PypeIt: The Python Spectroscopic Data Reduction Pipeline
By J. Xavier Prochaska, J. Hennawi, K. Westfall, R. Cooke, Feige Wang, Tiffany Hsyu, F. Davies, E. B. U. O. California, Santa Cruz, K. I. F. T. Physics and 10 more. Journal of Open Source Software, 2020
312 citations recorded by the source corpus.
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. (this https URL). Release v1.0.3 serves the following spectrographs: Gemini/GNIRS, Gemini/GMOS, Gemini/FLAMINGOS 2, Lick/Kast, Magellan/MagE, Magellan/Fire, MDM/OSMOS, Keck/DEIMOS (600ZD, 830G, 1200G), Keck/LRIS, Keck/MOSFIRE (J and Y gratings tested), Keck/NIRES, Keck/NIRSPEC (low-dispersion), LBT/Luci-I, Luci-II, LBT/MODS (beta), NOT/ALFOSC (grism4), VLT/X-Shooter (VIS, NIR), VLT/FORS2 (300I, 300V), WHT/ISIS.
View Paper: https://www.semanticscholar.org/paper/43dd4f6b04a7cd11868502013710df0839df16c3
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- Shivani Bhandari
- K. Heintz
- W. Fong
- E. Platts
- L. Marnoch
- J. Xavier Prochaska
- C. Day
- S. Simha
Citations in the corpus
- Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for Their Progenitors (2020, methodology): “Spectroscopy of this host-galaxy candidate with the FORS2 instrument on the ESO Very Large Telescope (VLT) was reduced using the PypeIt reduction package (Prochaska et al. 2020), which optimally extracts a 1D spectrum from the flatfielded and sky-subtracted 2D spectral image.”