Fixed transpotion and the sign

This commit is contained in:
Guilhem Lavaux 2014-06-04 13:57:17 +02:00
parent 7258dd20cb
commit ae040d15ee
3 changed files with 39 additions and 16 deletions

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@ -13,7 +13,7 @@ def gen_posgrid(N, L):
y = ix[None,:,None].repeat(N, axis=0).repeat(N, axis=2) y = ix[None,:,None].repeat(N, axis=0).repeat(N, axis=2)
z = ix[None,None,:].repeat(N, axis=0).repeat(N, axis=1) z = ix[None,None,:].repeat(N, axis=0).repeat(N, axis=1)
return x.flatten(), y.flatten(), z.flatten() return x.reshape((x.size,)), y.reshape((y.size,)), z.reshape((z.size,))
def bin_power(P, L, bins=20, range=(0,1.)): def bin_power(P, L, bins=20, range=(0,1.)):
@ -73,15 +73,17 @@ def run_generation(input_borg, a_borg, a_ic, cosmo, supersample=1, do_lpt2=True,
D1_0 = D1/cgrowth.D(a_borg) D1_0 = D1/cgrowth.D(a_borg)
velmul = cgrowth.compute_velmul(a_ic) velmul = cgrowth.compute_velmul(a_ic)
D2 = -3./7 * D1_0**2 D2 = 3./7 * D1_0**2
for j in xrange(3): for j in xrange(3):
# Generate psi_j (displacement along j) # Generate psi_j (displacement along j)
print("LPT1 axis=%d" % j) print("LPT1 axis=%d" % j)
psi = D1_0*lpt.lpt1(j).flatten() psi = D1_0*lpt.lpt1(j)
psi = psi.reshape((psi.size,))
if do_lpt2: if do_lpt2:
print("LPT2 axis=%d" % j) print("LPT2 axis=%d" % j)
psi += D2 * lpt.lpt2(j).flatten() psi2 = lpt.lpt2(j)
psi += D2 * psi2.reshape((psi2.size,))
# Generate posx # Generate posx
posx.append(((posq[j] + psi)%L).astype(np.float32)) posx.append(((posq[j] + psi)%L).astype(np.float32))
# Generate vel # Generate vel
@ -99,7 +101,9 @@ def write_icfiles(*generated_ic, **cosmo):
ct.simpleWriteGadget("borg.gad", posx, velocities=vel, boxsize=L, Hubble=cosmo['h'], Omega_M=cosmo['omega_M_0'], time=a_ic) ct.simpleWriteGadget("borg.gad", posx, velocities=vel, boxsize=L, Hubble=cosmo['h'], Omega_M=cosmo['omega_M_0'], time=a_ic)
for i,c in enumerate(["x","y","z"]): for i,c in enumerate(["x","y","z"]):
ct.writeGrafic("ic_velc%s" % c, vel[i].reshape((N,N,N)).transpose(), L, a_ic, **cosmo) ct.writeGrafic("ic_velc%s" % c, vel[i].reshape((N,N,N)), L, a_ic, **cosmo)
# This used to be necessary. However this has been fixed in writeGrafic now
# ct.writeGrafic("ic_velc%s" % c, vel[i].reshape((N,N,N)).transpose(), L, a_ic, **cosmo)
ct.writeGrafic("ic_deltab", density, L, a_ic, **cosmo) ct.writeGrafic("ic_deltab", density, L, a_ic, **cosmo)
ct.writeWhitePhase("white.dat", density) ct.writeWhitePhase("white.dat", density)

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@ -7,6 +7,7 @@ cosmo['omega_lambda_0']=1-cosmo['omega_M_0']
cosmo['omega_k_0'] = 0 cosmo['omega_k_0'] = 0
cosmo['omega_B_0']=0.049 cosmo['omega_B_0']=0.049
cosmo['SIGMA8']=0.8344 cosmo['SIGMA8']=0.8344
cosmo['ns']=0.9624
zstart=50 zstart=50
astart=1/(1.+zstart) astart=1/(1.+zstart)

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@ -1,6 +1,7 @@
import numpy as np import numpy as np
import cosmotool as ct import cosmotool as ct
import borgicgen as bic import borgicgen as bic
import cosmogrowth as cg
import sys import sys
cosmo={'omega_M_0':0.3175, 'h':0.6711} cosmo={'omega_M_0':0.3175, 'h':0.6711}
@ -8,12 +9,25 @@ cosmo['omega_lambda_0']=1-cosmo['omega_M_0']
cosmo['omega_k_0'] = 0 cosmo['omega_k_0'] = 0
cosmo['omega_B_0']=0.049 cosmo['omega_B_0']=0.049
cosmo['SIGMA8']=0.8344 cosmo['SIGMA8']=0.8344
N0=128 cosmo['ns']=0.9624
N0=256
doSimulation=True
snap_id=int(sys.argv[1]) snap_id=int(sys.argv[1])
astart=1/100.
s = ct.loadRamsesAll("/nethome/lavaux/remote2/borgsim/", snap_id, doublePrecision=True) if doSimulation:
astart=s.getTime() s = ct.loadRamsesAll("/nethome/lavaux/remote2/borgsim/", snap_id, doublePrecision=True)
astart=s.getTime()
L = s.getBoxsize()
dsim = ct.cicParticles(s.getPositions(), L, N0)
dsim /= np.average(np.average(np.average(dsim, axis=0), axis=0), axis=0)
dsim -= 1
dsim_hat = np.fft.rfftn(dsim)*(L/N0)**3
Psim, bsim = bic.bin_power(np.abs(dsim_hat)**2/L**3, L, range=(0,1.), bins=150)
pos,_,density,N,L,_ = bic.run_generation("initial_condition_borg.dat", 0.001, astart, cosmo, supersample=2, do_lpt2=True) pos,_,density,N,L,_ = bic.run_generation("initial_condition_borg.dat", 0.001, astart, cosmo, supersample=2, do_lpt2=True)
@ -21,16 +35,20 @@ dcic = ct.cicParticles(pos, L, N0)
dcic /= np.average(np.average(np.average(dcic, axis=0), axis=0), axis=0) dcic /= np.average(np.average(np.average(dcic, axis=0), axis=0), axis=0)
dcic -= 1 dcic -= 1
dsim = ct.cicParticles(s.getPositions(), L, N0) dcic_hat = np.fft.rfftn(dcic)*(L/N0)**3
dsim /= np.average(np.average(np.average(dsim, axis=0), axis=0), axis=0) dens_hat = np.fft.rfftn(density)*(L/N0)**3
dsim -= 1
dcic_hat = np.fft.rfftn(dcic)*(L/N)**3
dsim_hat = np.fft.rfftn(dsim)*(L/N)**3
Pcic, bcic = bic.bin_power(np.abs(dcic_hat)**2/L**3, L, range=(0,1.), bins=150) Pcic, bcic = bic.bin_power(np.abs(dcic_hat)**2/L**3, L, range=(0,1.), bins=150)
Psim, bsim = bic.bin_power(np.abs(dsim_hat)**2/L**3, L, range=(0,1.), bins=150) Pdens, bdens = bic.bin_power(np.abs(dens_hat)**2/L**3, L, range=(0,1.), bins=150)
cgrowth = cg.CosmoGrowth(**cosmo)
D1 = cgrowth.D(astart)
D1_0 = D1/cgrowth.D(1)#0.001)
Pref, bref = bic.compute_ref_power(L, N0, cosmo, range=(0,1.), bins=150)
Pcic /= D1_0**2
Pdens /= D1_0**2
borg_evolved = ct.read_borg_vol("final_density_1380.dat") borg_evolved = ct.read_borg_vol("final_density_1380.dat")