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072218_fid_jk_binning_test.py
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072218_fid_jk_binning_test.py
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import sys
import argparse
parser = argparse.ArgumentParser(description='#')
parser.add_argument('--Lbox',type=float,default=250.,dest='Lbox')
parser.add_argument('--simname',default='bolplanck',dest='simname')
parser.add_argument('--version',default='halotools_v0p4',dest='version')
parser.add_argument('--redshift',type=float,default=0.,dest='redshift')
parser.add_argument('--halofinder',default='rockstar',dest='halofinder')
parser.add_argument('--Nsidejk',type=int,required=True,dest='Nsidejk')
parser.add_argument('--Nparam',type=int,required=True,dest='Nparam')
parser.add_argument('--vpfcen',required=True,dest='vpfcen')
parser.add_argument('--ptclpos',required=True,dest='ptclpos')
parser.add_argument('--wpNbin',type=int,required=True,dest='wpNbin')
parser.add_argument('--dsNbin',type=int,required=True,dest='dsNbin')
parser.add_argument('--vpfNbin',type=int,required=True,dest='vpfNbin')
parser.add_argument('--cicNbin',type=int,required=True,choices=[20,30,40],dest='cicNbin')
#parser.add_argument('--fiducial',nargs=7,required=True,type=float,dest='fiducial')
parser.add_argument('--threshold',required=True,type=float,dest='threshold')
parser.add_argument('--outfile',required=True,dest='outfile')
parser.add_argument('--parallel',type=int,default=55,dest='nproc')
args = parser.parse_args()
import collections
import gc
import numpy as np
from concurrent.futures import ProcessPoolExecutor as Pool
from datetime import datetime
print str(datetime.now())
from halotools.sim_manager import CachedHaloCatalog
from HOD_models_fix import decorated_hod_model
from halotools.empirical_models import MockFactory
from halotools.mock_observables import return_xyz_formatted_array
from helpers.CorrelationFunction import ngal_wp_ds_vpf_Pcic_jk
##########################################################
param_names = ('alpha','logM1','sigma_logM','logM0','logMmin','mean_occupation_centrals_assembias_param1','mean_occupation_satellites_assembias_param1')
output_names = ('func_all','func_all_cov','param') ##ngal(1)+wp(19)+ggl(20)+vpf(15)+Pcic(70)
##########################################################
p19p0 = np.array((1.04029, 12.80315, 0.51193, 10.25010, 11.64354, 0., 0.))
p19p5 = np.array((1.11553, 13.06008, 0.44578, 11.29134, 11.75068, 0., 0.))
p20p0 = np.array((1.14385, 13.28584, 0.34846, 11.30750, 11.97186, 0., 0.))
p20p5 = np.array((1.19652, 13.59169, 0.18536, 11.20134, 12.25470, 0., 0.))
p21p0 = np.array((1.33738, 13.98811, 0.55950, 11.95797, 12.82356, 0., 0.))
if args.threshold==-19.0:
fiducial_p = p19p0
elif args.threshold==-19.5:
fiducial_p = p19p5
elif args.threshold==-20.0:
fiducial_p = p20p0
elif args.threshold==-20.5:
fiducial_p = p20p5
elif args.threshold==-21.0:
fiducial_p = p21p0
#########################################################
Lbox = args.Lbox
pi_max = 60
r_wp = np.logspace(-1, 1.5, args.wpNbin)
##wp
r_vpf = np.logspace(0,1.,args.vpfNbin)
num_sphere = int(1e5)
vpf_centers = np.loadtxt(args.vpfcen)
##vpf
proj_search_radius = 2.0 ##a cylinder of radius 2 Mpc/h
cylinder_half_length = 10.0 ##half-length 10 Mpc/h
if args.cicNbin==40:
sum_at = np.arange(40)
elif args.cicNbin==30:
sum_at = np.array((0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,22,24,26,28,30,32,34,36,38))
elif args.cicNbin==20:
sum_at = np.array((0,1,2,3,4,5,6,7,8,9,12,15,18,21,24,27,30,33,36,39))
##cic
ptclpos = np.loadtxt(args.ptclpos)
rp_bins_ggl = np.logspace(-1, 1.5, args.dsNbin+1)
num_ptcls_to_use = len(ptclpos)
##ggl
##########################################################
def calc_all_observables(param):
model.param_dict.update(dict(zip(param_names, param))) ##update model.param_dict with pairs (param_names:params)
try:
model.mock.populate()
except:
model.populate_mock(halocat)
gc.collect()
output = []
pos_gals_d = return_xyz_formatted_array(*(model.mock.galaxy_table[ax] for ax in 'xyz'), \
velocity=model.mock.galaxy_table['vz'], velocity_distortion_dimension='z',\
period=Lbox) ##redshift space distorted
pos_gals_d = np.array(pos_gals_d,dtype=float)
pos_gals = return_xyz_formatted_array(*(model.mock.galaxy_table[ax] for ax in 'xyz'), period=Lbox)
pos_gals = np.array(pos_gals,dtype=float)
total_num_ptcls_in_snapshot = halocat.num_ptcl_per_dim**3
downsampling_factor = total_num_ptcls_in_snapshot/float(num_ptcls_to_use)
particle_masses = halocat.particle_mass*downsampling_factor
func,funccov = ngal_wp_ds_vpf_Pcic_jk(pos_gals_d, r_wp, pi_max, r_vpf, vpf_centers, proj_search_radius, cylinder_half_length, pos_gals, ptclpos, particle_masses, rp_bins_ggl, Lbox, args.Nsidejk, sum_at)
output.append(func)
output.append(funccov)
# parameter set
output.append(param)
return output
############################################################
def main(model_gen_func, fiducial, output_fname):
global model
model = model_gen_func()
params = np.array(fiducial)*np.ones((args.Nparam,7))
output_dict = collections.defaultdict(list)
nproc = args.nproc
global halocat
with Pool(nproc) as pool:
if 1:
halocat = CachedHaloCatalog(simname = args.simname, version_name = args.version,redshift = args.redshift, \
halo_finder = args.halofinder)
model.populate_mock(halocat)
for i, output_data in enumerate(pool.map(calc_all_observables, params)):
if 1:
print i
print str(datetime.now())
for name, data in zip(output_names, output_data):
output_dict[name].append(data)
for name in output_names:
output_dict[name] = np.array(output_dict[name])
np.savez(output_fname, **output_dict)
if __name__ == '__main__':
main(decorated_hod_model, fiducial_p, args.outfile)
with open(args.outfile+'_log','w') as f:
f.write(sys.argv[0]+'\n')
for arg in vars(args):
f.write(str(arg)+':'+str(getattr(args, arg))+'\n')