The Hawaii Infrared Supernova Study (HISS): Spectroscopic Data Release 1
K. Medler, C. Ashall, M. Shahbandeh, J. M. DerKacy, W. B. Hoogendam, D. O. Jones, B. J. Shappee, J. T. Hinkle, C. M. Pfeffer, E. Baron, P. Hoeflich, E. Hsiao

TL;DR
This paper introduces the first data release of the Hawaii Infrared Supernova Study, providing a large, systematically reduced set of near-infrared spectra of various transient astronomical events, enhancing resources for supernova research and explosion physics.
Contribution
It presents a comprehensive, publicly available NIR spectral dataset of 48 transients, including multiple supernova types, obtained with Keck-II/NIRES and IRTF/SpeX, significantly expanding existing resources.
Findings
Identified key spectral features across supernova types.
Demonstrated how NIR spectra reveal explosion physics.
Increased publicly available NIR spectra for transient studies.
Abstract
We present the first data release of the Hawaii Infrared Supernova Study (\textit{HISS}), consisting of a large sample of near-infrared (NIR) spectra, , obtained with the Keck-II/NIRES and IRTF/SpeX spectrographs. This sample is comprised of 90 NIR spectra of 48 transient events, spanning from hours after explosion to days. Acquired over three years (2021-2024), this data release includes 17 Type Ia SNe, 15 Type II SNe, 8 Stripped Envelope SNe, 6 interacting SNe, 1 TDE, and 1 SLSN-I. These spectra were all systematically reduced using either the \textsc{Python}-based reduction code \textsc{Pypeit} or the \textsc{IDL}-based \textsc{Spextool} and constitute one of the largest NIR samples of transients available to the astrophysical community. We show the utility of NIR spectra and identify the key spectral features across multiple types of SNe. We…
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