def main(fname_config):
#Read configuration into classes
Config = ConfigParser.ConfigParser()
Config.read(fname_config)
out = output(Config._sections['GlobalParameters'])
Config.read('./ConfigFiles/'+Config.get('FreeFree','model')+'_config.ini')
freefree = component(Config._sections['FreeFree'],out.nside)
with open(out.output_dir+out.output_prefix+'freefree_config.ini','w') as configfile\
: Config.write(configfile)
print('Computing free-free maps.')
print '----------------------------------------------------- \n'
if out.debug == True:
print ''.join("%s: %s \n" % item for item in vars(freefree).items())
print '----------------------------------------------------- \n'
conv_I = convert_units(freefree.template_units,out.output_units,out.output_frequency)
scaled_map_ff = scale_freqs(freefree,out)*conv_I[...,np.newaxis]*freefree.em_template
scaled_map_ff_pol = np.zeros((2,np.asarray(out.output_frequency).size,hp.nside2npix(out.nside)))
if out.debug == True:
ff = np.concatenate([scaled_map_ff[np.newaxis,...],scaled_map_ff_pol])
for i in range(0,len(out.output_frequency)):
hp.write_map(out.output_dir+out.output_prefix+'ff_%d'%(out.output_frequency[i])+'_'+str(out.nside)+'.fits',ff[:,i,:],coord='G',column_units=out.output_units)
return np.concatenate([scaled_map_ff[np.newaxis,...],scaled_map_ff_pol])
def instrument_noise(fname_config):
Config = ConfigParser.ConfigParser()
Config.read(fname_config)
out = output(Config._sections['GlobalParameters'])
print('Adding instrument noise.')
print '----------------------------------------------------- \n'
npix = hp.nside2npix(out.nside)
#Convert noise to sigma per pixel.
fsky_pix = 1./npix
pix_ster = 4.*np.pi*fsky_pix
pix_amin2 = pix_ster*(180.*60./np.pi)**2 #converts size of pixel from steradians to square arcminutes
sigma_pix_I = np.sqrt(out.instrument_noise_i**2/pix_amin2)
sigma_pix_pol = np.sqrt(out.instrument_noise_pol**2/pix_amin2)
#Generate noise as gaussian with variances above:
np.random.seed(out.instrument_noise_seed)
instrument_noise = np.random.randn(3,np.asarray(out.output_frequency).size,npix)
#standard_normal*sigma+mu = N(mu,sigma)
instrument_noise[0,...]=sigma_pix_I[np.newaxis,:,np.newaxis]*instrument_noise[0,...]
instrument_noise[1,...]=sigma_pix_pol[np.newaxis,:,np.newaxis]*instrument_noise[1,...]
instrument_noise[2,...]=sigma_pix_pol[np.newaxis,:,np.newaxis]*instrument_noise[2,...]
return instrument_noise*convert_units(['u','K_CMB'],out.output_units,out.output_frequency)[np.newaxis,:,np.newaxis]
def main(fname_config):
#Read in configuration file to classes.
Config = ConfigParser.ConfigParser()
Config.read(fname_config)
out = output(Config._sections['GlobalParameters'])
Config.read('./ConfigFiles/'+Config.get('Synchrotron','model')+'_config.ini')
synch = component(Config._sections['Synchrotron'],out.nside)
with open(out.output_dir+out.output_prefix+'synchrotron_config.ini','w') as configfile: Config.write(configfile)
print('Computing synchrotron maps.')
print '----------------------------------------------------- \n'
if out.debug == True:
print ''.join("%s: %s \n" % item for item in vars(synch).items())
print '----------------------------------------------------- \n'
#The unit conversion takes care of the scaling being done in uK_RJ. After scaling we convert to whatever the output units are.
conv_I = convert_units(synch.template_units, ['u','K_RJ'], synch.freq_ref)
conv_pol = convert_units(synch.template_units, ['u','K_RJ'], synch.pol_freq_ref)
conv2 = convert_units(['u','K_RJ'],out.output_units,out.output_frequency)
unit_conversion_I = conv_I*conv2.reshape((len(out.output_frequency),1))
unit_conversion_pol = conv_pol*conv2.reshape((len(out.output_frequency),1))
#Do the scaling.
scaled_map_synch = scale_freqs(synch, out, pol=False)*synch.em_template*unit_conversion_I
scaled_map_synch_pol = scale_freqs(synch, out, pol=True)[np.newaxis,...]*np.array([synch.polq_em_template,synch.polu_em_template])[:,np.newaxis,:]*unit_conversion_pol
#This section forces P/I<0.75. This is done using the same procedure as the PSM 1.7.8 psm_synchrotron.pro.
P = np.sqrt(scaled_map_synch_pol[0,:,:]**2+scaled_map_synch_pol[1,:,:]**2)/scaled_map_synch
F = 0.75*np.tanh(P/0.75)/P
scaled_map_synch_pol[0,:,:]=F*scaled_map_synch_pol[0,:,:]
scaled_map_synch_pol[1,:,:]=F*scaled_map_synch_pol[1,:,:]
#-------
if out.debug == True:
syn = np.concatenate([scaled_map_synch[np.newaxis,...],scaled_map_synch_pol])
for i in range(0,len(out.output_frequency)):
hp.write_map(out.output_dir+out.output_prefix+'synch_%d'%(out.output_frequency[i])+'_'+str(out.nside)+'.fits',syn[:,i,:],coord='G',column_units=out.output_units)
return np.concatenate([scaled_map_synch[np.newaxis,...],scaled_map_synch_pol])
def main(fname_config):
# Read configuration into classes
Config = ConfigParser.ConfigParser()
Config_model = ConfigParser.ConfigParser()
Config.read(fname_config)
out = output(Config._sections["GlobalParameters"])
Config_model.read("./ConfigFiles/" + Config.get("ThermalDust", "model") + "_config.ini")
pops = Config_model.sections()
with open(out.output_dir + out.output_prefix + "thermaldust_config.ini", "w") as configfile:
Config_model.write(configfile)
dust_out = 0.0
for p in pops:
dust_out += scale_dust_pop(p, out, Config_model)
return dust_out
def main(fname_config):
#Read in configuration file to classes.
Config = ConfigParser.ConfigParser()
Config.read(fname_config)
out = output(Config._sections['GlobalParameters'])
Config.read('./ConfigFiles/'+Config.get('SpinningDust','model')+'_config.ini')
spdust_general = component(Config._sections['General'],out.nside)
spdust1 = component(Config._sections['SpinningDust1'],out.nside)
spdust2 = component(Config._sections['SpinningDust2'],out.nside)
print('Computing spinning dust map.')
print '----------------------------------------------------- \n'
if out.debug == True:
print ''.join("%s: %s \n" % item for item in vars(spdust1).items())
print ''.join("%s: %s \n" % item for item in vars(spdust2).items())
print '----------------------------------------------------- \n'
with open(out.output_dir+out.output_prefix+'spdust_config.ini','w') as configfile: Config.write(configfile)
#Compute a map of the polarisation angle from the commander dust map polariationn angle.
pol_angle = np.arctan2(spdust_general.thermaldust_polu,spdust_general.thermaldust_polq)
#Units to do the scaling in MJysr and then bring the result back to the output units.
conv1 = convert_units(spdust1.template_units, ['u','K_RJ'], spdust1.freq_ref)
conv2 = convert_units(spdust2.template_units, ['u','K_RJ'], spdust2.freq_ref)
conv_end = convert_units(['u','K_RJ'],out.output_units,out.output_frequency)
unit_conversion1 = conv1*conv_end.reshape((len(out.output_frequency),1))
unit_conversion2 = conv2*conv_end.reshape((len(out.output_frequency),1))
scaled_map_spdust = scale_freqs(spdust1,out,pol=False)*spdust1.em_template*unit_conversion1 + scale_freqs(spdust2,out,pol=False)*spdust2.em_template*unit_conversion2
scaled_map_spdust_pol = scaled_map_spdust[np.newaxis,...]*np.asarray([np.cos(pol_angle),np.sin(pol_angle)])[:,np.newaxis,:]*spdust_general.pol_frac
if out.debug == True:
for i in range(0,len(out.output_frequency)):
hp.write_map(out.output_dir+'spdust_%d.fits'%(out.output_frequency[i]),scaled_map_spdust[i],coord='G',column_units=out.output_units)
return np.concatenate([scaled_map_spdust[np.newaxis,...],scaled_map_spdust_pol])
import ConfigParser, os
import pysm_synchrotron,pysm_thermaldust,pysm_cmb,pysm_spinningdust, pysm_noise, pysm_freefree
from pysm import output, config2list, file_path, write_output_single
import healpy as hp
import numpy as np
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Code to simulate galactic foregrounds.')
parser.add_argument('config_file', help='Main configuration file.')
##Get the output directory and save the configuration file.
Config = ConfigParser.ConfigParser()
Config.read(parser.parse_args().config_file)
out = output(Config._sections['GlobalParameters'])
if not os.path.exists(out.output_dir): os.makedirs(out.output_dir)
with open(out.output_dir+out.output_prefix+'main_config.ini','w') as configfile: Config.write(configfile)
if out.debug == True:
##Print information about the run:
print '----------------------------------------------------- \n'
print ''.join("%s: %s \n" % item for item in vars(out).items())
print '-----------------------------------------------------'
sky = np.zeros([3,len(out.output_frequency),hp.nside2npix(out.nside)])
print '----------------------------------------------------- \n'
#Create synchrotron, dust, AME, and cmb maps at output frequencies then add noise.
if 'synchrotron' in out.components:
