[ascl:1904.011]
FortesFit: Flexible spectral energy distribution modelling with a Bayesian backbone
FortesFit efficiently explores and discriminates between various spectral energy distributions (SED) models of astronomical sources. The Python package adds Bayesian inference to a framework that is designed for the easy incorporation and relative assessment of SED models, various fitting engines, and a powerful treatment of priors, especially those that may arise from non-traditional wave-bands such as the X-ray or radio emission, or from spectroscopic measurements. It has been designed with particular emphasis for its scalability to large datasets and surveys.
- Code site:
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https://pypi.org/project/fortesfit/
https://github.com/vikalibrate/FortesFit
- Used in:
-
https://ui.adsabs.harvard.edu/abs/2018MNRAS.473.5658R
- Bibcode:
- 2019ascl.soft04011R