<i>Euclid</i>: Detecting Solar System objects in <i>Euclid</i> images and classifying them using Kohonen self-organising maps

The ESA Euclid mission will survey more than 14 000 deg 2 of the sky in visible and near-infrared wavelengths, mapping the extragalactic sky to constrain our cosmological model of the Universe. Although the survey focusses on regions further than 15° from the ecliptic, it should allow for the detection of more than about 10 5 Solar System objects (SSOs). After simulating the expected signal from SSOs in Euclid images acquired with the visible camera (VIS), we describe an automated pipeline developed to detect moving objects with an apparent velocity in the range of 0.1–10″ h −1 , typically corresponding to sources in the outer Solar System (from Centaurs to Kuiper-belt objects). In particular, the proposed detection scheme is based on SExtractor software and on applying a new algorithm capable of associating moving objects amongst different catalogues. After applying a suite of filters to improve the detection quality, we study the expected purity and completeness of the SSO detections. We also show how a Kohonen self-organising neural network can be successfully trained (in an unsupervised fashion) to classify stars, galaxies, and SSOs. By implementing an early-stopping method in the training scheme, we show that the network can be used in a predictive way, allowing one to assign the probability of each detected object being a member of each considered class.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-02-01
DOI
https://doi.org/10.1051/0004-6361/202451767
Citations
1
Primary Topic
Astro and Planetary Science
Type
article
Field-Weighted Citation Impact
1.15

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article

Euclid: Detecting Solar System objects in Euclid images and classifying them using Kohonen self-organising maps

G. Seidel, Mikael Granvik, R. P. Saglia, P. Tallada-Crespí et al.
1 citations
Astronomy and Astrophysics
Astro and Planetary Science
1.15
article

Euclid: Detecting Solar System objects in Euclid images and classifying them using Kohonen self-organising maps

G. Seidel, Mikael Granvik, R. P. Saglia, P. Tallada-Crespí, S Sacquegna, P. Hudelot, G. Riccio, C. Sirignano, M. Brescia, M. Bolzonella, R Nakajima, R. Vavrek, J. Carretero, M. Schirmer, J. Steinwagner, F. Marulli, C. Giocoli, O. Marggraf, S. Casas, A. Franco, F. Courbin, Y. Copin, P. Schneider, A. Grazian, M. Jhabvala, G. Sirri, S. Bardelli, V. Capobianco, L. Moscardini, S.-M Niemi, F. Strafella, M Miluzio, S. Farrens, E. Zucca, S. Andreon, S. Pires, A. Kiessling, S. V. H. Haugan, R. Massey, T. Vassallo, C.J. Conselice, S. Paltani, R. Toledo-Moreo, M. Moresco, J. Brinchmann, J. Skottfelt, M. Kilbinger, D. Sapone, M. Meneghetti, M. Castellano, M. Poncet, G. Congedo, L. Valenziano, C. Burigana, A. M. Di Giorgio, I. Tutusaus, H. Degaudenzi, O. Mansutti, N. Aghanim, F. Torradeflot, V. Orofino, C. Padilla Aranda, E. Maiorano, B. Gillis, M. Roncarelli, F. Dubath, F. De Paolis, A. Hornstrup, E. Medinaceli, M. Pöntinen, K. Jahnkę, V. Pettorino, B. Altieri, A. Secroun, F. Hormuth, M. Farina, V. Testa, F. Pasian, V. Kansal, J. Weller, H Kurki-Suonio, S. Ligori, F. Grupp, A. Zacchei, S. Galeotta, E. Franceschi, Marco Baldi, K. Pedersen, P. Gómez-Álvarez, N. Martinet, S. Dusini, A. A. Nucita, K. Markovič, S. Camera, J. Dinis, V. Lindholm, R. Rébolo, G. Verdoes Kleijn, A da Silva, E. Keihänen, B. Sartoris, G. Castignani, M. Maiorano, B. Carry, E. Romelli, S. Cavuoti, M. Frailis, V Scottez, M. Fumana, C. Carbone, S. Serrano, S. Kermiche, G. Meylan, S. Ferriol, P. B. Lilje, A Veropalumbo, G. Polenta, E. Rossetti, I. Lloro, E. Branchini, M. Kümmel, L. Pozzetti, N. Auricchio, A. Cimatti, H. M. Courtois, Yun Wang, X. Dupac, I. Tereno, L. A. Popa, R. Kohley, S. Mei, A.N Taylor, W. A. Holmes, R. Laureijs, Daniel Masters, J. Rhodes, L. Stanco, L. Conversi, F. Raison, B. Kubik, Y. Mellier, A. Verdier, A. Renzi
article en
1 citations

Abstract

The ESA Euclid mission will survey more than 14 000 deg 2 of the sky in visible and near-infrared wavelengths, mapping the extragalactic sky to constrain our cosmological model of the Universe. Although the survey focusses on regions further than 15° from the ecliptic, it should allow for the detection of more than about 10 5 Solar System objects (SSOs). After simulating the expected signal from SSOs in Euclid images acquired with the visible camera (VIS), we describe an automated pipeline developed to detect moving objects with an apparent velocity in the range of 0.1–10″ h −1 , typically corresponding to sources in the outer Solar System (from Centaurs to Kuiper-belt objects). In particular, the proposed detection scheme is based on SExtractor software and on applying a new algorithm capable of associating moving objects amongst different catalogues. After applying a suite of filters to improve the detection quality, we study the expected purity and completeness of the SSO detections. We also show how a Kohonen self-organising neural network can be successfully trained (in an unsupervised fashion) to classify stars, galaxies, and SSOs. By implementing an early-stopping method in the training scheme, we show that the network can be used in a predictive way, allowing one to assign the probability of each detected object being a member of each considered class.

Astronomy and AstrophysicsVol. 694
Université Claude Bernard Lyon 1 (FR), University of Geneva (CH), California Institute of Technology (US), Centre National de la Recherche Scientifique (FR), Goddard Space Flight Center (US), Institute of Space Sciences (ES), Jet Propulsion Laboratory (US), University of Helsinki (FI), Université Toulouse III - Paul Sabatier (FR), University of Bonn (DE), University of Padua (IT), University of Lisbon (PT), University of Salento (IT), Universidad de La Laguna (ES), University of Groningen (NL), Université Fédérale de Toulouse Midi-Pyrénées (FR), Université Catholique de Lille (FR), Universidade do Porto (PT), University of Oslo (NO), Institute for High Energy Physics (ES), Durham University (GB), Luleå University of Technology (SE), Université Côte d'Azur (FR), The Open University (GB), Aarhus University (DK), Université Paris Cité (FR), Aix-Marseille Université (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Centre National d'Études Spatiales (FR), W.M. Keck Observatory (US), Helsinki Institute of Physics (FI), Astronomical Observatory of Rome (IT), Agenzia Spaziale Italiana (IT), Trieste Astronomical Observatory (IT), Institut d'Astrophysique de Paris (FR), Astronomical Observatory of Capodimonte (IT), Laboratoire AstroParticule et Cosmologie (FR), Brera Astronomical Observatory (IT), University of Manchester (GB), Universidad Politécnica de Cartagena (ES), Sorbonne Université (FR), Técnicas Reunidas (Spain) (ES), Astrophysique, Instrumentation et Modélisation (FR), Institute of Astrophysics and Space Sciences (PT), ARC Centre of Excellence for Dark Matter Particle Physics (AU), Max Planck Institute for Extraterrestrial Physics (DE), Institut d'Estudis Espacials de Catalunya (ES), European Space Astronomy Centre (ES), Istituto Nazionale di Fisica Nucleare, Sezione di Lecce (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Torino (IT), Institute for Space Astrophysics and Planetology (IT), Institut d'Astrophysique Spatiale (FR), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Osservatorio Astrofisico di Torino (IT), Royal Observatory (GB), Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (IT), Max Planck Institute for Astronomy (DE), Istituto di Radioastronomia di Bologna (IT), Federico II University Hospital (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Genova (IT), Observatoire de la Côte d’Azur (FR), CEA Paris-Saclay (FR), Instituto de Astrofísica de Canarias (ES), Institut National de Physique Nucléaire et de Physique des Particules (FR), Institute of Space Science - INFLPR Subsidiary (RO), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT), Port d'Informació Científica (ES), Institute for Fundamental Physics of the Universe (IT), Osservatorio Astronomico di Padova (IT), European Space Research Institute (IT), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), Institut de Recherche en Astrophysique et Planétologie (FR), Infrared Processing and Analysis Center (US), Osservatorio di Astrofisica e Scienza dello Spazio, European Space Research and Technology Centre (NL), École Polytechnique Fédérale de Lausanne (CH), University of Turin (IT), Swinburne University of Technology (AU), University of Chile (CL), Ludwig-Maximilians-Universität München (DE), University of Genoa (IT), National Institute for Astrophysics (IT), RWTH Aachen University (DE), Netherlands Institute for Radio Astronomy (NL), University of Bologna (IT), Universitat Politècnica de Catalunya (ES), Technical University of Denmark (DK), University of Edinburgh (GB)
National Aeronautics and Space Administration, European Space Agency, European Commission, Magyar Tudományos Akadémia, Agenzia Spaziale Italiana, National Astronomical Observatory of Japan, Agenția Spațială Română, Norsk Romsenter, Science and Technology Facilities Council, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 21%
Astro and Planetary Science
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