دورية أكاديمية

Enabling discoveries of Solar System objects in large alert data streams

التفاصيل البيبلوغرافية
العنوان: Enabling discoveries of Solar System objects in large alert data streams
المؤلفون: Le Montagner, R, Peloton, J, Carry, B, Desmars, J., Hestroffer, D, Mendez, R, A, Perlbarg, A, C, Thuillot, W
المساهمون: Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Observatoire de la Côte d'Azur (OCA), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique des Sciences Avancées (IPSA), Institut de Mécanique Céleste et de Calcul des Ephémérides (IMCCE), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Lille-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
المصدر: ISSN: 0004-6361.
بيانات النشر: HAL CCSD
EDP Sciences
سنة النشر: 2023
المجموعة: HAL-IN2P3 (Institut national de physique nucléaire et de physique des particules)
مصطلحات موضوعية: surveys -methods: data analysis -minor planets, asteroids: general, [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]
الوصف: International audience ; Context. With the advent of large-scale astronomical surveys, such as the Zwicky Transient Facility (ZTF) and the forthcoming Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST), the number of alerts generated by transient, variable, and moving astronomical objects is growing rapidly, reaching millions of alerts per night. Concerning the minor planets of the Solar System, their identification requires linking the alerts for many observations over a potentially lengthy period of time, leading to a very large combinatorial number.Aims. The goal is to demonstrate how a third-party module dedicated to the identification of new minor planets of the Solar System can be integrated with the Fink alert broker real-time operations, which deals with massive alert data streams produced by large-scale surveys.Methods. Our analysis takes advantage of the scientific surplus brought on by the Fink alert broker classification capabilities to first reduce the 111 275 131 processed alerts from ZTF between November 2019 and December 2022 (755 observation nights) to only 389 530 new Solar System alert candidates over the same period. We implemented a simple, yet pedagogical linking algorithm called Fink-FAT to create trajectory candidates in real time from alert data and extract orbital parameters. The analysis was validated on ZTF alert packets linked to confirmed Solar System objects from the Minor Planet Center (MPC) database. Finally, the candidates were confronted with follow-up observations.Results. Between November 2019 and December 2022, Fink-FAT extracted 327 new orbits from candidate Solar System objects at the time of the observations, of which 65 had still remained unreported in the MPC database as of March 2023. After two late follow-up observation campaigns of six orbit candidates, four were associated with known minor planets of the Solar System, and two still remain unknown. In terms of performance, Fink-FAT took under 3 h to link alerts into trajectory candidates and to ...
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2305.01123; hal-04538209; https://hal.science/hal-04538209Test; https://hal.science/hal-04538209/documentTest; https://hal.science/hal-04538209/file/2023_LeMontagner.pdfTest; ARXIV: 2305.01123; INSPIRE: 2656047
DOI: 10.1051/0004-6361/202346905
الإتاحة: https://doi.org/10.1051/0004-6361/202346905Test
https://hal.science/hal-04538209Test
https://hal.science/hal-04538209/documentTest
https://hal.science/hal-04538209/file/2023_LeMontagner.pdfTest
حقوق: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.FD06B2A3
قاعدة البيانات: BASE