PyLongslit: a simple manual Python pipeline for processing of astronomical long-slit spectra recorded with CCD detectors
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916670051713024 |
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| author | Valeckas, Kostas Fynbo, Johan Peter Uldall Krogager, Jens-Kristian Heintz, Kasper Elm |
| author_facet | Valeckas, Kostas Fynbo, Johan Peter Uldall Krogager, Jens-Kristian Heintz, Kasper Elm |
| contents | We present a new Python pipeline for processing data from astronomical long-slit spectroscopy observations recorded with CCD detectors. The pipeline is designed to aim for simplicity, manual execution, transparency and robustness. The goal for the pipeline is to provide a manual and simple counterpart to the well-established semi-automated and automated pipelines. The intended use-cases are teaching and cases where automated pipelines fail.
From raw data, the pipeline can produce the following output:
* A calibrated 2D spectrum in counts and wavelength for every detector pixel.
* A 1D spectrum extracted from the 2D spectrum in counts per wavelength (for point-like objects).
* A flux-calibrated 1D spectrum (for point-like objects).
The products are obtained by performing standard procedures for detector calibrations (Howell, 2006; Richard Berry, 2005), cosmic-ray subtraction (McCully et al., 2018; van Dokkum, 2001), and 1D spectrum extraction (Bradley et al., 2024; Horne, 1986).
Software repository: https://github.com/KostasValeckas/PyLongslit |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00973 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PyLongslit: a simple manual Python pipeline for processing of astronomical long-slit spectra recorded with CCD detectors Valeckas, Kostas Fynbo, Johan Peter Uldall Krogager, Jens-Kristian Heintz, Kasper Elm Instrumentation and Methods for Astrophysics We present a new Python pipeline for processing data from astronomical long-slit spectroscopy observations recorded with CCD detectors. The pipeline is designed to aim for simplicity, manual execution, transparency and robustness. The goal for the pipeline is to provide a manual and simple counterpart to the well-established semi-automated and automated pipelines. The intended use-cases are teaching and cases where automated pipelines fail. From raw data, the pipeline can produce the following output: * A calibrated 2D spectrum in counts and wavelength for every detector pixel. * A 1D spectrum extracted from the 2D spectrum in counts per wavelength (for point-like objects). * A flux-calibrated 1D spectrum (for point-like objects). The products are obtained by performing standard procedures for detector calibrations (Howell, 2006; Richard Berry, 2005), cosmic-ray subtraction (McCully et al., 2018; van Dokkum, 2001), and 1D spectrum extraction (Bradley et al., 2024; Horne, 1986). Software repository: https://github.com/KostasValeckas/PyLongslit |
| title | PyLongslit: a simple manual Python pipeline for processing of astronomical long-slit spectra recorded with CCD detectors |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2504.00973 |