The present and the future of modeling eclipsing binary systems

TL;DR

This paper discusses current and future methods for modeling eclipsing binary stars, emphasizing the importance of tailored approaches for individual systems versus large datasets, and highlights tools like PHOEBE and PHOEBAI.

Contribution

It clarifies the distinction between modeling approaches for individual objects and large datasets, proposing specific tools for each purpose.

Findings

PHOEBE is effective for detailed individual system analysis.

PHOEBAI enables efficient bulk analysis of large datasets.

Different motivations underpin individual versus bulk modeling approaches.

Abstract

In September 2024, eclipsing binary star practitioners gathered in Litomysl, Czech Republic, the birth town of Zdenek Kopal, one of the most celebrated pioneers of our field, to discuss the latest developments and state-of-the-art. I was invited to present my own biased view of the present and the future of modeling eclipsing binary stars. In this contribution I attempt to make a clear distinction between approaches that are suited to individual objects and approaches that aim to deliver bulk results for large datasets. I stress that our motivation should be different: individual system analysis is warranted whenever there is potential to propose or improve our understanding of the underlying physics, while bulk analysis should be used to probe stellar formation and evolution channels. I briefly discuss two examples of tools to achieve the goals: PHOEBE for individual system analysis, and PHOEBAI for bulk analysis.