Пример #1
0
 def teardown(self):
     pha = self.pha
     rmf = self.rmf
     self.channel = sao_arange(1, rmf.detchans)
     self.mask = numpy.ones(rmf.detchans, dtype=bool)
     self.model.teardown()
     CompositeModel.teardown(self)
Пример #2
0
 def teardown(self):
     pha = self.pha
     rmf = self.rmf
     self.channel = sao_arange(1, rmf.detchans)
     self.mask = numpy.ones(rmf.detchans, dtype=bool)
     self.model.teardown()
     CompositeModel.teardown(self)
Пример #3
0
    def __init__(self, rmf, model, pha=None):
        self.pha = pha
        self.channel = sao_arange(1, rmf.detchans)  # sao_arange is inclusive
        self.mask = numpy.ones(rmf.detchans, dtype=bool)
        self.rmf = rmf

        self.elo, self.ehi = rmf.get_indep()
        self.lo, self.hi = DataPHA._hc / self.ehi, DataPHA._hc / self.elo
        self.model = model
        self.otherargs = None
        self.otherkwargs = None
        self.pars = ()
        CompositeModel.__init__(self,
                                ('%s(%s)' % ('apply_rmf', self.model.name)),
                                (self.model,))
Пример #4
0
    def __init__(self, rmf, model, pha=None):
        self.pha = pha
        self.channel = sao_arange(1, rmf.detchans)  # sao_arange is inclusive
        self.mask = numpy.ones(rmf.detchans, dtype=bool)
        self.rmf = rmf

        self.elo, self.ehi = rmf.get_indep()
        self.lo, self.hi = DataPHA._hc / self.ehi, DataPHA._hc / self.elo
        self.model = model
        self.otherargs = None
        self.otherkwargs = None
        self.pars = ()
        CompositeModel.__init__(self,
                                ('%s(%s)' % ('apply_rmf', self.model.name)),
                                (self.model, ))
Пример #5
0
    def teardown(self):

        # Note:
        #
        # The pha variable was declared but not used, so has been commented
        # out. It has been kept as a comment for future review, since it
        # is unclear whether anything should be done to the PHA object
        # during teardown
        #
        # pha = self.pha

        rmf = self.rmf
        self.channel = sao_arange(1, rmf.detchans)
        self.mask = numpy.ones(rmf.detchans, dtype=bool)
        self.model.teardown()
        CompositeModel.teardown(self)