A search for Elves in Mini-EUSO data using CNN-based one-class classifier

JEM-EUSO Collaboration

A search for Elves in Mini-EUSO data using CNN-based one-class classifier

JEM-EUSO Collaboration

École Polytechnique

University of Warsaw
Nihon University
University of Alabama in Huntsville
Astroparticule and Cosmol APC
Gran Sasso Science Institute
Lehman College
INFN Sezione di Catania
INAF Istituto di Astrofisica Spaziale e Fisica Cosmica di Palermo
INFN Sezione di Torino
University of Turin
College of Computing
Istituto di Astrofisica e Planetologia Spaziali (IAPS)
INFN Sezione di Bari
Università degli studi di Bari Aldo Moro
Moscow State University
NASA Marshall Space Flight Center
INFN Roma Tor Vergata
Riken
KTH Royal Institute of Technology
University of Chicago
University of Rome “Tor Vergata”
INFN Sezione di Napoli
Max-Planck-Institut für Physik
Università degli Studi di Catania
Joint Laboratory of Optics
University of Naples Federico II
UTIU
University of California, Space Sciences Laboratory
Pennsylvania State University
Science and Research Directorate
Colorado School of Mines
University of Tokyo
Institute of Meteorology and Climate Research
Konan University
Korea Astronomy and Space Science Institute
NASA Goddard Space Flight Center
Institute of Physics of the Czech Academy of Sciences
National Centre for Nuclear Research
University of Utah
Univ. Mentouri de Constantine
National Astronomical Observatory
University of Iowa
Joint Institute for Nuclear Research, Dubna
Institut Universitaire de France
Sungkyunkwan University
LNF-INFN
Space Regatta Consortium
Hokkaido University
Shinshu University
University of Geneva
Centre de Développement des Technologies Avancées
Fairfield University

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

1 Citation (Scopus)

Résumé

Mini-EUSO is a small, near-UV telescope observing the Earth and its atmosphere from the International Space Station. The time resolution of 2.5 microseconds and the instantaneous ground coverage of about 320 × 320 km² allows it to detect some Transient Luminous Events, including Elves. Elves, with their almost circular shape and a radius expanding in time form cone-like structures in space-time, which are usually easy to be recognised by the eye, but not simple to filter out from the myriad of other events, many of them not yet categorised. In this work, we present a fast and efficient approach for detecting Elves in the data using a 3D CNN-based one-class classifier.

langue originale	Anglais
Numéro d'article	333
journal	Proceedings of Science
Volume	444
état	Publié - 27 sept. 2024
Evénement	38th International Cosmic Ray Conference, ICRC 2023 - Nagoya, Japon Durée: 26 juil. 2023 → 3 août 2023

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@article{743f3a5c2d2f47e683b14432fa18dd45,

title = "A search for Elves in Mini-EUSO data using CNN-based one-class classifier",

abstract = "Mini-EUSO is a small, near-UV telescope observing the Earth and its atmosphere from the International Space Station. The time resolution of 2.5 microseconds and the instantaneous ground coverage of about 320 {\texttimes} 320 km2 allows it to detect some Transient Luminous Events, including Elves. Elves, with their almost circular shape and a radius expanding in time form cone-like structures in space-time, which are usually easy to be recognised by the eye, but not simple to filter out from the myriad of other events, many of them not yet categorised. In this work, we present a fast and efficient approach for detecting Elves in the data using a 3D CNN-based one-class classifier.",

author = "\{JEM-EUSO Collaboration\} and Piotrowski, \{Lech Wiktor\} and S. Abe and Adams, \{J. H.\} and D. Allard and P. Alldredge and R. Aloisio and L. Anchordoqui and A. Anzalone and E. Arnone and M. Bagheri and B. Baret and D. Barghini and M. Battisti and R. Bellotti and Belov, \{A. A.\} and M. Bertaina and Bertone, \{P. F.\} and M. Bianciotto and F. Bisconti and C. Blaksley and S. Blin-Bondil and K. Bolmgren and S. Briz and J. Burton and F. Cafagna and G. Cambi{\'e} and D. Campana and F. Capel and R. Caruso and M. Casolino and C. Cassardo and A. Castellina and K. {\v C}ern{\'y} and Christl, \{M. J.\} and R. Colalillo and L. Conti and G. Cotto and Crawford, \{H. J.\} and R. Cremonini and A. Creusot and A. Cummings and \{de Castro G{\'o}nzalez\}, A. and \{de la Taille\}, C. and R. Diesing and P. Dinaucourt and \{Di Nola\}, A. and T. Ebisuzaki and J. Eser and F. Fenu and S. Ferrarese",

note = "Publisher Copyright: {\textcopyright} Copyright owned by the author(s) under the terms of the Creative Commons.; 38th International Cosmic Ray Conference, ICRC 2023 ; Conference date: 26-07-2023 Through 03-08-2023",

year = "2024",

month = sep,

day = "27",

language = "English",

volume = "444",

journal = "Proceedings of Science",

issn = "1824-8039",

publisher = "Sissa Medialab Srl",

}

TY - JOUR

T1 - A search for Elves in Mini-EUSO data using CNN-based one-class classifier

AU - JEM-EUSO Collaboration

AU - Piotrowski, Lech Wiktor

AU - Abe, S.

AU - Adams, J. H.

AU - Allard, D.

AU - Alldredge, P.

AU - Aloisio, R.

AU - Anchordoqui, L.

AU - Anzalone, A.

AU - Arnone, E.

AU - Bagheri, M.

AU - Baret, B.

AU - Barghini, D.

AU - Battisti, M.

AU - Bellotti, R.

AU - Belov, A. A.

AU - Bertaina, M.

AU - Bertone, P. F.

AU - Bianciotto, M.

AU - Bisconti, F.

AU - Blaksley, C.

AU - Blin-Bondil, S.

AU - Bolmgren, K.

AU - Briz, S.

AU - Burton, J.

AU - Cafagna, F.

AU - Cambié, G.

AU - Campana, D.

AU - Capel, F.

AU - Caruso, R.

AU - Casolino, M.

AU - Cassardo, C.

AU - Castellina, A.

AU - Černý, K.

AU - Christl, M. J.

AU - Colalillo, R.

AU - Conti, L.

AU - Cotto, G.

AU - Crawford, H. J.

AU - Cremonini, R.

AU - Creusot, A.

AU - Cummings, A.

AU - de Castro Gónzalez, A.

AU - de la Taille, C.

AU - Diesing, R.

AU - Dinaucourt, P.

AU - Di Nola, A.

AU - Ebisuzaki, T.

AU - Eser, J.

AU - Fenu, F.

AU - Ferrarese, S.

PY - 2024/9/27

Y1 - 2024/9/27

N2 - Mini-EUSO is a small, near-UV telescope observing the Earth and its atmosphere from the International Space Station. The time resolution of 2.5 microseconds and the instantaneous ground coverage of about 320 × 320 km2 allows it to detect some Transient Luminous Events, including Elves. Elves, with their almost circular shape and a radius expanding in time form cone-like structures in space-time, which are usually easy to be recognised by the eye, but not simple to filter out from the myriad of other events, many of them not yet categorised. In this work, we present a fast and efficient approach for detecting Elves in the data using a 3D CNN-based one-class classifier.

AB - Mini-EUSO is a small, near-UV telescope observing the Earth and its atmosphere from the International Space Station. The time resolution of 2.5 microseconds and the instantaneous ground coverage of about 320 × 320 km2 allows it to detect some Transient Luminous Events, including Elves. Elves, with their almost circular shape and a radius expanding in time form cone-like structures in space-time, which are usually easy to be recognised by the eye, but not simple to filter out from the myriad of other events, many of them not yet categorised. In this work, we present a fast and efficient approach for detecting Elves in the data using a 3D CNN-based one-class classifier.

UR - https://www.scopus.com/pages/publications/85212284898

M3 - Conference article

AN - SCOPUS:85212284898

SN - 1824-8039

VL - 444

JO - Proceedings of Science

JF - Proceedings of Science

M1 - 333

T2 - 38th International Cosmic Ray Conference, ICRC 2023

Y2 - 26 July 2023 through 3 August 2023

ER -

A search for Elves in Mini-EUSO data using CNN-based one-class classifier

Résumé

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