exoatlas: friendly Python code for exoplanet populations
Zach K. Berta-Thompson, Patcharapol Wachiraphan, Autumn Stephens, Mirielle Caradonna, Catriona Murray, Valerie Arriero, Jackson Avery, Girish M. Duvvuri, Sebastian Pineda
TL;DR
The paper introduces `exoatlas`, a Python toolkit designed to facilitate the analysis of exoplanet populations by providing easy access and tools to compare exoplanets with Solar System archetypes and among themselves.
Contribution
`exoatlas` offers a user-friendly Python interface that simplifies retrieving and analyzing exoplanet populations, enhancing contextual understanding of planetary data.
Findings
Enables easy comparison of exoplanets with Solar System archetypes
Facilitates population-level analysis of exoplanets
Improves accessibility of exoplanet data for researchers
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.
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