def set_energy_range(self, logemin, logemax):
        """Set the energy range of the analysis.

        Parameters
        ----------
        logemin: float
           Lower end of energy range in log10(E/MeV).

        logemax : float
           Upper end of energy range in log10(E/MeV).

        """

        if logemin is None:
            logemin = self.log_energies[0]

        if logemax is None:
            logemax = self.log_energies[-1]

        imin = int(utils.val_to_edge(self.log_energies, logemin)[0])
        imax = int(utils.val_to_edge(self.log_energies, logemax)[0])

        if imin - imax == 0:
            imin = int(len(self.log_energies) - 1)
            imax = int(len(self.log_energies) - 1)

        klims = self.like.logLike.klims()
        if imin != klims[0] or imax != klims[1]:
            self.like.selectEbounds(imin, imax)

        return np.array([self.log_energies[imin], self.log_energies[imax]])
def set_energy_range ( self , logemin , logemax ) : if logemin is None : logemin = self . log_energies [ 0 ] if logemax is None : logemax = self . log_energies [ - 1 ] imin = int ( utils . val_to_edge ( self . log_energies , logemin ) [ 0 ] ) imax = int ( utils . val_to_edge ( self . log_energies , logemax ) [ 0 ] ) if imin - imax == 0 : imin = int ( len ( self . log_energies ) - 1 ) imax = int ( len ( self . log_energies ) - 1 ) klims = self . like . logLike . klims ( ) if imin != klims [ 0 ] or imax != klims [ 1 ] : self . like . selectEbounds ( imin , imax ) return np . array ( [ self . log_energies [ imin ] , self . log_energies [ imax ] ] )
Set the energy range of the analysis.

        Parameters
        ----------
        logemin: float
           Lower end of energy range in log10(E/MeV).

        logemax : float
           Upper end of energy range in log10(E/MeV).