PBjam: A Python Package for Automating Asteroseismology of Solar-like 
Oscillators

Nielsen, M. B.; Davies, G. R.; Ball, W. H.; Lyttle, A. J.; Li, T.; Hall, O. J.; Chaplin, W. J.; Gaulme, Patrick; Carboneau, L.; Ong, J. M. J.; García, R. A.; Mosser, B.; Roxburgh, I. W.; Corsaro, E.; Benomar, O.; Moya, A.; Lund, M. N.

doi:10.3847/1538-3881/abcd39

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PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators

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Gaulme, Patrick
Department Solar and Stellar Interiors, Max Planck Institute for Solar System Research, Max Planck Society;

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Citation

Nielsen, M. B., Davies, G. R., Ball, W. H., Lyttle, A. J., Li, T., Hall, O. J., et al. (2021). PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators. Astronomical Journal, 161(2): 62. doi:10.3847/1538-3881/abcd39.

Cite as: https://hdl.handle.net/21.11116/0000-0008-3874-7

Abstract

Asteroseismology is an exceptional tool for studying stars using the properties of observed modes of oscillation. So far the process of performing an asteroseismic analysis of a star has remained somewhat esoteric and inaccessible to nonexperts. In this software paper we describe PBjam, an open-source Python package for analyzing the frequency spectra of solar-like oscillators in a simple but principled and automated way. The aim of PBjam is to provide a set of easy-to-use tools to extract information about the radial and quadropole oscillations in stars that oscillate like the Sun, which may then be used to infer bulk properties such as stellar mass, radius, age, or even structure. Asteroseismology and its data analysis methods are becoming increasingly important as space-based photometric observatories are producing a wealth of new data, allowing asteroseismology to be applied in a wide range of contexts such as exoplanet, stellar structure and evolution, and Galactic population studies.