We present a data reduction pipeline (DRP) for Keck/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.
@article{arxiv.2410.19991,
title = {Robust support for semi-automated reductions of Keck/NIRSPEC data using PypeIt},
author = {Adolfo S. Carvalho and Greg Doppmann and Kyle B. Westfall and Debora Pelliccia and J. Xavier Prochaska and Joseph Hennawi and Frederick B. Davies and Max Brodheim and Feige Wang and Ryan Cooke},
journal= {arXiv preprint arXiv:2410.19991},
year = {2024}
}