def startup(self, cache):
rmf = self._rmf # original
# Create a view of original RMF
self.rmf = DataRMF(rmf.name, rmf.detchans, rmf.energ_lo, rmf.energ_hi,
rmf.n_grp, rmf.f_chan, rmf.n_chan, rmf.matrix,
rmf.offset, rmf.e_min, rmf.e_max, rmf.header)
# Filter the view for current fitting session
_notice_resp(self.pha.get_noticed_channels(), None, self.rmf)
self.filter()
# Assume energy as default spectral coordinates
self.xlo, self.xhi = self.elo, self.ehi
if self.pha.units == 'wavelength':
self.xlo, self.xhi = self.lo, self.hi
RMFModel.startup(self, cache)
def startup(self):
rmf = self._rmf # original
# Create a view of original RMF
self.rmf = DataRMF(rmf.name, rmf.detchans, rmf.energ_lo, rmf.energ_hi,
rmf.n_grp, rmf.f_chan, rmf.n_chan, rmf.matrix,
rmf.offset, rmf.e_min, rmf.e_max, rmf.header)
# Filter the view for current fitting session
_notice_resp(self.pha.get_noticed_channels(), None, self.rmf)
self.filter()
# Assume energy as default spectral coordinates
self.xlo, self.xhi = self.elo, self.ehi
if self.pha.units == 'wavelength':
self.xlo, self.xhi = self.lo, self.hi
RMFModel.startup(self)
def startup(self):
arf = self._arf
rmf = self._rmf
# Create a view of original RMF
self.rmf = DataRMF(rmf.name, rmf.detchans, rmf.energ_lo, rmf.energ_hi,
rmf.n_grp, rmf.f_chan, rmf.n_chan, rmf.matrix,
rmf.offset, rmf.e_min, rmf.e_max, rmf.header)
# Create a view of original ARF
self.arf = DataARF(arf.name, arf.energ_lo, arf.energ_hi, arf.specresp,
arf.bin_lo, arf.bin_hi, arf.exposure, arf.header)
# Filter the view for current fitting session
_notice_resp(self.pha.get_noticed_channels(), self.arf, self.rmf)
self.filter()
# Assume energy as default spectral coordinates
self.xlo, self.xhi = self.elo, self.ehi
if self.pha.units == 'wavelength':
self.xlo, self.xhi = self.lo, self.hi
RSPModel.startup(self)