Data reduction pipeline for VLT/CRIRES+
Project description
Data reduction pipeline for VLT/CRIRES+
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.
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