exoatlas: friendly Python code for exoplanet populations
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866911036078030848 |
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| author | Berta-Thompson, Zach K. Wachiraphan, Patcharapol Stephens, Autumn Caradonna, Mirielle Murray, Catriona Arriero, Valerie Avery, Jackson Duvvuri, Girish M. Pineda, Sebastian |
| author_facet | Berta-Thompson, Zach K. Wachiraphan, Patcharapol Stephens, Autumn Caradonna, Mirielle Murray, Catriona Arriero, Valerie Avery, Jackson Duvvuri, Girish M. Pineda, Sebastian |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_02210 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | exoatlas: friendly Python code for exoplanet populations Berta-Thompson, Zach K. Wachiraphan, Patcharapol Stephens, Autumn Caradonna, Mirielle Murray, Catriona Arriero, Valerie Avery, Jackson Duvvuri, Girish M. Pineda, Sebastian Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics 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. |
| title | exoatlas: friendly Python code for exoplanet populations |
| topic | Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics |
| url | https://arxiv.org/abs/2507.02210 |