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NEMESISPY: A Python package for simulating and retrieving exoplanetary spectra

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arxiv 2407.06932 v1 pith:KPF4AVH3 submitted 2024-07-09 astro-ph.EP astro-ph.IMphysics.ao-ph

classification astro-ph.EPastro-ph.IMphysics.ao-ph
keywords nemesispyatmosphericretrievalsappliedbeendataexoplanetaryjupiter
verification ladder T0 review T1 audit T2 compute T3 formal
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NEMESISPY is a Python package developed to perform parametric atmospheric modelling and radiative transfer calculation for the retrievals of exoplanetary spectra. It is a recent development of the well-established Fortran NEMESIS library (P. G. J. Irwin et al., 2008), which has been applied to the atmospheric retrievals of both solar system planets and exoplanets employing numerous different observing geometries. NEMESISPY can be easily interfaced with Bayesian inference algorithms to retrieve atmospheric properties from spectroscopic observations. Recently, NEMESISPY has been applied to the retrievals of Hubble and Spitzer data of a hot Jupiter (Yang et al., 2023), as well as to JWST/Mid-Infrared Instrument (JWST/MIRI) data of a hot Jupiter (Yang et al., 2024).

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