Skip to main content

High resolution opacity calculation tool

Project description

Pypi version documentation: https://line-racer.readthedocs.io/en/latest/ licence: MIT

line racer: An easy-to-use Python package for calculating (high-resolution) opacities from molecular line lists for atmospheric modeling

Welcome to the line racer repository! line racer is a Python package designed to compute high-resolution opacities from molecular (and in the future atomic) line lists. It combines two methods to calculate the line profiles: A direct calculation method using the Humlicek algorithm (Humlícek, 1982) and a speedup for calculating the line wings based on Mollière et al. (2015) to calculate the lines with the most intensity. A sampling technique of the line profiles based on Min (2017) for an ultra fast calculation of the lower intensity lines. The opacities can directly be output in the pRT format used by the petitRADTRANS code (Mollière et al., 2019, Blain et al., 2024), but also in other atmospheric modeling and retrieval codes.

Documentation

The code documentation, installation guide, and tutorial can be found here.

Attribution

If you use line racer in your work, please cite the following article: (still in preparation, DOI will be added here later).

License

Copyright 2025-2026 David Hägele and Paul Mollière

line racer is available under the MIT license. See the LICENSE file for more information.

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

line_racer-1.0.1.tar.gz (73.9 MB view details)

Uploaded Source

File details

Details for the file line_racer-1.0.1.tar.gz.

File metadata

  • Download URL: line_racer-1.0.1.tar.gz
  • Upload date:
  • Size: 73.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for line_racer-1.0.1.tar.gz
Algorithm Hash digest
SHA256 8bfe58f3c4093b4d635c7b3b5bbe4aa337d7e2ab706bba7dbffd55484056320a
MD5 9b795c94de649682f88a4cc635ca17ca
BLAKE2b-256 6d3ba4e88cce097d3fade25fb4191bfa8b8bad0c32334fb084855444a20432bc

See more details on using hashes here.

Supported by

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