99 lines
3.0 KiB
Python
99 lines
3.0 KiB
Python
import cosmotool as ct
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import numpy as np
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import cosmolopy as cpy
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from cosmogrowth import *
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import borgadaptor as ba
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def gen_posgrid(N, L):
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""" Generate an ordered lagrangian grid"""
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ix = np.arange(N)*L/N
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x = ix[:,None,None].repeat(N, axis=1).repeat(N, axis=2)
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y = ix[None,:,None].repeat(N, axis=0).repeat(N, axis=2)
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z = ix[None,None,:].repeat(N, axis=0).repeat(N, axis=1)
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return x.flatten(), y.flatten(), z.flatten()
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def bin_power(P, L, bins=20, range=(0,1.)):
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N = P.shape[0]
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ik = np.fft.fftfreq(N, d=L/N)*2*np.pi
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k = np.sqrt(ik[:,None,None]**2 + ik[None,:,None]**2 + ik[None,None,:(N/2+1)]**2)
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H,b = np.histogram(k, bins=bins, range=range)
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Hw,b = np.histogram(k, bins=bins, weights=P, range=range)
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return Hw/H, 0.5*(b[1:]+b[0:bins])
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def compute_power_from_borg(input_borg, a_borg, cosmo, bins=10, range=(0,1)):
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borg_vol = ct.read_borg_vol(input_borg)
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N = borg_vol.density.shape[0]
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cgrowth = CosmoGrowth(**cosmo)
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D1 = cgrowth.D(1)
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D1_0 = D1/cgrowth.D(a_borg)
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density_hat, L = ba.half_pixel_shift(borg_vol)
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return bin_power(D1_0**2*np.abs(density_hat)**2/L**3, L, bins=bins, range=range)
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def compute_ref_power(L, N, cosmo, bins=10, range=(0,1), func='HU_WIGGLES'):
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ik = np.fft.fftfreq(N, d=L/N)*2*np.pi
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k = np.sqrt(ik[:,None,None]**2 + ik[None,:,None]**2 + ik[None,None,:(N/2+1)]**2)
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p = ct.CosmologyPower(**cosmo)
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p.setFunction(func)
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p.normalize(cosmo['SIGMA8'])
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return bin_power(p.compute(k)*cosmo['h']**3, L, bins=bins, range=range)
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def run_generation(input_borg, a_borg, a_ic, **cosmo):
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""" Generate particles and velocities from a BORG snapshot. Returns a tuple of
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(positions,velocities,N,BoxSize,scale_factor)."""
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borg_vol = ct.read_borg_vol(input_borg)
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N = borg_vol.density.shape[0]
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cgrowth = CosmoGrowth(**cosmo)
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density_hat, L = ba.half_pixel_shift(borg_vol)
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lpt = LagrangianPerturbation(density_hat, L, fourier=True)
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# Generate grid
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posq = gen_posgrid(N, L)
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vel= []
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posx = []
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# Compute LPT scaling coefficient
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D1 = cgrowth.D(a_ic)
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D1_0 = D1/cgrowth.D(a_borg)
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velmul = cgrowth.compute_velmul(a_ic)*D1_0
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D2 = 3./7 * D1**2
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for j in xrange(3):
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# Generate psi_j (displacement along j)
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psi = D1_0*lpt.lpt1(j).flatten()*(N/L)**3
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# Generate posx
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posx.append(((posq[j] + psi)%L).astype(np.float32))
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# Generate vel
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vel.append((psi*velmul).astype(np.float32))
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density = np.fft.irfftn(density_hat*D1_0)*(N/L)**3
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return posx,vel,density,N,L,a_ic
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def write_icfiles(*generated_ic, **cosmo):
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"""Write the initial conditions from the tuple returned by run_generation"""
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posx,vel,density,N,L,a_ic = generated_ic
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ct.simpleWriteGadget("borg.gad", posx, velocities=vel, boxsize=L, Hubble=cosmo['h'], Omega_M=cosmo['omega_M_0'], time=a_ic)
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for i,c in enumerate(['x','y','z']):
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ct.writeGrafic("ic_velc%s" % c, vel[i].reshape((N,N,N)), L, a_ic, **cosmo)
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ct.writeGrafic("ic_deltab", density, L, a_ic, **cosmo)
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ct.writeWhitePhase("white.dat", density)
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