139 lines
3.6 KiB
Python
139 lines
3.6 KiB
Python
import healpy as hp
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import numpy as np
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import cosmotool as ct
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import argparse
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import h5py as h5
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from matplotlib import pyplot as plt
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import ksz
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from ksz.constants import *
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from cosmotool import interp3d
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def wrapper_impulsion(f):
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class _Wrapper(object):
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def __init__(self):
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pass
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def __getitem__(self,direction):
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if 'velocity' in f:
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return f['velocity'][:,:,:,direction]
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n = "p%d" % direction
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return f[n]
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return _Wrapper()
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parser=argparse.ArgumentParser(description="Generate Skymaps from CIC maps")
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parser.add_argument('--boxsize', type=float, required=True)
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parser.add_argument('--Nside', type=int, default=128)
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parser.add_argument('--base_h5', type=str, required=True)
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parser.add_argument('--base_fig', type=str, required=True)
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parser.add_argument('--start', type=int, required=True)
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parser.add_argument('--end', type=int, required=True)
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parser.add_argument('--step', type=int, required=True)
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parser.add_argument('--minval', type=float, default=-0.5)
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parser.add_argument('--maxval', type=float, default=0.5)
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parser.add_argument('--depth_min', type=float, default=10)
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parser.add_argument('--depth_max', type=float, default=60)
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parser.add_argument('--iid', type=int, default=0)
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parser.add_argument('--ksz_map', type=str, required=True)
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args = parser.parse_args()
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L = args.boxsize
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Nside = args.Nside
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def build_unit_vectors(N):
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ii = np.arange(N)*L/N - 0.5*L
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d = np.sqrt(ii[:,None,None]**2 + ii[None,:,None]**2 + ii[None,None,:]**2)
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d[N/2,N/2,N/2] = 1
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ux = ii[:,None,None] / d
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uy = ii[None,:,None] / d
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uz = ii[None,None,:] / d
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return ux,uy,uz
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def build_radial_v(v):
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u = build_unit_vectors(N)
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vr = v[0] * u[0]
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vr += v[1] * u[1]
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vr += v[2] * u[2]
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return vr
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def generate_from_catalog(vfield,Boxsize):
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import progressbar as pbar
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cat = np.load("2m++.npy")
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profiler = KSZ_Isothermal(2.37)
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cat['distance'] = cat['best_velcmb']
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cat = cat[np.where((cat['distance']>100*dmin)*(cat['distance']<dmax*100))]
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deg2rad = np.pi/180
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xp,yp,zp = hp.pix2vec(Nside, np.arange(Npix))
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N2 = np.sqrt(xp**2+yp**2+zp**2)
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ksz_template = np.zeros(12*Nside**2, dtype=np.float64)
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ksz_mask = np.zeros(12**Nside**2, dtype=np.uint8)
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pb = pbar.ProgressBar(maxval = cat.size, widgets=[pb.Bar(), pb.ETA()]).start()
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for k,i in np.ndenumerate(cat):
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pb.update(k)
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l,b=i['gal_long'],i['gal_lat']
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l *= deg2rad
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b *= deg2rad
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x0 = np.cos(l)*np.cos(b)
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y0 = np.sin(l)*np.cos(b)
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z0 = np.sin(b)
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DA =i['distance']/100
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Lgal = DA**2*10**(0.4*(tmpp_cat['Msun']-i['K2MRS']+25))
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idx0 = hp.query_disc(Nside, (x0,y0,z0), 3*rGalaxy/DA)
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vr = interp3d(DA * x0, DA * y0, DA * z0, vfield, Boxsize)
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xp1 = xp[idx0]
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yp1 = yp[idx0]
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zp1 = zp[idx0]
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N2_1 = N2[idx0]
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cos_theta = x0*xp1+y0*yp1+z0*zp1
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cos_theta /= np.sqrt(x0**2+y0**2+z0**2)*(N2_1)
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idx,idx_masked,m = profiler.projected_profile(cos_theta, DA)
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idx = idx0[idx]
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idx_masked = idx0[idx_masked]
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ksz_template[idx] += vr * m
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ksz_mask[idx_masked] = 0
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pb.finish()
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return ksz_template, ksz_mask
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for i in xrange(args.start,args.end,args.step):
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ff=plt.figure(1)
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plt.clf()
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v=[]
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with h5.File(args.base_h5 % i, mode="r") as f:
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p = wrapper_impulsion(f)
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v.append(p[i] / f['density'][:])
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# Rescale by Omega_b / Omega_m
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vr = build_radial_v(v)
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vr *= -ksz_normalization*rho_mean_matter*1e6
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del v
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proj = generate_from_catalog(vfield,Boxsize)
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hp.write_map(args.ksz_map % i, proj)
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hp.mollview(proj, fig=1, coord='CG', cmap=plt.cm.coolwarm, title='Sample %d' % i, min=args.minval,
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max=args.maxval)
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ff.savefig(args.base_fig % i)
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