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Extending Supernova Spectral Templates for Next-generation Space Telescope Observations

Published version
Peer-reviewed

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Authors

Rodney, S 
Avelino, A 
Bianco, F 
Filippenko, AV 

Abstract

Empirical models of supernova (SN) spectral energy distributions (SEDs) are widely used for SN survey simulations and photometric classifications. The existing library of SED models has excellent optical templates but limited, poorly constrained coverage of ultraviolet (UV) and infrared (IR) wavelengths. However, both regimes are critical for the design and operation of future SN surveys, particularly at IR wavelengths that will be accessible with the James Webb Space Telescope (JWST) and the Wide-Field Infrared Survey Telescope (WFIRST). We create a public repository of improved empirical SED templates using a sampling of Type Ia and core-collapse (CC) photometric light curves to extend the Type Ia parameterized SALT2 model and a set of SN Ib, SN Ic, and SN II SED templates into the UV and near-IR. We apply this new repository of extrapolated SN SED models to examine how future surveys can discriminate between CC and Type Ia SNe at UV and IR wavelengths, and present an open-source software package written in Python, SNSEDextend, that enables a user to generate their own extrapolated SEDs.

Description

Keywords

5109 Space Sciences, 51 Physical Sciences

Journal Title

Publications of the Astronomical Society of the Pacific

Conference Name

Journal ISSN

0004-6280
1538-3873

Volume Title

130

Publisher

IOP Publishing