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randoms.py
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randoms.py
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import os
import sys
import time
import numpy as np
import argparse
from cosmo import cosmo, volcom
from scipy.interpolate import interp1d
from astropy.table import Table
from cartesian import cartesian, rotate
from runtime import calc_runtime
from desi_randoms import desi_randoms
from findfile import fetch_fields, findfile, overwrite_check, call_signature
from gama_limits import gama_limits, gama_field
from ddp_zlimits import ddp_zlimits
from config import Configuration
from params import oversample_nrealisations
def randoms(field='G9', survey='gama', density=1., zmin=ddp_zlimits['DDP1'][0], zmax=ddp_zlimits['DDP1'][1], dryrun=False, prefix='', seed=None, oversample=2, realz=0):
start = time.time()
fields = fetch_fields(survey)
assert field in fields, f'Provided {field} field is not compatible with those available for {survey} survey ({fields})'
opath = findfile(ftype='randoms', dryrun=dryrun, field=field, survey=survey, prefix=prefix, realz=realz, oversample=oversample)
if args.nooverwrite:
overwrite_check(opath)
if seed == None:
seed = seed + realz + 50 * oversample
np.random.seed(seed)
call_signature(dryrun, sys.argv)
print('Solving for redshift limits: {} < z < {}.'.format(zmin, zmax))
## ras and decs.
if survey == 'gama':
Area = 60.
ra_min = gama_limits[field]['ra_min']
ra_max = gama_limits[field]['ra_max']
dec_min = gama_limits[field]['dec_min']
dec_max = gama_limits[field]['dec_max']
ctheta_min = np.cos(np.pi/2. - np.radians(dec_min))
ctheta_max = np.cos(np.pi/2 - np.radians(dec_max))
vol = volcom(zmax, Area) - volcom(zmin, Area)
nrand = int(np.ceil(vol * density * oversample))
cos_theta = np.random.uniform(ctheta_min, ctheta_max, nrand)
theta = np.arccos(cos_theta)
decs = np.pi/2. - theta
decs = np.degrees(decs)
ras = np.random.uniform(ra_min, ra_max, nrand)
randoms = Table(np.c_[ras, decs], names=['RANDOM_RA', 'RANDOM_DEC'])
nrand = len(randoms)
if dryrun:
# Dryrun: 2x2 sq. patch of sky.
# G12
delta_deg = 0.5
isin = (randoms['RANDOM_RA'] > 180. - delta_deg) & (randoms['RANDOM_RA'] < 180. + delta_deg)
isin &= (randoms['RANDOM_DEC'] > 0. - delta_deg) & (randoms['RANDOM_DEC'] < 0. + delta_deg)
allin = isin
# G9
isin = (randoms['RANDOM_RA'] > 135. - delta_deg) & (randoms['RANDOM_RA'] < 135. + delta_deg)
isin &= (randoms['RANDOM_DEC'] > 0. - delta_deg) & (randoms['RANDOM_DEC'] < 0. + delta_deg)
allin |= isin
# G15
isin = (randoms['RANDOM_RA'] > 217. - delta_deg) & (randoms['RANDOM_RA'] < 217. + delta_deg)
isin &= (randoms['RANDOM_DEC'] > 0.0 - delta_deg) & (randoms['RANDOM_DEC'] < 0.0 + delta_deg)
allin |= isin
randoms = randoms[allin]
nrand = len(randoms)
elif survey == 'desi':
if 'NERSC_HOST' in os.environ.keys():
# Support to run on nersc only.
randoms = desi_randoms(int(field[1:]), oversample=oversample, dryrun=dryrun)
nrand = randoms.meta['NRAND']
Area = randoms.meta['AREA']
elif 'ddp1' in prefix:
rpath = findfile(ftype='randoms', dryrun=dryrun, field=field, survey=survey, prefix=None, realz=realz, oversample=oversample)
randoms = Table.read(rpath)
nrand = randoms.meta['NRAND']
Area = randoms.meta['AREA']
else:
print(f'As you are not running on nersc, the output of this script is assumed to be present at {opath} for dryrun: {dryrun}.')
return 0
else:
raise NotImplementedError(f'No implementation for survey: {survey}')
## Vs and zs.
dz = 1.e-4
Vmin = volcom(zmin, Area)
Vmax = volcom(zmax, Area)
vol = Vmax - Vmin
density = nrand / vol
rand_dir = os.path.dirname(opath)
if not os.path.isdir(rand_dir):
print('Creating {}'.format(rand_dir))
os.makedirs(rand_dir)
print('Volume [1e6]: {:.2f}; oversample: {:.2f}; density: {:.2e}; nrand [1e6]: {:.2f}'.format(vol/1.e6, oversample, density, nrand / 1.e6))
zs = np.arange(0.0, zmax+dz, dz)
Vs = volcom(zs, Area)
# https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.interp1d.html
Vz = interp1d(Vs, zs, kind='linear', copy=True, bounds_error=True, fill_value=np.NaN, assume_sorted=False)
Vdraws = np.random.uniform(0., 1., nrand)
Vdraws = Vmin + Vdraws * (Vmax - Vmin)
zs = Vz(Vdraws)
print('Solved {:d} for field {}'.format(nrand, field))
ras = randoms['RANDOM_RA']
decs = randoms['RANDOM_DEC']
randoms['Z'] = zs
randoms['V'] = Vdraws
randoms['RANDID'] = np.arange(len(randoms))
randoms['FIELD'] = field
# TODO/HACK/RESTORE
randoms['GAMA_FIELD'] = gama_field(ras, decs)
print('Applying rotation.')
xyz = cartesian(ras, decs, zs)
randoms['CARTESIAN_X'] = xyz[:,0]
randoms['CARTESIAN_Y'] = xyz[:,1]
randoms['CARTESIAN_Z'] = xyz[:,2]
xyz = rotate(randoms['RANDOM_RA'], randoms['RANDOM_DEC'], xyz)
randoms['ROTCARTESIAN_X'] = xyz[:,0]
randoms['ROTCARTESIAN_Y'] = xyz[:,1]
randoms['ROTCARTESIAN_Z'] = xyz[:,2]
'''
elif survey == 'desi':
randoms['IS_BOUNDARY'][randoms['ROS_DIST'] > np.percentile(randoms['ROS_DIST'], 100. - boundary_percent)] = 1
randoms['IS_BOUNDARY'][randoms['ROS_DIST'] < np.percentile(randoms['ROS_DIST'], boundary_percent)] = 1
'''
randoms['ZSURV'] = randoms['Z']
randoms['CONSERVATIVE'] = np.zeros_like(randoms['FIELD'], dtype=int)
if 'IN_D8LUMFN' not in randoms.dtype.names:
randoms['IN_D8LUMFN'] = np.zeros_like(randoms['FIELD'], dtype=int)
updates = {'ZMIN': zmin,\
'ZMAX': zmax,\
'DZ': dz,\
'NRAND': nrand,\
'FIELD': field,\
'AREA': Area,\
'VOL': vol,\
'RAND_DENS': density,\
'VOL8': (4./3.)*np.pi*(8.**3.),\
'OVERSAMPLE': oversample,\
'SEED': seed,\
'PREFIX': prefix,\
'REALZ': realz,\
'FPATH': opath}
randoms.meta.update(updates)
randoms.meta['NRAND8'] = randoms.meta['VOL8'] * randoms.meta['RAND_DENS']
randoms.meta['NRAND8_PERR'] = np.sqrt(randoms.meta['NRAND8'])
for key in randoms.meta.keys():
print(key, randoms.meta[key])
runtime = calc_runtime(start, 'Writing {}'.format(opath), xx=randoms)
randoms.write(opath, format='fits', overwrite=True)
runtime = calc_runtime(start, 'Finished'.format(opath))
return 0
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Select GAMA field.')
parser.add_argument('--log', help='Create a log file of stdout.', action='store_true')
parser.add_argument('-f', '--field', type=str, help='select GAMA field [G9, G12, G15] or DESI rosette [R1...]', default='G9')
parser.add_argument('-d', '--dryrun', help='Dryrun.', action='store_true')
parser.add_argument('-s', '--survey', help='Survey, e.g. GAMA, DESI, etc.', type=str, default='gama')
parser.add_argument('--realz', help='Realization', default=0, type=int)
parser.add_argument('--prefix', help='filename prefix', default='randoms')
parser.add_argument('--config', help='Path to configuration file', type=str, default=findfile('config'))
parser.add_argument('--nooverwrite', help='Do not overwrite outputs if on disk', action='store_true')
parser.add_argument('--density', help='Random density per (Mpc/h)^3', default=1., type=float)
parser.add_argument('--oversample', help='Oversampling factor for fillfactor counting.', default=2, type=int)
parser.add_argument('--seed', help='Random seed.', default=0, type=int)
# Defaults to GAMA Gold limits.
parser.add_argument('--zmin', type=float, help='Minimum redshift limit', default=ddp_zlimits['DDP1'][0])
parser.add_argument('--zmax', type=float, help='Maximum redshift limit', default=ddp_zlimits['DDP1'][1])
args = parser.parse_args()
log = args.log
field = args.field.upper()
dryrun = args.dryrun
survey = args.survey.lower()
zmin = args.zmin
zmax = args.zmax
prefix = args.prefix
realz = args.realz
seed = args.seed
density = args.density
oversample = args.oversample
assert oversample < 9, f'Oversample of {oversample} is not supported.'
assert realz < oversample_nrealisations, f'Provided realization number is inconsistent with that expected in params; consult there and bin/rand_pipeline scripts.'
if log:
logfile = findfile(ftype='randoms', dryrun=False, field=field, survey=survey, prefix=prefix, realz=realz, log=True)
print(f'Logging to {logfile}')
sys.stdout = open(logfile, 'w')
'''
config = Configuration(args.config)
config.update_attributes('randoms', args)
config.write()
'''
for xx in [1, oversample]:
seed = seed
# only generate independent realizations for oversample.
if oversample > 1:
seed += realz
seed += 50 * oversample
randoms(field=field, survey=survey, density=density, zmin=zmin, zmax=zmax, dryrun=dryrun, prefix=prefix, seed=seed, oversample=xx, realz=realz)
if log:
sys.stdout.close()