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A Probabilistic Autoencoder for Type Ia Supernova Spectral Time Series
George Stein, Uroš Seljak, Vanessa Böhm, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, S. Bongard, K. Boone, C. Buton, Y. Copin, S. Dixon, D. Fouchez, E. Gangler, R. Gupta, B. Hayden, W. Hillebrandt, M. Karmen, A. G. Kim, M. Kowalski, D. Küsters, P.-F. Léget, F. Mondon, J. Nordin, et al. The Astrophysical Journal 935(1) 5 (2022) https://doi.org/10.3847/1538-4357/ac7c08
SUGAR: An improved empirical model of Type Ia supernovae based on spectral features
deepSIP: linking Type Ia supernova spectra to photometric quantities with deep learning
Benjamin E Stahl, Jorge Martínez-Palomera, WeiKang Zheng, et al. Monthly Notices of the Royal Astronomical Society 496(3) 3553 (2020) https://doi.org/10.1093/mnras/staa1706
Understanding type Ia supernovae through their U-band spectra
Michele Sasdelli, W. Hillebrandt, G. Aldering, et al. Monthly Notices of the Royal Astronomical Society 447(2) 1247 (2015) https://doi.org/10.1093/mnras/stu2416
Variable selection for modeling the absolute magnitude at maximum of Type Ia supernovae
Makoto Uemura, Koji S. Kawabata, Shiro Ikeda and Keiichi Maeda Publications of the Astronomical Society of Japan 67(3) (2015) https://doi.org/10.1093/pasj/psv031
THE CHANGING FRACTIONS OF TYPE IA SUPERNOVA NUV–OPTICAL SUBCLASSES WITH REDSHIFT
Berkeley Supernova Ia Program - III. Spectra near maximum brightness improve the accuracy of derived distances to Type Ia supernovae
Jeffrey M. Silverman, Mohan Ganeshalingam, Weidong Li and Alexei V. Filippenko Monthly Notices of the Royal Astronomical Society 425(3) 1889 (2012) https://doi.org/10.1111/j.1365-2966.2012.21526.x
Confronting 2D delayed-detonation models with light curves and spectra of Type Ia supernovae
Stéphane Blondin, Daniel Kasen, Friedrich K. Röpke, Robert P. Kirshner and Kaisey S. Mandel Monthly Notices of the Royal Astronomical Society 417(2) 1280 (2011) https://doi.org/10.1111/j.1365-2966.2011.19345.x
QUANTIFYING SPECTRAL FEATURES OF TYPE Ia SUPERNOVAE