def __init__(self, config, parent_filename=""):
super(BayesianBlocks, self).__init__(config, parent_filename)
self.LCfolder = self.folder + "/BayesianBlocks/"
utils.mkdir_p(self.LCfolder)
# Convert time if necessary
if self.config['time']['type'] == 'MJD':
self.config['time']['tmin'] = utils.MJD_to_met(
self.config['time']['tmin'])
self.config['time']['tmax'] = utils.MJD_to_met(
self.config['time']['tmax'])
self.config['time']['type'] == 'MET'
elif self.config['time']['type'] == 'JD':
self.config['time']['tmin'] = utils.JD_to_met(
self.config['time']['tmin'])
self.config['time']['tmax'] = utils.JD_to_met(
self.config['time']['tmax'])
self.config['time']['type'] == 'MET'
self.tmin = self.config['time']['tmin']
self.tmax = self.config['time']['tmax']
self.p0 = self.config['BayesianBlocks']['p0']
self.config['Spectrum']['FitsGeneration'] = self.config[
'BayesianBlocks']['FitsGeneration']
self.config['Spectrum']['FrozenSpectralIndex'] = self.config[
'BayesianBlocks']['SpectralIndex']
self.config['UpperLimit']['TSlimit'] = self.config['BayesianBlocks'][
'TSLightCurve']
# Check apperture light curve have benn run first
self._CheckAppertureLightCurveFile()
def _MakeTimeBins(self):
self.time_array = np.zeros(0)
self.Nbin = 0
self.gtifile = []
if self.config['time']['file'] != '':
print "use ",self.config['time']['file']
self.gtifile.append(self.config['time']['file'])
times = np.genfromtxt(self.gtifile[0],dtype="float",unpack=True)
self.Nbin = times.size/2
self.time_array=np.reshape(times,times.size,'F')
if self.config['time']['type']=='MJD':
self.time_array = utils.MJD_to_met(self.time_array)
elif self.config['time']['type']=='JD':
self.time_array = utils.JD_to_met(self.time_array)
else:
self.Nbin = self.config['LightCurve']['NLCbin']
self.time_array = np.zeros(self.Nbin*2)
# self.dt = (self.tmax - self.tmin) / self.Nbin
t = np.arange(self.tmin,self.tmax+0.000001,(self.tmax - self.tmin) / self.Nbin)
for i in xrange(self.Nbin):
self.time_array[2*i] = t[i]
self.time_array[2*i+1]= t[i+1]
self.info("Running LC with "+str(self.Nbin)+" bins")
for i in xrange(self.Nbin):
print "Bin ",i," Start=",self.time_array[2*i]," Stop=",self.time_array[2*i+1]
print
def LoadConfiguration(self):
#Read the configuration object and init all the variable
filetag = self.Configuration['file']['tag']
self.inttag = "_" + filetag
if not (self.tag == ""):
self.inttag += "_" + self.tag
self.srcname = self.Configuration['target']['name']
self.modelname = self.Configuration['target']['spectrum']
self.ft1 = self.Configuration['file']['event']
self.ft2 = self.Configuration['file']['spacecraft']
self.xmlfile = self.Configuration['file']['xml']
#Fits files
self.eventcoarse = self.folder + '/' + self.srcname + "_" + filetag + "_EvtCoarse.fits"
self.eventfile = self.folder + '/' + self.srcname + self.inttag + "_Evt.fits"
self.mktimefile = self.folder + '/' + self.srcname + self.inttag + "_MkTime.fits"
self.Cubename = self.folder + '/' + self.srcname + self.inttag + "_ltCube.fits"
self.Mapname = self.folder + '/' + self.srcname + self.inttag + "_ExpMap.fits"
self.BinnedMapfile = self.folder + '/' + self.srcname + self.inttag + "_BinnedMap.fits"
self.cmapfile = self.folder + '/' + self.srcname + self.inttag + "_CountMap.fits"
self.lcfile = self.folder + '/' + self.srcname + self.inttag + "_applc.fits"
self.ccube = self.folder + '/' + self.srcname + self.inttag + "_CCUBE.fits"
self.srcMap = self.folder + '/' + self.srcname + self.inttag + "_" + self.modelname + "_srcMap.fits"
self.ModelMapFile = self.folder + '/' + self.srcname + self.inttag + "_" + self.modelname + "_ModelMap.fits"
self.BinDef = self.folder + '/' + self.srcname + self.inttag + "_BinDef.fits"
self.Probfile = self.folder + '/' + self.srcname + self.inttag + "_" + self.modelname + "_prob.fits"
self.psf = self.folder + '/' + self.srcname + self.inttag + "_" + self.modelname + "_psf.fits"
self.rel_diff_file = self.folder + '/' + self.srcname + self.inttag + "_" + self.modelname + "_ResidualMap.fits"
self.abs_diff_file = self.folder + '/' + self.srcname + self.inttag + "_" + self.modelname + "_SubtractMap.fits"
#Variables
if ('MJD' in self.Configuration['time']['type']):
get_met = lambda t: utils.MJD_to_met(float(t))
elif ('JD' in self.Configuration['time']['type']):
get_met = lambda t: utils.JD_to_met(float(t))
else:
get_met = lambda t: float(t)
#use energy dispersion corrections? This will extend Emin and Emax
self.use_edisp = bool(
self.Configuration['analysis']['EnergyDispersion'] == 'yes'
and self.Configuration["analysis"]["likelihood"] == "binned")
self.t1 = get_met(self.Configuration['time']['tmin'])
self.t2 = get_met(self.Configuration['time']['tmax'])
self.Emin = float(self.Configuration['energy']['emin'])
self.Emax = float(self.Configuration['energy']['emax'])
if (self.use_edisp):
self.Emin_ext = 10**(log10(self.Emin) - 0.3)
self.Emax_ext = 10**(log10(self.Emax) + 0.3)
else:
self.Emin_ext = self.Emin
self.Emax_ext = self.Emax
self.ra = float(self.Configuration['space']['xref'])
self.dec = float(self.Configuration['space']['yref'])
self.roi = float(self.Configuration['space']['rad'])
self.irfs, _ = utils.GetIRFS(self.Configuration['event']['evclass'],
self.Configuration['event']['evtype'])
#self.irfs = self.irfs
self.likelihood = self.Configuration['analysis']['likelihood']
#Apply cuts in event selections?
# (roicuts should not be applied twice, it makes ST crash)
self.roicuts = bool(
self.Configuration['analysis']['evtroicuts'] == 'yes')
self.timecuts = bool(
self.Configuration['analysis']['evttimecuts'] == 'yes')
#diffuse Response
self.diffrspflag = self.folder + '/' + self.srcname + self.inttag + "_diffrsp.flag"
#Maps binning
self.binsz = self.Configuration['space']['binsz']
self.npix = int(2 * self.roi / self.binsz)
self.npixCntMp = int(sqrt(2.) * self.roi / self.binsz)
#tool options
self.clobber = self.Configuration['clobber']
