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mk_saga_summary.py
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mk_saga_summary.py
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#! /usr/bin/python
##################################################
# COMPILE SPECTRA FROM ALL SOURCES FOR ALL FLAG 0 HOSTS
# 1. SDSS
# 2. GAMA
# 3. MMT, AAT, IMACS, WIYN
#
#
#
##################################################
import numpy as np
import os
import re
from astropy.io import ascii
from astropy import table
from astropy.table import Table
from tabulate import tabulate
import pyspherematch as sm
from FileLoader import GoogleSheets
SAGA_DIR = os.environ['SAGA_DIR']
REMOVELIST = GoogleSheets('1Y3nO7VyU4jDiBPawCs8wJQt2s_PIAKRj-HSrmcWeQZo', 1379081675, header_start=1)
############################################################################
def mk_saga_summary():
# READ SPECTRA
file = SAGA_DIR +'/data/saga_spectra_dirty.fits.gz'
allspec = Table.read(file)
# FIND UNIQUE SAGANAMES AND ORDER BY NSATS
msk = allspec['HOST_SAGA_NAME'] != ''
sagaspec = allspec[msk]
sorted_hosts = sort_saga_hosts(sagaspec)
# FOR EACH HOST CALCULATE STUFF
data = []
# headers = ['SAGA Name', 'NSAID','RA','Dec','Nsats','MK','N_obj','gri (r<21)','gri (r< 20.5)','ML_{0.01,r< 21}','ML_{0.1,r< 21}']
headers = ['Name', 'NSAID','RA','Dec','Nsats','N_corr','MK','N_obj','gri (r< 20.75)','ML_0.1']
for host in sorted_hosts:
print host[1], host[0]
msk1 = sagaspec['HOST_SAGA_NAME'] == host[1]
msk2 = sagaspec['ZQUALITY'] >= 3
msk3 = sagaspec['SATS'] != 3 # remove host
msk = msk1 & msk2 & msk3
spec = sagaspec[msk]
nsaid = sagaspec['HOST_NSAID'][msk][0]
dist = sagaspec['HOST_DIST'][msk][0]
# READ BASE CATALOG
basefile = os.path.join(SAGA_DIR, 'base_catalogs','base_sql_nsa{0}.fits.gz'.format(nsaid))
basetable = Table.read(basefile)
b_err1 = basetable['r_err'] < 10
# b_err2 = basetable['r'] > 18
b_rerr = b_err1 #& b_err2 # this cut only below 18mag
b_rmv = basetable['REMOVE'] == -1
b_rvir = basetable['RHOST_KPC'] <= 300
b_fib = basetable['FIBERMAG_R'] <= 23
b_gal = basetable['PHOT_SG'] == 'GALAXY'
b_r21 = basetable['r'] - basetable['EXTINCTION_R'] <= 20.75
b_r205 = basetable['r'] - basetable['EXTINCTION_R'] <= 20.75
nobj_all = np.sum(b_rmv) # all objects
nobj_rvir = np.sum(b_rmv & b_rvir & b_gal & b_fib)
nobj_gal = np.sum(b_rmv & b_rvir & b_gal &b_r21 & b_fib)
print nobj_all, nobj_rvir, nobj_gal
gri21 = gri_completeness(basetable[b_rmv & b_rerr &b_rvir & b_gal & b_r21 & b_fib],sagaspec[msk])
ML0001 = ML_completeness(basetable[b_rmv & b_rerr & b_rvir & b_gal & b_r21 & b_fib], sagaspec[msk], 0.0001)
ML001 = ML_completeness(basetable[b_rmv & b_rerr & b_rvir & b_gal & b_r21 & b_fib], sagaspec[msk], 0.001)
ML01 = ML_completeness(basetable[b_rmv & b_rerr & b_rvir & b_gal & b_r21 & b_fib], sagaspec[msk], 0.01)
ML1 = ML_completeness(basetable[b_rmv & b_rerr & b_rvir & b_gal & b_r21 & b_fib], sagaspec[msk], 0.1)
# ALSO DETERMINE NUMBER OF SATELLITE PASSING CRITERIA
b_sats = basetable['SATS'] ==1
nsats_corrected = b_sats & b_rmv & b_rerr & b_rvir & b_gal & b_r21
ncorr = np.sum(nsats_corrected)
row = []
row.append(host[1])
row.append(str(nsaid))
row.append(sagaspec['HOST_RA'][msk][0])
row.append(sagaspec['HOST_DEC'][msk][0])
row.append(str(host[0]))
row.append(ncorr)
dmod =5*np.log10(sagaspec['HOST_DIST'][0]*1e6) - 5.
mk = sagaspec['HOST_MK'][msk][0]
row.append(str('{:.1f}'.format(mk)))
row.append(str('{:.1f}'.format(mk)))
row.append(str(nobj_gal))
row.append(gri21)
# row.append(ML001)
row.append(ML01)
data.append(row)
# WRITE OUT TABLE
print tabulate(data, headers, tablefmt="rst")
f = open('data_ML.tex', 'wb')
f.write(tex_table_header())
f.write('\n')
f.write(tabulate(data, headers, tablefmt="latex"))
f.write('\n')
f.write(tex_table_footer())
def gri_completeness(base, spec):
gmag = base['g'] - base['EXTINCTION_G']
rmag = base['r'] - base['EXTINCTION_R']
imag = base['i'] - base['EXTINCTION_I']
gr = gmag - rmag
ri = rmag - imag
grerr = np.sqrt(base['g_err']**2 + base['r_err']**2)
rierr = np.sqrt(base['r_err']**2 + base['i_err']**2)
cgmr = gr - 2.*grerr
crmi = ri - 2.*rierr
msk1 = cgmr < 0.85
msk2 = crmi < 0.55
grimsk = msk1&msk2
ngri = np.sum(msk1&msk2)
id1,id2,d = sm.spherematch(base['RA'][grimsk], base['DEC'][grimsk],spec['RA'], spec['DEC'],1./3600,nnearest=1)
ngri_spec = np.size(d)
p = 100.*ngri_spec/ngri
compl = '{:02.0f}% ({}/{})'.format(p,ngri_spec,ngri)
return compl
def ML_completeness(base, spec, prob):
ML_msk = base['PROBABILITY_CLASS1'] > prob
nML = np.sum(ML_msk)
id1,id2,d = sm.spherematch(base['RA'][ML_msk], base['DEC'][ML_msk],spec['RA'], spec['DEC'],1./3600,nnearest=1)
nML_spec = np.size(d)
p=0
if (nML != 0): p = 100.*nML_spec/nML
compl = '{:02.0f}% ({}/{})'.format(p,nML_spec,nML)
return compl
def sort_saga_hosts(sagaspec):
"""
Find unique named SAGA hosts in allspec.
Sort names by nsats
"""
# FIND UNIQUE SAGA NAMES and CALCULATE NSATS
unique_hosts = []
nsats = []
for s in sagaspec:
if s['HOST_SAGA_NAME'] not in unique_hosts:
unique_hosts.append(s['HOST_SAGA_NAME'])
# CALCULATE NSATS FOR GIVEN HOST
msk1 = sagaspec['HOST_SAGA_NAME'] == s['HOST_SAGA_NAME']
msk2 = sagaspec['SATS'] == 1
msk3 = sagaspec['REMOVE'] == -1
msk = msk1 & msk2 & msk3
n = np.sum(msk)
nsats.append([n,s['HOST_SAGA_NAME']])
# print s['HOST_SAGA_NAME'],sagaspec['RA'][msk],sagaspec['DEC'][msk]
sorted_hosts = sorted(nsats,reverse=True)
return sorted_hosts
###############################################
def tex_table_header():
table_header = """
\documentclass[8pt]{article}
\usepackage{natbib}
\usepackage{fancyhdr}
\usepackage{graphics}
\pagestyle{fancy}
\setlength{\ textwidth}{8.5in}
\setlength{\ textheight}{8.30in}
\setlength{\ topmargin}{20pt}
\setlength{\oddsidemargin}{-1in}
\setlength{\hoffset}{0pt}
\setlength{\ voffset}{10pt}
\ begin{document}
\ begin{center}
\ begin{table}
"""
table_header = re.sub(' ', '', table_header).strip()
# table_header = re.sub('\s+', ' ', table_header).strip()
return table_header
def tex_table_footer():
table_foot = """
\end{table}
\end{center}
\end{document}
"""
table_foot = re.sub(' ', '', table_foot).strip()
return table_foot
if __name__ == '__main__':
create_saga_spectra()