Added more stuff to .gitignore. New toold build ksz maps

.gitignore

@@ -1,3 +1,8 @@
 *~
 *.o
 *.prog
+*.pyc
+*.png
+*.dat
+ic_*
+*.h5

python_sample/build_2lpt_skymap.py

@@ -32,8 +32,7 @@ def build_sky_proj(density, dmax=60.,dmin=0,iid=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)
-  dist2 = (ix[:,None,None]**2 + ix[None,:,None]**2 + ix[None,None,:]**2)
 
   flux = density.transpose().astype(ct.DTYPE) # / dist2
   dmax=N*dmax/L

python_sample/build_nbody_ksz.py

@@ -0,0 +1,109 @@
+import healpy as hp
+import numpy as np
+import cosmotool as ct
+import argparse
+import h5py as h5
+from matplotlib import pyplot as plt
+
+Mpc=3.08e22
+rhoc = 1.8864883524081933e-26  # m^(-3)
+sigmaT = 6.6524e-29
+mp = 1.6726e-27
+lightspeed = 299792458.
+v_unit = 1e3  # Unit of 1 km/s
+T_cmb=2.725
+h = 0.71
+Y = 0.245  #The Helium abundance
+Omega_matter = 0.26
+Omega_baryon=0.0445
+
+G=6.67e-11
+MassSun=2e30
+frac_electron = 1.0 # Hmmmm
+frac_gas_galaxy = 0.14
+mu = 1/(1-0.5*Y)
+
+baryon_fraction = Omega_baryon / Omega_matter
+
+ksz_normalization = T_cmb*sigmaT*v_unit/(lightspeed*mu*mp) * baryon_fraction
+rho_mean_matter = Omega_matter * (3*(100e3/Mpc)**2/(8*np.pi*G)) 
+
+parser=argparse.ArgumentParser(description="Generate Skymaps from CIC maps")
+parser.add_argument('--boxsize', type=float, required=True)
+parser.add_argument('--Nside', type=int, default=128)
+parser.add_argument('--base_h5', type=str, required=True)
+parser.add_argument('--base_fig', type=str, required=True)
+parser.add_argument('--start', type=int, required=True)
+parser.add_argument('--end', type=int, required=True)
+parser.add_argument('--step', type=int, required=True)
+parser.add_argument('--minval', type=float, default=-0.5)
+parser.add_argument('--maxval', type=float, default=0.5)
+parser.add_argument('--depth_min', type=float, default=10)
+parser.add_argument('--depth_max', type=float, default=60)
+parser.add_argument('--iid', type=int, default=0)
+parser.add_argument('--ksz_map', type=str, required=True)
+args = parser.parse_args()
+
+L = args.boxsize
+Nside = args.Nside
+
+def build_sky_proj(density, dmax=60.,dmin=0,iid=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
+  if iid == 0:
+    shifter = np.array([0.5,0.5,0.5])
+  else:
+    shifter = np.array([0.,0.,0.])
+    
+  projsky1 = ct.spherical_projection(Nside, flux, dmin, dmax, integrator_id=iid, shifter=shifter)
+
+  return projsky1*L/N
+
+def build_unit_vectors(N):
+  ii = np.arange(N)*L/N - 0.5*L
+  d = np.sqrt(ii[:,None,None]**2 + ii[None,:,None]**2 + ii[None,None,:]**2)
+  d[N/2,N/2,N/2] = 1
+  ux = ii[:,None,None] / d
+  uy = ii[None,:,None] / d
+  uz = ii[None,None,:] / d
+
+  return ux,uy,uz
+
+for i in xrange(args.start,args.end,args.step):
+  ff=plt.figure(1)
+  plt.clf()
+  with h5.File(args.base_h5 % i, mode="r") as f:
+    p = f['velocity'][:]
+    davg = np.average(np.average(np.average(f['density'][:],axis=0),axis=0),axis=0)
+    p /= davg # Now we have momentum scaled to the mean density
+
+  # Rescale by Omega_b / Omega_m
+  p = p.astype(np.float64)
+  print p.max(), p.min(), ksz_normalization, rho_mean_matter
+  p *= -ksz_normalization*rho_mean_matter*1e6
+  
+  ux,uy,uz = build_unit_vectors(p.shape[0])
+  pr = p[:,:,:,0] * ux + p[:,:,:,1] * uy + p[:,:,:,2] * uz 
+  print p.max(), p.min()
+  print pr.max()*Mpc, pr.min()*Mpc
+  
+  @ct.timeit_quiet
+  def run_proj():
+    return build_sky_proj(pr*Mpc, dmin=args.depth_min,dmax=args.depth_max,iid=args.iid)
+
+  run_proj()
+
+  hp.write_map(args.ksz_map % i, proj)
+
+  hp.mollview(proj, fig=1, coord='CG', cmap=plt.cm.coolwarm, title='Sample %d' % i, min=args.minval, 
+              max=args.maxval)
+
+  ff.savefig(args.base_fig % i)