publication . Preprint . Article . 2019

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals

Malz, A. I.; Hložek, R.; Allam Jr, T.; Bahmanyar, A.; Biswas, R.; Dai, M.; Galbany, L.; Ishida, E. E. O.; Jha, S. W.; Jones, D. O.; ...
Open Access English
  • Published: 10 Oct 2019
Abstract
Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. However, upcoming deep photometric surveys, including the Large Synoptic Survey Telescope (LSST), will produce a deluge of low signal-to-noise data for which traditional labeling procedures are inappropriate. Probabilistic classification is more appropriate for the data but are incompatible with the traditional metrics used on deterministic classifications. Furthermore, large survey collaborations intend to use these classification probabilities for diverse science objectives, indicating...
Persistent Identifiers
Subjects
free text keywords: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, Astronomy and Astrophysics, [ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], Light curve, Data mining, computer.software_genre, computer, Methods statistical, Performance metric, Sextant (astronomical), law.invention, law, Physics, Time series classification, Photometry (optics)
Funded by
NSERC
Project
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
,
NSF| Collaborative Research: New Insights from a Systematic Approach to Quasar Variability
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1518308
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Open Exploration of the Time Domain with the Catalina Real-Time Transient Survey
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1313422
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
NSF| The Catalina Real-Time Transient Survey (CRTS)
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0909182
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
Communities
EGI FederationEGI virtual organizations: lsst
30 references, page 1 of 2

|. 2018a, Mon Not R Astron Soc, 476, 3233

Hon, M., Stello, D., & Zinn, J. C. 2018b, ApJ, 859, 64

Hoyle, B. 2016, Astronomy and Computing, 16, 34

Ishida, E. E. O., & de Souza, R. S. 2013, Mon Not R Astron Soc, 430, 509

Jones, D. O., Scolnic, D. M., Riess, A. G., et al. 2018, ApJ, 857, 51

Kessler, R., Conley, A., Jha, S., & Kuhlmann, S. 2010a, arXiv:1001.5210 [astro-ph], arXiv: 1001.5210

Kessler, R., Bassett, B., Belov, P., et al. 2010b, PASP, 122, 1415

Kim, E. J., & Brunner, R. J. 2017, Mon Not R Astron Soc, 464, 4463

Kim, E. J., Brunner, R. J., & Carrasco Kind, M. 2015, Mon Not R Astron Soc, 453, 507

Kitching, T., Amara, A., Gill, M., et al. 2011, Ann. Appl. Stat., 5, 2231

Lochner, M., McEwen, J. D., Peiris, H. V., Lahav, O., & Winter, M. K. 2016, ApJS, 225, 31

Mahabal, A., Sheth, K., Gieseke, F., et al. 2017, in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1{8

Mahabal, A., Djorgovski, S. G., Turmon, M., et al. 2008, Astronomische Nachrichten, 329, 288

Malz, A. I., Marshall, P. J., DeRose, J., et al. 2018, AJ, 156, 35

Malz, A. I., Peters, C. M., & Hlozek, R. 2018, in prep.

30 references, page 1 of 2
Abstract
Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. However, upcoming deep photometric surveys, including the Large Synoptic Survey Telescope (LSST), will produce a deluge of low signal-to-noise data for which traditional labeling procedures are inappropriate. Probabilistic classification is more appropriate for the data but are incompatible with the traditional metrics used on deterministic classifications. Furthermore, large survey collaborations intend to use these classification probabilities for diverse science objectives, indicating...
Persistent Identifiers
Subjects
free text keywords: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, Astronomy and Astrophysics, [ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], Light curve, Data mining, computer.software_genre, computer, Methods statistical, Performance metric, Sextant (astronomical), law.invention, law, Physics, Time series classification, Photometry (optics)
Funded by
NSERC
Project
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
,
NSF| Collaborative Research: New Insights from a Systematic Approach to Quasar Variability
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1518308
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Open Exploration of the Time Domain with the Catalina Real-Time Transient Survey
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1313422
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
NSF| The Catalina Real-Time Transient Survey (CRTS)
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 0909182
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
Communities
EGI FederationEGI virtual organizations: lsst
30 references, page 1 of 2

|. 2018a, Mon Not R Astron Soc, 476, 3233

Hon, M., Stello, D., & Zinn, J. C. 2018b, ApJ, 859, 64

Hoyle, B. 2016, Astronomy and Computing, 16, 34

Ishida, E. E. O., & de Souza, R. S. 2013, Mon Not R Astron Soc, 430, 509

Jones, D. O., Scolnic, D. M., Riess, A. G., et al. 2018, ApJ, 857, 51

Kessler, R., Conley, A., Jha, S., & Kuhlmann, S. 2010a, arXiv:1001.5210 [astro-ph], arXiv: 1001.5210

Kessler, R., Bassett, B., Belov, P., et al. 2010b, PASP, 122, 1415

Kim, E. J., & Brunner, R. J. 2017, Mon Not R Astron Soc, 464, 4463

Kim, E. J., Brunner, R. J., & Carrasco Kind, M. 2015, Mon Not R Astron Soc, 453, 507

Kitching, T., Amara, A., Gill, M., et al. 2011, Ann. Appl. Stat., 5, 2231

Lochner, M., McEwen, J. D., Peiris, H. V., Lahav, O., & Winter, M. K. 2016, ApJS, 225, 31

Mahabal, A., Sheth, K., Gieseke, F., et al. 2017, in 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1{8

Mahabal, A., Djorgovski, S. G., Turmon, M., et al. 2008, Astronomische Nachrichten, 329, 288

Malz, A. I., Marshall, P. J., DeRose, J., et al. 2018, AJ, 156, 35

Malz, A. I., Peters, C. M., & Hlozek, R. 2018, in prep.

30 references, page 1 of 2
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