get_photon_flux_hist

sherpa.astro.ui.get_photon_flux_hist(lo=None, hi=None, id=None, num=7500, bins=75, correlated=False, numcores=None, bkg_id=None, **kwargs)

Return the data displayed by plot_photon_flux.

Parameters:
  • lo (number, optional) – The lower limit to use when summing up the signal. If not given then the lower value of the data grid is used.
  • hi (optional) – The upper limit to use when summing up the signal. If not guven then the upper value of the data grid is used.
  • id (int or string, optional) – The identifier of the data set to use. The default value (None) means that the default identifier, as returned by get_default_id, is used.
  • num (int, optional) – The number of samples to create. The default is 7500.
  • bins (int, optional) – The number of bins to use for the histogram.
  • correlated (bool, optional) – If True (the default is False) then scales is the full covariance matrix, otherwise it is just a 1D array containing the variances of the parameters (the diagonal elements of the covariance matrix).
  • numcores (optional) – The number of CPU cores to use. The default is to use all the cores on the machine.
  • bkg_id (int or string, optional) – The identifier of the background component to use. This should only be set when the line to be measured is in the background model.
  • scales (array, optional) – The scales used to define the normal distributions for the parameters. The form depends on the correlated parameter: when True, the array should be a symmetric positive semi-definite (N,N) array, otherwise a 1D array of length N, where N is the number of free parameters.
  • recalc (bool, optional) – If True, the default, then re-calculate the values rather than use the values from the last time the function was run.
Returns:

hist – An object representing the data used to create the plot by plot_photon_flux.
Return type:

a sherpa.astro.plot.PhotonFluxHistogram instance

See also

get_energy_flux_hist()
Return the data displayed by plot_energy_flux.
plot_energy_flux()
Display the energy flux distribution.
plot_photon_flux()
Display the photon flux distribution.
sample_energy_flux()
Return the energy flux distribution of a model.
sample_flux()
Return the flux distribution of a model.
sample_photon_flux()
Return the photon flux distribution of a model.

Examples

>>> phist = get_photon_flux_hist(0.5, 7, num=1000)

>>> phist1 = get_photon_flux_hist(0.5, 2, id="jet", num=1000)
>>> phist2 = get_photon_flux_hist(0.5, 2, id="core", num=1000)