Carnegie Supernova Project-II: The Near-infrared Spectroscopy Program
E. Y. Hsiao, M. M. Phillips, G. H. Marion, R. P. Kirshner, N. Morrell,, D. J. Sand, C. R. Burns, C. Contreras, P. Hoeflich, M. D. Stritzinger, S., Valenti, J. P. Anderson, C. Ashall, C. Baltay, E. Baron, D. P. K. Banerjee,, S. Davis, T. R. Diamond, G. Folatelli

TL;DR
This paper introduces the CSP-II NIR spectroscopy program, which collected a large sample of NIR spectra of Type Ia supernovae to improve understanding and reduce systematic errors in cosmological measurements.
Contribution
The paper details the survey strategy, data collection, and sample characteristics of the CSP-II NIR spectroscopy program, providing a valuable dataset for supernova research.
Findings
Collected 661 NIR spectra of 157 SNe Ia.
Provided a dataset with 451 spectra of 90 SNe Ia with light curves.
Enables detailed studies of supernova properties in the NIR.
Abstract
Shifting the focus of Type Ia supernova (SN Ia) cosmology to the near-infrared (NIR) is a promising way to significantly reduce the systematic errors, as the strategy minimizes our reliance on the empirical width-luminosity relation and uncertain dust laws. Observations in the NIR are also crucial for our understanding of the origins and evolution of these events, further improving their cosmological utility. Any future experiments in the rest-frame NIR will require knowledge of the SN Ia NIR spectroscopic diversity, which is currently based on a small sample of observed spectra. Along with the accompanying paper, Phillips et al. (2018), we introduce the Carnegie Supernova Project-II (CSP-II), to follow up nearby SNe Ia in both the optical and the NIR. In particular, this paper focuses on the CSP-II NIR spectroscopy program, describing the survey strategy, instrumental setups, data…
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