Robust Support for Semi-automated Reductions of Keck/NIRSPEC Data Using PypeIt

Carvalho, Adolfo S.; Doppmann, Greg; Westfall, Kyle B.; Pelliccia, Debora; Prochaska, J. Xavier; Hennawi, Joseph; Davies, Frederick B.; Brodheim, Max; Wang, Feige; Cooke, Ryan

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.

Citation

Carvalho, A. S., Doppmann, G., Westfall, K. B., Pelliccia, D., Prochaska, J. X., Hennawi, J., Davies, F. B., Brodheim, M., Wang, F., & Cooke, R. (2024). Robust Support for Semi-automated Reductions of Keck/NIRSPEC Data Using PypeIt. Research Notes of the American Astronomical Society, 8(10), Article 271. https://doi.org/10.3847/2515-5172/ad8bb5

• Journal Article Type: Article
• Acceptance Date: Oct 25, 2024
• Online Publication Date: Oct 29, 2024
• Publication Date: Oct 29, 2024
• Deposit Date: Nov 4, 2024
• Publicly Available Date: Nov 4, 2024
• Journal: Research Notes of the AAS
• Electronic ISSN: 2515-5172
• Publisher: American Astronomical Society
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 10
• Article Number: 271
• DOI: https://doi.org/10.3847/2515-5172/ad8bb5
• Keywords: Infrared spectroscopy, High resolution spectroscopy, Astronomy data reduction, Astronomy software
• Public URL: https://durham-repository.worktribe.com/output/3048030