Skip to main content

Data reduction pipeline for VLT/CRIRES+

Project description

Data reduction pipeline for VLT/CRIRES+

PyPI Status Python Versions CI Status Docs Status Code Coverage Code Quality License

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 2021-2024 Tomas Stolker & Rico Landman

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

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

pycrires-0.4.0.tar.gz (22.3 MB view details)

Uploaded Source

Built Distribution

pycrires-0.4.0-py3-none-any.whl (275.7 kB view details)

Uploaded Python 3

File details

Details for the file pycrires-0.4.0.tar.gz.

File metadata

  • Download URL: pycrires-0.4.0.tar.gz
  • Upload date:
  • Size: 22.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for pycrires-0.4.0.tar.gz
Algorithm Hash digest
SHA256 06419b61847d9b2e3b9595c34bcb745af4c96c2a9096f19ffa4322921d2cd72d
MD5 e55941ceddd410ca4eaeff70fd6f39be
BLAKE2b-256 4b4578adb2663aa31d0334e45ad8aed60990ba3e10e79923a7b4f6be5ea50cef

See more details on using hashes here.

File details

Details for the file pycrires-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: pycrires-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 275.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for pycrires-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 589b8bc0e27c4af59342f777fda41b656e6e3727a7f19bdab56c219997cf3396
MD5 9467ed1f4781c111311578ee8eb14181
BLAKE2b-256 9ef3fc12c5d4619f41fa02f63c5ac2f532f3c9e177d6bb59947144c866ec0e95

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