Sharma, Yashvi https://orcid.org/0000-0003-4531-1745
Mahabal, Ashish A. https://orcid.org/0000-0003-2242-0244
Sollerman, Jesper https://orcid.org/0000-0003-1546-6615
Fremling, Christoffer https://orcid.org/0000-0002-4223-103X
Kulkarni, S. R. https://orcid.org/0000-0001-5390-8563
Rehemtulla, Nabeel https://orcid.org/0000-0002-5683-2389
Miller, Adam A. https://orcid.org/0000-0001-9515-478X
Aubert, Marie
Chen, Tracy X. https://orcid.org/0000-0001-9152-6224
Coughlin, Michael W. https://orcid.org/0000-0002-8262-2924
Graham, Matthew J. https://orcid.org/0000-0002-3168-0139
Hale, David
Kasliwal, Mansi M. https://orcid.org/0000-0002-5619-4938
Kim, Young-Lo https://orcid.org/0000-0002-1031-0796
Neill, James D. https://orcid.org/0000-0002-0466-1119
Purdum, Josiah N. https://orcid.org/0000-0003-1227-3738
Rusholme, Ben https://orcid.org/0000-0001-7648-4142
Singh, Avinash https://orcid.org/0000-0003-2091-622X
Sravan, Niharika
Funding for this research was provided by:
Gordon and Betty Moore Foundation
Brinson Foundation
National Science Foundation (1106171)
Heising-Simons Foundation (12540303)
Science and Technology Facilities Council (ST/V000713/1)
David and Lucile Packard Foundation
Article Title: CCSNscore: A Multi-input Deep Learning Tool for Classification of Core-collapse Supernovae Using SED-machine Spectra
Journal Title: Publications of the Astronomical Society of the Pacific
Article Type: paper
Copyright Information: © 2025. The Author(s). Published by IOP Publishing Ltd on behalf of the Astronomical Society of the Pacific (ASP).
Publication dates
Date Received: 2024-10-01
Date Accepted: 2025-03-11
Online publication date: 2025-03-28