Skip to main content

Three-dimensional scattering radiative transfer for planetary atmospheres

Project description

Atmospheric Radiative Transfer for Exoplanet Science

https://readthedocs.org/projects/artes/badge/?version=latest https://img.shields.io/badge/License-GPLv3-blue.svg http://img.shields.io/badge/arXiv-1706.09427-orange.svg?style=flat

ARTES is a 3D Monte Carlo radiative transfer code specifically designed for (polarized) scattered light simulations of planetary atmospheres. Computations of both reflected stellar light and thermal emission from the planet are possible for an arbitrary atmospheric structure and distribution of opacity sources. Multiple scattering, absorption, and polarization are fully treated and the output includes an image, spectrum, or phase curve. Several tools are included to create opacities and scattering matrices for molecules and clouds.

Documentation

Documentation can be found at http://artes.readthedocs.io, including installation instructions, a description of the requires input files, and several examples.

Attribution

Please cite Stolker et al., 2017, A&A, 607, A42 whenever results from ARTES are used in a publication.

License

Copyright 2018-2020 Tomas Stolker

ARTES is free software and distributed under the GNU General Public License v3.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

artes-0.0.1.tar.gz (2.2 kB view details)

Uploaded Source

Built Distribution

artes-0.0.1-py3-none-any.whl (2.3 kB view details)

Uploaded Python 3

File details

Details for the file artes-0.0.1.tar.gz.

File metadata

  • Download URL: artes-0.0.1.tar.gz
  • Upload date:
  • Size: 2.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.42.0 CPython/3.6.0

File hashes

Hashes for artes-0.0.1.tar.gz
Algorithm Hash digest
SHA256 5c6f12b63d97a796c91523795d1d274e9806a3d9cf4b9f5c98377b3d5e5529a9
MD5 d3b64a09c24ea15b44396faf84f9c319
BLAKE2b-256 567cc69e2a9c117f5d6e759100ad64ce680abdbd60480b619ca8de7c30025d2b

See more details on using hashes here.

File details

Details for the file artes-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: artes-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.42.0 CPython/3.6.0

File hashes

Hashes for artes-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 713e52ebec4db0fa35bc6e78f6bb3f34e98d3d36da639c6b8c15b4ffbd598063
MD5 35e089ef039ea3fab1cc0855f1b30411
BLAKE2b-256 131b3b04482270bf13333a9c30f30b0ac86385a308b9495ed90964bf6dc41941

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page