43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import numpy as np
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import cosmotool as ct
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import icgen as bic
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import icgen.cosmogrowth as cg
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import sys
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import argparse
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cosmo={'omega_M_0':0.3175, 'h':0.6711}
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cosmo['omega_lambda_0']=1-cosmo['omega_M_0']
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cosmo['omega_k_0'] = 0
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cosmo['omega_B_0']=0.049
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cosmo['SIGMA8']=0.8344
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cosmo['ns']=0.9624
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N0=256
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doSimulation=True
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astart=1.
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parser=argparse.ArgumentParser(description="Generate CIC density from 2LPT")
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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('--base', type=str, required=True)
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parser.add_argument('--N', type=int, default=256)
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parser.add_argument('--output', type=str, default="dcic_%d.npy")
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parser.add_argument('--supersample', type=int, default=1)
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args = parser.parse_args()
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for i in xrange(args.start, args.end, args.step):
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print i
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# pos,_,density,N,L,_ = bic.run_generation("/nethome/lavaux/remote/borg_2m++_128/initial_density_%d.dat" % i, 0.001, astart, cosmo, supersample=2, do_lpt2=True)
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pos,_,density,N,L,_,_ = bic.run_generation("%s/initial_density_%d.dat" % (args.base,i), 0.001, astart,
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cosmo, supersample=args.supersample, do_lpt2=True, needvel=False)
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dcic = ct.cicParticles(pos, L, args.N)
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dcic /= np.average(np.average(np.average(dcic, axis=0), axis=0), axis=0)
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dcic -= 1
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np.save(args.output % i, dcic)
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