def __init__(self, source = "custom", input = "Plain", output = "Plain",
jsonString = '[]', dataOut = False, sparseData = False, **pars):
'''
There are several ways to run this code. You can provide
execute it by providing it one of the built in sources to see
what an example output looks like. Availalble built-ins
include 'PG1553', 'Crab', 'PKS2233' and '4C5517' (you must
give those exact strings. There are many options surrounding
each of the custom sources (for example, you can pass a
different redshift or average zenith angle). You can also
define a custom source by passing 'custom' to the source
variable. You'll then need to define the full spectral shape.
See '--help custom' for more details.
'''
self.logger = initLogger('VOT')
if (input == "JSON"):
jsonObject = json.loads(jsonString)
pars = jsonObject[0]
source = pars['source']
sources = {"PG1553" : self.calcPG1553,
"Crab" : self.calcCrab,
"PKS2233" : self.calcPKS2233,
"4C5517" : self.calc4C5517,
"custom" : self.calculateRateAndTime}
sources[source](**pars)
self.Print(output, dataOut, sparseData)
def __init__(self,EBins = [], dNdE = [], Emin=1, Emax=10000, Nbins=100,
eblModel="Dominguez",redshift=0.5,spectralModel="PowerLaw",
**spectralPars):
self.logger = initLogger('VOTSpectrum')
eblModels = {"Null": self.loadNullTau,
"Simple": self.loadSimpleTau,
"Dominguez": self.loadDominguezTau,
"Finke": self.loadFinkeTau,
"Kneiske": self.loadKneiskeTau}
if(not EBins):
self.EBins = self.generateEnergyBins(Emin,Emax,Nbins,"GeV")
else:
self.EBins = EBins
if(not dNdE):
self.dNdE = self.Spectrum(spectralModel,self.EBins,**spectralPars)
else:
self.dNdE = dNdE
try:
z_array,e_array,t_array = eblModels[eblModel]()
except KeyError:
self.logger.critical("Unsupported EBL model.Exiting")
return
self.interpolated_taus = self.interpolateTaus(redshift, self.EBins, z_array, e_array, t_array)
self.dNdE_absorbed = self.absorbSpectrum(self.dNdE,self.interpolated_taus[0:,0])
def __init__(self,
EBins=[],
dNdE=[],
Emin=1,
Emax=10000,
Nbins=100,
eblModel="Dominguez",
redshift=0.5,
spectralModel="PowerLaw",
**spectralPars):
self.logger = initLogger('VOTSpectrum')
eblModels = {
"Null": self.loadNullTau,
"Simple": self.loadSimpleTau,
"Dominguez": self.loadDominguezTau,
"Finke": self.loadFinkeTau,
"Kneiske": self.loadKneiskeTau
}
if (not EBins):
self.EBins = self.generateEnergyBins(Emin, Emax, Nbins, "GeV")
else:
self.EBins = EBins
if (not dNdE):
self.dNdE = self.Spectrum(spectralModel, self.EBins,
**spectralPars)
else:
self.dNdE = dNdE
try:
z_array, e_array, t_array = eblModels[eblModel]()
except KeyError:
self.logger.critical("Unsupported EBL model.Exiting")
return
self.interpolated_taus = self.interpolateTaus(redshift, self.EBins,
z_array, e_array,
t_array)
self.dNdE_absorbed = self.absorbSpectrum(self.dNdE,
self.interpolated_taus[0:, 0])
def __init__(self,
source="custom",
input="Plain",
output="Plain",
jsonString='[]',
dataOut=False,
sparseData=False,
**pars):
'''
There are several ways to run this code. You can provide
execute it by providing it one of the built in sources to see
what an example output looks like. Availalble built-ins
include 'PG1553', 'Crab', 'PKS2233' and '4C5517' (you must
give those exact strings. There are many options surrounding
each of the custom sources (for example, you can pass a
different redshift or average zenith angle). You can also
define a custom source by passing 'custom' to the source
variable. You'll then need to define the full spectral shape.
See '--help custom' for more details.
'''
self.logger = initLogger('VOT')
if (input == "JSON"):
jsonObject = json.loads(jsonString)
pars = jsonObject[0]
source = pars['source']
sources = {
"PG1553": self.calcPG1553,
"Crab": self.calcCrab,
"PKS2233": self.calcPKS2233,
"4C5517": self.calc4C5517,
"custom": self.calculateRateAndTime
}
sources[source](**pars)
self.Print(output, dataOut, sparseData)
def __init__(self,instrument="VERITAS", **pars):
self.logger = initLogger('VOTSpectrum')
self.loadEA(instrument, **pars)
def __init__(self, instrument="VERITAS", **pars):
self.logger = initLogger('VOTSpectrum')
self.loadEA(instrument, **pars)