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We present SNIascore, a deep-learning based method for spectroscopic classification of thermonuclear supernovae (SNe Ia) based on very low-resolution (R $\sim100$) data.
https://arxiv.org/abs/2004.03511
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Liu, Y.-Q., Modjaz, M., Bianco, F. B., & Graur, O. 2016, ApJ, 827, 90, doi: 10.3847/0004-637X/827/2/90
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Blagorodnova, N., Neill, J. D., Walters, R., et al. 2018, PASP, 130, 035003, doi: 10.1088/1538-3873/aaa53f
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Duev, D. A., Mahabal, A., Masci, F. J., et al. 2019, Monthly Notices of the Royal Astronomical Society, 489, 3582
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Graham, M. J., Kulkarni, S. R., Bellm, E. C., et al. 2019, PASP, 131, 078001, doi: 10.1088/1538-3873/ab006c
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2019
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Masci, F. J., Laher, R. R., Rusholme, B., et al. 2019, PASP, 131, 018003, doi: 10.1088/1538-3873/aae8ac
2019
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Sherstinsky, A. 2020, Physica D Nonlinear Phenomena, 404, 132306, doi: 10.1016/j.physd.2019.132306
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Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019a, PASP, 131, 018002, doi: 10.1088/1538-3873/aaecbe
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Bellm, E. C., Kulkarni, S. R., Barlow, T., et al. 2019b, PASP, 131, 068003, doi: 10.1088/1538-3873/ab0c2a
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2020
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Fremling, C., Dahiwale, A., Mahabal, A., et al. 2021, Transient Name Server Astronote, 2021-122
2021
Closest in time.
SNIascore. 2021, Transient Name Server Classification Report, 9385
2021
Closest in time.
Williamson, M., Modjaz, M., & Bianco, F. B. 2019, ApJ, 880, L22, doi: 10.3847/2041-8213/ab2edb
2041
Closest in time.