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exoatlas: friendly Python code for exoplanet populations

exoatlas: friendly Python code for exoplanet populations

来源:Arxiv_logoArxiv
英文摘要

Planets are complicated. Understanding how they work requires connecting individual objects to the context of broader populations. Exoplanets are easier to picture next to their closest Solar System archetypes, and planets in the Solar System are richer when seen alongside a growing community of known exoplanets in the Milky Way. The `exoatlas` toolkit provides a friendly Python interface for retrieving and working with populations of planets, aiming to simplify the process of placing worlds in context.

Zach K. Berta-Thompson、Patcharapol Wachiraphan、Autumn Stephens、Mirielle Caradonna、Catriona Murray、Valerie Arriero、Jackson Avery、Girish M. Duvvuri、Sebastian Pineda

天文学

Zach K. Berta-Thompson,Patcharapol Wachiraphan,Autumn Stephens,Mirielle Caradonna,Catriona Murray,Valerie Arriero,Jackson Avery,Girish M. Duvvuri,Sebastian Pineda.exoatlas: friendly Python code for exoplanet populations[EB/OL].(2025-07-03)[2025-08-02].https://arxiv.org/abs/2507.02210.点此复制

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