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Predicting Physical Parameters of Cepheid and RR Lyrae variables in an Instant with Machine Learning

Published online by Cambridge University Press:  01 August 2025

A. Bhardwaj Open the ORCID record for A. Bhardwaj [Opens in a new window] ,
E. P. Bellinger Open the ORCID record for E. P. Bellinger [Opens in a new window] ,
S. M. Kanbur  and
M. Marconi
A. Bhardwaj*
Affiliation:
INAF-Osservatorio Astronomico di Capodimonte, Salita Moiariello 16, 80131, Naples, Italy
E. P. Bellinger
Affiliation:
Max Planck Institute for Astrophysics, Karl-Schwarzschild-Straße 1, 85748, Garching, Germany
S. M. Kanbur
Affiliation:
Department of Physics, State University of New York, Oswego, NY 13126, USA
M. Marconi
Affiliation:
INAF-Osservatorio Astronomico di Capodimonte, Salita Moiariello 16, 80131, Naples, Italy
*
email: anupam.bhardwaj@inaf.it
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Abstract

We present a machine learning method to estimate the physical parameters of classical pulsating stars such as RR Lyrae and Cepheid variables based on an automated comparison of their theoretical and observed light curve parameters at multiple wavelengths. We train artificial neural networks (ANNs) on theoretical pulsation models to predict the fundamental parameters (mass, radius, luminosity, and effective temperature) of Cepheid and RR Lyrae stars based on their period and light-curve parameters. The fundamental parameters of these stars can be estimated up to 60 percent more accurately when the light-curve parameters are taken into consideration. This method was applied to the observations of hundreds of Cepheids and thousands of RR Lyrae in the Magellanic Clouds to produce catalogs of estimated masses, radii, luminosities, and other parameters of these stars.

Keywords

stars: variable, Cepheid, RR Lyraegalaxies: Magellanic Cloudscosmology: distance scale

Information

Type
Poster Paper
Information
Proceedings of the International Astronomical Union , Volume 19 , Symposium S368: Machine Learning in Astronomy: Possibilities and Pitfalls , August 2023 , pp. 104 - 106
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Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of International Astronomical Union

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