STag II: Classification of Serendipitous Supernovae Observed by Galaxy Redshift Surveys
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866911184257548288 |
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| author | Davison, W. Parkinson, D. BenZvi, S. Palmese, A. Aguilar, J. Ahlen, S. Brooks, D. Claybaugh, T. de la Macorra, A. Dey, Arjun Doel, P. Gaztañaga, E. Gontcho, S. Gontcho A Howlett, C. Juneau, S. Kisner, T. Kremin, A. Lambert, A. Landriau, M. Guillou, L. Le Meisner, A. Miquel, R. Moustakas, J. Myers, A. D. Poppett, C. Prada, F. Rezaie, M. Rossi, G. Sanchez, E. Schlafly, E. F. Schubnell, M. Sprayberry, D. Tarlé, G. Weaver, B. A. Zou, H. |
| author_facet | Davison, W. Parkinson, D. BenZvi, S. Palmese, A. Aguilar, J. Ahlen, S. Brooks, D. Claybaugh, T. de la Macorra, A. Dey, Arjun Doel, P. Gaztañaga, E. Gontcho, S. Gontcho A Howlett, C. Juneau, S. Kisner, T. Kremin, A. Lambert, A. Landriau, M. Guillou, L. Le Meisner, A. Miquel, R. Moustakas, J. Myers, A. D. Poppett, C. Prada, F. Rezaie, M. Rossi, G. Sanchez, E. Schlafly, E. F. Schubnell, M. Sprayberry, D. Tarlé, G. Weaver, B. A. Zou, H. |
| contents | With the number of supernovae observed expected to drastically increase thanks to large-scale surveys like the Dark Energy Spectroscopic Instrument (DESI), it is necessary that the tools we use to classify these objects keep up with this increase. We previously created Supernova Tagging and Classification (STag) to address this problem by employing machine learning techniques alongside logistic regression in order to assign 'tags' to spectra based on spectral features. STag II is a continuation of this work, which now makes use of model supernova spectra combined with real DESI spectra in order to train STag to better deal with realistic data. We also make use of the rlap score as a trustworthiness cut, making for a more robust and accurate supernova classifier than before. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2406_17204 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | STag II: Classification of Serendipitous Supernovae Observed by Galaxy Redshift Surveys Davison, W. Parkinson, D. BenZvi, S. Palmese, A. Aguilar, J. Ahlen, S. Brooks, D. Claybaugh, T. de la Macorra, A. Dey, Arjun Doel, P. Gaztañaga, E. Gontcho, S. Gontcho A Howlett, C. Juneau, S. Kisner, T. Kremin, A. Lambert, A. Landriau, M. Guillou, L. Le Meisner, A. Miquel, R. Moustakas, J. Myers, A. D. Poppett, C. Prada, F. Rezaie, M. Rossi, G. Sanchez, E. Schlafly, E. F. Schubnell, M. Sprayberry, D. Tarlé, G. Weaver, B. A. Zou, H. Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics With the number of supernovae observed expected to drastically increase thanks to large-scale surveys like the Dark Energy Spectroscopic Instrument (DESI), it is necessary that the tools we use to classify these objects keep up with this increase. We previously created Supernova Tagging and Classification (STag) to address this problem by employing machine learning techniques alongside logistic regression in order to assign 'tags' to spectra based on spectral features. STag II is a continuation of this work, which now makes use of model supernova spectra combined with real DESI spectra in order to train STag to better deal with realistic data. We also make use of the rlap score as a trustworthiness cut, making for a more robust and accurate supernova classifier than before. |
| title | STag II: Classification of Serendipitous Supernovae Observed by Galaxy Redshift Surveys |
| topic | Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics |
| url | https://arxiv.org/abs/2406.17204 |