NEMESISPY: A Python Package For Simulating And Retrieving Exoplanetary Spectra
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).
https://github.com/Jingxuan97/nemesispy
Jingxuan Yang, Juan Alday, Patrick Irwin
Comments: Under review at the Journal of Open Source Software. Project website: this https URL
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Atmospheric and Oceanic Physics (physics.ao-ph)
Cite as: arXiv:2407.06932 [astro-ph.EP] (or arXiv:2407.06932v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2407.06932
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Submission history
From: Jingxuan Yang Mr
[v1] Tue, 9 Jul 2024 15:07:52 UTC (105 KB)
https://arxiv.org/abs/2407.06932
Astrobiology,
