
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"outputs": [
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"m = numpy.isfinite(clumps_cat[\"lambda200c\"])\n",
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"\n",
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"plt.figure()\n",
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"plt.hist(np.log10(clumps_cat[\"lambda200c\"][m]), bins=\"auto\")\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "38aa3685",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "86f807ab",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "629f3c3e",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 1, 2, 3, 5, 6, 7, 9, 11, 12, 13], dtype=int32)"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\n",
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"\n",
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"clumps_cat[\"index\"][:10]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "0b1b12e0",
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"metadata": {},
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"outputs": [],
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"source": [
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"X = csiborgtools.read.load_parent_particles(3, parts, clumpmap0, clid2map0, clumps_cat)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"id": "b9ae282b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"3"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"clump = csiborgtools.fits.Clump(X, clumps_cat[2], box)\n",
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"clumps_cat[2][\"index\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"id": "b75f9eb6",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(0.0008713664483347365, 1.8111896e-06)"
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]
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},
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"execution_count": 37,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"clump.spherical_overdensity_mass(200)"
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]
|
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"id": "b5f4b080",
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"metadata": {},
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"outputs": [],
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"source": [
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"def f(mass):\n",
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" return numpy.cumsum(mass)\n",
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"\n",
|
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"@jit(nopython=True)\n",
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"def g(mass):\n",
|
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" return numpy.cumsum(mass)\n",
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"\n",
|
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|
|
|
"x = clump['M']"
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]
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},
|
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{
|
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"cell_type": "code",
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"execution_count": 25,
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"id": "0163c51a",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
|
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"text": [
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"73.4 µs ± 401 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
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]
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}
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],
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"source": [
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"%timeit f(x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"id": "51ff9cf3",
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"metadata": {},
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"outputs": [
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{
|
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"name": "stdout",
|
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"output_type": "stream",
|
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"text": [
|
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"31.8 µs ± 385 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
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]
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}
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],
|
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"source": [
|
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"%timeit g(x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8886e9e8",
|
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"metadata": {},
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"outputs": [],
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"source": []
|
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},
|
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{
|
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|
"cell_type": "code",
|
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|
|
"execution_count": 19,
|
|
|
|
|
"id": "13f72d14",
|
|
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|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"3.79 ms ± 47.2 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"%timeit clump.spherical_overdensity_mass(200)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
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|
|
{
|
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|
"cell_type": "code",
|
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|
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"execution_count": 14,
|
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|
"id": "9baf6db9",
|
|
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|
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"metadata": {},
|
|
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|
"outputs": [
|
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|
|
{
|
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|
"data": {
|
|
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|
"application/vnd.jupyter.widget-view+json": {
|
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|
"model_id": "ea062d858e094536ac06bd22ee092002",
|
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|
"version_major": 2,
|
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|
"version_minor": 0
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},
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.plot(rs, y)\n",
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"plt.yscale(\"log\")\n",
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"plt.xscale(\"log\")\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "bd137d39",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"224 µs ± 4.17 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
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]
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}
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],
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"source": [
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"%timeit clump.r()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 87,
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"id": "0e0f4a71",
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"metadata": {},
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"outputs": [],
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"source": [
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"x, y, z = clump['x'], clump['y'], clump['z']\n",
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"x0, y0, z0 = clumps_cat[3]['x'], clumps_cat[3]['y'], clumps_cat[3]['z']\n"
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]
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},
|
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{
|
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|
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|
"cell_type": "code",
|
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|
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|
"execution_count": 93,
|
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|
|
"id": "80a18b34",
|
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"metadata": {},
|
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"outputs": [
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{
|
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|
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|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
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|
"text": [
|
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|
|
|
"145 µs ± 539 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\n"
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|
]
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}
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],
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"source": [
|
|
|
|
|
"%timeit ((x - x0)**2 + (y - y0)**2 + (z - z0)**2)**0.5"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 92,
|
|
|
|
|
"id": "f929a601",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"242 µs ± 6.44 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"%timeit clump.r()"
|
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|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 267,
|
|
|
|
|
"id": "cfd1af49",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"delta_bckg *= 2"
|
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|
|
]
|
|
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|
|
},
|
|
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|
|
{
|
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|
"cell_type": "code",
|
|
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|
|
"execution_count": 260,
|
|
|
|
|
"id": "28ac7a6d",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"1.23 ms ± 6.98 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
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|
]
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|
}
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|
|
],
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|
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"source": [
|
|
|
|
|
"%timeit delta1, delta2, cellmins, nonzero = overlapper.make_deltas(pos, pos2, mass, mass)\n",
|
|
|
|
|
"# __ = overlapper.make_deltas(pos, pos2, mass, mass)"
|
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|
|
|
]
|
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|
|
},
|
|
|
|
|
{
|
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|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 271,
|
|
|
|
|
"id": "9d157f6e",
|
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|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"1.75 ms ± 11.8 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
|
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|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"%timeit overlapper(pos, pos2, mass, mass, delta_bckg)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
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|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 259,
|
|
|
|
|
"id": "32f13411",
|
|
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|
|
"metadata": {},
|
|
|
|
|
"outputs": [
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|
|
{
|
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|
"data": {
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|
"application/vnd.jupyter.widget-view+json": {
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"model_id": "3072a8519f3e4da4a108df78ed44e6a9",
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|
"version_major": 2,
|
|
|
|
|
"version_minor": 0
|
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|
|
},
|
|
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|
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"text/html": [
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"\n",
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" <div style=\"display: inline-block;\">\n",
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
|
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|
" </div>\n",
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" <img src='data:image/png;base64,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|
" </div>\n",
|
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|
|
" "
|
|
|
|
|
],
|
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|
|
|
"text/plain": [
|
|
|
|
|
"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
|
|
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|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"fig, axs = plt.subplots(ncols=2, figsize=(10, 5))\n",
|
|
|
|
|
"axs[0].imshow(np.sum(delta1, axis=0))\n",
|
|
|
|
|
"axs[1].imshow(np.sum(delta2, axis=0))\n",
|
|
|
|
|
"fig.tight_layout()"
|
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|
]
|
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|
},
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|
{
|
|
|
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|
"cell_type": "code",
|
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|
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|
"execution_count": 93,
|
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|
|
"id": "6df1d619",
|
|
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|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"delta = overlapper.make_bckg_delta(pos, mass / mass)"
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|
]
|
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|
},
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{
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"cell_type": "code",
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|
"execution_count": 282,
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|
"id": "0d5525e5",
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"metadata": {},
|
|
|
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|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"from functools import cache \n",
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|
"from functools import lru_cache"
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|
]
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},
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{
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"cell_type": "code",
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"execution_count": 283,
|
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"id": "f2918a51",
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"metadata": {},
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|
"outputs": [],
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|
"source": [
|
|
|
|
|
"from time import sleep\n",
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|
"\n",
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|
|
"@lru_cache(maxsize=1024)\n",
|
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|
"def f(x):\n",
|
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" sleep(0.5)\n",
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|
|
" return x * x"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 286,
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"id": "4d37bc4f",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"79 ns ± 0.372 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)\n"
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]
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}
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],
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"source": [
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"%timeit f(2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 77,
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"id": "a46d6f48",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 0, 0, 277961071],\n",
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" [ 1, 277961072, 277980356],\n",
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" [ 2, 277980357, 277985437],\n",
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" ...,\n",
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" [ 21836472, 460470781, 460470782],\n",
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" [ 21836487, 460470783, 460471462],\n",
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" [ 21836785, 460471463, 460471466]], dtype=int32)"
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]
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},
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"execution_count": 77,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"clumpmap0[:]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 72,
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"id": "4a900d77",
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"metadata": {},
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"outputs": [],
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"source": [
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"dens = overlapper.make_delta(pos, mass, subbox=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 75,
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"id": "81b5381f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "7c3c84eac2ab4bc99d8af24f3aeb5b04",
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"version_major": 2,
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"version_minor": 0
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},
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"image/png": "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"\n",
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" <div style=\"display: inline-block;\">\n",
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
|
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" </div>\n",
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8aa1881c",
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"metadata": {},
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"outputs": [],
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"source": []
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3a0e02f7",
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{
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"cell_type": "code",
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"execution_count": 55,
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},
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"execution_count": 55,
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}
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"source": [
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"x.shape, x0.shape"
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{
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"\n",
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" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
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" Figure\n",
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" </div>\n",
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"# plt.scatter(x[:, 0], x[:, 1], s=0.1)\n",
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"plt.scatter(x0[:, 0], x0[:, 1], s=0.1)\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d0423f44",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6276d479",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "50a4a6d6",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7883167e",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "179d520e",
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"metadata": {},
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"outputs": [],
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "209c181f",
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"metadata": {},
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"outputs": [],
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b3253603",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "c6430d5c",
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"metadata": {},
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"outputs": [],
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"source": [
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"unique_clump_ids = numpy.unique(clump_ids)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"id": "ec9e90ab",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 0, 1, 2, 3, 5, 6, 7, 9, 11, 12, 13, 14, 15,\n",
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" 17, 19, 21, 22, 23, 29, 32, 34, 39, 43, 134, 137, 138,\n",
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" 139, 149, 151, 156, 157, 158, 159, 161, 163, 165, 167, 168, 169,\n",
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" 172, 173, 175, 178, 179, 181, 183, 186, 187, 188, 189, 191, 193,\n",
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" 194, 196, 197, 198, 204, 207, 209, 211, 212, 213, 214, 215, 216,\n",
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" 217, 218, 221, 223, 225, 227, 228, 231, 232, 237, 238, 240, 243,\n",
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" 245, 247, 248, 249, 252, 257, 258, 259, 260, 262, 263, 264, 267,\n",
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" 268, 269, 270, 272, 273, 274, 275, 276, 278], dtype=int32)"
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]
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},
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"unique_clump_ids[:100]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"id": "273df2d6",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"131 ns ± 0.529 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)\n"
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]
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}
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],
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"source": [
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"%timeit numpy.nan == numpy.nan"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"id": "6da0af29",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"791 ns ± 5.14 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\n"
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]
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}
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],
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"source": [
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"%timeit numpy.isnan(numpy.nan)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"id": "bd84b541",
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"metadata": {},
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"outputs": [
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{
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"ename": "TypeError",
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"evalue": "Object dtype dtype('O') has no native HDF5 equivalent",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[29], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m test \u001b[39m=\u001b[39m {\u001b[39m\"\u001b[39m\u001b[39masd\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39m1\u001b[39m}\n\u001b[1;32m 2\u001b[0m \u001b[39mwith\u001b[39;00m h5py\u001b[39m.\u001b[39mFile(\u001b[39m\"\u001b[39m\u001b[39mtest.hp\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mw\u001b[39m\u001b[39m'\u001b[39m) \u001b[39mas\u001b[39;00m f:\n\u001b[0;32m----> 3\u001b[0m f\u001b[39m.\u001b[39;49mcreate_dataset(\u001b[39m\"\u001b[39;49m\u001b[39mtest\u001b[39;49m\u001b[39m\"\u001b[39;49m, data\u001b[39m=\u001b[39;49mtest)\n",
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"File \u001b[0;32m~/csiborgtools/venv_csiborg/lib/python3.9/site-packages/h5py/_hl/group.py:183\u001b[0m, in \u001b[0;36mGroup.create_dataset\u001b[0;34m(self, name, shape, dtype, data, **kwds)\u001b[0m\n\u001b[1;32m 180\u001b[0m parent_path, name \u001b[39m=\u001b[39m name\u001b[39m.\u001b[39mrsplit(\u001b[39mb\u001b[39m\u001b[39m'\u001b[39m\u001b[39m/\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m1\u001b[39m)\n\u001b[1;32m 181\u001b[0m group \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrequire_group(parent_path)\n\u001b[0;32m--> 183\u001b[0m dsid \u001b[39m=\u001b[39m dataset\u001b[39m.\u001b[39;49mmake_new_dset(group, shape, dtype, data, name, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwds)\n\u001b[1;32m 184\u001b[0m dset \u001b[39m=\u001b[39m dataset\u001b[39m.\u001b[39mDataset(dsid)\n\u001b[1;32m 185\u001b[0m \u001b[39mreturn\u001b[39;00m dset\n",
|
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|
"File \u001b[0;32m~/csiborgtools/venv_csiborg/lib/python3.9/site-packages/h5py/_hl/dataset.py:88\u001b[0m, in \u001b[0;36mmake_new_dset\u001b[0;34m(parent, shape, dtype, data, name, chunks, compression, shuffle, fletcher32, maxshape, compression_opts, fillvalue, scaleoffset, track_times, external, track_order, dcpl, dapl, efile_prefix, virtual_prefix, allow_unknown_filter, rdcc_nslots, rdcc_nbytes, rdcc_w0)\u001b[0m\n\u001b[1;32m 86\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 87\u001b[0m dtype \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mdtype(dtype)\n\u001b[0;32m---> 88\u001b[0m tid \u001b[39m=\u001b[39m h5t\u001b[39m.\u001b[39;49mpy_create(dtype, logical\u001b[39m=\u001b[39;49m\u001b[39m1\u001b[39;49m)\n\u001b[1;32m 90\u001b[0m \u001b[39m# Legacy\u001b[39;00m\n\u001b[1;32m 91\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39many\u001b[39m((compression, shuffle, fletcher32, maxshape, scaleoffset)) \u001b[39mand\u001b[39;00m chunks \u001b[39mis\u001b[39;00m \u001b[39mFalse\u001b[39;00m:\n",
|
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"File \u001b[0;32mh5py/h5t.pyx:1664\u001b[0m, in \u001b[0;36mh5py.h5t.py_create\u001b[0;34m()\u001b[0m\n",
|
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|
"File \u001b[0;32mh5py/h5t.pyx:1688\u001b[0m, in \u001b[0;36mh5py.h5t.py_create\u001b[0;34m()\u001b[0m\n",
|
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"File \u001b[0;32mh5py/h5t.pyx:1748\u001b[0m, in \u001b[0;36mh5py.h5t.py_create\u001b[0;34m()\u001b[0m\n",
|
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"\u001b[0;31mTypeError\u001b[0m: Object dtype dtype('O') has no native HDF5 equivalent"
|
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|
]
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|
}
|
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],
|
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"source": [
|
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|
|
"test = {\"asd\": 1}\n",
|
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|
|
"with h5py.File(\"test.hp\", 'w') as f:\n",
|
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|
|
" f.create_dataset(\"test\", data=test)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "29e5a4ed",
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"metadata": {},
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"outputs": [],
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"source": [
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"f"
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|
]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"id": "317aef53",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"2360"
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]
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},
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"execution_count": 23,
|
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"metadata": {},
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"output_type": "execute_result"
|
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|
}
|
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|
|
],
|
|
|
|
|
"source": [
|
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|
|
|
"k0, kf = minmax_clump(259, clump_ids)\n",
|
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|
"\n",
|
|
|
|
|
"kf - k0 + 1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
|
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"id": "8fe50188",
|
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"metadata": {},
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"outputs": [
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{
|
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"data": {
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"text/plain": [
|
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"array([259, 259, 259, ..., 259, 259, 259], dtype=int32)"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
|
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],
|
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"source": [
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|
"clump_ids[k0:kf+1]"
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]
|
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d0508ab0",
|
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "011a9fea",
|
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"metadata": {},
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"outputs": [],
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"source": [
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|
"import numpy\n",
|
|
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|
"\n",
|
|
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|
|
"nsim = nsim0\n",
|
|
|
|
|
"nsnap = nsnap0\n",
|
|
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|
"\n",
|
|
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|
"\n",
|
|
|
|
|
"part0 = h5py.File(paths.initmatch_path(nsim, \"particles\"), 'r')['particles']\n",
|
|
|
|
|
"cmap = h5py.File(paths.particles_path(nsim, \"clumpmap\"), 'r')\n",
|
|
|
|
|
"partf = h5py.File(paths.particles_path(nsim), 'r')[\"particles\"]"
|
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|
]
|
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},
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{
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"cell_type": "code",
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"execution_count": 8,
|
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"id": "8f8c9116",
|
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"metadata": {},
|
|
|
|
|
"outputs": [],
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|
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"source": [
|
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|
|
"part0[cmap[str(558655)], :]"
|
|
|
|
|
]
|
|
|
|
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},
|
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{
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"cell_type": "code",
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"execution_count": 5,
|
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"id": "1d74f0e7",
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"metadata": {},
|
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"outputs": [],
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"source": [
|
|
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|
|
"cat = csiborgtools.read.ClumpsCatalogue(nsim, paths, rawdata=True)"
|
|
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|
|
]
|
|
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|
|
},
|
|
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{
|
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"cell_type": "code",
|
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|
|
"execution_count": 44,
|
|
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|
|
"id": "b595aa4b",
|
|
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"metadata": {},
|
|
|
|
|
"outputs": [
|
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|
{
|
|
|
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|
"name": "stderr",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"10000it [00:51, 193.86it/s]\n"
|
|
|
|
|
]
|
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|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"from tqdm import tqdm\n",
|
|
|
|
|
"y = np.zeros((10000, 2), dtype=np.int32)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"for i, hid in tqdm(enumerate(cat[\"index\"][cat.ismain][:10000])):\n",
|
|
|
|
|
" n = np.sum(cat[\"parent\"] == hid)\n",
|
|
|
|
|
" y[i, :] = hid, n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 8,
|
|
|
|
|
"id": "2bf99732",
|
|
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|
|
"metadata": {},
|
|
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|
|
"outputs": [
|
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|
|
{
|
|
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|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"array([558655, 558659, 558673, 558675, 558677, 558692, 558705, 558717,\n",
|
|
|
|
|
" 558724, 558726, 558739, 558746, 558857, 559232, 559256, 559292,\n",
|
|
|
|
|
" 559325, 559343, 559349, 559384, 559388, 559406, 559415, 559453,\n",
|
|
|
|
|
" 559467, 559473, 559492, 559496, 559541, 559544, 559548, 559570,\n",
|
|
|
|
|
" 559571, 559604, 559612, 559637, 559643, 559648, 559655, 559724,\n",
|
|
|
|
|
" 559735, 559779, 559780, 559792, 559802, 559804, 559817, 559910,\n",
|
|
|
|
|
" 559918, 559926, 559960, 559977, 559982, 559997, 560012, 560031,\n",
|
|
|
|
|
" 560122, 560213, 560325, 560375, 560426, 560517, 560798, 562156,\n",
|
|
|
|
|
" 563235, 563254, 563586, 563651, 563671, 563892, 564050, 564068,\n",
|
|
|
|
|
" 564138, 564153, 564358, 564525, 564734, 564745, 564779, 564831,\n",
|
|
|
|
|
" 565008, 565180, 565272, 565276, 565521, 565620, 565701, 565891,\n",
|
|
|
|
|
" 566046, 566604, 566705, 567047, 567336, 567720, 568897, 569232,\n",
|
|
|
|
|
" 569376, 569773, 573130, 575459, 575880, 576414, 579319, 579445,\n",
|
|
|
|
|
" 579722, 579770, 580117, 580388, 580441, 580507, 580518, 581594,\n",
|
|
|
|
|
" 581767, 582047, 582713, 583256, 586403, 587027, 587239, 588764,\n",
|
|
|
|
|
" 593803, 595742, 596219, 599285, 600189, 603135, 605484],\n",
|
|
|
|
|
" dtype=int32)"
|
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|
|
|
]
|
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|
},
|
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|
|
"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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|
}
|
|
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|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"cat[\"index\"][cat[\"parent\"] == 558655]"
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|
|
]
|
|
|
|
|
},
|
|
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{
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|
"cell_type": "code",
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|
"execution_count": 45,
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"id": "64aa63a2",
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|
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([558655, 127], dtype=int32)"
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|
]
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|
},
|
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|
"execution_count": 45,
|
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"metadata": {},
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"output_type": "execute_result"
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|
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|
}
|
|
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|
|
],
|
|
|
|
|
"source": [
|
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|
"y[np.argmax(y[:, 1]), :]"
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|
]
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|
},
|
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{
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|
"cell_type": "code",
|
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|
|
|
"execution_count": 8,
|
|
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|
|
"id": "4a5c0091",
|
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|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"keys = list(cmap.keys())"
|
|
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|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 11,
|
|
|
|
|
"id": "d6befe8b",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"[558655 558659 558673 558675 558677 558692 558705 558717 558724 558726\n",
|
|
|
|
|
" 558739 558746 558857 559232 559256 559292 559325 559343 559349 559384\n",
|
|
|
|
|
" 559388 559406 559415 559453 559467 559473 559492 559496 559541 559544\n",
|
|
|
|
|
" 559548 559570 559571 559604 559612 559637 559643 559648 559655 559724\n",
|
|
|
|
|
" 559735 559779 559780 559792 559802 559804 559817 559910 559918 559926\n",
|
|
|
|
|
" 559960 559977 559982 559997 560012 560031 560122 560213 560325 560375\n",
|
|
|
|
|
" 560426 560517 560798 562156 563235 563254 563586 563651 563671 563892\n",
|
|
|
|
|
" 564050 564068 564138 564153 564358 564525 564734 564745 564779 564831\n",
|
|
|
|
|
" 565008 565180 565272 565276 565521 565620 565701 565891 566046 566604\n",
|
|
|
|
|
" 566705 567047 567336 567720 568897 569232 569376 569773 573130 575459\n",
|
|
|
|
|
" 575880 576414 579319 579445 579722 579770 580117 580388 580441 580507\n",
|
|
|
|
|
" 580518 581594 581767 582047 582713 583256 586403 587027 587239 588764\n",
|
|
|
|
|
" 593803 595742 596219 599285 600189 603135 605484]\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
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|
|
" 0%| | 0/127 [00:00<?, ?it/s]"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"\n",
|
|
|
|
|
"csiborgtools.fits.load_parent_particles(558655, part0, cmap, cat)\n",
|
|
|
|
|
"# Xf = csiborgtools.fits.load_parent_particles(378, partf, cmap, cat)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 6,
|
|
|
|
|
"id": "ee1a8686",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
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|
|
"data": {
|
|
|
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
|
|
|
"model_id": "f9cee980a8fb4354aa78f811a8915e85",
|
|
|
|
|
"version_major": 2,
|
|
|
|
|
"version_minor": 0
|
|
|
|
|
},
|
|
|
|
|
"image/png": "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"text/html": [
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|
"\n",
|
|
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|
|
" <div style=\"display: inline-block;\">\n",
|
|
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|
|
" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
|
|
|
|
|
" Figure\n",
|
|
|
|
|
" </div>\n",
|
|
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"\n",
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"plt.scatter(X[:, 0], X[:, 1], s=0.1)\n",
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"# plt.scatter(Xf[:, 0], Xf[:, 1], s=0.1)\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1bbda411",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "6e9d36ca",
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"metadata": {},
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"outputs": [],
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"source": [
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"pid_final = np.load(\"pid_final.npy\")\n",
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"pid_init = np.load(\"pid_initial.npy\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "ac9c5c58",
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"metadata": {},
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"outputs": [],
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"source": [
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"pid_order = np.argsort(pid_final).astype(np.int32)\n",
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"\n",
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"pid_order_2 = np.argsort(pid_order).astype(np.int32)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "bcf3be0a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Sort them\n",
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"\n",
|
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|
|
"pid_init = pid_init[np.argsort(pid_init)]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "1218ba7f",
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"metadata": {},
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"outputs": [
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{
|
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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|
|
],
|
|
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"source": [
|
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|
|
|
"np.alltrue(pid_init[pid_order_2] == pid_final)"
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]
|
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "0a12563b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 6, 7, 8, ..., 429538984, 456581538,\n",
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" 456482476], dtype=int32)"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "95d9f0f7",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c7998177",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
|
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"execution_count": null,
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"id": "1b1ef66c",
|
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
|
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"execution_count": 25,
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"id": "5b9362d2",
|
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"metadata": {},
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"outputs": [
|
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{
|
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"data": {
|
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"text/plain": [
|
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"array([ 6, 7, 8, ..., 429538984, 456581538,\n",
|
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|
" 456482476], dtype=int32)"
|
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]
|
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},
|
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|
"execution_count": 25,
|
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|
"metadata": {},
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|
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"output_type": "execute_result"
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}
|
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],
|
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"source": [
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"\n",
|
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|
"\n",
|
|
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|
|
"\n",
|
|
|
|
|
"pid_final[pid_order][pid_order_2]"
|
|
|
|
|
]
|
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|
|
},
|
|
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|
|
{
|
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|
"cell_type": "code",
|
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|
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"execution_count": null,
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|
"id": "a333cacf",
|
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"metadata": {},
|
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"outputs": [],
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"source": []
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},
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{
|
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|
"cell_type": "code",
|
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"execution_count": null,
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"id": "cf7a4005",
|
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"metadata": {},
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"outputs": [],
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"source": []
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},
|
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{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"id": "884cfa0f",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
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|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"id": "ebcc11ae",
|
|
|
|
|
"metadata": {},
|
|
|
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|
"outputs": [],
|
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|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 18,
|
|
|
|
|
"id": "3f155db8",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"array([ 1, 2, 3, ..., 460357796, 460357797,\n",
|
|
|
|
|
" 460357798], dtype=int32)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 18,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"part0['ID']"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"id": "88feaaff",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": []
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 8,
|
|
|
|
|
"id": "20d1a6a0",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"indx1 = numpy.argsort(part0['ID'])\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"indx2 = numpy.argsort(pid)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"indx1_inv = numpy.argsort(indx1)\n",
|
|
|
|
|
"part0 = part0[indx2][indx1_inv]\n",
|
|
|
|
|
"# pid = pid[indx2]"
|
|
|
|
|
]
|
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([(0.6463347 , 0.5915494 , 0.3729033 , 1.1641532e-10, 285313656),\n",
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" (0.22073722, 0.49019635, 0.9627326 , 5.9604645e-08, 58672855),\n",
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" (0.7210556 , 0.18949312, 0.37298316, 5.9604645e-08, 459417395),\n",
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" ...,\n",
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" (0.46851808, 0.2966002 , 0.44987014, 1.1641532e-10, 2684309),\n",
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" (0.7481397 , 0.02954267, 0.8927611 , 5.9604645e-08, 402473389),\n",
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" (0.9159686 , 0.8301242 , 0.67392564, 5.9604645e-08, 287235917)],\n",
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" dtype=[('x', '<f4'), ('y', '<f4'), ('z', '<f4'), ('M', '<f4'), ('ID', '<i4')])"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"part0"
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]
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},
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{
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "78041a0a",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b6059fb3",
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"metadata": {},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "aafbd8d9",
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "4d989091",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 6, 7, 8, ..., 429538984, 456581538,\n",
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" 456482476], dtype=int32)"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pid"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "c97c3f51",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 1, 2, 3, ..., 460471465, 460471466,\n",
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" 460471467], dtype=int32)"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pid"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 1, 2, 3, 5, 6, 7, 9, 11, 12, 13, 15, 17, 19,\n",
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" 21, 22, 23, 29, 32, 34, 39, 134, 137, 138, 139, 149, 151,\n",
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" 156, 157, 158, 159, 161, 163, 167, 168, 169, 172, 173, 175, 178,\n",
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" 181, 186, 188, 189, 191, 196, 197, 198, 204, 209, 211], dtype=int32)"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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|
|
"cat = csiborgtools.read.ClumpsCatalogue(nsim, paths, load_fitted=False, rawdata=True)\n",
|
|
|
|
|
"parent_ids = cat[\"index\"][cat.ismain]\n",
|
|
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|
"\n",
|
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|
|
"parent_ids[:50]"
|
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]
|
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},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 54,
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"id": "af4fa7e0",
|
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"metadata": {},
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"outputs": [
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{
|
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"data": {
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"text/plain": [
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|
|
"11031538"
|
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|
]
|
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|
},
|
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|
|
"execution_count": 54,
|
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"metadata": {},
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"output_type": "execute_result"
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}
|
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],
|
|
|
|
|
"source": [
|
|
|
|
|
"i = cat[\"index\"][np.argsort(cat[\"mass_cl\"])[::-3][213]]\n",
|
|
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|
|
"i"
|
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|
|
]
|
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},
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{
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|
"cell_type": "code",
|
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|
"execution_count": 55,
|
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"id": "c57a56ac",
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"metadata": {},
|
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|
"outputs": [
|
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|
{
|
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|
"name": "stdout",
|
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|
|
"output_type": "stream",
|
|
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|
"text": [
|
|
|
|
|
"[11031538 11032027 11033906 11034471 11034477 11034692 11035306 11049411\n",
|
|
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|
|
" 11057461 11058959]\n",
|
|
|
|
|
"[24440, 256, 133, 0, 0, 0, 113, 0, 0, 0]\n"
|
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|
]
|
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|
|
}
|
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|
|
],
|
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|
|
"source": [
|
|
|
|
|
"# clid = 10170336\n",
|
|
|
|
|
"# clid = 10170336 + 12\n",
|
|
|
|
|
"clid = i\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"mmain_indxs = cat[\"index\"][cat[\"parent\"] == clid]\n",
|
|
|
|
|
"# mask = clump_ids == clid\n",
|
|
|
|
|
"# print(mask.sum())\n",
|
|
|
|
|
"print(mmain_indxs)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"print([numpy.sum(clump_ids == j) for j in mmain_indxs])\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
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|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 56,
|
|
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|
|
"id": "4ad427f1",
|
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|
"metadata": {},
|
|
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|
"outputs": [
|
|
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|
|
{
|
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"data": {
|
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|
"text/plain": [
|
|
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|
|
"24942"
|
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|
]
|
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|
},
|
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|
|
"execution_count": 56,
|
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|
"metadata": {},
|
|
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|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"mask = numpy.isin(clump_ids, mmain_indxs)\n",
|
|
|
|
|
"mask.sum()"
|
|
|
|
|
]
|
|
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|
|
},
|
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|
|
{
|
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|
"cell_type": "code",
|
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|
|
|
"execution_count": 57,
|
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"metadata": {},
|
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0
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},
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|
|
" <div style=\"display: inline-block;\">\n",
|
|
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|
|
" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
|
|
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|
|
" Figure\n",
|
|
|
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|
" </div>\n",
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|
|
" <img src='data:image/png;base64,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
|
|
|
|
|
" </div>\n",
|
|
|
|
|
" "
|
|
|
|
|
],
|
|
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|
|
"text/plain": [
|
|
|
|
|
"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
|
|
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|
|
]
|
|
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|
},
|
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"metadata": {},
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"output_type": "display_data"
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}
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|
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|
],
|
|
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"source": [
|
|
|
|
|
"# coords = part0[mask, :]\n",
|
|
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|
|
"plt.figure()\n",
|
|
|
|
|
"plt.scatter(part0['x'][mask], part0['y'][mask], s=1)\n",
|
|
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|
"\n",
|
|
|
|
|
"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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|
"id": "72a723d2",
|
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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|
"cell_type": "code",
|
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|
|
"execution_count": null,
|
|
|
|
|
"id": "33d088f2",
|
|
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"metadata": {},
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"outputs": [],
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"source": []
|
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|
},
|
|
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|
{
|
|
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|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"id": "e54f3005",
|
|
|
|
|
"metadata": {},
|
|
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|
"outputs": [],
|
|
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|
"source": []
|
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|
},
|
|
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|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 193,
|
2023-04-27 01:18:30 +02:00
|
|
|
"id": "b097637b",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2023-05-07 20:07:35 +02:00
|
|
|
"particles0 = h5py.File(paths.initmatch_path(nsim0, \"particles\"), 'r')['particles']\n",
|
|
|
|
|
"particlesx = h5py.File(paths.initmatch_path(nsimx, \"particles\") , 'r')['particles']"
|
2023-04-27 01:18:30 +02:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2023-05-07 20:07:35 +02:00
|
|
|
"execution_count": 4,
|
2023-04-27 01:18:30 +02:00
|
|
|
"id": "c3cf4c91",
|
|
|
|
|
"metadata": {},
|
2023-05-07 20:07:35 +02:00
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"# delta_bckg = overlapper.make_bckg_delta(particles0, verbose=True)\n",
|
|
|
|
|
"# delta_bckg = overlapper.make_bckg_delta(particlesx, delta=delta_bckg, verbose=True)\n",
|
|
|
|
|
"# np.save(\"./bckg_{}_{}.npy\".format(nsim0, nsimx), delta_bckg)\n",
|
|
|
|
|
"# delta_bckg = np.load(\"./bckg_{}_{}.npy\".format(nsim0, nsimx))"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 194,
|
|
|
|
|
"id": "f7a602a5",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"map0 = h5py.File(paths.initmatch_path(nsim0, \"halomap\"), 'r')\n",
|
|
|
|
|
"mapx = h5py.File(paths.initmatch_path(nsimx, \"halomap\"), 'r')"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 174,
|
|
|
|
|
"id": "79ddf8f5",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"keys = np.array(sorted([int(x) for x in mapx.keys()]))"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 175,
|
|
|
|
|
"id": "326b4ae8",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
2023-05-13 18:37:34 +02:00
|
|
|
"paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)\n",
|
2023-05-07 20:07:35 +02:00
|
|
|
"\n",
|
|
|
|
|
"halocat = csiborgtools.read.HaloCatalogue(nsimx, paths, rawdata=True)\n",
|
|
|
|
|
"clumpcat = csiborgtools.read.ClumpsCatalogue(nsimx, paths, rawdata=True)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 176,
|
|
|
|
|
"id": "6d5a86b2",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"10"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"execution_count": 176,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"clid = 2\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"np.sum(clumpcat[\"parent\"] == clid)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# mmain_indxs = clumpcat[\"index\"][clumpcat[\"parent\"] == clid]\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# mmain_indxs\n",
|
|
|
|
|
"# mmain_mask = numpy.isin(clump_ids, mmain_indxs, assume_unique=True)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 195,
|
|
|
|
|
"id": "099d3357",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"fs = list(map0.keys())"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 196,
|
|
|
|
|
"id": "21aa49af",
|
|
|
|
|
"metadata": {},
|
2023-04-27 01:18:30 +02:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
2023-05-07 20:07:35 +02:00
|
|
|
"100%|██████████| 173643/173643 [01:29<00:00, 1947.49it/s]"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"362439022\n"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"\n"
|
2023-04-27 01:18:30 +02:00
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2023-05-07 20:07:35 +02:00
|
|
|
"from tqdm import tqdm\n",
|
|
|
|
|
"tot = 0\n",
|
|
|
|
|
"for f in tqdm(fs):\n",
|
|
|
|
|
" tot += map0[f].shape[0]\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"print(tot)"
|
2023-04-27 01:18:30 +02:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2023-05-07 20:07:35 +02:00
|
|
|
"execution_count": 197,
|
|
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"id": "278de818",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<HDF5 dataset \"particles\": shape (182510395, 4), type \"<f4\">"
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]
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},
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"execution_count": 197,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"particles0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 198,
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"id": "e55b65c4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1.9858541317605498"
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]
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},
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"execution_count": 198,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"tot / 182510395"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 172,
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"id": "373423b2",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<HDF5 dataset \"particles\": shape (182036133, 4), type \"<f4\">"
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]
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},
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"execution_count": 172,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"particlesx"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 177,
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"id": "d5b65fcb",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"86031"
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]
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},
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"execution_count": 177,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"i = 10170336\n",
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"\n",
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"\n",
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"k = np.where(cat[\"ID\"] == i)[0][0]\n",
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"k"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 178,
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"id": "709cb935",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"10170336\n"
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]
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},
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{
|
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"data": {
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"text/plain": [
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"<HDF5 dataset \"10170336\": shape (2085,), type \"<i8\">"
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]
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},
|
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"execution_count": 178,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
|
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"source": [
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|
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|
|
"# i = np.random.choice(keys[keys<100000])\n",
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|
"\n",
|
|
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|
|
"# # i = 10040155 #+ 11\n",
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"\n",
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"print(i)\n",
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|
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"# i = 32\n",
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|
|
"\n",
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"\n",
|
|
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|
|
"mask = map0[str(i)]\n",
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"mask"
|
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|
|
]
|
|
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|
|
},
|
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{
|
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|
"cell_type": "code",
|
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|
|
|
"execution_count": 183,
|
|
|
|
|
"id": "7f4a40a5",
|
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|
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"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"halo = particlesx[mask, :]"
|
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|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
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|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 184,
|
|
|
|
|
"id": "e83806b1",
|
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"metadata": {},
|
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|
"outputs": [
|
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|
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{
|
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|
|
|
"data": {
|
|
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|
|
"text/plain": [
|
|
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|
|
"2085.000032720428"
|
|
|
|
|
]
|
|
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|
|
},
|
|
|
|
|
"execution_count": 184,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"np.sum(halo[:, 3]) / 1.1641532e-10"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 186,
|
|
|
|
|
"id": "7fe3494d",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
|
|
|
"model_id": "92b87db2ae5440c19f4b4694e9e98aaf",
|
|
|
|
|
"version_major": 2,
|
|
|
|
|
"version_minor": 0
|
|
|
|
|
},
|
|
|
|
|
"image/png": "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
|
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"text/html": [
|
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|
|
"\n",
|
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|
|
|
" <div style=\"display: inline-block;\">\n",
|
|
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|
|
" <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
|
|
|
|
|
" Figure\n",
|
|
|
|
|
" </div>\n",
|
|
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" <img src='data:image/png;base64,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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plt.figure()\n",
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"plt.scatter(halo[:, 0], halo[:, 1], s=2)\n",
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"# plt.scatter(cat['x'][k], cat['y'][k], s=10, c='r')\n",
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"\n",
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"plt.xlabel(r\"x\")\n",
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"plt.ylabel(r\"y\")\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c0c2d4fe",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2f2ead3e",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d48adc68",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "276b5823",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "13f4cf79",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "11a909af",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "105862df",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a2f25a4e",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "93fbe29d",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
|
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"execution_count": null,
|
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|
|
"id": "64608a92",
|
2023-04-27 01:18:30 +02:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
2023-05-07 20:07:35 +02:00
|
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"source": []
|
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|
},
|
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{
|
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"cell_type": "code",
|
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|
"execution_count": 21,
|
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"id": "35442e33",
|
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"metadata": {},
|
|
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|
"outputs": [
|
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|
{
|
|
|
|
|
"name": "stderr",
|
|
|
|
|
"output_type": "stream",
|
|
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|
"text": [
|
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|
"/tmp/ipykernel_7442/2249068321.py:2: RuntimeWarning: divide by zero encountered in log10\n",
|
|
|
|
|
" plt.imshow(np.log10(np.sum(delta_bckg, axis=0)))\n"
|
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|
]
|
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|
},
|
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{
|
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"data": {
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|
"application/vnd.jupyter.widget-view+json": {
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"model_id": "bb36c88a57034c6ea702eb545cc6e57b",
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|
"version_major": 2,
|
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|
"version_minor": 0
|
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},
|
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" </div>\n",
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" "
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],
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"text/plain": [
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"Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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2023-04-28 14:57:23 +02:00
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"source": [
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2023-05-07 20:07:35 +02:00
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"plt.figure()\n",
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"plt.imshow(np.log10(np.sum(delta_bckg, axis=0)))\n",
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"plt.show()"
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2023-04-28 14:57:23 +02:00
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "1d8ad8fe",
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"metadata": {},
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"outputs": [],
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"source": [
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"f = h5py.File(\"../data/particles_7444.h5\", \"r\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "020ac8e4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([ 4.42346358e-01, 7.09757663e-03, 4.64053304e-01, -1.96926287e-03,\n",
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" -2.67177823e-03, -6.45721859e-04, 1.16415322e-10])"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"f[\"particles\"][0, :]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1eb74f46",
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"metadata": {},
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"outputs": [],
|
2023-04-27 01:18:30 +02:00
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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2023-04-28 14:57:23 +02:00
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"display_name": "venv_csiborg",
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2023-04-27 01:18:30 +02:00
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"language": "python",
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2023-05-09 17:18:01 +02:00
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"name": "python3"
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2023-04-28 14:57:23 +02:00
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
|
2023-04-27 01:18:30 +02:00
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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