Colour-magnitude diagrams of transiting Exoplanets -- III. A public code, nine strange planets, and the role of Phosphine
Georgina Dransfield, Amaury H.M.J Triaud

TL;DR
This paper introduces a Python toolkit for creating colour-magnitude diagrams of transiting exoplanets, compares observed data with models, and explores the role of phosphine in planetary atmospheres, aiding in classification and future observations.
Contribution
A new Python toolkit for generating colour-magnitude diagrams of exoplanets, including analysis of atmospheric features like phosphine and a novel photometric band for C/O ratio estimation.
Findings
Outliers in colour-magnitude diagrams can be identified for further study.
Differences in Spitzer 4.5μm flux may be due to phosphine absorption.
The W_{JH}-H colour index can constrain the C/O ratio of exoplanets.
Abstract
Colour-Magnitude Diagrams provide a convenient way of comparing populations of similar objects. When well populated with precise measurements, they allow quick inferences to be made about the bulk properties of an astronomic object simply from its proximity on a diagram to other objects. We present here a Python toolkit which allows a user to produce colour-magnitude diagrams of transiting exoplanets, comparing planets to populations of ultra-cool dwarfs, of directly imaged exoplanets, to theoretical models of planetary atmospheres, and to other transiting exoplanets. Using a selection of near- and mid-infrared colour-magnitude diagrams, we show how outliers can be identified for further investigation, and how emerging sub-populations can be identified. Additionally, we present evidence that observed differences in the \textit{Spitzer}'s 4.5\mu m flux, between irradiated Jupiters, and…
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