2020
DOI: 10.21105/joss.02308
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PypeIt: The Python Spectroscopic Data Reduction Pipeline

Abstract: PypeIt is a Python package for semi-automated reduction of astronomical, spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers (Bernstein, Burles, & Prochaska, 2015;Bochanski et al., 2009). The reduction procedure -including a complete list of the input parameters and available functionality -is provided as online documentation hosted by Read the Docs, which is regularly updated. In what follows, we provide a brief description of the algorit… Show more

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Cited by 243 publications
(146 citation statements)
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“…All optical and NIR spectroscopic data were reduced by applying standard data reduction techniques with the newly developed open source Python spectroscopic data reduction package PypeIt (Prochaska et al 2020a(Prochaska et al , 2020b. The reduction procedure includes sky subtraction, which was performed on the 2D images by including both image differencing between dithered exposures (whenever these were available) and a B-spline fitting procedure.…”
Section: Keck/deimos Observationsmentioning
confidence: 99%
“…All optical and NIR spectroscopic data were reduced by applying standard data reduction techniques with the newly developed open source Python spectroscopic data reduction package PypeIt (Prochaska et al 2020a(Prochaska et al , 2020b. The reduction procedure includes sky subtraction, which was performed on the 2D images by including both image differencing between dithered exposures (whenever these were available) and a B-spline fitting procedure.…”
Section: Keck/deimos Observationsmentioning
confidence: 99%
“…We also observed the flux standard star Feige 110. We reduced the NIRES data using a newly developed opensource Python-based spectroscopic data reduction pipeline (PypeIt 15 ; Prochaska et al 2019;Prochaska et al 2020). Basic image processing (i.e., flat-fielding) followed standard techniques.…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…Software: astropy (Astropy Collaboration et al 2013), emcee (Foreman-Mackey et al 2013), matplotlib (Hunter 2007), PypeIt (Prochaska et al 2019). Fabian Walter https://orcid.org/0000-0003-4793-7880 Minghao Yue https://orcid.org/0000-0002-5367-8021…”
Section: Orcid Idsmentioning
confidence: 99%
“…SEDM spectra were reduced using the pipeline described by Rigault et al (2019), and the spectra from La Palma were reduced using standard pipelines and procedures for each telescope and instrument. The ALFOSC spectra were often reduced using PypeIt (Prochaska et al 2020). All spectral data and corresponding information is available via WISeREP 15 (Yaron & Gal-Yam 2012).…”
Section: Optical Spectroscopymentioning
confidence: 99%