def _create_fits_table(self, results):
"""
Creates FITS binary table containing phase curve results
Parameters
----------
results : list of dict
List of result dictionaries
Returns
-------
table : `~gammalib.GFitsBinTable`
FITS binary table containing phase curve
"""
# Determine number of rows in FITS table
nrows = len(results)
# Create FITS Table with extension "PHASECURVE"
table = gammalib.GFitsBinTable(nrows)
table.extname('PHASECURVE')
# Append phase columns
ioutils.append_result_column(table, results, 'PHASE_MIN', '', 'phmin')
ioutils.append_result_column(table, results, 'PHASE_MAX', '', 'phmax')
# Append parameter columns
ioutils.append_model_par_column(table,
self.obs().models()[self._srcname],
results)
# Return table
return table
def create_cif_table():
"""
Create Calibration Database Index File binary table
"""
# Create binary table
table = gammalib.GFitsBinTable()
# Append columns. Reference: CAL/GEN/92-008
table.append(gammalib.GFitsTableStringCol("TELESCOP", 0, 10))
table.append(gammalib.GFitsTableStringCol("INSTRUME", 0, 10))
table.append(gammalib.GFitsTableStringCol("DETNAM", 0, 20))
table.append(gammalib.GFitsTableStringCol("FILTER", 0, 10))
table.append(gammalib.GFitsTableStringCol("CAL_DEV", 0, 20))
table.append(gammalib.GFitsTableStringCol("CAL_DIR", 0, 70))
table.append(gammalib.GFitsTableStringCol("CAL_FILE", 0, 40))
table.append(gammalib.GFitsTableStringCol("CAL_CLAS", 0, 3))
table.append(gammalib.GFitsTableStringCol("CAL_DTYP", 0, 4))
table.append(gammalib.GFitsTableStringCol("CAL_CNAM", 0, 20))
table.append(gammalib.GFitsTableStringCol("CAL_CBD", 0, 70, 9))
table.append(gammalib.GFitsTableShortCol("CAL_XNO", 0))
table.append(gammalib.GFitsTableStringCol("CAL_VSD", 0, 10))
table.append(gammalib.GFitsTableStringCol("CAL_VST", 0, 8))
table.append(gammalib.GFitsTableDoubleCol("REF_TIME", 0))
table.append(gammalib.GFitsTableShortCol("CAL_QUAL", 0))
table.append(gammalib.GFitsTableStringCol("CAL_DATE", 0, 8))
table.append(gammalib.GFitsTableStringCol("CAL_DESC", 0, 70))
# Set keywords. Reference: CAL/GEN/92-008
table.extname("CIF")
table.card("CIFVERSN", "1992a", "Version of CIF format")
# Return table
return table
def _create_fits_table(self, results):
"""
Creates FITS binary table containing light curve results.
Args:
results: List of result dictionaries.
Returns:
FITS binary table containing light curve.
"""
# Determine number of rows in FITS table
nrows = len(results)
# Create FITS Table with extension "LIGHTCURVE"
table = gammalib.GFitsBinTable(nrows)
table.extname("LIGHTCURVE")
# Append time columns
mjd = gammalib.GFitsTableDoubleCol("MJD", nrows)
e_mjd = gammalib.GFitsTableDoubleCol("e_MJD", nrows)
mjd.unit("days")
e_mjd.unit("days")
for i, result in enumerate(results):
mjd[i] = result["mjd"]
e_mjd[i] = result["e_mjd"]
table.append(mjd)
table.append(e_mjd)
# Create parameter columns
for par in self._obs.models()[self._srcname]:
if par.is_free():
name = par.name()
e_name = "e_" + par.name()
col = gammalib.GFitsTableDoubleCol(name, nrows)
e_col = gammalib.GFitsTableDoubleCol(e_name, nrows)
col.unit(par.unit())
e_col.unit(par.unit())
for i, result in enumerate(results):
col[i] = result['values'][name]
e_col[i] = result['values'][e_name]
table.append(col)
table.append(e_col)
# Append Test Statistic column
ts = gammalib.GFitsTableDoubleCol("TS", nrows)
for i, result in enumerate(results):
ts[i] = result["ts"]
table.append(ts)
# Append upper limit column
ulimit = gammalib.GFitsTableDoubleCol("UpperLimit", nrows)
ulimit.unit("ph/cm2/s")
for i, result in enumerate(results):
ulimit[i] = result['ulimit']
table.append(ulimit)
# Return table
return table
def _residuals_table(self, obs_id, ebounds, counts, model, residuals):
"""
Create a Fits Table and store counts, model, and residuals
Parameters
----------
obs_id : str
Observation id
ebounds : `~gammalib.GEbounds'
Energy boundaries
counts : `~gammalib.GNdarray'
Counts spectrum
model : `~gammalib.GNdarray'
Model spectrum
residuals : `~gammalib.GNdarray'
Residual spectrum
Returns
-------
table : `~gammalib.GFitsBinTable'
Residual spectrum as FITS binary table
"""
# Create FITS table columns
nrows = ebounds.size()
energy_low = gammalib.GFitsTableDoubleCol('Emin', nrows)
energy_high = gammalib.GFitsTableDoubleCol('Emax', nrows)
counts_col = gammalib.GFitsTableDoubleCol('Counts', nrows)
model_col = gammalib.GFitsTableDoubleCol('Model', nrows)
resid_col = gammalib.GFitsTableDoubleCol('Residuals', nrows)
energy_low.unit('TeV')
energy_high.unit('TeV')
# Fill FITS table columns
for i in range(nrows):
energy_low[i] = ebounds.emin(i).TeV()
energy_high[i] = ebounds.emax(i).TeV()
counts_col[i] = counts[i]
model_col[i] = model[i]
resid_col[i] = residuals[i]
# Initialise FITS Table with extension set to obs id
table = gammalib.GFitsBinTable(nrows)
table.extname('RESIDUALS' + obs_id)
# Add Header card to specify algorithm used for residual computation
table.card('ALGORITHM', self['algorithm'].string(),
'Algorithm used for computation of residuals')
# Append filled columns to fits table
table.append(energy_low)
table.append(energy_high)
table.append(counts_col)
table.append(model_col)
table.append(resid_col)
# Return binary table
return table
def create_cif(self):
"""
Create Calibration Index File (CIF) extension in CIF FITS file.
Parameters:
None
Keywords:
None
"""
# Create binary table
table = gammalib.GFitsBinTable()
# Set boundary
# Attach columns. Reference: CAL/GEN/92-008
table.append(gammalib.GFitsTableStringCol("TELESCOP", 0, 10))
table.append(gammalib.GFitsTableStringCol("INSTRUME", 0, 10))
table.append(gammalib.GFitsTableStringCol("DETNAM", 0, 20))
table.append(gammalib.GFitsTableStringCol("FILTER", 0, 10))
table.append(gammalib.GFitsTableStringCol("CAL_DEV", 0, 20))
table.append(gammalib.GFitsTableStringCol("CAL_DIR", 0, 70))
table.append(gammalib.GFitsTableStringCol("CAL_FILE", 0, 40))
table.append(gammalib.GFitsTableStringCol("CAL_CLAS", 0, 3))
table.append(gammalib.GFitsTableStringCol("CAL_DTYP", 0, 4))
table.append(gammalib.GFitsTableStringCol("CAL_CNAM", 0, 20))
table.append(gammalib.GFitsTableStringCol("CAL_CBD", 0, 70, 9))
table.append(gammalib.GFitsTableShortCol("CAL_XNO", 0))
table.append(gammalib.GFitsTableStringCol("CAL_VSD", 0, 10))
table.append(gammalib.GFitsTableStringCol("CAL_VST", 0, 8))
table.append(gammalib.GFitsTableDoubleCol("REF_TIME", 0))
table.append(gammalib.GFitsTableShortCol("CAL_QUAL", 0))
table.append(gammalib.GFitsTableStringCol("CAL_DATE", 0, 8))
table.append(gammalib.GFitsTableStringCol("CAL_DESC", 0, 70))
# Set keywords. Reference: CAL/GEN/92-008
table.extname("CIF")
table.card("CIFVERSN", "1992a", "Version of CIF format")
# Attach table to FITS file. Note that at this moment the
# FITS table gets connected to the FITS file. Yet since
# nothing was yet written to the FITS file, we cannot read
# anything from it.
self.cif.append(table)
# Return
return
def _create_fits_table(self, results):
"""
Creates FITS binary table containing light curve results
Parameters
----------
results : list of dict
List of result dictionaries
Returns
-------
table : `~gammalib.GFitsBinTable`
FITS binary table containing light curve
"""
# Determine number of rows in FITS table
nrows = len(results)
# Create FITS Table with extension "LIGHTCURVE"
table = gammalib.GFitsBinTable(nrows)
table.extname('LIGHTCURVE')
# Append time columns
ioutils.append_result_column(table, results, 'MJD', 'days', 'mjd')
ioutils.append_result_column(table, results, 'e_MJD', 'days', 'e_mjd')
# Append parameter columns
ioutils.append_model_par_column(table,
self.obs().models()[self._srcname],
results)
# Append Test Statistic column "TS"
ioutils.append_result_column(table, results, 'TS', '', 'ts')
# Append upper limit columns
ioutils.append_result_column(table, results, 'DiffUpperLimit',
'ph/cm2/s/MeV', 'ul_diff')
ioutils.append_result_column(table, results, 'FluxUpperLimit',
'ph/cm2/s', 'ul_flux')
ioutils.append_result_column(table, results, 'EFluxUpperLimit',
'erg/cm2/s', 'ul_eflux')
# Return table
return table
def _make_caldb_index(self):
"""
Creates an IRF index FITS file.
"""
# Write header into logger
if self._logTerse():
self._log("\n")
self._log.header2("Creating database index file")
# Open calibration database index
indx_file = self._base_dir+"/caldb.indx"
# Open index file (or create one if it does not exist)
cif = gammalib.GFits(indx_file, True)
# Retrieve "CIF" table
if cif.contains("CIF"):
table = cif.table("CIF")
# ... or create binary table if no "CIF" table exists yet
else:
# Create empty binary table
bintable = gammalib.GFitsBinTable()
bintable.extname("CIF")
bintable.card("CIFVERSN", "1992a", "Version of CIF format")
# Append table to FITS file and recover a reference to the
# appended table
table = cif.append(bintable)
# Attach columns. Reference: CAL/GEN/92-008
table.append(gammalib.GFitsTableStringCol("TELESCOP", 0, 10))
table.append(gammalib.GFitsTableStringCol("INSTRUME", 0, 10))
table.append(gammalib.GFitsTableStringCol("DETNAM", 0, 20))
table.append(gammalib.GFitsTableStringCol("FILTER", 0, 10))
table.append(gammalib.GFitsTableStringCol("CAL_DEV", 0, 20))
table.append(gammalib.GFitsTableStringCol("CAL_DIR", 0, 70))
table.append(gammalib.GFitsTableStringCol("CAL_FILE", 0, 40))
table.append(gammalib.GFitsTableStringCol("CAL_CLAS", 0, 3))
table.append(gammalib.GFitsTableStringCol("CAL_DTYP", 0, 4))
table.append(gammalib.GFitsTableStringCol("CAL_CNAM", 0, 20))
table.append(gammalib.GFitsTableStringCol("CAL_CBD", 0, 70, 9))
table.append(gammalib.GFitsTableShortCol("CAL_XNO", 0))
table.append(gammalib.GFitsTableStringCol("CAL_VSD", 0, 10))
table.append(gammalib.GFitsTableStringCol("CAL_VST", 0, 8))
table.append(gammalib.GFitsTableDoubleCol("REF_TIME", 0))
table.append(gammalib.GFitsTableShortCol("CAL_QUAL", 0))
table.append(gammalib.GFitsTableStringCol("CAL_DATE", 0, 8))
table.append(gammalib.GFitsTableStringCol("CAL_DESC", 0, 70))
# Check if output config already exist
has_config = False
row_index = -1
for caldir in table["CAL_DIR"]:
row_index += 1
if caldir == self._cal_dir:
has_config = True
break
# Create columns if not available
if not has_config:
# Append 4 rows to CIF extension
table.append_rows(4)
row_index = table.nrows()
else:
row_index += 4
# Add generic information for these 4 rows
for i in range(4):
# Set row number
row = i + row_index-4
# Set date
now = str(datetime.datetime.now())
today, time = now.split()
# Set element
table["TELESCOP"][row] = self._mission
table["INSTRUME"][row] = self._caldb
table["DETNAM"][row] = "NONE"
table["FILTER"][row] = "NONE"
table["CAL_DEV"][row] = "ONLINE"
table["CAL_CLAS"][row] = "BCF"
table["CAL_DTYP"][row] = "DATA"
table["CAL_VSD"][row] = today
table["CAL_VST"][row] = time.split(".")[0]
table["REF_TIME"][row] = 51544.0
table["CAL_QUAL"][row] = 0
table["CAL_CBD"][row] = "NAME("+self["irf"].string()+")"
table["CAL_DATE"][row] = today.replace("-","/")[2:]
table["CAL_DIR"][row] = self._cal_dir
table["CAL_FILE"][row] = self._outfile
# Add effective area information
row = row_index-4
table["CAL_CNAM"][row] = "EFF_AREA"
table["CAL_DESC"][row] = self._caldb+" effective area"
# Add point spread function information
row = row_index-3
table["CAL_CNAM"][row] = "RPSF"
table["CAL_DESC"][row] = self._caldb+" point spread function"
# Add energy dispersion information
row = row_index-2
table["CAL_CNAM"][row] = "EDISP"
table["CAL_DESC"][row] = self._caldb+" energy dispersion"
# Add background information
row = row_index-1
table["CAL_CNAM"][row] = "BGD"
table["CAL_DESC"][row] = self._caldb+" background"
# Log resulting FITS table and header
if self._logNormal():
self._log(str(table))
self._log("\n")
if self._logExplicit():
self._log(str(table.header()))
self._log("\n")
# Return CIF FITS file
return cif
def _create_fits(self, results):
"""
Create FITS file
Parameters
----------
results : list of dict
List of result dictionaries
"""
# Create FITS table columns
nrows = self._ebounds.size()
energy = gammalib.GFitsTableDoubleCol('Energy', nrows)
energy_low = gammalib.GFitsTableDoubleCol('ed_Energy', nrows)
energy_high = gammalib.GFitsTableDoubleCol('eu_Energy', nrows)
flux = gammalib.GFitsTableDoubleCol('Flux', nrows)
flux_err = gammalib.GFitsTableDoubleCol('e_Flux', nrows)
TSvalues = gammalib.GFitsTableDoubleCol('TS', nrows)
ulim_values = gammalib.GFitsTableDoubleCol('UpperLimit', nrows)
Npred_values = gammalib.GFitsTableDoubleCol('Npred', nrows)
energy.unit('TeV')
energy_low.unit('TeV')
energy_high.unit('TeV')
flux.unit('erg/cm2/s')
flux_err.unit('erg/cm2/s')
ulim_values.unit('erg/cm2/s')
# File FITS table columns
for i, result in enumerate(results):
energy[i] = result['energy']
energy_low[i] = result['energy_low']
energy_high[i] = result['energy_high']
flux[i] = result['flux']
flux_err[i] = result['flux_err']
TSvalues[i] = result['TS']
ulim_values[i] = result['ulimit']
Npred_values[i] = result['Npred']
# Initialise FITS Table with extension "SPECTRUM"
table = gammalib.GFitsBinTable(nrows)
table.extname('SPECTRUM')
# Add Header for compatibility with gammalib.GMWLSpectrum
table.card('INSTRUME', 'CTA', 'Name of Instrument')
table.card('TELESCOP', 'CTA', 'Name of Telescope')
# Append filled columns to fits table
table.append(energy)
table.append(energy_low)
table.append(energy_high)
table.append(flux)
table.append(flux_err)
table.append(TSvalues)
table.append(ulim_values)
table.append(Npred_values)
# Create the FITS file now
self._fits = gammalib.GFits()
self._fits.append(table)
# Return
return
def _create_fits(self, result):
"""
Create fits file
Parameters
----------
result: Dictionary with results obtained from fit
"""
# Create columns (just one row ><'!)
# This will change when adding loop over different masses
# and/or channels
# By now, hard-coding the number of rows, 1
nrows = 1
energy = gammalib.GFitsTableDoubleCol('RefEnergy', nrows)
flux = gammalib.GFitsTableDoubleCol('Flux', nrows)
flux_err = gammalib.GFitsTableDoubleCol('EFlux', nrows)
TSvalues = gammalib.GFitsTableDoubleCol('TS', nrows)
ulim_values = gammalib.GFitsTableDoubleCol('UpperLimit', nrows)
# sigma_lim = gammalib.GFitsTableDoubleCol( 'ULCrossSection' , nrows )
# sigma_ref = gammalib.GFitsTableDoubleCol( 'RefCrossSection' , nrows )
sc_factor = gammalib.GFitsTableDoubleCol('ScaleFactor', nrows)
energy.unit('TeV')
flux.unit('erg/cm2/s')
flux_err.unit('erg/cm2/s')
ulim_values.unit('erg/cm2/s')
# sigma_lim.unit( 'cm3/s' )
# sigma_ref.unit( 'cm3/s' )
# Fill fits
energy[0] = result['energy']
flux[0] = result['flux']
flux_err[0] = result['flux_err']
TSvalues[0] = result['TS']
ulim_values[0] = result['ulimit']
# sigma_lim[ 0 ] = result[ 'sigma_lim' ]
# sigma_ref[ 0 ] = result[ 'sigma_ref' ]
sc_factor[0] = result['sc_factor']
# Initialise FITS Table with extension "DMATTER"
table = gammalib.GFitsBinTable(nrows)
table.extname('DMATTER')
# Add Header for compatibility with gammalib.GMWLSpectrum
table.card('INSTRUME', 'CTA', 'Name of Instrument')
table.card('TELESCOP', 'CTA', 'Name of Telescope')
# Append filled columns to fits table
table.append(energy)
table.append(flux)
table.append(flux_err)
table.append(TSvalues)
table.append(ulim_values)
# table.append( sigma_lim )
# table.append( sigma_ref )
table.append(sc_factor)
# Create the FITS file now
self._fits = gammalib.GFits()
self._fits.append(table)
# Return
return
for nameSource in nameSources:
spec = models[nameSource].spectral()
flux = spec.eval(e_ref, gammalib.GTime())
theo_flux += flux
print('\t* dF/dE(@ {:.2f} TeV): {:.3e} ph/(MeV cm**2 s)'.format(
thiseref, theo_flux))
# Creating th fits file to save all the relevant results
dmfits = gammalib.GFits()
# Creating table with number of rows equal to the number of sims
table = gammalib.GFitsBinTable(args.nsims)
# Creating columns for every parameter to save
col_runID = gammalib.GFitsTableShortCol('RunID', args.nsims)
col_events = gammalib.GFitsTableDoubleCol('CubeEvents', args.nsims)
# col_oevents = gammalib.GFitsTableDoubleCol( 'ObsEvents' , args.nsims )
col_ts = gammalib.GFitsTableDoubleCol('TS', args.nsims)
col_ulflux = gammalib.GFitsTableDoubleCol('ULFlux', args.nsims)
col_scale = gammalib.GFitsTableDoubleCol('ScaleFactor', args.nsims)
if is_anna_or_decs:
col_cs = gammalib.GFitsTableDoubleCol('LogCrossSection', args.nsims)
else:
def run(self):
"""
Run the script.
"""
# Switch screen logging on in debug mode
if self._logDebug():
self._log.cout(True)
# Get parameters
self._get_parameters()
# Write spectral binning into header
if self._logTerse():
self._log("\n")
self._log.header1("Spectral binning")
if self._binned_mode:
cube_ebounds = self._obs[0].events().ebounds()
self._log.parformat("Counts cube energy range")
self._log(str(cube_ebounds.emin()))
self._log(" - ")
self._log(str(cube_ebounds.emax()))
self._log("\n")
for i in range(self._ebounds.size()):
self._log.parformat("Bin " + str(i + 1))
self._log(str(self._ebounds.emin(i)))
self._log(" - ")
self._log(str(self._ebounds.emax(i)))
self._log("\n")
# Write observation into logger
if self._logTerse():
self._log("\n")
self._log.header1("Observation")
self._log(str(self._obs))
self._log("\n")
# Write header
if self._logTerse():
self._log("\n")
self._log.header1("Adjust model parameters")
# Adjust model parameters dependent on input user parameters
for model in self._obs.models():
# Set TS flag for all models to false.
# Source of interest will be set to true later
model.tscalc(False)
# Log model name
if self._logExplicit():
self._log.header3(model.name())
# Deal with the source of interest
if model.name() == self._srcname:
for par in model:
if par.is_free() and self._logExplicit():
self._log(" Fixing \"" + par.name() + "\"\n")
par.fix()
normpar = model.spectral()[0]
if normpar.is_fixed() and self._logExplicit():
self._log(" Freeing \"" + normpar.name() + "\"\n")
normpar.free()
if self._calc_ts:
model.tscalc(True)
elif self._fix_bkg and not model.classname() == "GModelSky":
for par in model:
if par.is_free() and self._logExplicit():
self._log(" Fixing \"" + par.name() + "\"\n")
par.fix()
elif self._fix_srcs and model.classname() == "GModelSky":
for par in model:
if par.is_free() and self._logExplicit():
self._log(" Fixing \"" + par.name() + "\"\n")
par.fix()
# Write header
if self._logTerse():
self._log("\n")
self._log.header1("Generate spectrum")
self._log(str(self._ebounds))
# Initialise FITS Table with extension "SPECTRUM"
table = gammalib.GFitsBinTable(self._ebounds.size())
table.extname("SPECTRUM")
# Add Header for compatibility with gammalib.GMWLSpectrum
table.card("INSTRUME", "CTA", "Name of Instrument")
table.card("TELESCOP", "CTA", "Name of Telescope")
# Create FITS table columns
nrows = self._ebounds.size()
energy = gammalib.GFitsTableDoubleCol("Energy", nrows)
energy_low = gammalib.GFitsTableDoubleCol("ed_Energy", nrows)
energy_high = gammalib.GFitsTableDoubleCol("eu_Energy", nrows)
flux = gammalib.GFitsTableDoubleCol("Flux", nrows)
flux_err = gammalib.GFitsTableDoubleCol("e_Flux", nrows)
TSvalues = gammalib.GFitsTableDoubleCol("TS", nrows)
ulim_values = gammalib.GFitsTableDoubleCol("UpperLimit", nrows)
Npred_values = gammalib.GFitsTableDoubleCol("Npred", nrows)
energy.unit("TeV")
energy_low.unit("TeV")
energy_high.unit("TeV")
flux.unit("erg/cm2/s")
flux_err.unit("erg/cm2/s")
ulim_values.unit("erg/cm2/s")
# Loop over energy bins
for i in range(nrows):
# Log information
if self._logExplicit():
self._log("\n")
self._log.header2("Energy bin " + str(i + 1))
# Get energy boundaries
emin = self._ebounds.emin(i)
emax = self._ebounds.emax(i)
elogmean = self._ebounds.elogmean(i)
elogmean2 = elogmean.MeV() * elogmean.MeV()
# Store energy as TeV
energy[i] = elogmean.TeV()
# Store energy errors
energy_low[i] = (elogmean - emin).TeV()
energy_high[i] = (emax - elogmean).TeV()
# Use ctselect for unbinned analysis
if not self._binned_mode:
# Log information
if self._logExplicit():
self._log.header3("Selecting events")
# Select events
select = ctools.ctselect(self._obs)
select["emin"] = emin.TeV()
select["emax"] = emax.TeV()
select["tmin"] = "UNDEFINED"
select["tmax"] = "UNDEFINED"
select["rad"] = "UNDEFINED"
select["ra"] = "UNDEFINED"
select["dec"] = "UNDEFINED"
select.run()
# Retrieve observation
obs = select.obs()
# Use ctcubemask for binned analysis
else:
# Header
if self._logExplicit():
self._log.header3("Filtering cube")
# Select layers
cubemask = ctools.ctcubemask(self._obs)
cubemask["regfile"] = "NONE"
cubemask["ra"] = "UNDEFINED"
cubemask["dec"] = "UNDEFINED"
cubemask["rad"] = "UNDEFINED"
cubemask["emin"] = emin.TeV()
cubemask["emax"] = emax.TeV()
cubemask.run()
# Set new binned observation
obs = cubemask.obs()
# Header
if self._logExplicit():
self._log.header3("Performing fit")
# Likelihood
like = ctools.ctlike(obs)
like["edisp"] = self._edisp
like.run()
# Skip bin if no event was present
if like.obs().logL() == 0.0:
# Log information
if self._logExplicit():
self._log("No event in this bin. ")
self._log("Likelihood is zero. ")
self._log("Bin is skipped.")
# Set all values to 0
flux[i] = 0.0
flux_err[i] = 0.0
TSvalues[i] = 0.0
ulim_values[i] = 0.0
Npred_values[i] = 0.0
continue
# Get results
fitted_models = like.obs().models()
source = fitted_models[self._srcname]
# Calculate Upper Limit
ulimit_value = -1.0
if self._calc_ulimit:
# Logging information
if self._logExplicit():
self._log.header3("Computing upper limit")
# Create upper limit object
ulimit = ctools.ctulimit(like.obs())
ulimit["srcname"] = self._srcname
ulimit["eref"] = elogmean.TeV()
# Try to run upper limit and catch exceptions
try:
ulimit.run()
ulimit_value = ulimit.diff_ulimit()
except:
if self._logExplicit():
self._log("Upper limit calculation failed.")
ulimit_value = -1.0
# Get TS value
TS = -1.0
if self._calc_ts:
TS = source.ts()
# Compute Npred value (only works for unbinned analysis)
Npred = 0.0
if not self._binned_mode:
for observation in like.obs():
Npred += observation.npred(source)
# Get differential flux
fitted_flux = source.spectral().eval(elogmean)
# Compute flux error
parvalue = source.spectral()[0].value()
rel_error = source.spectral()[0].error() / parvalue
e_flux = fitted_flux * rel_error
# Set values for storage
TSvalues[i] = TS
# Set npred values
Npred_values[i] = Npred
# Convert fluxes to nuFnu
flux[i] = fitted_flux * elogmean2 * gammalib.MeV2erg
flux_err[i] = e_flux * elogmean2 * gammalib.MeV2erg
if ulimit_value > 0.0:
ulim_values[i] = ulimit_value * elogmean2 * gammalib.MeV2erg
# Log information
if self._logTerse():
self._log("\n")
self._log.parformat("Bin " + str(i + 1))
self._log(str(flux[i]))
self._log(" +/- ")
self._log(str(flux_err[i]))
if self._calc_ulimit and ulim_values[i] > 0.0:
self._log(" [< " + str(ulim_values[i]) + "]")
self._log(" erg/cm2/s")
if self._calc_ts and TSvalues[i] > 0.0:
self._log(" (TS = " + str(TS) + ")")
# Append filled columns to fits table
table.append(energy)
table.append(energy_low)
table.append(energy_high)
table.append(flux)
table.append(flux_err)
table.append(TSvalues)
table.append(ulim_values)
table.append(Npred_values)
# Create the FITS file now
self._fits = gammalib.GFits()
self._fits.append(table)
# Return
return
def _create_fits(self, results) :
"""
Create fits file
Parameters
----------
result: Dictionary with results obtained from fit
"""
# Create columns (><'! Now, added for n mass points')
nrows = len(self._masses)
e_min = gammalib.GFitsTableDoubleCol('MinEnergy', nrows)
e_max = gammalib.GFitsTableDoubleCol('MaxEnergy', nrows)
mass = gammalib.GFitsTableDoubleCol('Mass', nrows)
flux = gammalib.GFitsTableDoubleCol('Flux', nrows)
flux_err = gammalib.GFitsTableDoubleCol('EFlux', nrows)
slogl = gammalib.GFitsTableDoubleCol('LogL', nrows)
TSvalues = gammalib.GFitsTableDoubleCol('TS', nrows)
ulim_values = gammalib.GFitsTableDoubleCol('UpperLimit', nrows)
sigma_lim = gammalib.GFitsTableDoubleCol('ULCrossSection', nrows)
sigma_ref = gammalib.GFitsTableDoubleCol('RefCrossSection', nrows)
sc_factor = gammalib.GFitsTableDoubleCol('ScaleFactor', nrows)
e_min.unit('TeV')
e_max.unit('TeV')
mass.unit('TeV')
flux.unit('erg/cm2/s')
flux_err.unit('erg/cm2/s')
ulim_values.unit('1/cm2/s')
sigma_lim.unit('cm3/s')
sigma_ref.unit('cm3/s')
# Fill fits
for i, result in enumerate(results) :
e_min[i] = result['e_min']
e_max[i] = result['e_max']
mass[i] = result['mass']
flux[i] = result['flux']
flux_err[i] = result['flux_err']
slogl[i] = result['logL']
TSvalues[i] = result['TS']
ulim_values[i] = result['ulimit']
sigma_lim[i] = result['sigma_lim']
sigma_ref[i] = result['sigma_ref']
sc_factor[i] = result['sc_factor']
# Initialise FITS Table with extension "DMATTER"
table = gammalib.GFitsBinTable(nrows)
table.extname('DMATTER')
# Add Header for compatibility with gammalib.GMWLSpectrum
table.card('INSTRUME', 'CTA', 'Name of Instrument')
table.card('TELESCOP', 'CTA', 'Name of Telescope')
# Append filled columns to fits table
table.append(e_min)
table.append(e_max)
table.append(mass)
table.append(flux)
table.append(flux_err)
table.append(slogl)
table.append(TSvalues)
table.append(ulim_values)
table.append(sigma_lim)
table.append(sigma_ref)
table.append(sc_factor)
# Create the FITS file now
self._fits = gammalib.GFits()
self._fits.append(table)
# Return
return
