Пример #1
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    def _spectrum_function(self):
        spec = np.zeros(len(self.energy_intervals))
        spec_err = np.zeros_like(spec)
        for i, eint in enumerate(self.energy_intervals):
            lc = self._construct_lightcurves(eint, exclude=False,
                                             only_base=True)

            spec[i], spec_err[i] = excess_variance(lc, self.normalization)

        return spec, spec_err
Пример #2
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    def _spectrum_function(self):
        spec = np.zeros(len(self.energy_intervals))
        spec_err = np.zeros_like(spec)
        for i, eint in enumerate(self.energy_intervals):
            lc = self._construct_lightcurves(eint, exclude=False,
                                             only_base=True)

            spec[i], spec_err[i] = excess_variance(lc, self.normalization)

        return spec, spec_err
Пример #3
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def evar_fun(lc):
    from stingray.utils import excess_variance
    return excess_variance(lc, normalization='none')
Пример #4
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def evar_fun(lc):
    from stingray.utils import excess_variance
    return excess_variance(lc, normalization='none')
Пример #5
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def excvar_norm(lc):
    return excess_variance(lc, normalization='norm_xs')
Пример #6
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def fvar(lc):
    return excess_variance(lc, normalization='fvar')
Пример #7
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 def excvar(lc):
     from stingray.utils import excess_variance
     return excess_variance(lc, normalization='fvar')
Пример #8
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 def excvar(lc):
     from stingray.utils import excess_variance
     return excess_variance(lc, normalization='fvar')