def all_energy_table(pwnlist):
data = yaml.load(open(expandvars('$pwncode/data/pwncat2_phase_lande.yaml')))
table = OrderedDefaultDict(list)
psr_name='PSR'
phase_name='Phase'
optimal_emin_name='Optimal Emin' if confluence else r'Optimal $E_\text{min}$'
optimal_radius_name='Optimal radius'
for pwn in pwnlist:
print pwn
table[psr_name].append(format.pwn(pwn))
phase=PhaseRange(data[pwn]['phase'])
optimal_emin=data[pwn]['optimal_emin']
optimal_radius=data[pwn]['optimal_radius']
table[phase_name].append(phase.pretty_format())
table[optimal_emin_name].append('%.2f' % optimal_emin)
table[optimal_radius_name].append('%.2f' % optimal_radius)
print yaml.dump(table)
if confluence:
write_confluence(table, filebase='phase_range')
else:
write_latex(table, filebase='phase_range')
def cutoff_table(pwnlist):
table = OrderedDefaultDict(list)
psr_name='PSR'
ts_var_name = r'$\ts_\text{var}$' if not confluence else 'TS_var'
t='gtlike'
for pwn in pwnlist:
print pwn
table[psr_name].append(format.pwn(pwn))
var = expandvars(join(ts_var_folder,pwn,'results_%s.yaml' % pwn))
if exists(var):
v = yaml.load(open(var))
ts_var = v['TS_var'][t]
table[ts_var_name].append(format.value(ts_var, precision=1))
else:
table[ts_var_name].append(r'None')
filebase='variability'
if confluence:
write_confluence(table,filebase=filebase)
else:
write_latex(table,filebase=filebase)
def cutoff_table(pwnlist):
table = OrderedDefaultDict(list)
psr_name = "PSR"
flux_name = r"$F_{0.1-316}$" if not confluence else "F_(0.1-316)"
eflux_name = r"$G_{0.1-316}$" if not confluence else "G_(0.1-316)"
index_name = r"$\Gamma$" if not confluence else "Gamma"
cutoff_name = r"$E_\text{cutoff}$" if not confluence else "E_cutoff"
ts_point_name = r"$\ts_\text{point}$" if not confluence else "TS_point"
ts_cutoff_name = r"$\ts_\text{cutoff}$" if not confluence else "TS_cutoff"
for pwn in pwnlist:
results = get_results(pwn)
if results is None:
continue
if not results.has_key("point") or not results["point"].has_key("gtlike"):
continue
ts = results["point"]["gtlike"]["TS"]
if ts < 25:
continue
table[psr_name].append(format.pwn(pwn))
cutoff = results["point"]["gtlike"]["test_cutoff"]
if cutoff != -1:
ts_point = results["point"]["gtlike"]["TS"]
table[ts_point_name].append(format.value(ts_point, precision=1))
ts_cutoff = max(cutoff["TS_cutoff"], 0)
table[ts_cutoff_name].append(format.value(ts_cutoff, precision=1))
nodata = "" if confluence else r"\nodata"
if ts_cutoff >= 16:
flux = cutoff["flux_1"]["flux"]
flux_err = cutoff["flux_1"]["flux_err"]
eflux = cutoff["flux_1"]["eflux"]
eflux_err = cutoff["flux_1"]["eflux_err"]
index = -1 * cutoff["model_1"]["Index1"]
index_err = cutoff["model_1"]["Index1_err"]
cutoff_energy = cutoff["model_1"]["Cutoff"]
cutoff_energy_err = cutoff["model_1"]["Cutoff_err"]
table[flux_name].append(format.error(flux / 1e-9, flux_err / 1e-9))
table[eflux_name].append(format.error(eflux / 1e-12, eflux_err / 1e-12))
table[index_name].append(format.error(index, index_err))
table[cutoff_name].append(format.error(cutoff_energy / 1000, cutoff_energy_err / 1000))
else:
table[flux_name].append(format.nodata)
table[eflux_name].append(format.nodata)
table[index_name].append(format.nodata)
table[cutoff_name].append(format.nodata)
else:
table[flux_name].append("None")
table[eflux_name].append("None")
table[index_name].append("None")
table[cutoff_name].append("None")
table[ts_cutoff_name].append("None")
filebase = "cutoff_test"
if confluence:
write_confluence(
table,
filebase=filebase,
units={flux_name: r"(10^-9 erg cm^-2 s^-1)", eflux_name: r"(10^-12 erg cm^-2 s^-1)", cutoff_name: r"(GeV)"},
)
else:
write_latex(
table,
filebase=filebase,
preamble=r"\tabletypesize{\scriptsize}",
units={
flux_name: r"($10^{-9}$\ erg\,cm$^{-2}$\,s$^{-1}$)",
eflux_name: r"($10^{-12}$\ erg\,cm$^{-2}$\,s$^{-1}$)",
cutoff_name: r"(GeV)",
},
)
def all_energy_table(pwnlist):
table = OrderedDefaultDict(list)
psr_name='PSR'
flux_name=r'$F_{0.1-316}$' if not confluence else 'F_(0.1-316)'
energy_flux_name=r'$G_{0.1-316}$' if not confluence else 'G_(0.1-316)'
ts_name=r'\ts' if not confluence else 'TS'
gamma_name=r'$\Gamma$' if not confluence else 'Gamma'
luminosity_name = r'Luminosity'
nodata = '' if confluence else r'\nodata'
for pwn in pwnlist:
table[psr_name].append(format.pwn(pwn))
results = get_results(pwn)
if results is None:
table[ts_name].append('None')
table[flux_name].append('None')
table[gamma_name].append('None')
table[luminosity_name].append(r'None')
else:
b = BestHypothesis(results)
gtlike = b.gtlike
pointlike = b.pointlike
type = b.type
ts=max(gtlike['TS'],0)
table[ts_name].append(format.value(ts, precision=1))
if type == 'point' or type == 'extended':
flux=gtlike['flux']['flux']
flux_err=gtlike['flux']['flux_err']
eflux=gtlike['flux']['eflux']
eflux_err=gtlike['flux']['eflux_err']
table[flux_name].append(format.error(flux/1e-9,flux_err/1e-9))
table[energy_flux_name].append(format.error(eflux/1e-12,eflux_err/1e-12))
index=-1*gtlike['model']['Index']
index_err=-1*gtlike['model']['Index_err']
table[gamma_name].append(format.error(index,index_err))
table[luminosity_name].append(r'None')
else:
if gtlike['upper_limit'] != None:
ul=gtlike['upper_limit']['flux']
eul=gtlike['upper_limit']['eflux']
table[flux_name].append(format.ul(ul/1e-9))
table[energy_flux_name].append(format.ul(eul/1e-12))
table[gamma_name].append(nodata)
table[luminosity_name].append(r'None')
else:
table[flux_name].append('None')
table[energy_flux_name].append('None')
table[gamma_name].append(r'None')
table[luminosity_name].append(r'None')
filebase='all_energy'
if confluence:
write_confluence(table,
filebase=filebase,
units={
flux_name:r'(10^-9 ph cm^-2 s^-1)',
energy_flux_name:r'(10^-12 erg cm^-2 s^-1)',
luminosity_name:r'(10^33 erg s^-1)',
})
else:
write_latex(table,
filebase=filebase,
units={
flux_name:r'($10^{-9}\ \ph\,\cm^{-2}\,\s^{-1}$)',
energy_flux_name:r'($10^{-12}\ \erg\,\cm^{-2}\s^{-1}$)',
luminosity_name:r'($10^{33}\ \erg\,\s^{-1}$)',
})
def each_energy_table(pwnlist):
table = OrderedDefaultDict(list)
psr_name='PSR'
TS1_name = r'$\ts_{0.1-1}$' if not confluence else 'TS_(0.1-1)'
TS2_name = r'$\ts_{1-10}$' if not confluence else 'TS_(1-10)'
TS3_name = r'$\ts_{10-316}$' if not confluence else 'TS_(10-316)'
flux1_name = '$F_{0.1-1}$' if not confluence else 'F_(0.1-1)'
flux2_name = '$F_{1-10}$' if not confluence else 'F_(1-10)'
flux3_name = '$F_{10-316}$' if not confluence else 'F_(10-316)'
index1_name = r'$\Gamma_{0.1-1}$' if not confluence else 'Gamma_(0.1-1)'
index2_name = r'$\Gamma_{1-10}$' if not confluence else 'Gamma_(1-10)'
index3_name = r'$\Gamma_{10-316}$' if not confluence else 'Gamma_(10-316)'
for pwn in pwnlist:
results = get_results(pwn)
table[psr_name].append(format.pwn(pwn))
if results is None:
table[TS1_name].append('None')
table[flux1_name].append('None')
table[index1_name].append('None')
table[TS2_name].append('None')
table[flux2_name].append('None')
table[index2_name].append('None')
table[TS3_name].append('None')
table[flux3_name].append('None')
table[index3_name].append('None')
else:
print pwn
b = BestHypothesis(results)
gtlike = b.gtlike
pointlike = b.pointlike
type = b.type
ts = gtlike['bands']['TS']
flux = gtlike['bands']['flux']['value']
flux_err = gtlike['bands']['flux']['error']
ul = gtlike['bands']['flux']['upper_limit']
index = -a(gtlike['bands']['index']['value'])
index_err = -a(gtlike['bands']['index']['error'])
ts = [i if i > 0 else 0 for i in ts]
table[TS1_name].append(format.value(ts[0],precision=1))
if ts[0] >= 25:
table[flux1_name].append(format.error(flux[0]/1e-9,flux_err[0]/1e-9))
table[index1_name].append(format.error(index[0], index_err[0]))
else:
table[flux1_name].append(format.ul(ul[0]/1e-9))
table[index1_name].append(format.nodata)
table[TS2_name].append(format.value(ts[1],precision=1))
if ts[1] >= 25:
table[flux2_name].append(format.error(flux[1]/1e-9,flux_err[1]/1e-9))
table[index2_name].append(format.error(index[1], index_err[1]))
else:
table[flux2_name].append(format.ul(ul[1]/1e-9))
table[index2_name].append(format.nodata)
table[TS3_name].append(format.value(ts[2], precision=1))
if ts[2] >= 25:
table[flux3_name].append(r'$%.2f \pm %.2f$' % (flux[2]/1e-9,flux_err[2]/1e-9))
table[index3_name].append(r'$%.2f \pm %.2f$' % (index[2], index_err[2]))
else:
table[flux3_name].append(format.ul(ul[2]/1e-9))
table[index3_name].append(format.nodata)
filebase='each_energy'
if confluence:
write_confluence(table,
filebase=filebase,
units={
flux1_name:r'(10^-9 ph cm^-2 s^-1)',
flux2_name:r'(10^-9 ph cm^-2 s^-1)',
flux3_name:r'(10^-9 ph cm^-2 s^-1)',
})
else:
write_latex(table,
filebase=filebase,
preamble=r'\tabletypesize{\scriptsize}',
units={
flux1_name:r'($10^{-9}\ \text{ph}\,\text{cm}^{-2}\,\text{s}^{-1}$)',
flux2_name:r'($10^{-9}\ \text{ph}\,\text{cm}^{-2}\,\text{s}^{-1}$)',
flux3_name:r'($10^{-9}\ \text{ph}\,\text{cm}^{-2}\,\text{s}^{-1}$)',
})
def localization_table(pwnlist):
table = OrderedDefaultDict(list)
psr_name='PSR'
l_name='GLON'
b_name='GLAT'
ts_point_name =r'$\ts_\text{point}$' if not confluence else 'TS_point'
ts_ext_name =r'\tsext' if not confluence else 'TS_ext'
offset_name = 'Offset'
ext_name = 'Extension'
poserr_name = 'Pos Err'
for pwn in pwnlist:
results = get_results(pwn)
print pwn
if results is None or \
not results.has_key('point') or \
not results['point'].has_key('gtlike') or \
not results['point'].has_key('pointlike') or \
not results.has_key('extended') or \
not results['extended'].has_key('gtlike') or \
not results['extended'].has_key('pointlike'):
continue
at_pulsar_gtlike = results['at_pulsar']['gtlike']
at_pulsar_pointlike = results['at_pulsar']['pointlike']
point_gtlike = results['point']['gtlike']
point_pointlike = results['point']['pointlike']
extended_gtlike = results['extended']['gtlike']
extended_pointlike = results['extended']['pointlike']
ts_point = point_gtlike['TS']
ts_ext = max(extended_gtlike['ts_ext'],0)
b = BestHypothesis(results)
gtlike = b.gtlike
pointlike = b.pointlike
type = b.type
if type != 'upper_limit':
l,b=pointlike['position']['gal']
try:
poserr='%.2f' % pointlike['spatial_model']['ellipse']['lsigma']
except:
poserr='None'
o = np.degrees(SkyDir(*pointlike['position']['equ']).difference(SkyDir(*at_pulsar_pointlike['position']['equ'])))
if type == 'extended':
extension = extended_pointlike['spatial_model']['Sigma']
extension_err = extended_pointlike['spatial_model']['Sigma_err']
ext = format.error(extension, extension_err)
elif type == 'point':
extension_ul = point_pointlike['extension_upper_limit']['extension']
ext = format.ul(extension_ul)
table[psr_name].append(format.pwn(pwn))
table[ts_point_name].append('%.1f' % ts_point)
table[l_name].append('%.2f' % l)
table[b_name].append('%.2f' % b)
table[poserr_name].append(poserr)
table[offset_name].append('%.2f' % o)
table[ts_ext_name].append('%.1f' % ts_ext)
table[ext_name].append(ext)
deg = '(deg)'
filebase='localization'
if confluence:
write_confluence(table,
filebase=filebase,
units={
l_name:deg,
b_name:deg,
offset_name:deg,
ext_name:deg,
poserr_name:deg,
})
else:
write_latex(table,
filebase=filebase,
units={
l_name:deg,
b_name:deg,
offset_name:deg,
ext_name:deg,
poserr_name:deg,
})
