Alexander Ziegler / gammalib

These methods allow saving a spatial diffuse cube into a FITS file or FITS object.

…s only used for Monte Carlo simulation and has a quite specific behaviour.

The norm() method has been added to the abstract GModelSpatial interface that returns the model normalization within a circular region. This is used in the GModelSky::mc method to correctly reflect the normalization specified in the XML file. The method is also used to flag sources outside the simulation cone (applies so for the point sources, radial source and elliptical sources).

The map cube is now only loaded when its values should be accessed.

…ky directions returned by mc() to all pixels that touch a circular region. In addition, only pixels of which the centre falls within the circular region are considered for determining the spectral node function.

Note that this method affects the Monte Carlo cache.

The map cube is no longer normalised, but the values are taken as given. It is assumed that the map cube pixels are given in units of ph/cm2/s/sr/MeV.

The eval() and eval_gradients() methods now provide interpolation of the maps in energy. For this purpose, the energy values of the maps are stored in log10(energy) in the m_logE member node array.

The mc() method has now also been implemented. It takes the nearest map from the map cube and returns a random sky direction following the intensity distribution of this map.

A spectrum() method has been implemented that returns the spatially integrated intensity of each map in the map cube as a GModelSpectralNodes object. This method is used in GModelSky for Monte Carlo simulations.

The eval() and eval_gradients() methods now take a GPhoton object as argument to allow the implementation of energy and time dependent source morphologies.

GEnergy and GTime objects have been added to the mc() method interface to support equally the implementation of energy and time dependent source morphologies.

So far, no class really implements energy and time dependent source morphologies, but now we have the infrastructure to do so.

All diffuse spatial models are now derived from GModelSpatialDiffuse and named GModelSpatialDiffuseXXX.