https://github.com/exoclime/helios

GPU-Accelerated Radiative Transfer Code For Exoplanetary Atmospheres
https://github.com/exoclime/helios

Last synced: 3 months ago
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GPU-Accelerated Radiative Transfer Code For Exoplanetary Atmospheres

• Host: GitHub
• URL: https://github.com/exoclime/helios
• Owner: exoclime
• License: gpl-3.0
• Created: 2015-01-23T11:05:34.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2023-11-25T18:41:42.000Z (12 months ago)
• Last Synced: 2024-05-22T20:34:50.350Z (6 months ago)
• Language: Python
• Homepage: https://heliosexo.readthedocs.io/en/latest/
• Size: 67.9 MB
• Stars: 34
• Watchers: 14
• Forks: 15
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: license.txt

Awesome Lists containing this project

• awesome-spectra - HELIOS

README

        
# HELIOS v3.1 #

#### A GPU-ACCELERATED RADIATIVE TRANSFER CODE FOR EXOPLANETARY ATMOSPHERES ####

###### Copyright (C) 2018 - 2022 Matej Malik ######

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

### About ###

HELIOS is an open-source radiative transfer code, which is constructed for studying exoplanetary atmospheres in their full variety. The model atmospheres are one-dimensional and plane-parallel, and the equation of radiative transfer is solved in the hemispheric two-stream approximation with non-isotropic scattering. For given opacities and planetary parameters, HELIOS finds the atmospheric temperature profile in radiative-convective equilibrium and the corresponding planetary emission spectrum.

HELIOS is part of the Exoclimes Simulation Platform ([ESP](http://www.exoclime.org)).

If you use HELIOS for your own work, please cite its two method papers: [Malik et al. 2017](http://ui.adsabs.harvard.edu/abs/2017AJ....153...56M) and [Malik et al. 2019a](https://ui.adsabs.harvard.edu/abs/2019AJ....157..170M). If you use the solid surface feature, please also cite the papers describing its implementation, namely [Malik et al. 2019b](https://ui.adsabs.harvard.edu/abs/2019ApJ...886..142M) and [Whittaker et al. 2022](https://arxiv.org/abs/2207.08889).

Any questions, issues or bug reports are appreciated and can be sent to *[email protected]*.

Thank you for considering HELIOS!

### New version 3.0 --- released July 2022 ###

New features include:

- option to add a non-gray surface albedo, self-consistently incorporated into the atmospheric RT (with option to run a bare-rock case without atmosphere).

- option to mix opacities on-the-fly instead of using a premixed opacity table.

- option to read vertical mixing ratios instead of (or in addition to) equilibrium chemistry.

- option to couple to photochemical kinetics codes.

- option to use Random Overlap (RO) to mix opacities of individual species (previously only correlated-k possible).

- option to include multiple, parameterized cloud decks. Mie-scattering input files are provided.

- option to use physical time stepping with given runtime.

- improved T-P smoothing functionality that satisfies global energy conservation.

- script to easily produce stellar spectrum input files from common databases like PHOENIX.

- (almost) all input parameters are now as command-line options available.

- completely revised "ktable" program. It is now possible to generate k-distribution tables directly from HELIOS-K output files.

- enhanced overall clarify, user-friendliness and automatization based on input options.

### Documentation ###

A detailed documentation of HELIOS can be found [here](https://heliosexo.readthedocs.io/).