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aaa14fc880
* Add RAMSES2HDF5 conversion * Upload changes * Clean up * More clean up * updates * Little change * pep9 * Add basic SPH calculation for a snapshot * Add submit script * Remove echo * Little changes * Send off changes * Little formatting * Little updates * Add nthreads argument * Upload chagnes * Add nthreads arguemnts * Some local changes.. * Update scripts * Add submission script * Update script * Update params * Rename CSiBORGBox to CSiBORG1box * Rename CSiBORG1 reader * Move files * Rename folder again * Add basic plotting here * Add new skeletons * Move def * Update nbs * Edit directories * Rename files * Add units to converted snapshots * Fix empty dataset bug * Delete file * Edits to submission scripts * Edit paths * Update .gitignore * Fix attrs * Update weighting * Fix RA/dec bug * Add FORNAX cluster * Little edit * Remove boxes since will no longer need * Move func back * Edit to include sort by membership * Edit paths * Purge basic things * Start removing * Bring file back * Scratch * Update the rest * Improve the entire file * Remove old things * Remove old * Delete old things * Fully updates * Rename file * Edit submit script * Little things * Add print statement * Add here cols_to_structured * Edit halo cat * Remove old import * Add comment * Update paths manager * Move file * Remove file * Add chains
1,009 KiB
1,009 KiB
In [1]:
import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
# Local imports
try:
import csiborgtools
except ModuleNotFoundError:
import sys
sys.path.append("../")
import csiborgtools
import utils
%load_ext autoreload
%autoreload 2
In [2]:
obs = utils.load_2mpp()
cols = ["ra", "dec", "mass_cl", "dist"]
mmains = utils.load_mmains(1)
mmains = csiborgtools.utils.list_to_ndarray(mmains, cols)
sim = mmains[0, ...]
sim = csiborgtools.utils.array_to_structured(sim ,cols)
planck = utils.load_planck2015()
In [3]:
dx = 20
dmin = 125
dmax = dmin + dx
mask_obs = (dmin < obs["CDIST_CMB"]) & (obs["CDIST_CMB"] < dmax)
mask_sim = (dmin < sim["dist"]) & (sim["dist"] < dmax) & (sim["mass_cl"] > 1e12)
width = 6.4
plt.figure(figsize=(width, width*0.75))
plt.scatter(obs["RA"][mask_obs], obs["DEC"][mask_obs], s=1.5, label="2M++")
plt.scatter(sim["ra"][mask_sim] , sim["dec"][mask_sim], s=1.5, label="CSiBORG")
plt.scatter(planck["RA"], planck["DEC"], label="Planck SZ clusters < 214 MPc", c="red")
plt.legend()
plt.xlabel("RA")
plt.ylabel("dec")
plt.tight_layout()
# plt.savefig("../plots/2mpp_overlap.png", dpi=450)
plt.show()
In [ ]: