def brown_fct(t_act_hphb, **kwargs):
'''
This was made to check the fct around brown98 area.
'''
sup_phot = kwargs['sup_phot']
btrack = kwargs.get('btrack')
mag1_cut = kwargs.get('mag1_cut')
mag2_cut = kwargs.get('mag2_cut')
frac_bulge = sup_phot['bulge_fraction'][1] # Bulge fraction B/(B+D)
# file locations
file_src = '/astro/net/angst2/philrose/PHAT/paper/supporting_files/'
if not os.path.isdir(file_src):
file_src = '/Users/phil/research/PHAT//paper/supporting_files/'
b98region = os.path.join(file_src, 'brown98_region_masked.reg')
b98fits = os.path.join(file_src, 'phat_photcat_b98region.fits')
# load b98 photometry file
b98_phat = pyfits.open(b98fits)[1].data
b98_ra = b98_phat.field('ra')
b98_dec = b98_phat.field('dec')
b98_mag1 = b98_phat.field('mag1_uvis')
b98_mag2 = b98_phat.field('mag2_uvis')
b98_color = b98_mag1 - b98_mag2
# load b98 region
ras, decs = file_io.read_reg(b98region, shape='polygon')
foc_fov = np.column_stack((ras[0], decs[0]))
# b98 called uv-brights stars 1 mag brighter than completeness limit
b98_mag1_cut = mag1_cut - 1.
b98_mag2_cut = mag2_cut - 1.
inds1 = np.nonzero(b98_mag1 < b98_mag1_cut)[0]
inds2 = np.nonzero(b98_mag2 < b98_mag2_cut)[0]
b98_cut = list(set(inds1) & set(inds2))
# load the hphb color-mag limits
verts = get_hphb_cmd_verts(btrack, **kwargs)
# which b98 stars are in the hphb color-mag limit
points = np.column_stack((b98_color[b98_cut], b98_mag2[b98_cut]))
#points = np.column_stack((b98_color,b98_mag2))
inds = np.nonzero(nxutils.points_inside_poly(points, verts))[0]
nhphb_foc = float(len(inds))
rif_36_foc = 0.527
L_T = rif_36_foc * 1.61e8 * frac_bulge #230893.52211437
Bt = 2.2e-11 # From Spectral Evolution of Galaxies ASSL 122 p195+
t_hphb = nhphb_foc / (Bt * L_T)
# hard coded expected lifetimes.
# median time_spent_on_cmd for the three largest mass tracks
#t_act_hphb = 2e6#1e7 # 10694600 # 994000.0
print 'Brown Check:'
print 'NHPHB expected:', L_T * Bt * t_act_hphb
print 'percent msto that become x as a function of radius:'
print 'HPHB', t_hphb / t_act_hphb * 100
print 'nhbhbs', len(inds)
return
def area_within_regs(reg_name, closed=False):
'''
if closed = false, I'll append the first x,y to the list.
'''
tot_areas = np.array([])
ras, decs = file_io.read_reg(reg_name, shape='polygon')
for ra, dec in zip(ras, decs):
ra.append(ra[0])
dec.append(dec[0])
verts = np.column_stack((ra, dec))
tot_areas = np.append(tot_areas, GenUtils.area(verts))
return tot_areas
def points_inside_ds9_polygon(reg_name, ra_points, dec_points):
'''
uses read_reg
'''
try:
file_io
except NameError:
import file_io
radec = np.column_stack((ra_points, dec_points))
ras, decs = file_io.read_reg(reg_name, shape='polygon')
verts = [np.column_stack((ras[i], decs[i])) for i in range(len(ras))]
masks = [nxutils.points_inside_poly(radec, vert) for vert in verts]
inds = [
np.nonzero(masks[i] - masks[i + 1])[0] for i in range(len(masks) - 1)
]
return inds
def main(**kwargs):
ast_file = kwargs.get('ast_file')
ast = load_ast_file(ast_file)
from params import PHAT_DIR_EXTRA3
contour = PHAT_DIR_EXTRA3 + 'contours_v3.reg'
cras, cdecs = file_io.read_reg(contour)
outverts = np.column_stack((cras[-1], cdecs[-1]))
rec1 = recovered_asts(ast['mag1in'], ast['mag1out'])
rec2 = recovered_asts(ast['mag2in'], ast['mag2out'])
# quality cut on all asts
qc1 = quality_cut(ast['sharp1'], ast['snr1'], ast['crowd1'], ast['round1'],
**kwargs)
qc2 = quality_cut(ast['sharp2'], ast['snr2'], ast['crowd2'], ast['round2'],
**kwargs)
qcd = list(set(qc1) & set(qc2))
inds = points_inside_ds9_polygon(contour, ast['ra'], ast['dec'])
comp_corr_file = open(kwargs.get('comp_file'), 'w')
comp_corr_file.write('# region (0=in) mags comp_frac \n')
comp_data_file = open(kwargs.get('comp_data'), 'w')
print 'comp correction file:', kwargs.get('comp_file')
print 'comp data file:', comp_data_file
single = kwargs.get('single')
kwargs['ast_file_ext'] = '_' + kwargs.get('comp_file').replace(
'.dat', '').split('_')[-1]
if single == False:
qc1 = qcd
qc2 = qcd
kwargs['ast_file_ext'] += '_dd'
color_range = (-0.7, 0.5)
ast_color = ast['mag1in'] - ast['mag2in']
color_inds = np.nonzero((ast_color > color_range[0])
& (ast_color < color_range[1]))[0]
Rinds1s, Rinds2s, Bins, Frac1s, Frac2s = [], [], [], [], []
Rhist1s, Rhist2s, Qhist1s, Qhist2s = [], [], [], []
comp_data_file.write(
'# Region comp50mag1 comp50mag2 comp90mag1 comp90mag2\n')
print '# Region comp50mag1 comp50mag2 comp90mag1 comp90mag2'
for i in range(len(inds)):
# in each annulus, passed qc, recovered
if single == False:
Rinds1 = list(
set(rec1) & set(qc1) & set(inds[i]) & set(color_inds))
Rinds2 = list(
set(rec2) & set(qc2) & set(inds[i]) & set(color_inds))
# REWRITING INDS OF I FOR THIS COLOR RANGE.
inds[i] = list(set(inds[i]) & set(color_inds))
else:
Rinds1 = list(set(rec1) & set(qc1) & set(inds[i]))
Rinds2 = list(set(rec2) & set(qc2) & set(inds[i]))
hist_range = (18.34, 28.)
# use hist_bin_optimization to get this value
#spacing = 0.04
spacing = 0.2
Rhist1, Rbins1 = np.histogram(ast['mag1in'][Rinds1],
bins=np.arange(hist_range[0],
hist_range[1], spacing))
Rhist2, Rbins2 = np.histogram(ast['mag2in'][Rinds2],
bins=np.arange(hist_range[0],
hist_range[1], spacing))
Qhist1, Qbins1 = np.histogram(ast['mag1in'][inds[i]],
bins=np.arange(hist_range[0],
hist_range[1], spacing))
Qhist2, Qbins2 = np.histogram(ast['mag2in'][inds[i]],
bins=np.arange(hist_range[0],
hist_range[1], spacing))
# need to be float...
frac1 = np.array(map(float, Qhist1)) / np.array(map(float, Rhist1))
frac2 = np.array(map(float, Qhist2)) / np.array(map(float, Rhist2))
c_lim1 = GenUtils.closest_match(0.5, 1 / frac1)
c_lim2 = GenUtils.closest_match(0.5, 1 / frac2)
c_lim1a = GenUtils.closest_match(0.90, 1 / frac1)
c_lim2a = GenUtils.closest_match(0.90, 1 / frac2)
if i == 0:
inmag1 = c_lim1
inmag2 = c_lim2
[comp_corr_file.write('%.2f ' % bin) for bin in Rbins1]
comp_corr_file.write('\n')
else:
print 1. / frac1[inmag1], 1. / frac2[inmag2]
comp_data_file.write(
'# inner mag limit corresponds to 50 percent completeness \n# 275: %.3f \n# 336: %.3f \n'
% (1. / frac1[inmag1], 1. / frac2[inmag2]))
comp_corr_file.write('F336W %i ' % i)
[comp_corr_file.write('%.8f ' % frac) for frac in frac1]
comp_corr_file.write('\nF275W %i ' % i)
[comp_corr_file.write('%.8f ' % frac) for frac in frac2]
comp_corr_file.write('\n')
# for Table1 need comp50,98 index 0 to be inner ring.
comp50mag1 = Rbins1[c_lim1]
comp50mag2 = Rbins1[c_lim2]
comp92mag1 = Rbins1[c_lim1a]
comp92mag2 = Rbins1[c_lim2a]
comp_data_file.write(
'%i %.1f %.1f %.1f %.1f\n' %
(i, comp50mag1, comp50mag2, comp92mag1, comp92mag2))
print '%i %.1f %.1f %.1f %.1f' % (i, comp50mag1, comp50mag2,
comp92mag1, comp92mag2)
Rinds1s.append(Rinds1)
Rinds2s.append(Rinds2)
Bins.append(Rbins1)
Frac1s.append(frac1)
Frac2s.append(frac2)
Rhist1s.append(Rhist1)
Rhist2s.append(Rhist2)
Qhist1s.append(Qhist1)
Qhist2s.append(Qhist2)
ax1, ax2 = ast_completeness_plot(Bins, Frac1s, Frac2s, **kwargs)
ast_diff_plot(ast, Rinds1s, Rinds2s, inds, **kwargs)
ast_hist_plot(Bins, Rhist1s, Qhist1s, Rhist2s, Qhist2s, **kwargs)
comp_corr_file.close()
comp_data_file.close()