cosmotool/python_sample/build_nbody_skymap.py

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import healpy as hp
import numpy as np
import cosmotool as ct
import h5py as h5
from matplotlib import pyplot as plt
L=600.
Nside=128
INDATA="/nethome/lavaux/Copy/PlusSimulation/BORG/Input_Data/2m++.npy"
tmpp = np.load(INDATA)
def build_sky_proj(density, dmax=60.,dmin=0):
N = density.shape[0]
ix = (np.arange(N)-0.5)*L/N - 0.5 * L
dist2 = (ix[:,None,None]**2 + ix[None,:,None]**2 + ix[None,None,:]**2)
flux = density.transpose().astype(ct.DTYPE) # / dist2
dmax=N*dmax/L
dmin=N*dmin/L
projsky1 = ct.spherical_projection(Nside, flux, dmin, dmax, integrator_id=1)
# projsky0 = ct.spherical_projection(Nside, flux, 0, 52, integrator_id=0)
return projsky1*L/N#,projsky0
l,b = tmpp['gal_long'],tmpp['gal_lat']
l = np.radians(l)
b = np.pi/2 - np.radians(b)
dcmb = tmpp['velcmb']/100.
idx = np.where((dcmb>10)*(dcmb<60))
plt.figure(1)
plt.clf()
if True:
with h5.File("fields.h5", mode="r") as f:
d = f["density"][:].transpose()
d /= np.average(np.average(np.average(d,axis=0),axis=0),axis=0)
proj = build_sky_proj(d, dmin=10,dmax=60.)
proj0 = proj1 = proj
else:
d = np.load("icgen/dcic0.npy")
proj0 = build_sky_proj(1+d, dmin=10,dmax=60.)
d = np.load("icgen/dcic1.npy")
proj1 = build_sky_proj(1+d, dmin=10,dmax=60.)
hp.mollview(proj0, fig=1, coord='CG', max=60, cmap=plt.cm.coolwarm)
hp.projscatter(b[idx], l[idx], lw=0, color='g', s=5.0, alpha=0.8)
plt.figure(2)
plt.clf()
hp.mollview(proj1, fig=2, coord='CG', max=60, cmap=plt.cm.coolwarm)
hp.projscatter(b[idx], l[idx], lw=0, color='g', s=5.0, alpha=0.8)