We find ourselves in a remarkable era in exoplanetary research, with an extensive array of observed exoplanets. On one end of the spectrum, we have a substantial cohort of transiting planets, while on the other, the number of directly imaged exoplanets is steadily increasing. This dynamic landscape presents an enduring challenge in our modeling endeavors. To advance our understanding, it is imperative that we adeptly account for the range of observables associated with these exoplanets, all while maintaining an overview across the entire exoplanetary population.

One of the main science questions addressed by missions such as JWST [1] [2] or Ariel [3] is to understand what exoplanets are made of. Measuring the atmospheric composition could enable us to break down the degeneracies concerning the interior of exoplanets based on mass and radius measurements. In pursuit of this goal, we introduce a novel approach: the fusion of an interior model, Exoris, with an atmospheric counterpart, Exorem, into a self-consistent atmosphere-interior model. This integration enables us to establish precise connections between the observed spectra during transit and emission, and the fundamental properties of these bodies, such as mass and radius. This approach, grounded in physical principles, not only enhances our capacity for retrieval but also guards against the emergence of non-physical or implausible solutions. With our coupled model, we also revisit the analysis by Thorngren & Fortney on the radius inflation of hot Jupiter's [4][5]. Our atmosphere-interior retrieval model could be applied to spectral observations to derive statistical properties concerning the interior of exoplanets. 

In this study, we present the outcomes of our unified model, shedding light on 1) the radius inflation of hot Jupiters, 2) the interior properties of WASP-39 b [6] from JWST observations [7], 3) the formation mechanism of 51 Eri b [8] from SPHERE/GPI observations. In closing, we deliberate on the promising prospects and implications of this model for the broader exoplanetary research landscape.

[1] Greene et al. 2019

[2] Beichman et al. 2019

[3] Tinetti et al. 2020

[4] Thorngren et al. (2018)

[5] Thorngren et al. (2019)

[6] Faedi et al. (2011)

[7] Ahrer et al. (2023)

[8] Macintosh et al. (2015)