Advanced configuration

Selection

Option	Type	Default	Required	Description
lonpole	int	180	no
lpointing	float	TBD	no	l in Galactic coordinates of the center of the pointing during the ‘pointing period’
bpointing	float	TBD	no	b in Galactic coordinates of the center of the pointing during the ‘pointing period’
maplistgen	string	TBD	no	filename of a file for expmapgen with mapspec.fovradmin >> mapspec.fovradmax >> mapspec.emin >> mapspec.emax >> mapspec.index

Maps

Option	Type	Default	Required	Description
offaxisangle	float	30	No	Off axis pointing for mle analysis. Values are between 0 and 60 deg. Agilepy into .maplist

Model

Option	Type	Default	Required	Description
galmode2	int	0	No	Fix the gal parameters using the internal analysis of the MLE. 0) gal0 and gal1 are kept free 1) set gal0 for L0 and gal1 for L1 2) set gal0 for L0 and L1 3) set gal1 for L0 and L1 4) set gal1 - gal1err for L0 and L1 5) set gal1 + gal1err for L0 and L1
galmode2fit	int	0	No	Fix the gal parameters for different energy bins performing a linear fit of gal values evaluated using the internal analysis of the MLE. 0) do not fit 1) pol0 fit 2) powerlaw fit
isomode2	int	0	No	Fix the iso parameters using the internal analysis of the MLE. 0) none 1) set iso0 for L0 and gal1 for L1 2) set iso0 for L0 and L1 3) set iso1 for L0 and L1 4) set iso1 - iso1err for L0 and L1 5) set iso1 + iso1err for L0 and L1
isomode2fit	int	0	No	Fix the iso parameters for different energy bins performing a linear fit of iso values evaluated using the internal analysis of the MLE. 0) do not fit 1) pol0 fit 2) powerlaw fit

mle

Advanced options for optimizer

Option	Type	Default	Required	Description
minimizertype	string	Minuit	No	Use Minuit if position is free. For other values see below.
minimizeralg	string	Migrad	No	For other values see below.
minimizerdefstrategy	int	2	No	Default 2 for Minuit. For other values see below.
mindefaulttolerance	float	0.01	No	See below.
integratortype	int	1	No	1 gauss 2 gaussht 3 gausslefevre 4 gausslefevreht
contourpoints	int	40	No	Number of points to determine the contour (0-400).

minimizertype = Minuit (library libMinuit). Old version of Minuit, based on the TMinuit class. The list of possible algorithms (minimizeralg) are:

1) Migrad (default one)

2) Simplex

3) Minimize (it is a combination of Migrad and Simplex)

4) MigradImproved

5) Scan

6) Seek

minimizertype = Minuit2 (library libMinuit2). New C++ version of Minuit. The list of the possible algorithms (minimizeralg) :

1) Migrad (default)

2) Simplex

3) Minimize

4) Scan

minimizertype = Fumili . This is the same algorithm of TFumili, but implemented in the Minuit2 library.

minimizertype = GSLMultiMin (library libMathMore). Minimizer based on the Multidimensional Minimization routines of the Gnu Scientific Library (GSL). The list of available algorithms (minimizeralg) is | 1) BFGS2 (default) : second version of the vector Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm; | 2) BFGS : old version of the vector Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm; | 3) ConjugateFR : Fletcher-Reeves conjugate gradient algorithm; | 4) ConjugatePR : Polak-Ribiere conjugate gradient algorithm; | 5) SteepestDescent: steepest descent algorithm;

#*** * GSLMultiFit (library libMathMore). Minimizer based on the Non-Linear Least-Square routines of GSL. This minimizer can be used only for least-square fits.

#*** * GSLSimAn (library libMathMore). Minimizer based on simulated annealing.

#*** * Genetic (library libGenetic). Genetic minimizer based on an algorithm implemented in the TMVA package.

Each minimizer can be configured using the ROOT::Math::MinimizerOptions class. The list of possible option that can be set are:

minimizertype:

Minimizer type (MinimizerOptions::SetMinimizerType(const char * )) .

* Print Level (MinimizerOptions::SetPrintLevel(int )) to set the verbose printing level (default is 0).

mindefaulttolerance:

* Tolerance (MinimizerOptions::SetTolerance(double )) tolerance used to control the iterations.

* Precision (MinimizerOptions::SetTolerance(double )). Precision value in the evaluation of the minimization function. Default is numerical double precision.

• Maximum number of function calls (MinimizerOptions::SetMaxFunctionCalls(int )).

• Maximum number of iterations (MinimizerOptions::SetMaxIterations(int )). Note that this is not used by Minuit. FCN Upper value for Error Definition (MinimizerOptions::SetMaxIterations(int )). Value in the minimization function used to compute the parameter errors. The default is to get the uncertainties at the 68% CL is a value of 1 for a chi-squared function minimization and 0.5 for a log-likelihood function.

minimizerdefstrategy:

* Strategy (MinimizerOptions::SetStrategy(int )), minimization strategy used. For each minimization strategy Minuit uses different configuration parameters (e.g. different requirements in computing derivatives, computing full Hessian (strategy = 2) or an approximate version. The default is a value of 1. In this case the full Hessian matrix is computed only after the minimization.

Advanced options for internal corrections

Option	Type	Default	Required	Description
edpcorrection	float	0.75	No	Perform a flux correction based on EDP evaluation for highest energy channels. Default 0.75, otherwise any value between 0 and 1. EDP correction is enabled only for E>1000 MeV and if fluxcorrection=1, and only for point sources. flux = flux * edpcorrection
fluxcorrection	int	0	No	Perform a flux correction of the flux using the source spectral model and considering that the exposure is calculated with a Power Law with spectral index of 2.1. 0) no correction 1) Flux calculation correction for spectral shape in output 2) correction in input and output