ExoJAX 2.0
pip install ExoJAX
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Auto-differentiable line-by-line spectral modeling of exoplanets/brown dwarfs using JAX.
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- License: MIT
- Author: Hajime Kawahara and collaborators
- Maintainer: Hajime Kawahara and collaborators
- Requires: Python >=3.9
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Project description
ExoJAX
Differentiable spectral modelling of exoplanets/brown dwarfs/M dwarfs using JAX! Read the docs 🐕.
In short, ExoJAX allows you to do gradient based optimizations, HMC-NUTS, and SVI using the latest database.
ExoJAX Classes
- Databases: *db (mdb: molecular, adb: atomic, cdb: continuum, pdb: particulates)
- Opacity Calculators: opa (Voigt profile, CIA, Mie, Rayleigh scattering etc)
- Atmospheric Radiative Transfer: art (emission w, w/o scattering, reflection, transmission)
- Spectral Operator: sop (planet rotation, instrumental broadening, photometry)
- Atmospheric Microphysics: amp (clouds etc)
License
🐈 Copyright 2020-2025 ExoJAX contributors. ExoJAX is publicly available under the MIT license.
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT
- Author: Hajime Kawahara and collaborators
- Maintainer: Hajime Kawahara and collaborators
- Requires: Python >=3.9
Classifiers
- Operating System
- Programming Language
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