def __init__(self,
base='MySource',
configFile = False,
analysisConfig = dC.defaultAnalysisConfig,
commonConfig = dC.defaultCommonConfig):
commonConfig['base'] = base
#Fills in missing items from the config arguments with default values
for k in dC.defaultCommonConfig:
commonConfig.setdefault(k, dC.defaultCommonConfig[k])
for k in dC.defaultAnalysisConfig:
analysisConfig.setdefault(k, dC.defaultAnalysisConfig[k])
self.logger = Logger(base, self.__class__.__name__,ll(commonConfig['verbosity'])).get()
self.logger.info("This is quickLike version {}.".format(__version__))
if(configFile):
try:
commonConfigRead,analysisConfigRead,likelihoodConfigRead,plotConfigRead,curveConfigRead = qU.readConfig(self.logger,base)
except(qU.FileNotFound):
self.logger.critical("One or more needed files do not exist.")
sys.exit()
try:
commonConfig = qU.checkConfig(self.logger,commonConfig,commonConfigRead)
except(KeyError):
sys.exit()
#Reset the verboisty from the config file if needed
if ll(commonConfig['verbosity']) != self.logger.handlers[1].level:
self.logger.info("Resetting the log level on the console to {}.".format(commonConfig['verbosity']))
self.logger.handlers[1].setLevel(ll(commonConfig['verbosity']))
try:
analysisConfig = qU.checkConfig(self.logger,analysisConfig,analysisConfigRead)
except(KeyError):
sys.exit()
self.commonConf = commonConfig
self.analysisConf = analysisConfig
logString = "Created quickAnalysis object: "
for variable, value in commonConfig.iteritems():
logString += variable+"="+str(value)+","
for variable, value in analysisConfig.iteritems():
logString += variable+"="+str(value)+","
self.logger.info(logString)
class quickAnalysis:
"""This is the base class. If you want to use this, you first
need to create an object from this method:
>>> qA = quickAnalysis('example_name', configFile = True)
will create an object called qA with the <basename> of
'example_name' and will read in all of the options from the config
file. You can create an example config frile via the writeConfig
function or via the command line with the -c option. You can also
pass all of the variables via the intial object initialiation
function (see below). Once you've created this object, you can
just execute the runAll function to execute all of the steps, or
use the functions individually as needed.
"""
__version__ = LAS.__version__
def __init__(self,
base='MySource',
configFile = False,
analysisConfig = dC.defaultAnalysisConfig,
commonConfig = dC.defaultCommonConfig):
commonConfig['base'] = base
#Fills in missing items from the config arguments with default values
for k in dC.defaultCommonConfig:
commonConfig.setdefault(k, dC.defaultCommonConfig[k])
for k in dC.defaultAnalysisConfig:
analysisConfig.setdefault(k, dC.defaultAnalysisConfig[k])
self.logger = Logger(base, self.__class__.__name__,ll(commonConfig['verbosity'])).get()
self.logger.info("This is quickLike version {}.".format(__version__))
if(configFile):
try:
commonConfigRead,analysisConfigRead,likelihoodConfigRead,plotConfigRead,curveConfigRead = qU.readConfig(self.logger,base)
except(qU.FileNotFound):
self.logger.critical("One or more needed files do not exist.")
sys.exit()
try:
commonConfig = qU.checkConfig(self.logger,commonConfig,commonConfigRead)
except(KeyError):
sys.exit()
#Reset the verboisty from the config file if needed
if ll(commonConfig['verbosity']) != self.logger.handlers[1].level:
self.logger.info("Resetting the log level on the console to {}.".format(commonConfig['verbosity']))
self.logger.handlers[1].setLevel(ll(commonConfig['verbosity']))
try:
analysisConfig = qU.checkConfig(self.logger,analysisConfig,analysisConfigRead)
except(KeyError):
sys.exit()
self.commonConf = commonConfig
self.analysisConf = analysisConfig
logString = "Created quickAnalysis object: "
for variable, value in commonConfig.iteritems():
logString += variable+"="+str(value)+","
for variable, value in analysisConfig.iteritems():
logString += variable+"="+str(value)+","
self.logger.info(logString)
def writeConfig(self):
"""Writes all of the initialization variables to the config
file called <basename>.cfg."""
qU.writeConfig(quickLogger=self.logger,
commonDictionary=self.commonConf,
analysisDictionary=self.analysisConf)
def runSelect(self,run = True,printCmd=False, **kwargs):
"""Runs gtselect on the data using the initialization
parameters. User selected parameters include the conversion
type and the eventclass."""
filter['rad'] = self.analysisConf['rad']
filter['evclass'] = self.commonConf['eventclass']
filter['evtype'] = self.commonConf['eventtype']
filter['evclsmin'] = 0
filter['evclsmax'] = 10
filter['infile'] = "@"+self.commonConf['base']+".list"
filter['outfile'] = self.commonConf['base']+"_filtered.fits"
filter['ra'] = self.analysisConf['ra']
filter['dec'] = self.analysisConf['dec']
filter['tmin'] = self.analysisConf['tmin']
filter['tmax'] = self.analysisConf['tmax']
filter['emin'] = self.analysisConf['emin']
filter['emax'] = self.analysisConf['emax']
filter['zmax'] = self.analysisConf['zmax']
filter['convtype'] = self.analysisConf['convtype']
#Override the settings above with the kwargs if they exist.
for name,value in kwargs.items():
filter[name] = value
qU.runCommand(filter,self.logger,run,printCmd)
def runGTI(self, run = True, **kwargs):
"""Executes gtmktime with the given filter"""
maketime['scfile'] = self.commonConf['base']+'_SC.fits'
maketime['filter'] = self.analysisConf['filter']
maketime['roicut'] = self.analysisConf['roicut']
maketime['evfile'] = self.commonConf['base']+'_filtered.fits'
maketime['outfile'] = self.commonConf['base']+'_filtered_gti.fits'
#Override the settings above with the kwargs if they exist.
for name,value in kwargs.items():
maketime[name] = value
qU.runCommand(maketime,self.logger,run)
def runDIFRSP(self, run = True, **kwargs):
"""Executes gtdiffrsp with the given arguments"""
diffResps['evfile'] = self.commonConf['base']+'_filtered_gti.fits'
diffResps['scfile'] = self.commonConf['base']+'_SC.fits'
diffResps['srcmdl'] = self.analysisConf['model']
diffResps['irfs'] = self.commonConf['irfs']
#Override the settings above with the kwargs if they exist.
for name,value in kwargs.items():
diffResps[name] = value
qU.runCommand(diffResps,self.logger,run)
def runLTCube(self, run=True, **kwargs):
"""Generates a livetime cube"""
expCube['evfile'] = self.commonConf['base']+'_filtered_gti.fits'
expCube['scfile'] = self.commonConf['base']+'_SC.fits'
expCube['outfile'] = self.commonConf['base']+'_ltcube.fits'
expCube['dcostheta'] = 0.025
expCube['binsz'] = 1
expCube['zmax'] = self.analysisConf['ltzmax']
#Override the settings above with the kwargs if they exist.
for name,value in kwargs.items():
expCube[name] = value
np = int(self.commonConf['multicore'])
if(np > 0):
import gtltcube_mp as ltmp
ltmp.gtltcube_mp(np, expCube['scfile'], expCube['evfile'], expCube['outfile'],
False,expCube['zmax'], 0, 0)
else:
qU.runCommand(expCube,self.logger,run)
def runExpMap(self, run=True, **kwargs):
"""Generates an exposure map that is 10 degrees larger than
the ROI and has 120 pixels in each direction."""
expMap['evfile'] = self.commonConf['base']+'_filtered_gti.fits'
expMap['scfile'] = self.commonConf['base']+'_SC.fits'
expMap['expcube'] = self.commonConf['base']+'_ltcube.fits'
expMap['outfile'] = self.commonConf['base']+'_expMap.fits'
expMap['irfs'] = self.commonConf['irfs']
expMap['srcrad'] = float(self.analysisConf['rad']) + 10.
expMap['nlong'] = 120
expMap['nlat'] = 120
expMap['nenergies'] = 20
#Override the settings above with the kwargs if they exist.
for name,value in kwargs.items():
expMap[name] = value
np = int(self.commonConf['multicore'])
if(np > 0):
import gtexpmap_mp as expmp
expmp.gtexpmap_mp(expMap['nlong'],expMap['nlat'],np,1,
expMap['scfile'],expMap['evfile'],expMap['expcube'],
expMap['irfs'],expMap['srcrad'],expMap['nenergies'],
expMap['outfile'],False)
else:
qU.runCommand(expMap,self.logger,run)
def runCCUBE(self, run=True,nbins=30, **kwargs):
"""Generates a counts cube. The dimensions of which are the
largest square subtended by the ROI. Note that if the ROI is
exceptionally small or the bin size exceptionally large, the
square might not be the largest posible since the npix
calculation floors the calculated value. The number of energy
bins is logarithmic and is defined by the nbins variable."""
if float(self.analysisConf['nxpix']) < 0 or float(self.analysisConf['nypix']) < 0:
self.logger.info("Autocalculating nxpix and nypix.")
self.analysisConf['nxpix'] = qU.NumberOfPixels(float(self.analysisConf['rad']),
float(self.analysisConf['binsize']))
self.analysisConf['nypix'] = self.analysisConf['nxpix']
print self.analysisConf['nypix']
evtbin['evfile'] = self.commonConf['base']+'_filtered_gti.fits'
evtbin['outfile'] = self.commonConf['base']+'_CCUBE.fits'
evtbin['algorithm'] = 'CCUBE'
evtbin['nxpix'] = self.analysisConf['nxpix']
evtbin['nypix'] = self.analysisConf['nypix']
evtbin['binsz'] = self.analysisConf['binsize']
evtbin['coordsys'] = 'CEL'
evtbin['xref'] = self.analysisConf['ra']
evtbin['yref'] = self.analysisConf['dec']
evtbin['axisrot'] = 0
evtbin['proj'] = self.analysisConf['proj']
evtbin['ebinalg'] = 'LOG'
evtbin['emin'] = self.analysisConf['emin']
evtbin['emax'] = self.analysisConf['emax']
evtbin['enumbins'] = nbins
evtbin['scfile'] = self.commonConf['base']+"_SC.fits"
#Override settings above with kwargs if they exist
for name, value in kwargs.items():
evtbin[name] = value
qU.runCommand(evtbin,self.logger,run)
def runCMAP(self, run=True):
"""Generates a counts map. The dimensions of which are the
largest square subtended by the ROI. Note that if the ROI is
exceptionally small or the bin size exceptionally large, the
square might not be the largest posible since the npix
calculation floors the calculated value."""
qU.runCMAP(self.logger,
self.commonConf['base'],
self.analysisConf['rad'],
self.analysisConf['binsize'],
self.analysisConf['ra'],
self.analysisConf['dec'],
self.analysisConf['nxpix'],
self.analysisConf['nypix'],
self.analysisConf['proj'])
def runExpCube(self,run=True,nbins=30, ExpBuffer=30, **kwargs):
"""Generates a binned exposure map that is 30 degrees larger
than the ROI. The binned exposure map needs to take into
account the exposure on sources outside of the ROI. 30
degrees is the size of the PSF at low energies plus some extra
tens of degrees for security. You can adjust this buffer by
setting the ExpBuffer option. The energy binning is
logarithmic and the number of energy bins is defined by the
nbins variable."""
npix = qU.NumberOfPixels(float(self.analysisConf['rad'])+ExpBuffer, float(self.analysisConf['binsize']))
gtexpcube2['infile'] = self.commonConf['base']+"_ltcube.fits"
gtexpcube2['cmap'] = self.commonConf['base']+'_CCUBE.fits'
gtexpcube2['outfile'] = self.commonConf['base']+"_BinnedExpMap.fits"
gtexpcube2['irfs'] = self.commonConf['irfs']
gtexpcube2['xref'] = str(self.analysisConf['ra'])
gtexpcube2['yref'] = str(self.analysisConf['dec'])
gtexpcube2['nxpix'] = str(npix)
gtexpcube2['nypix'] = str(npix)
gtexpcube2['binsz'] = str(self.analysisConf['binsize'])
gtexpcube2['coordsys'] = "CEL"
gtexpcube2['axisrot'] = 0
gtexpcube2['proj'] = str(self.analysisConf['proj'])
gtexpcube2['ebinalg'] = "LOG"
gtexpcube2['emin'] = str(self.analysisConf['emin'])
gtexpcube2['emax'] = str(self.analysisConf['emax'])
gtexpcube2['enumbins'] = str(nbins)
#Override settings above with kwargs if they exist
for name, value in kwargs.items():
gtexpcube2[name] = value
qU.runCommand(gtexpcube2, self.logger, run)
"""
cmd = "gtexpcube2 infile="+self.commonConf['base']+"_ltcube.fits"\
+" cmap=none"\
+" outfile="+self.commonConf['base']+"_BinnedExpMap.fits"\
+" irfs="+self.commonConf['irfs']\
+" xref="+str(self.analysisConf['ra'])\
+" yref="+str(self.analysisConf['dec'])\
+" nxpix="+str(npix)\
+" nypix="+str(npix)\
+" binsz="+str(self.analysisConf['binsize'])\
+" coordsys=CEL"\
+" axisrot=0"\
+" proj=AIT"\
+" ebinalg=LOG"\
+" emin="+str(self.analysisConf['emin'])\
+" emax="+str(self.analysisConf['emax'])\
+" enumbins="+str(nbins)
if(run):
os.system(cmd)
self.logger.info(cmd)
else:
print cmd"""
def generateXMLmodel(self):
"""Calls the quickUtils function to make an XML model of your
region based on the 2FGL. make2FGLXml.py needs to be in your
python path. This needs to have the galactic and isotropic
diffuse models in your working directory as well as the 2FGL
catalog in FITS format. See the corresponding function in
quickUtils for more details."""
try:
qU.generateXMLmodel(self.logger, self.commonConf['base'])
except(qU.FileNotFound):
self.logger.critical("One or more needed files do not exist")
exit()
def runSrcMaps(self, run=True, makeModel=True, **kwargs):
"""Generates a source map for your region. Checks to make
sure that there's an XML model to be had and if not, creates
one from the 2FGL."""
if makeModel:
self.generateXMLmodel()
"""
# This clashes with quickCurve. If you want this functionality back, put it in runAll() and the cli
try:
qU.checkForFiles(self.logger,[self.commonConf['base']+"_CCUBE.fits",
self.commonConf['base']+"_ltcube.fits",
self.commonConf['base']+"_BinnedExpMap.fits",
self.commonConf['base']+"_SC.fits",])
except(qU.FileNotFound):
self.logger.critical("One or more needed files do not exist")
sys.exit()"""
srcMaps['scfile'] = self.commonConf['base']+"_SC.fits"
srcMaps['expcube'] = self.commonConf['base']+"_ltcube.fits"
srcMaps['cmap'] = self.commonConf['base']+"_CCUBE.fits"
srcMaps['srcmdl'] = self.commonConf['base']+"_model.xml"
srcMaps['bexpmap'] = self.commonConf['base']+"_BinnedExpMap.fits"
srcMaps['outfile'] = self.commonConf['base']+"_srcMaps.fits"
srcMaps['irfs'] = self.commonConf['irfs']
srcMaps['rfactor'] = 4
srcMaps['emapbnds'] = "yes"
#Override settings from kwargs if they exist
for name, value in kwargs.items():
srcMaps[name] = value
qU.runCommand(srcMaps,self.logger,run)
def runModelMap(self, run=True):
"""Wrapper for the same function in quickUtils"""
qU.runModelMap(self.logger,self.commonConf['base'],'',self.commonConf['irfs'],False,run)
def runModelCube(self, run=True):
"""Wrapper for the same function in quickUtils"""
qU.runModelCube(self.logger,self.commonConf['base'],'',self.commonConf['irfs'],True,run)
def runAll(self, run=True):
"""Does a full event selection and exposure calculation. This
is the function called when this module is run from the
command line. You need to have two files to start with:
<basename>.list and <basename>_SC.fits. The first one is just
a text file with a list of the raw data files (one per line)
and the other is the spacecraft file. <basename> is a user
defined prefix (usually the source name but not necissarily).
Returns an exception if any of the files are not found."""
self.logger.info("***Checking for files***")
try:
qU.checkForFiles(self.logger,[self.commonConf['base']+".list",self.commonConf['base']+"_SC.fits"])
except(qU.FileNotFound):
self.logger.critical("One or more needed files do not exist")
sys.exit()
self.logger.info("***Running gtselect***")
self.runSelect(run)
self.logger.info("***Running gtmktime***")
self.runGTI(run)
self.logger.info("***Running gtltcube***")
self.runLTCube(run)
if(self.commonConf['binned']):
self.logger.info("***Running gtbin***")
self.runCCUBE(run)
self.logger.info("***Running gtexpcube2***")
self.runExpCube(run)
self.logger.info("***Running gtsrcMaps***")
self.runSrcMaps(run)
else:
self.logger.info("***Running gtexpmap***")
self.runExpMap(run)
