Robust support for semi-automated reductions of Keck/NIRSPEC data using PypeIt

Autor:	Carvalho, Adolfo S., Doppmann, Greg, Westfall, Kyle B., Pelliccia, Debora, Prochaska, J. Xavier, Hennawi, Joseph, Davies, Frederick B., Brodheim, Max, Wang, Feige, Cooke, Ryan
Rok vydání:	2024
Předmět:	Astrophysics - Instrumentation and Methods for Astrophysics
Druh dokumentu:	Working Paper
Popis:	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. Comment: 2 pages, 1 figure, accepted to RNAAS
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.19991 Zobrazit plný text záznamu View this record from Arxiv