csiborgtools/notebooks/playground_matching.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "5a38ed25",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T14:16:01.928614Z",
"start_time": "2023-03-24T14:15:34.242247Z"
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"not found\n"
]
}
],
"source": [
"import numpy as np\n",
"import numpy\n",
"%matplotlib notebook\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"try:\n",
" import csiborgtools\n",
"except ModuleNotFoundError:\n",
" print(\"not found\")\n",
" import sys\n",
" sys.path.append(\"../\")\n",
" import csiborgtools\n",
"# import utils\n",
"import joblib\n",
"\n",
"from scipy.stats import spearmanr\n",
"from datetime import datetime\n",
"\n",
"from tqdm import tqdm, trange\n",
"from numba import jit\n",
"from scipy.ndimage import gaussian_filter\n",
"\n",
"from os.path import join\n",
"%load_ext autoreload\n",
"%autoreload 2\n",
"\n",
"%load_ext line_profiler"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "190d39e6",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T14:16:12.485845Z",
"start_time": "2023-03-24T14:16:01.930739Z"
}
},
"outputs": [],
"source": [
"cat0 = csiborgtools.read.ClumpsCatalogue(7468)\n",
"catx = csiborgtools.read.ClumpsCatalogue(7588)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "09c93ab0",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T14:16:31.435607Z",
"start_time": "2023-03-24T14:16:12.487458Z"
},
"scrolled": true
},
"outputs": [],
"source": [
"reader = csiborgtools.read.PairOverlap(cat0, catx, max_dist=150 / 0.705)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "650cbe8a",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T14:27:04.213308Z",
"start_time": "2023-03-24T14:27:00.679174Z"
},
"scrolled": false
},
"outputs": [
{
"data": {
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"/* Put everything inside the global mpl namespace */\n",
"/* global mpl */\n",
"window.mpl = {};\n",
"\n",
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" } else if (typeof MozWebSocket !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert(\n",
" 'Your browser does not have WebSocket support. ' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.'\n",
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" warnings.style.display = 'block';\n",
" warnings.textContent =\n",
" 'This browser does not support binary websocket messages. ' +\n",
" 'Performance may be slow.';\n",
" }\n",
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"\n",
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"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
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"mpl.figure.prototype._init_canvas = function () {\n",
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"\n",
" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
" canvas_div.setAttribute(\n",
" 'style',\n",
" 'border: 1px solid #ddd;' +\n",
" 'box-sizing: content-box;' +\n",
" 'clear: both;' +\n",
" 'min-height: 1px;' +\n",
" 'min-width: 1px;' +\n",
" 'outline: 0;' +\n",
" 'overflow: hidden;' +\n",
" 'position: relative;' +\n",
" 'resize: both;'\n",
" );\n",
"\n",
" function on_keyboard_event_closure(name) {\n",
" return function (event) {\n",
" return fig.key_event(event, name);\n",
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"\n",
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"\n",
" this._canvas_extra_style(canvas_div);\n",
" this.root.appendChild(canvas_div);\n",
"\n",
" var canvas = (this.canvas = document.createElement('canvas'));\n",
" canvas.classList.add('mpl-canvas');\n",
" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
"\n",
" this.context = canvas.getContext('2d');\n",
"\n",
" var backingStore =\n",
" this.context.backingStorePixelRatio ||\n",
" this.context.webkitBackingStorePixelRatio ||\n",
" this.context.mozBackingStorePixelRatio ||\n",
" this.context.msBackingStorePixelRatio ||\n",
" this.context.oBackingStorePixelRatio ||\n",
" this.context.backingStorePixelRatio ||\n",
" 1;\n",
"\n",
" this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
" 'canvas'\n",
" ));\n",
" rubberband_canvas.setAttribute(\n",
" 'style',\n",
" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
" );\n",
"\n",
" // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
" if (this.ResizeObserver === undefined) {\n",
" if (window.ResizeObserver !== undefined) {\n",
" this.ResizeObserver = window.ResizeObserver;\n",
" } else {\n",
" var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
" this.ResizeObserver = obs.ResizeObserver;\n",
" }\n",
" }\n",
"\n",
" this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
" var nentries = entries.length;\n",
" for (var i = 0; i < nentries; i++) {\n",
" var entry = entries[i];\n",
" var width, height;\n",
" if (entry.contentBoxSize) {\n",
" if (entry.contentBoxSize instanceof Array) {\n",
" // Chrome 84 implements new version of spec.\n",
" width = entry.contentBoxSize[0].inlineSize;\n",
" height = entry.contentBoxSize[0].blockSize;\n",
" } else {\n",
" // Firefox implements old version of spec.\n",
" width = entry.contentBoxSize.inlineSize;\n",
" height = entry.contentBoxSize.blockSize;\n",
" }\n",
" } else {\n",
" // Chrome <84 implements even older version of spec.\n",
" width = entry.contentRect.width;\n",
" height = entry.contentRect.height;\n",
" }\n",
"\n",
" // Keep the size of the canvas and rubber band canvas in sync with\n",
" // the canvas container.\n",
" if (entry.devicePixelContentBoxSize) {\n",
" // Chrome 84 implements new version of spec.\n",
" canvas.setAttribute(\n",
" 'width',\n",
" entry.devicePixelContentBoxSize[0].inlineSize\n",
" );\n",
" canvas.setAttribute(\n",
" 'height',\n",
" entry.devicePixelContentBoxSize[0].blockSize\n",
" );\n",
" } else {\n",
" canvas.setAttribute('width', width * fig.ratio);\n",
" canvas.setAttribute('height', height * fig.ratio);\n",
" }\n",
" canvas.setAttribute(\n",
" 'style',\n",
" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
" );\n",
"\n",
" rubberband_canvas.setAttribute('width', width);\n",
" rubberband_canvas.setAttribute('height', height);\n",
"\n",
" // And update the size in Python. We ignore the initial 0/0 size\n",
" // that occurs as the element is placed into the DOM, which should\n",
" // otherwise not happen due to the minimum size styling.\n",
" if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
" fig.request_resize(width, height);\n",
" }\n",
" }\n",
" });\n",
" this.resizeObserverInstance.observe(canvas_div);\n",
"\n",
" function on_mouse_event_closure(name) {\n",
" return function (event) {\n",
" return fig.mouse_event(event, name);\n",
" };\n",
" }\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mousedown',\n",
" on_mouse_event_closure('button_press')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseup',\n",
" on_mouse_event_closure('button_release')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'dblclick',\n",
" on_mouse_event_closure('dblclick')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\n",
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"\n",
" function set_focus() {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
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"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
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" };\n",
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"\n",
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" if (!event.currentTarget.disabled) {\n",
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" }\n",
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" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
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" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"};\n",
"\n",
"mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
"};\n",
"\n",
"mpl.figure.prototype.send_message = function (type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"};\n",
"\n",
"mpl.figure.prototype.send_draw_message = function () {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
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" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
" fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_message = function (fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
" for (var key in msg) {\n",
" if (!(key in fig.buttons)) {\n",
" continue;\n",
" }\n",
" fig.buttons[key].disabled = !msg[key];\n",
" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
" if (msg['mode'] === 'PAN') {\n",
" fig.buttons['Pan'].classList.add('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" } else if (msg['mode'] === 'ZOOM') {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.add('active');\n",
" } else {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message('ack', {});\n",
"};\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function (fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" var img = evt.data;\n",
" if (img.type !== 'image/png') {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" img.type = 'image/png';\n",
" }\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src\n",
" );\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" img\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig['handle_' + msg_type];\n",
" } catch (e) {\n",
" console.log(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\n",
" }\n",
" }\n",
" };\n",
"};\n",
"\n",
"// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function (e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e) {\n",
" e = window.event;\n",
" }\n",
" if (e.target) {\n",
" targ = e.target;\n",
" } else if (e.srcElement) {\n",
" targ = e.srcElement;\n",
" }\n",
" if (targ.nodeType === 3) {\n",
" // defeat Safari bug\n",
" targ = targ.parentNode;\n",
" }\n",
"\n",
" // pageX,Y are the mouse positions relative to the document\n",
" var boundingRect = targ.getBoundingClientRect();\n",
" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
"\n",
" return { x: x, y: y };\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * https://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys(original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object') {\n",
" obj[key] = original[key];\n",
" }\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function (event, name) {\n",
" var canvas_pos = mpl.findpos(event);\n",
"\n",
" if (name === 'button_press') {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * this.ratio;\n",
" var y = canvas_pos.y * this.ratio;\n",
"\n",
" this.send_message(name, {\n",
" x: x,\n",
" y: y,\n",
" button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event),\n",
" });\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"};\n",
"\n",
"mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"};\n",
"\n",
"mpl.figure.prototype.key_event = function (event, name) {\n",
" // Prevent repeat events\n",
" if (name === 'key_press') {\n",
" if (event.key === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.key;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.key !== 'Control') {\n",
" value += 'ctrl+';\n",
" }\n",
" else if (event.altKey && event.key !== 'Alt') {\n",
" value += 'alt+';\n",
" }\n",
" else if (event.shiftKey && event.key !== 'Shift') {\n",
" value += 'shift+';\n",
" }\n",
"\n",
" value += 'k' + event.key;\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
" return false;\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
" if (name === 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message('toolbar_button', { name: name });\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"\n",
"///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
"// prettier-ignore\n",
"var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
"\n",
"mpl.default_extension = \"png\";/* global mpl */\n",
"\n",
"var comm_websocket_adapter = function (comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.binaryType = comm.kernel.ws.binaryType;\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" function updateReadyState(_event) {\n",
" if (comm.kernel.ws) {\n",
" ws.readyState = comm.kernel.ws.readyState;\n",
" } else {\n",
" ws.readyState = 3; // Closed state.\n",
" }\n",
" }\n",
" comm.kernel.ws.addEventListener('open', updateReadyState);\n",
" comm.kernel.ws.addEventListener('close', updateReadyState);\n",
" comm.kernel.ws.addEventListener('error', updateReadyState);\n",
"\n",
" ws.close = function () {\n",
" comm.close();\n",
" };\n",
" ws.send = function (m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function (msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" var data = msg['content']['data'];\n",
" if (data['blob'] !== undefined) {\n",
" data = {\n",
" data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
" };\n",
" }\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(data);\n",
" });\n",
" return ws;\n",
"};\n",
"\n",
"mpl.mpl_figure_comm = function (comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element;\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error('Failed to find cell for figure', id, fig);\n",
" return;\n",
" }\n",
" fig.cell_info[0].output_area.element.on(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\n",
" fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable();\n",
" fig.parent_element.innerHTML =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
" fig.close_ws(fig, msg);\n",
"};\n",
"\n",
"mpl.figure.prototype.close_ws = function (fig, msg) {\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"};\n",
"\n",
"mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"};\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function () {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message('ack', {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\n",
" for (var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" if (event.target !== this) {\n",
" // Ignore bubbled events from children.\n",
" return;\n",
" }\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('tabindex', 0);\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which === 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" fig.ondownload(fig, null);\n",
"};\n",
"\n",
"mpl.find_output_cell = function (html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i = 0; i < ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code') {\n",
" for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] === html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"};\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel !== null) {\n",
" IPython.notebook.kernel.comm_manager.register_target(\n",
" 'matplotlib',\n",
" mpl.mpl_figure_comm\n",
" );\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
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"data": {
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],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ks = np.argsort(reader.cat0(\"totpartmass\"))[::-1]\n",
"k = ks[1]\n",
"\n",
"\n",
"plt.figure()\n",
"plt.scatter(reader.dist(False, \"r200\")[k], reader.mass_ratio()[k], c=reader.overlap(False)[k])\n",
"plt.colorbar(label=\"Overlap\")\n",
"\n",
"plt.title(r\"$\\log M_{{\\rm tot}} / M_\\odot = {:.4f}$\".format(np.log10(reader.cat0(\"totpartmass\")[k])))\n",
"plt.xlabel(r\"$\\Delta r_i / R_{200c}$\")\n",
"plt.ylabel(r\"$|\\log \\dfrac{M_i}{M_{\\rm tot}}|$\")\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "51dd52f0",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T14:49:25.961273Z",
"start_time": "2023-03-24T14:27:05.607189Z"
},
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting: 2023-03-24 14:27:05.644524.\n",
"Loaded `clump0`: 2023-03-24 14:41:48.868024.\n",
"Loaded `clumpx`: 2023-03-24 14:49:25.871648.\n"
]
}
],
"source": [
"print(\"Starting: {}.\".format(datetime.now()))\n",
"clumps0 = np.load(\"/mnt/extraspace/rstiskalek/csiborg/initmatch/clump_7468_particles.npy\", allow_pickle=True)\n",
"print(\"Loaded `clump0`: {}.\".format(datetime.now()))\n",
"clumpsx = np.load(\"/mnt/extraspace/rstiskalek/csiborg/initmatch/clump_7588_particles.npy\", allow_pickle=True)\n",
"print(\"Loaded `clumpx`: {}.\".format(datetime.now()))\n",
"\n",
"overlapper = csiborgtools.match.ParticleOverlap()\n",
"\n",
"hid2clumps0 = {hid: n for n, hid in enumerate(clumps0[\"ID\"])}\n",
"hid2clumpsx = {hid: n for n, hid in enumerate(clumpsx[\"ID\"])}"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "bcef2505",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T15:09:47.965132Z",
"start_time": "2023-03-24T15:08:50.141995Z"
}
},
"outputs": [],
"source": [
"# Convert positions to cell IDs\n",
"overlapper.clumps_pos2cell(clumps0)\n",
"overlapper.clumps_pos2cell(clumpsx)\n",
"\n",
"mins0, maxs0 = csiborgtools.match.get_clumplims(clumps0, overlapper.inv_clength, overlapper.nshift)\n",
"minsx, maxsx = csiborgtools.match.get_clumplims(clumpsx, overlapper.inv_clength, overlapper.nshift)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "e2c24b54",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T15:10:35.352871Z",
"start_time": "2023-03-24T15:09:47.966986Z"
}
},
"outputs": [],
"source": [
"delta_bckg = overlapper.make_bckg_delta(clumps0)\n",
"delta_bckg = overlapper.make_bckg_delta(clumpsx, delta=delta_bckg)"
]
},
{
"cell_type": "code",
"execution_count": 369,
"id": "fb4e8c0a",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T17:04:22.358413Z",
"start_time": "2023-03-24T17:01:54.600744Z"
}
},
"outputs": [],
"source": [
"smooth_kwargs = {\"sigma\": 1, \"truncate\": 4, \"mode\": \"constant\", \"cval\": 0.0}\n",
"\n",
"delta_bckg_smooth = gaussian_filter(delta_bckg, **smooth_kwargs)"
]
},
{
"cell_type": "code",
"execution_count": 363,
"id": "bb707fb2",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T17:00:16.973318Z",
"start_time": "2023-03-24T17:00:16.011637Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Ratio is 0.9820815\n",
"Original overlap is 0.6785714\n",
"Smoothed overlap is 0.6664124\n"
]
},
{
"data": {
"text/plain": [
"0.32628544480462635"
]
},
"execution_count": 363,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# k = 24734 # skull!\n",
"\n",
"ks = np.argsort(reader.cat0(\"totpartmass\"))[::-1]\n",
"# k = ks[1]\n",
"k = 331\n",
"n = 0\n",
"\n",
"print(\"Ratio is \", summed_ratio[k])\n",
"\n",
"print(\"Original overlap is \", overlap_raw[k][n])\n",
"print(\"Smoothed overlap is \", overlap_smoothed[k][n])\n",
"\n",
"index_cl0 = hid2clumps0[reader.cat0(\"index\", k)]\n",
"cl0 = clumps0[index_cl0][0]\n",
"mins_cl0, maxs_cl0 = mins0[index_cl0], maxs0[index_cl0]\n",
"\n",
"index_clx = hid2clumpsx[reader.catx(\"index\", reader[\"match_indxs\"][k][n])]\n",
"clx = clumpsx[index_clx][0]\n",
"mins_clx, maxs_clx = minsx[index_clx], maxsx[index_clx]\n",
"\n",
"\n",
"\n",
"delta1, delta2, cellmins, nonzero = overlapper.make_deltas(\n",
" cl0, clx, mins_cl0, maxs_cl0, mins_clx, maxs_clx, smooth_kwargs=smooth_kwargs)\n",
"\n",
"csiborgtools.match.calculate_overlap(delta1, delta2, cellmins, delta_bckg_smooth)"
]
},
{
"cell_type": "code",
"execution_count": 364,
"id": "5eeed44f",
"metadata": {
"ExecuteTime": {
"end_time": "2023-03-24T17:00:19.825171Z",
"start_time": "2023-03-24T17:00:19.787750Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"NGP/smoothed overlap 0.6785714 0.6664124\n",
"0.32628544480462635\n",
"Sum is 0.32628544480462635\n",
"Originally NGP/smoothed was 0.6785714 0.6664124\n"
]
}
],
"source": [
"xs = []\n",
"for n in range(reader[\"match_indxs\"][k].size):\n",
"\n",
" index_clx = hid2clumpsx[reader.catx(\"index\", reader[\"match_indxs\"][k][n])]\n",
" clx = clumpsx[index_clx][0]\n",
" mins_clx, maxs_clx = minsx[index_clx], maxsx[index_clx]\n",
" \n",
" print(\"NGP/smoothed overlap \", overlap_raw[k][n], overlap_smoothed[k][n])\n",
" delta1, delta2, cellmins, nonzero1 = overlapper.make_deltas(\n",
" cl0, clx, mins_cl0, maxs_cl0, mins_clx, maxs_clx, smooth_kwargs=smooth_kwargs)\n",
" \n",
" x = csiborgtools.match.calculate_overlap(delta1, delta2, cellmins, delta_bckg_smooth)\n",
" print(x)\n",
" xs.append(x)\n",
" \n",
"print(\"Sum is \", sum(xs))\n",
"print(\"Originally NGP/smoothed was \", summed_raw[k], summed_smoothed[k])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1db1bc57",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "5883ecc7",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-31T17:51:03.510067Z",
"start_time": "2023-01-31T17:51:03.469080Z"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a58b300c",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "56b90375",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T18:54:51.064154Z",
"start_time": "2023-01-28T18:54:47.314086Z"
}
},
"outputs": [],
"source": [
"dlogm = [None] * len(indxs)\n",
"mass = [None] * len(indxs)\n",
"for k in trange(len(indxs)):\n",
" dlogm[k] = np.abs(np.log10(cat[0][\"totpartmass\"][k]) - np.log10(cat[1][\"totpartmass\"][indxs[k]]))\n",
" mass[k] = np.ones(indxs[k].size) * cat[0][\"totpartmass\"][k]\n",
"dlogm = np.asanyarray(dlogm)\n",
"mass = np.asanyarray(mass)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e44414b7",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T18:56:19.841434Z",
"start_time": "2023-01-28T18:56:19.041227Z"
}
},
"outputs": [],
"source": [
"plt.figure()\n",
"plt.scatter(np.concatenate(dlogm), np.concatenate(overlap), s=1, rasterized=True)\n",
"t = np.linspace(0, 2)\n",
"plt.plot(t, 10**(-t), c=\"red\", label=r\"$10^{-|\\log M_1 / M_2|}$\")\n",
"plt.xlabel(r\"$|\\log M_1 / M_2|$\")\n",
"plt.ylabel(r\"$\\mathcal{O}$\")\n",
"plt.legend()\n",
"plt.tight_layout()\n",
"# plt.savefig(\"../plots/mass_comparison.png\", dpi=450)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "03cec1b7",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "1cde4797",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T15:19:36.573717Z",
"start_time": "2023-01-28T15:19:34.985074Z"
}
},
"outputs": [],
"source": [
"for k in trange(len(indxs)):\n",
" if np.any((dlogm[k] > 1.75) & (overlap[k] > 0.15)):\n",
" print(k)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "58b2cb87",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T15:27:57.709539Z",
"start_time": "2023-01-28T15:27:57.131915Z"
}
},
"outputs": [],
"source": [
"k = 97788\n",
"print(dlogm[k])\n",
"print(overlap[k])\n",
"n = np.argmax(overlap[k])\n",
"\n",
"index_cl0 = [cl[1] for cl in clumps0].index(cat[0][k][\"index\"])\n",
"cl0 = clumps0[index_cl0][0]\n",
"mins_cl0, maxs_cl0 = mins0[index_cl0], maxs0[index_cl0]\n",
"\n",
"index_clx = [cl[1] for cl in clumpsx].index(cat[1][\"index\"][indxs[k]][n])\n",
"clx = clumpsx[index_clx][0]\n",
"mins_clx, maxs_clx = minsx[index_clx], maxsx[index_clx]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f5193d37",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T15:28:02.049121Z",
"start_time": "2023-01-28T15:28:02.016020Z"
}
},
"outputs": [],
"source": [
"delta1, delta2, cellmins = overlapper.make_deltas(cl0, clx, mins_cl0, maxs_cl0, mins_clx, maxs_clx)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6e0176db",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T15:28:03.044781Z",
"start_time": "2023-01-28T15:28:03.010050Z"
}
},
"outputs": [],
"source": [
"overlapper.overlap(delta1, delta2, cellmins, delta)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a3993216",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T15:28:03.662552Z",
"start_time": "2023-01-28T15:28:03.630680Z"
}
},
"outputs": [],
"source": [
"delta1.sum() / delta2.sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "120b0b61",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "5170b359",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-28T15:28:05.961500Z",
"start_time": "2023-01-28T15:28:05.857277Z"
}
},
"outputs": [],
"source": [
"plt.figure()\n",
"plt.imshow(np.sum(delta1, axis=2))\n",
"plt.show()\n",
"\n",
"plt.figure()\n",
"plt.imshow(np.sum(delta2, axis=2))\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "adcca1e1",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "d74da689",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "0989f96e",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.667Z"
}
},
"outputs": [],
"source": [
"ncounter = len(indxs[k])\n",
"true_overlap = np.full(ncounter, np.nan)\n",
"spherical_overlap = np.full(ncounter, np.nan)\n",
"\n",
"for n in trange(len(indxs[k])):\n",
" clx = clumpsx[[cl[1] for cl in clumpsx].index(cat[1][\"index\"][indxs[k]][n])][0]\n",
" \n",
" R1 = (3 * cl0.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
" R2 = (3 * clx.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
" d = np.linalg.norm([np.mean(cl0[p]) - np.mean(clx[p]) for p in ('x', 'y', 'z')])\n",
" \n",
" spherical_overlap[n] = csiborgtools.match.spherical_overlap(R1, R2, d)\n",
" true_overlap[n] = overlapper(cl0, clx, delta)\n",
" \n",
"# print(true_overlap, spherical_overlap)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6007e537",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.668Z"
}
},
"outputs": [],
"source": [
"plt.figure()\n",
"plt.scatter(true_overlap, spherical_overlap)\n",
"\n",
"t = np.linspace(0, 1, 100)\n",
"plt.plot(t, t, c=\"k\", ls=\"--\")\n",
"\n",
"plt.xlabel(\"True overlap\")\n",
"plt.ylabel(\"Spherical overlap\")\n",
"# plt.xscale(\"log\")\n",
"# plt.yscale(\"log\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fd1a9591",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "2a4062f2",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.670Z"
}
},
"outputs": [],
"source": [
"R1 = (3 * cl0.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
"R2 = (3 * clx.size / (4 * np.pi))**(1./3) * 1 / 2048\n",
"d = np.linalg.norm([np.mean(cl0[p]) - np.mean(clx[p]) for p in ('x', 'y', 'z')])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d2b0dcd5",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-23T20:52:54.565480Z",
"start_time": "2023-01-23T20:52:54.534775Z"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "64634315",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "9cfcc924",
"metadata": {
"ExecuteTime": {
"end_time": "2023-01-23T19:00:54.795153Z",
"start_time": "2023-01-23T19:00:54.447475Z"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a747a632",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.686Z"
}
},
"outputs": [],
"source": [
"box = cat[0].box\n",
"maverage = box.box2solarmass(clumps0[2][0][\"M\"][0])\n",
"cell = box.box2mpc(1/2048)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "27bb5c36",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.686Z"
}
},
"outputs": [],
"source": [
"n_sim = 0\n",
"import numpy\n",
"\n",
"R = (3 * cat.cats[n_sim][\"npart\"] / (4 * numpy.pi))**(1./3) * 1 / 2048\n",
"R = cat.cats[n_sim].box.box2mpc(R)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "03a7825f",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.687Z"
}
},
"outputs": [],
"source": [
"# dlogm = [None] * len(indxs)\n",
"# for k in trange(len(indxs)):\n",
"# dlogm[k] = np.abs(np.log10(cat[0][\"totpartmass\"][k]) - np.log10(cat[1][\"totpartmass\"][indxs[k]]))\n",
"# dlogm = np.asanyarray(dlogm)\n",
"\n",
"normdist = [None] * len(indxs)\n",
"masses = [None] * len(indxs)\n",
"for k in trange(len(indxs)):\n",
" normdist[k] = dist0[k] / ((3 * cat[0][\"totpartmass\"][k] / (4 * np.pi * maverage))**(1/3) * cell)\n",
" masses[k] = np.log10(np.ones(indxs[k].size) * cat[0][\"totpartmass\"][k])\n",
" \n",
"normdist = np.asanyarray(normdist)\n",
"masses = np.asanyarray(masses)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e0330ca5",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.688Z"
},
"scrolled": false
},
"outputs": [],
"source": [
"plt.figure()\n",
"\n",
"# plt.scatter(np.concatenate(normdist), np.concatenate(overlap), c=np.concatenate(masses), s=4)\n",
"\n",
"plt.scatter(np.concatenate(normdist), np.concatenate(masses), c=np.concatenate(overlap), s=4)\n",
"\n",
"\n",
"plt.colorbar()\n",
"# plt.xlabel(r\"$z = 0$ normalised separation by $\\hat{R}$\")\n",
"# plt.xlabel(r\"Absolute difference in total mass [dex]\")\n",
"# plt.xscale(\"log\")\n",
"# plt.ylabel(r\"$\\mathcal{O}$\")\n",
"plt.xscale(\"log\")\n",
"plt.tight_layout()\n",
"# plt.savefig(\"../plots/another_view.png\", dpi=450)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "de23a8a1",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "a6b5e4f8",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "43bc17db",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "b4df25af",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "0d25a16d",
"metadata": {
"ExecuteTime": {
"start_time": "2023-01-26T09:49:07.690Z"
}
},
"outputs": [],
"source": [
"cl0 = clumps0[[cl[1] for cl in clumps0].index(cat[0][k][\"index\"])][0]\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"clx = clumpsx[[cl[1] for cl in clumpsx].index(cat[1][\"index\"][indxs[k]][n])][0]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "be26cbcc",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "venv_galomatch",
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"name": "venv_galomatch"
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"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.0"
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"vscode": {
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