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Hawai'i Supernova Flows: A Peculiar Velocity Survey Using Over a Thousand Supernovae in the Near-Infrared by Do, Aaron; Shappee, Benjamin J.; Tonry, John L.; Tully, R. Brent; de Jaeger, Thomas; Rubin, David; Ashall, Chris; Burns, Christopher R.; Desai, Dhvanil D.; Hinkle, Jason T.; Hoogendam, Willem B.; Huber, Mark E.; Jones, David O.; Mandel, Kaisey S.; Payne, Anna V.; Peterson, Erik R.; Scolnic, Dan; Tucker, Michael A. is a scholarly article available to read on EtoBox.

What is Hawai'i Supernova Flows: A Peculiar Velocity Survey Using Over a Thousand Supernovae in the Near-Infrared about?

We introduce the Hawai'i Supernova Flows project and present summary statistics of the first 1,217 astronomical transients observed, 668 of which are spectroscopically classified Type Ia Supernovae (SNe Ia). Our project is designed to obtain systematics-limited distances to SNe Ia while consuming minimal dedicated observational resources. To date, we have performed almost 5,000 near-infrared (NIR) observations of astronomical transients and have obtained spectra for over 200 host galaxies lacking published spectroscopic redshifts. In this survey paper we describe the methodology used to select targets, collect/reduce data, calculate distances, and perform quality cuts. We compare our methods to those used in similar studies, finding general agreement or mild improvement. Our summary statistics include various parametrizations of dispersion in the Hubble diagrams produced using fits to several commonly used SN Ia models. We find the lowest dispersions using the \texttt{SNooPy} package's EBV\_model2, with a root mean square (RMS) deviation of 0.165 mag and a normalized median absolute deviation (NMAD) of 0.123 mag. The full utility of the Hawai'i Supernova Flows data set far exceeds

Author

Do, Aaron; Shappee, Benjamin J.; Tonry, John L.; Tully, R. Brent; de Jaeger, Thomas; Rubin, David; Ashall, Chris; Burns, Christopher R.; Desai, Dhvanil D.; Hinkle, Jason T.; Hoogendam, Willem B.; Huber, Mark E.; Jones, David O.; Mandel, Kaisey S.; Payne, Anna V.; Peterson, Erik R.; Scolnic, Dan; Tucker, Michael A.

Published

2024

Language

EN