-
Notifications
You must be signed in to change notification settings - Fork 0
/
selection_tests.py
188 lines (158 loc) · 8.37 KB
/
selection_tests.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
import os
import numpy as np
import sfh_tests
import ResolvedStellarPops as rsp
from TPAGBparams import snap_src
import galaxy_tests
def ms_color_cut():
comp90 = sfh_tests.read_completeness_table(absmag=True)
tri_dir = os.environ['TRILEGAL_ROOT']
# make these simulations by editing a constant sf trilegal file
# using tab_sfr/ as a source of templates.
sgals = [rsp.Galaxies.simgalaxy(tri_dir + 'const_sfr_out_z06.dat',
filter1='F606W', filter2='F814W'),
rsp.Galaxies.simgalaxy(tri_dir + 'const_sfr_out_z0006.dat',
filter1='F606W', filter2='F814W')]
dline = {}
for band in ['opt', 'ir']:
if band == 'opt':
filter2 = 'F814W'
else:
filter2 = 'F160W'
for sgal in sgals:
sgal.all_stages()
if not sgal.name in dline.keys():
dline[sgal.name] = {}
# only consider MS stars that are brighter than the faintest
# 90% complteness mag in the sample
iblue, = np.nonzero(sgal.data.get_col(filter2) <
np.max(comp90['%s_filter2' % band]))
ims = list(set(iblue) & set(sgal.ims))
ibheb = list(set(iblue) & set(sgal.ibheb))
ims = list(np.concatenate([ims, ibheb]))
if len(ims) == 0:
# could be an issue that no MS stars are around...
print 'warning', filter2, 'no MS found.'
continue
if band == 'opt':
dline[sgal.name]['F606W'] = np.max(sgal.data.get_col('F606W')[ims])
dline[sgal.name]['F814W'] = np.max(sgal.data.get_col('F814W')[ims])
dline[sgal.name]['F475W'] = np.max(sgal.data.get_col('F475W')[ims])
else:
dline[sgal.name]['F110W'] = np.max(sgal.data.get_col('F110W')[ims])
dline[sgal.name]['F160W'] = np.max(sgal.data.get_col('F160W')[ims])
return dline
def color_cut_per_galaxy(table='default'):
ms_dict = ms_color_cut()
comp90 = sfh_tests.read_completeness_table(table=table, absmag=True)
comp90_uncert = sfh_tests.read_completeness_table(table=table, uncertainties=True)
#if table == 'default':
# table = snap_src + '/tables/completeness_0.90.dat'
#table = table.replace('.dat', '_colorcuts.dat')
photsys = 'wfc3snap'
#fmt = '%(target)s %(opt_colorcut).3f %(ir_colorcut).3f \n'
for sgalname, dline in ms_dict.items():
print sgalname
for i, target in enumerate(comp90['target']):
for band in ['opt', 'ir']:
if band == 'opt':
filter1 = sfh_tests.get_filter1(target.lower())
filter2 = 'F814W'
else:
filter1 = 'F110W'
filter2 = 'F160W'
m2m = {'target': target, 'filter2': filter2, 'filter1': filter1}
if not filter1 in dline.keys():
continue
Mag1 = dline[filter1]
Mag2 = dline[filter2]
mag1 = rsp.astronomy_utils.Mag2mag(Mag1, filter1, photsys, **m2m)
mag2 = rsp.astronomy_utils.Mag2mag(Mag2, filter2, photsys, **m2m)
color = mag1 - mag2
color_uncert = comp90_uncert[i]['%s_color' % band]
print target, filter1, filter2, '%.2f' % (color+color_uncert)
def find_contamination_by_phases(output_files=None):
if output_files is None:
output_files = [ snap_src + '/models/varysfh/ddo71/caf09_s_nov13/mc/output_ddo71_caf09_s_nov13.dat',
#snap_src + '/models/varysfh/ddo78/caf09_s_nov13/mc/output_ddo78_caf09_s_nov13.dat',
snap_src + '/models/varysfh/hs117/caf09_s_nov13/mc/output_hs117_caf09_s_nov13.dat',
#snap_src + '/models/varysfh/kdg73/caf09_s_nov13/mc/output_kdg73_caf09_s_nov13.dat',
snap_src + '/models/varysfh/kkh37/caf09_s_nov13/mc/output_kkh37_caf09_s_nov13.dat']#,
#snap_src + '/models/varysfh/ngc2976-deep/caf09_s_nov13/mc/output_ngc2976-deep_caf09_s_nov13.dat',
#snap_src + '/models/varysfh/ngc404/caf09_s_nov13/mc/output_ngc404_caf09_s_nov13.dat']
for output_file in output_files:
target = output_file.split('output_')[1].split('_')[0]
print target
filter1 = sfh_tests.get_filter1(target)
ds = sfh_tests.Diagnostics(VarySFH_kw={'target': target})
ds.mc = False
sgal = rsp.Galaxies.simgalaxy(output_file, filter1=filter1,
filter2='F814W')
sgal.target = target
sopt_rgb, sopt_agb, sir_rgb, sir_agb = \
ds.do_normalization(filter1=filter1, trilegal_output=output_file,
hist_it_up=False, dry_run=True)
ds.contamination_by_phases(sopt_rgb, sopt_agb, sir_rgb, sir_agb)
return
def completeness_table_absmag(table='default'):
'''
convert the completeness table mags to abs mag.
outfile = [table]_absmag.dat
'''
comp90 = sfh_tests.read_completeness_table(table)
if table == 'default':
table = snap_src + '/tables/completeness_0.90.dat'
table = table.replace('.dat', '_absmag.dat')
photsys = 'wfc3snap'
fmt = '%(target)s %(opt_filter1).3f %(opt_filter2).3f %(ir_filter1).3f %(ir_filter2).3f \n'
with open(table, 'w') as out:
for i, target in enumerate(comp90['target']):
dline = {'target': target}
for band in ['opt', 'ir']:
if band == 'opt':
filter1 = sfh_tests.get_filter1(target.lower())
filter2 = 'F814W'
else:
filter1 = 'F110W'
filter2 = 'F160W'
m2m = {'target': target, 'filter2': filter2, 'filter1': filter1}
compf1 = comp90[i]['%s_filter1' % band]
dline['%s_filter1' % band] = rsp.astronomy_utils.mag2Mag(compf1, filter1, photsys, **m2m)
compf2 = comp90[i]['%s_filter2' % band]
dline['%s_filter2' % band] = rsp.astronomy_utils.mag2Mag(compf2, filter2, photsys, **m2m)
out.write(fmt % dline)
print 'wrote %s' % table
def uncertainties_at_completeness(table='default', binwidth=0.1):
'''
write a table with the median uncertainties around the completeness value
from the completeness table.
'''
comp90 = sfh_tests.read_completeness_table(table)
if table == 'default':
table = snap_src + '/tables/completeness_0.90.dat'
table = table.replace('.dat', '_uncertainties.dat')
opt_fits_src = snap_src + '/data/angst_no_trim'
fmt = '%(target)s %(opt_filter1).3f %(opt_filter2).3f %(opt_color).3f %(ir_filter1).3f %(ir_filter2).3f %(ir_color).3f \n'
title = '# ' + fmt.replace('%','').replace(')', '').replace('.3f','').replace('s','').replace('(','')
with open(table, 'w') as out:
out.write('# median uncertainty within +/-%.2f of completeness mag\n' % (binwidth/2))
out.write(title)
for i, target in enumerate(comp90['target']):
ir_gal = galaxy_tests.load_galaxy(target, band='ir')
opt_gal = galaxy_tests.load_galaxy(target, band='opt',
fits_src=opt_fits_src)
dline = {'target': target}
for band, gal in zip(['opt', 'ir'], [opt_gal, ir_gal]):
key = '%s_filter1' % band
uncerts1, = np.nonzero((gal.mag1 < comp90[i][key] + binwidth/2) &
(gal.mag1 > comp90[i][key] - binwidth/2))
med_unct1 = np.median(gal.data.MAG1_ERR[uncerts1])
dline[key] = med_unct1
key = '%s_filter2' % band
uncerts2, = np.nonzero((gal.mag2 < comp90[i][key] + binwidth/2) &
(gal.mag2 > comp90[i][key] - binwidth/2))
med_unct2 = np.median(gal.data.MAG2_ERR[uncerts2])
dline[key] = med_unct2
med_color_unct = np.sqrt(med_unct1 ** 2 + med_unct2 ** 2)
dline['%s_color' % band] = med_color_unct
out.write(fmt % dline)