csiborgtools/notebooks/flow/flow_bulk.ipynb
Richard Stiskalek 8d49aa071b
More LOS (#137)
* Switch to CB2

* Update for extrapolation

* Add 'nan' extrapolation

* Update nb

* Update submits

* Add Rmax to the models

* Update nb

* Add print statement

* Update script settings

* Update flow model to new method

* Update printing

* Update path

* Update so that it works

* Update nb

* Update submit

* Add Rmin for hollow bulk flows

* Update script

* Update script

* Update scripts back

* Update scripts back

* Fix normalization bug

* Update script

* pep8
2024-07-25 11:48:37 +01:00

523 KiB

In [2]:
import numpy as np
import healpy as hp
%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 [110]:
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()
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In [119]:
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()
No description has been provided for this image
In [ ]:
fpath = "/mnt/zfsusers/rstiskalek/csiborgtools/data/HFI_PCCS_SZ-union_R2.08.fits"
obs = csiborgtools.io.read_planck2015(fpath, cosmo, 214)


c1 = SkyCoord(ra=obs["RA"]*u.degree, dec=obs["DEC"]*u.degree, distance=obs["COMDIST"]*u.Mpc)
c2 = SkyCoord(ra=sim["ra"]*u.degree, dec=sim["dec"]*u.degree, distance=sim["dist"]*u.Mpc)

sep, indxs = csiborgtools.match.brute_spatial_separation(c1, c2, N=100, angular=False, verbose=True, )
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