]
make_rejection(comp, g_stats, 'position', repeated_inds)
##If just one combo positionally possible, do a single combo check
elif len(accepted_matches) == 1:
single_match_test(src_all, comp, accepted_matches, accepted_inds,
g_stats, len(matches), repeated_cats, matches)
##If more than one combination is positionally possible:
else:
##Check for a dominant source. The combination must be the only one with high position prob,
##all others with low positional proability, and must dominate spectrally
num_cat = len(set([cat for cat in src_all.cats if cat != '-100000.0']))
dom_source = mkl.spec_pos_agree(jstats, chi_reds, accepted_probs,
num_cat)
src_g = mkl.get_srcg(accepted_matches[0])
##If it finds a dominant source, accept it - counts as a spectral match
if dom_source != 'none':
jstat_resids, params, bses, chi_resids = mkl.calculate_resids(
[accepted_matches[dom_source]])
if chi_resids[0] <= 2:
make_entry(accepted_matches[dom_source], params[0][0],
params[0][1], bses[0][0], bses[0][1], g_stats,
'spectral', 0, chi_resids[0], 'dominant')
else:
make_entry(accepted_matches[dom_source], params[0][0],
params[0][1], bses[0][0], bses[0][1], g_stats,
'spectral', 1, chi_resids[0], 'dominant')
make_accept(comp, g_stats, 'spectral', accepted_inds)
##If nothing dominates, send to check if a combined source works
def make_plots(comp, i):
##Get the information into nice usable forms, and get rid of empty/pointless
##entries
chunks = comp.split('START_COMP')
all_info = chunks[0].split('\n')
##FOR SOME REASON CAN'T DO BOTH OF THESE LINES IN THE SAME FOR LOOP?!?!?!
for entry in all_info:
if entry == '': del all_info[all_info.index(entry)]
for entry in all_info:
if 'START' in entry: del all_info[all_info.index(entry)]
matches = chunks[1].split('\n')
del matches[0], matches[-2:]
##Put the information for every source in the matched group in one source_group() class
##(see apply_criteria_lib for source_group())
src_all = mkl.get_allinfo(all_info)
#print src_all.names[0]
##This line applies positional criteria, and tells us if a simple one catalogue repeat source, returning
##how many combinations are possible and statistics on them
repeated_cats, accepted_matches, accepted_inds, accepted_probs, jstats, chi_reds, g_stats = mkl.matches_retained(
src_all, matches)
match_crit = "%d of %d \ncombinations \npossible \n%s repeated cats" % (
len(accepted_matches), len(matches), repeated_cats)
##If no combinations are possible, reject all info (goes into the eyeball document)
if len(accepted_matches) == 0:
i = plot_accept_type(comp, accepted_inds,
match_crit, 'Positionally\nimpossible', 'N/A',
len(matches), plot_reject, src_all, 'position', i)
##If just one combo positionally possible, do a single combo check
elif len(accepted_matches) == 1:
i = single_match_test(src_all, comp, accepted_matches, accepted_inds,
g_stats, len(matches), repeated_cats, matches, i)
##(Any plotting gets done within single_match_test)
##If more than one combination is positionally possible:
else:
##Check for a dominant source. The combination must be the only one with high position prob,
##all others with low positional proability, and must dominate spectrally
num_cat = len(set([cat for cat in src_all.cats if cat != '-100000.0']))
dom_source = mkl.spec_pos_agree(jstats, chi_reds, accepted_probs,
num_cat)
src_g = mkl.get_srcg(accepted_matches[0])
##If it finds a dominant source, accept it - counts as a spectral match
if dom_source != 'none':
jstat_resids, params, bses, chi_resids = mkl.calculate_resids(
[accepted_matches[dom_source]])
##Find the probs of all the matches, and use the prob of the dom match to see what number match was accepted
all_probs = [float(match.split()[-1]) for match in matches]
accepted_prob = accepted_probs[dom_source]
dom_num = all_probs.index(accepted_prob)
i = plot_accept_type(comp, accepted_inds, match_crit,
'Dom source (%d)' % (dom_num + 1),
'Accept dom.\nsource', len(matches),
plot_accept, src_all, 'spectral', i)
##If nothing dominates, send to check if a combined source works
else:
comb_crit, comb_source, comb_jstat, comb_chi_red = mkl.combine_flux(
src_all, src_g, accepted_inds, 'plot=no', len(matches))
##See whether combined or split
if 'split' in comb_crit:
accept_type = 'split'
else:
accept_type = 'combine'
##Plot the combine or split, based on whether accepted or retained to investigate
if 'Accepted' in comb_crit:
i = plot_accept_type(comp, accepted_inds,
match_crit, 'No dom. source', comb_crit,
len(matches), plot_accept, src_all,
accept_type, i)
else:
i = plot_accept_type(comp, accepted_inds,
match_crit, 'No dom. source', comb_crit,
len(matches), plot_eyeball, src_all,
accept_type, i)
return i
def make_plots(comp, i):
##Get the information into nice usable forms, and get rid of empty/pointless
##entries
chunks = comp.split("START_COMP")
all_info = chunks[0].split("\n")
##FOR SOME REASON CAN'T DO BOTH OF THESE LINES IN THE SAME FOR LOOP?!?!?!
for entry in all_info:
if entry == "":
del all_info[all_info.index(entry)]
for entry in all_info:
if "START" in entry:
del all_info[all_info.index(entry)]
matches = chunks[1].split("\n")
del matches[0], matches[-2:]
##Put the information for every source in the matched group in one source_group() class
##(see apply_criteria_lib for source_group())
src_all = mkl.get_allinfo(all_info)
# print src_all.names[0]
##This line applies positional criteria, and tells us if a simple one catalogue repeat source, returning
##how many combinations are possible and statistics on them
repeated_cats, accepted_matches, accepted_inds, accepted_probs, jstats, chi_reds, g_stats = mkl.matches_retained(
src_all, matches
)
match_crit = "%d of %d \ncombinations \npossible \n%s repeated cats" % (
len(accepted_matches),
len(matches),
repeated_cats,
)
##If no combinations are possible, reject all info (goes into the eyeball document)
if len(accepted_matches) == 0:
i = plot_accept_type(
comp,
accepted_inds,
match_crit,
"Positionally\nimpossible",
"N/A",
len(matches),
plot_reject,
src_all,
"position",
i,
)
##If just one combo positionally possible, do a single combo check
elif len(accepted_matches) == 1:
i = single_match_test(
src_all, comp, accepted_matches, accepted_inds, g_stats, len(matches), repeated_cats, matches, i
)
##(Any plotting gets done within single_match_test)
##If more than one combination is positionally possible:
else:
##Check for a dominant source. The combination must be the only one with high position prob,
##all others with low positional proability, and must dominate spectrally
num_cat = len(set([cat for cat in src_all.cats if cat != "-100000.0"]))
dom_source = mkl.spec_pos_agree(jstats, chi_reds, accepted_probs, num_cat)
src_g = mkl.get_srcg(accepted_matches[0])
##If it finds a dominant source, accept it - counts as a spectral match
if dom_source != "none":
jstat_resids, params, bses, chi_resids = mkl.calculate_resids([accepted_matches[dom_source]])
##Find the probs of all the matches, and use the prob of the dom match to see what number match was accepted
all_probs = [float(match.split()[-1]) for match in matches]
accepted_prob = accepted_probs[dom_source]
dom_num = all_probs.index(accepted_prob)
i = plot_accept_type(
comp,
accepted_inds,
match_crit,
"Dom source (%d)" % (dom_num + 1),
"Accept dom.\nsource",
len(matches),
plot_accept,
src_all,
"spectral",
i,
)
##If nothing dominates, send to check if a combined source works
else:
comb_crit, comb_source, comb_jstat, comb_chi_red = mkl.combine_flux(
src_all, src_g, accepted_inds, "plot=no", len(matches)
)
##See whether combined or split
if "split" in comb_crit:
accept_type = "split"
else:
accept_type = "combine"
##Plot the combine or split, based on whether accepted or retained to investigate
if "Accepted" in comb_crit:
i = plot_accept_type(
comp,
accepted_inds,
match_crit,
"No dom. source",
comb_crit,
len(matches),
plot_accept,
src_all,
accept_type,
i,
)
else:
i = plot_accept_type(
comp,
accepted_inds,
match_crit,
"No dom. source",
comb_crit,
len(matches),
plot_eyeball,
src_all,
accept_type,
i,
)
return i
cats = src_all.cats repeated_inds = [i for i in xrange(len(cats)) if cats.count(cats[i])>1] make_rejection(comp,g_stats,'position',repeated_inds) ##If just one combo positionally possible, do a single combo check elif len(accepted_matches)==1: single_match_test(src_all,comp,accepted_matches,accepted_inds,g_stats,len(matches),repeated_cats,matches) ##If more than one combination is positionally possible: else: ##Check for a dominant source. The combination must be the only one with high position prob, ##all others with low positional proability, and must dominate spectrally num_cat = len(set([cat for cat in src_all.cats if cat!='-100000.0'])) dom_source = mkl.spec_pos_agree(jstats,chi_reds,accepted_probs,num_cat) src_g = mkl.get_srcg(accepted_matches[0]) ##If it finds a dominant source, accept it - counts as a spectral match if dom_source!='none': jstat_resids,params,bses,chi_resids = mkl.calculate_resids([accepted_matches[dom_source]]) if chi_resids[0]<=2: make_entry(accepted_matches[dom_source],params[0][0],params[0][1],bses[0][0],bses[0][1],g_stats,'spectral',0,chi_resids[0]) else: make_entry(accepted_matches[dom_source],params[0][0],params[0][1],bses[0][0],bses[0][1],g_stats,'spectral',1,chi_resids[0]) make_accept(comp,g_stats,'spectral',accepted_inds) ##If nothing dominates, send to check if a combined source works else: comb_crit, comb_source, comb_jstat, comb_chi_red = mkl.combine_flux(src_all,src_g,accepted_inds,'plot=no',len(matches)) if 'Accepted' in comb_crit: ##If source was combined, add one new source with combine in the g_stat
