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Data reduction pipeline for VLT/CRIRES+

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pycrires is a Python wrapper for running the CRIRES+ recipes of EsoRex.

The pipeline organizes the raw data, creates SOF and configuration files for EsoRex, runs the calibration and science recipes, improves the wavelength solution, and creates plots of the images and extracted spectra.

Additionally, there are dedicated routines for the extraction, calibration, and detection of spatially-resolved objects such as directly imaged planets.

For spatially resolved objects, the telluric lines can typically be corrected with the stellar spectrum. Otherwise, it is possible to use an empirical modeling approach with the recipes of MolecFit. The pipeline interface of pycrires provides functionalities for both cases.

Documentation

Documentation can be found at http://pycrires.readthedocs.io.

Attribution

Please cite Stolker & Landman (2023) when pycrires is used in a publication and Landman et al. (2023) specifically when using the dedicated routines for spatially-resolved sources.

Contributing

Contributions are welcome so please consider forking the repository and creating a pull request. Bug reports and feature requests can be provided by creating an issue on the Github page.

License

Copyright 2026 Tomas Stolker & Rico Landman

pycrires is distributed under the MIT License. See LICENSE for the terms and conditions.

Release files for pycrires 0.4.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pycrires 0.4.4
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Table of built distributions (wheels) for pycrires 0.4.4
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pycrires-0.4.4-py3-none-any.whl Python 3 none any Details

Total release size: 22.6 MB

Release files / pycrires-0.4.4.tar.gz

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