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Published December 2022 | public
Journal Article

The Detectability of Rocky Planet Surface and Atmosphere Composition with the JWST: The Case of LHS 3844b

Abstract

The spectroscopic characterization of terrestrial exoplanets over a wide spectral range from the near- to the mid-infrared will be made possible for the first time with the JWST. One challenge is that it is not known a priori whether such planets possess optically thick atmospheres or even any atmospheres altogether. However, this challenge also presents an opportunity, the potential to detect the surface of an extrasolar world. This study explores the feasibility of characterizing with the JWST the atmosphere and surface of LHS 3844b, the highest signal-to-noise rocky thermal emission target among planets that are cool enough to have nonmolten surfaces. We model the planetary emission, including the spectral signal of both the atmosphere and surface, and we explore all scenarios that are consistent with the existing Spitzer 4.5 μm measurement of LHS 3844b from Kreidberg et al. In summary, we find a range of plausible surfaces and atmospheres that are within 3σ of the observationless reflective metal-rich, iron-oxidized, and basaltic compositions are allowed, and atmospheres are restricted to a maximum thickness of 1 bar, if near-infrared absorbers at ≳100 ppm are included. We further make predictions on the observability of surfaces and atmospheres and find that a small number (∼3) of eclipse observations should suffice to differentiate between surface and atmospheric features. We also perform a Bayesian retrieval analysis on simulated JWST data and find that the surface signal may make it harder to precisely constrain the abundance of atmospheric species and may falsely induce a weak H₂O detection.

Additional Information

This study has been conducted as part of the NASA Exoplanets Research Program, grant No. 80NSSC20K0269 (PI: M.Malik). E.M.-R.K. and J.I. acknowledge support from the National Science Foundation under CAREER grant No.1931736 and from the AEThER program, funded by the Alfred P. Sloan Foundation under grant G202114194. M.M. acknowledges support from the NASA Hubble Fellowship grant HST-HF2-51485.001-A awarded by STScI. Part of the research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. This research has made use of the SVO Filter Profile Service (http://svo2.cab.inta-csic.es/theory/fps/) supported from the Spanish MINECO through grant AYA2017-84089. Software: astropy (Price-Whelan et al. 2018), CUDA (Nickolls et al. 2008), HELIOS (Malik et al. 2017,2019a, 2019b), HELIOS-K (Grimm & Heng 2015; Grimm et al. 2021), Matplotlib (Hunter 2007), NumPy (van der Walt et al. 2011), Pandexo (Batalha et al. 2017), PLATON (Zhang et al. 2019, 2020) PyCUDA (Klöckner et al. 2012) SciPy (Oliphant 2007).

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023