Beyond <span style="font-variant: small-caps">mirkwood</span>: Enhancing SED Modeling with Conformal Predictions

Traditional spectral energy distribution (SED) fitting techniques face uncertainties due to assumptions in star formation histories and dust attenuation curves. We propose an advanced machine learning-based approach that enhances flexibility and uncertainty quantification in SED fitting. Unlike the...

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Bibliographic Details

Published in:	Astronomy
Main Author:	Sankalp Gilda
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	machine learning spectral energy distribution conformal predictions uncertainty quantification
Online Access:	https://www.mdpi.com/2674-0346/3/1/2