Issue when using numpy.float64 numbers for the parameters in sunxspex.emission.bremsstrahlung_thick_target as it ends up returning all nans and infs. Weirdly, rounding to 15 decimal places with the values that return nans and infs fixes this.
I've "fixed" this in sunxspex.sunxspex_fitting.photon_models_for_fitting.thick_fn by taking the inputs and rounding to 15 decimal places via np.round([total_eflux, index, e_c], 15) but obviously this isn't ideal.
I will come back and add more detail when I find and log values that produce this weird behaviour but wanted it mentioned somewhere so it doesn't get lost.
Describe the bug
Issue when using
numpy.float64numbers for the parameters insunxspex.emission.bremsstrahlung_thick_targetas it ends up returning allnansandinfs. Weirdly, rounding to 15 decimal places with the values that returnnansandinfsfixes this.I've "fixed" this in
sunxspex.sunxspex_fitting.photon_models_for_fitting.thick_fnby taking the inputs and rounding to 15 decimal places vianp.round([total_eflux, index, e_c], 15)but obviously this isn't ideal.I will come back and add more detail when I find and log values that produce this weird behaviour but wanted it mentioned somewhere so it doesn't get lost.
To Reproduce
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Screenshots
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System Details
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Installation method
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