Autonomous real-time science-driven follow-up in the era of LSST

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Fil: Orellana, Mariana. Universidad Nacional de Río Negro. Sede Andina; Argentina.

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Autores principales: Srava, Niharika, Milisavljevic, Dan, Subrayan, Bhagya, Weil, Kathryn, Lentner, Geoffrey, Linvill, Marie Louise, Banovetz, John, Reynolds, Jamie D., Wright, Aidan K., Andrews, Michael, Markey, Carleen, Earnhardt, Allison N., Lee, R., Townsend, Jonathan P, Dickinson, Daniel J., Parker, Stephanie, Margutti, Raffaella, Chornock, Ryan, Moriya, Takashi, Bersten, Melina, Orellana, Mariana Dominga
Lenguaje:Inglés
Publicado: 2021
Materias:
Astronomía
Ciencias de la Computación e Información
time-domain surveys
supernovae
Acceso en línea:https://baas.aas.org/pub/2021n1i211p05/release/1
https://ui.adsabs.harvard.edu/abs/2021AAS...23721105S/abstract
http://rid.unrn.edu.ar/handle/20.500.12049/8459
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Repositorio Institucional Digital de la Universidad Nacional de Río Negro (UNRN) de Universidad Nacional de Río Negro
id I65-R171-20.500.12049-8459
record_format dspace
spelling I65-R171-20.500.12049-84592023-09-13T15:37:21Z application/pdf info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ 2021-01 Fil: Orellana, Mariana. Universidad Nacional de Río Negro. Sede Andina; Argentina. Fil: Orellana, Mariana. CONICET; Argentina. Fil: Moriya, Takashi. Division of Theoretical Astronomy, National Astronomical Observatory of Japan, National Institutes of Natural Sciences; Japan Fil: Bersten, Melina. CONICET Fil: Bersten, Melina. Instituto de Astrofísica de La Plata, CONICET-UNLP; Argentina. Fil: Sravan, N. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Milisavljevic, D. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Subrayan, B. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Weil, K. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Lentner, G. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Linvill, M. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Banovetz, J. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Reynolds, J. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Wright, A. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Andrews, M. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Markey, C. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Earnhardt, A. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Lee, R. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Townsend, J. Physics and Astronomy, Purdue University, West Lafayette, IN. Fil: Dickinson, D. University of Arizona, Tucson, AZ. Fil: Parker, S. Parkdale Observatory, Oxford, New Zealand. Fil: Margutti, R. Northwestern University, Evanston, IL. Fil: Chornock, R. Northwestern University, Evanston, IL. Autonomous real-time science-driven follow-up in the era of LSST Srava, Niharika Milisavljevic, Dan Subrayan, Bhagya Weil, Kathryn Lentner, Geoffrey Linvill, Marie Louise Banovetz, John Reynolds, Jamie D. Wright, Aidan K. Andrews, Michael Markey, Carleen Earnhardt, Allison N. Lee, R. Townsend, Jonathan P Dickinson, Daniel J. Parker, Stephanie Margutti, Raffaella Chornock, Ryan Moriya, Takashi Bersten, Melina Orellana, Mariana Dominga Astronomía Ciencias de la Computación e Información time-domain surveys supernovae Astronomía Ciencias de la Computación e Información The deluge of data from time-domain surveys is rendering traditional human-guided data collection and inference techniques impractical. In order to maximize the science potential of surveys and follow-up resources, autonomous systems reacting in real-time to maximize diverse science goals are needed. We designate the class of systems that strategize and coordinate value-driven follow-up in real-time ORACLEs (Object Recommender for Augmentation and Coordinating Liaison Engine) and demonstrate key underlying principles in a prototype ORACLE called Recommender Engine For Intelligent Transient Tracking (REFITT). REFITT is an autonomous real-time decision support and resource allocation system that ingests live alerts from surveys and value-added inputs from data brokers, and using machine-learning based predictive modeling for sparse multi-channel time-series strategizes, optimal follow-up using value-based metrics. We validate the performance of REFITT given simulated core-collapse supernova light-curves from the Rubin Observatory Legacy Survey of Space and Time, and value-added inputs from data brokers. We suggest that ORACLEs like REFITT are an essential component in the broader software infrastructure necessary to support survey science. https://baas.aas.org/pub/2021n1i211p05/release/1 https://ui.adsabs.harvard.edu/abs/2021AAS...23721105S/abstract http://rid.unrn.edu.ar/handle/20.500.12049/8459 en https://baas.aas.org/ Bulletin of the AAS
institution Universidad Nacional de Río Negro
institution_str I-65
repository_str R-171
collection Repositorio Institucional Digital de la Universidad Nacional de Río Negro (UNRN)
language Inglés
orig_language_str_mv en
topic Astronomía
Ciencias de la Computación e Información
time-domain surveys
supernovae
Astronomía
Ciencias de la Computación e Información
spellingShingle Astronomía
Ciencias de la Computación e Información
time-domain surveys
supernovae
Astronomía
Ciencias de la Computación e Información
Srava, Niharika
Milisavljevic, Dan
Subrayan, Bhagya
Weil, Kathryn
Lentner, Geoffrey
Linvill, Marie Louise
Banovetz, John
Reynolds, Jamie D.
Wright, Aidan K.
Andrews, Michael
Markey, Carleen
Earnhardt, Allison N.
Lee, R.
Townsend, Jonathan P
Dickinson, Daniel J.
Parker, Stephanie
Margutti, Raffaella
Chornock, Ryan
Moriya, Takashi
Bersten, Melina
Orellana, Mariana Dominga
Autonomous real-time science-driven follow-up in the era of LSST
topic_facet Astronomía
Ciencias de la Computación e Información
time-domain surveys
supernovae
Astronomía
Ciencias de la Computación e Información
description Fil: Orellana, Mariana. Universidad Nacional de Río Negro. Sede Andina; Argentina.
author Srava, Niharika
Milisavljevic, Dan
Subrayan, Bhagya
Weil, Kathryn
Lentner, Geoffrey
Linvill, Marie Louise
Banovetz, John
Reynolds, Jamie D.
Wright, Aidan K.
Andrews, Michael
Markey, Carleen
Earnhardt, Allison N.
Lee, R.
Townsend, Jonathan P
Dickinson, Daniel J.
Parker, Stephanie
Margutti, Raffaella
Chornock, Ryan
Moriya, Takashi
Bersten, Melina
Orellana, Mariana Dominga
author_facet Srava, Niharika
Milisavljevic, Dan
Subrayan, Bhagya
Weil, Kathryn
Lentner, Geoffrey
Linvill, Marie Louise
Banovetz, John
Reynolds, Jamie D.
Wright, Aidan K.
Andrews, Michael
Markey, Carleen
Earnhardt, Allison N.
Lee, R.
Townsend, Jonathan P
Dickinson, Daniel J.
Parker, Stephanie
Margutti, Raffaella
Chornock, Ryan
Moriya, Takashi
Bersten, Melina
Orellana, Mariana Dominga
author_sort Srava, Niharika
title Autonomous real-time science-driven follow-up in the era of LSST
title_short Autonomous real-time science-driven follow-up in the era of LSST
title_full Autonomous real-time science-driven follow-up in the era of LSST
title_fullStr Autonomous real-time science-driven follow-up in the era of LSST
title_full_unstemmed Autonomous real-time science-driven follow-up in the era of LSST
title_sort autonomous real-time science-driven follow-up in the era of lsst
publishDate 2021
url https://baas.aas.org/pub/2021n1i211p05/release/1
https://ui.adsabs.harvard.edu/abs/2021AAS...23721105S/abstract
http://rid.unrn.edu.ar/handle/20.500.12049/8459
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