pyLikelihood Function Parameters
To be provided by the SME; in the meantime, please contact helpsoft if you have a question.
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addSource(src) |
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covariance |
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like.fit(covar=True)??????? |
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deleteSource(srcName) |
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disp |
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energies |
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energyFlux(srcName, emin=100, emax=3e5)??????? |
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energyFluxError(srcName, emin=100, emax=3e5, npts=1000)??????? |
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fit(verbosity=3, tol=None, optimizer=None, covar=False, optObject=None) |
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flux(srcName, emin=100, emax=3e5, energyFlux=False)??????? |
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fluxError(srcName, emin=100, emax=3e5, energyFlux=False, npts=1000) ??? |
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freePars |
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freeze(i) |
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getExtraSourceAttributes |
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logLike |
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['Mcmc', ... 'write_fluxXml'] |
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maxdist |
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model |
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['add', 'delete', 'logLike', 'params', 'printFreeOnly', 'srcNames', 'srcs'] |
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nobs |
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Number of observations. |
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['T', ... 'view'] |
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normPar |
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NpredValue |
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observation |
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['checkCuts', 'eventFiles', 'expCube', 'expMap', 'irfs', 'observation', 'scFiles', 'sctable', 'state'] |
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oplot(color=None) |
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optObject |
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['getMaxEval', 'getRetCode', 'getUncertainty', 'put', 'setMaxEval', 'stat', 'this'] |
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optimize |
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optimizer = DRMNGB <MINUIT|DRMNGB|LBFGS> [string] |
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Optimizer package to use. The options are: DRMNFB, NEWMINUIT, MINUIT,
DRMNGB, LBFGS. See MODEL FITTING section in this document for details. |
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params |
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plot(oplot=0, color=None, omit=()) |
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plotSource(srcName, color='black',symbol='line')??????? |
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resids |
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restoreBestFit |
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saveCurrentFit |
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setFitTolType(tolType) ??????? |
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setFreeFlag |
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setPlotter(plotter='hippo') |
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sourceNames |
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srcModel [file] |
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XML file containing the source model definitions. |
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state |
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syncSrcParams |
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thaw(i) |
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tol |
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tolType |
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Ts(srcName, reoptimize=False, approx=True, tol=None) |
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Test Statistic. |
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writeCountsSpectra(outfile='counts_spectra.fits') |
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writeXml(xmlFile=None) |
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