err = grid.err()
richness_err = (err['richness'][1]-err['richness'][0])/2.
results[i]['FIT_MASS_ERR'] = grid.stellar_mass_conversion*richness_err
distance_modulus_err = (err['distance_modulus'][1]-err['distance_modulus'][0])/2.
results[i]['FIT_DISTANCE_ERR'] = distance_modulus_err
"""
return results
run = runall
if __name__ == "__main__":
import ugali.utils.parser
parser = ugali.utils.parser.Parser(description=__doc__)
parser.add_config()
parser.add_argument('-p',
'--popfile',
default=None,
help='simulated population input file')
parser.add_argument('-c',
'--catfile',
default=None,
help='simulated catalog input file')
parser.add_argument('-o',
'--outfile',
default=None,
help='output results file')
parser.add_argument('-i',
'--mc-source-id',
default=None,
logger.info("Fit parameter values:")
for d in dtype:
logger.info('\t%s: %s'%(d[0], results[i][d[0]]))
if (i%self.config['simulate']['save'])==0 and outfile:
ugali.utils.fileio.write(outfile,results)
if outfile: ugali.utils.fileio.write(outfile,results,clobber=True)
return results
if __name__ == "__main__":
import ugali.utils.parser
parser = ugali.utils.parser.Parser(description=__doc__)
parser.add_config()
parser.add_argument('-p','--popfile',default=None,
help='simulated population input file')
parser.add_argument('-c','--catfile',default=None,
help='simulated catalog input file')
parser.add_argument('-o','--outfile',default=None,
help='output results file')
parser.add_argument('-i','--mc-source-id',default=None,type=int,action='append',
help='specific source id to run')
parser.add_force()
parser.add_debug()
parser.add_verbose()
args = parser.parse_args()
analyzer = Analyzer(args.config,args.catfile,args.popfile)
