Robust Support for Semi-automated Reductions of Keck/NIRSPEC Data Using PypeIt
Creators
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1.
California Institute of Technology
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2.
W.M. Keck Observatory
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3.
University of California, Santa Cruz
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4.
University of California, Santa Barbara
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5.
Leiden University
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6.
Max Planck Institute for Astronomy
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7.
University of Michigan–Ann Arbor
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8.
University of Arizona
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9.
Durham University
Abstract
We present a data reduction pipeline (DRP) for Keck/Near InfraRed SPECtrograph (NIRSPEC) built as an addition to the PypeIt Python package. The DRP is capable of reducing multi-order echelle data taken both before and after the detector upgrade in 2018. As part of developing the pipeline, we implemented major improvements to the capabilities of the PypeIt package, including manual wavelength calibration for multi-order data and new output product that returns a coadded spectrum order-by-order. We also provide a procedure for correcting telluric absorption in NIRSPEC data by using the spectra of telluric standard stars taken near the time of the science spectra. At high resolutions, this is often more accurate than modeling-based approaches.
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society.
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Software References
Astropy (Astropy Collaboration et al. 2013, 2018, 2022), NumPy (C. R. Harris et al. 2020).
Additional details
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- Discussion Paper: arXiv:2410.19991 (arXiv)
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- Published