TL;DR
Foam is an open-source Python package that streamlines forward asteroseismic modelling of gravity modes in stars, enabling flexible, automated comparison of theoretical models with observed stellar oscillation data.
Contribution
It introduces Foam, a versatile Python tool that automates and enhances the process of matching stellar models to observed gravity mode frequencies, filling a gap in accessible computational resources.
Findings
Automates a significant part of asteroseismic modelling process.
Allows flexible methodologies for matching models to observations.
Supports rigorous statistical comparison using nested subgrids.
Abstract
Asteroseismology, the study of stellar pulsations, offers insights into the internal structures and evolution of stars. Analysing the variations in a star's brightness allows the determination of fundamental properties such as mass, radius, age, and chemical composition. Asteroseismology heavily relies on computational tools, but a significant number of them are closed-source, thus inaccessible to the broader astronomic community. This manuscript presents Foam, a Python package designed to perform forward asteroseismic modelling of stars exhibiting gravity modes. It automates and streamlines a considerable fraction of the modelling process, comparing grids of theoretical stellar models and their oscillation frequencies to observed frequency sets in stars. Foam offers the flexibility to employ diverse modelling approaches, allowing users to choose different methodologies for matching…
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