exoatlas: friendly Python code for exoplanet populations

2025/07/03 by Berta-Thompson, Zach K., Wachiraphan, Patcharapol, Stephens, Autumn +6
#Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Solar and Stellar Astrophysics (astro-ph.SR)

paper · doi:10.48550/arxiv.2507.02210

Abstract

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.

Citations

• The NASA Exoplanet Archive and Exoplanet Follow-up Observing Program: Data, Tools, and Usage
• The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*
• A proposal for community driven and decentralized astronomical databases and the Open Exoplanet Catalogue

Related

• Exo-MerCat: a merged exoplanet catalog with Virtual Observatory connection
• Discovering new worlds: a review of signal processing methods for detecting exoplanets from astronomical radial velocity data
• poliastro: a Python library for interactive astrodynamics
• Defining and cataloging exoplanets: the exoplanet.eu database
• The Public Photometry Pipelines for Exoplanets