HyDRA-H: Simultaneous Hybrid Retrieval of Exoplanetary Emission Spectra
Siddharth Gandhi, Nikku Madhusudhan, George Hawker, Anjali Piette

TL;DR
HyDRA-H is a novel Bayesian hybrid retrieval code that combines high- and low-resolution spectra to improve constraints on exoplanet atmospheric composition and temperature profiles, demonstrated on HD 209458b.
Contribution
This work introduces HyDRA-H, the first fully Bayesian hybrid retrieval method that simultaneously analyzes high- and low-resolution exoplanet spectra.
Findings
Hybrid retrieval yields more stringent atmospheric constraints.
Consistent chemical abundances with previous studies.
Demonstrates advantages of combining HRS and LRS data.
Abstract
High-resolution Doppler spectroscopy has been used to detect several chemical species in exoplanetary atmospheres. Such detections have traditionally relied on cross correlation of observed spectra against spectral model templates, an approach that is successful for detecting chemical species but not optimised for constraining abundances. Recent work has explored ways to perform atmospheric retrievals on high-resolution spectra (HRS) and combine them with retrievals routinely performed for low-resolution spectra (LRS) by developing a mapping from the cross correlation function to a likelihood metric. We build upon previous studies and report HyDRA-H, a hybrid retrieval code for simultaneous analysis of low- and high- resolution thermal emission spectra of exoplanets in a fully Bayesian approach. We demonstrate HyDRA-H on the hot Jupiter HD 209458b as a case study. We validate our HRS…
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