Deep-learning event reconstruction for the Cherenkov Telescope Array Observatory with CTLearn
Year: 2025
Type: conference-paper
Abstract: The Cherenkov Telescope Array Observatory (CTAO) is the next-generation ground-based obser- vatory for very-high-energy (VHE) gamma-ray astronomy. The Large-Sized Telescope prototype, LST-1, located on the Canary Island of La Palma, is responsible for observation of the low-energy range of the VHE gamma-ray spectrum. It is undergoing commissioning and has already observed the Crab Nebula as a standard reference source. Accurate reconstruction of shower parameters (e.g. energy, direction, and particle type) is crucial for achieving the scientific goals of the CTAO. In this work, we use CTLearn to implement deep-learning event reconstruction, as an alternative to the standard Random Forest method. CTLearn is built to be fully compatible with ctapipe, a framework for prototyping the low-level data processing algorithms for the CTAO, and can be seamlessly used for data analysis without changing the general framework. It implements convolution-neural-network based models that take the integrated charge and the relative peak time of calibrated pixels in cleaned images as an input, to infer the primary particle’s properties. Using Crab Nebula observations as a validation sample, we explore two different approaches. The first is to train a model with Monte-Carlo (MC) simulations covering all possible altitude-azimuth coordinates of the Crab Nebula sample observations, resulting in a single model that can be used to reconstruct events from any Crab Nebula observations. The second approach is to train 10 models along this coordinate line, each incorporating a range of ~10° in altitude. In this contribution, we present our investigation of the performance of CTLearn models, and highlight the potential of CTLearn for future data analysis in CTAO.
DOI: 10.22323/1.501.0718
Authors: Bastien Lacave, Tjark Miener, A. Cerviño, CTAO-LST Project
Institutions: Universidad Complutense de Madrid, University of Geneva
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Funders: National Science Foundation, Sveučilište u Zagrebu, Comunidad de Madrid, Ministerio de Ciencia, Innovación y Universidades, Centres de Recerca de Catalunya, European Commission, Deutsche Forschungsgemeinschaft, Ministry of Education, Culture, Sports, Science and Technology, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Fundação de Amparo à Pesquisa do Estado de São Paulo, Ministerstvo Školství, Mládeže a Tělovýchovy, Bundesministerium für Bildung und Forschung, Generalitat de Catalunya, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Max-Planck-Gesellschaft, Narodowe Centrum Nauki, Hrvatska Zaklada za Znanost, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Fundação Araucária, Centre National de la Recherche Scientifique, Ministerio de Ciencia e Innovación, Istituto Nazionale di Astrofisica, Sveučilište Josipa Jurja Strossmayera u Osijeku, Junta de Andalucía, Ministério da Ciência, Tecnologia, Inovações e Comunicações, Istituto Nazionale di Fisica Nucleare, Japan Society for the Promotion of Science, Consejo Superior de Investigaciones Científicas, Staatssekretariat für Bildung, Forschung und Innovation, European Regional Development Fund, Agencia Estatal de Investigación, Institut National de Physique Nucléaire et de Physique des Particules, Institute for Cosmic Ray Research, University of Tokyo
Awards: G1059663884, G1089506725, G120905174, G1272927172, G1293671712, G1301723534, G1323383031, G1325701057, G1381791653, G1449231074, G1485410139, G176604203, G1767413778, G1888088267, G1953887145, G195395952, G196419191, G2030784793, G2209488408, G2233160401, G2309174360, G2313451655, G2507835933, G2554159582, Cherenkov Telescope Array - participation of the Czech Republic, G265847165, G2660406951, G2753747443, G278595929, G282847690, G291036901, G2988934680, Fermi gases in complex lattice structures: from Dirac points to Spin liquids, G302750986, G304813024, G3197651753, G3207356259, G3384621141, G3439265645, G3480869486, G348919436, G3490171961, G357246561, G3622461675, G363809202, G3690828678, G3715634343, G3735356012, G373897614, G3780874795, G3817602061, G3869365384, G393177772, G3978510197, G4087634877, G4104599821, G4238322289, G4317403835, G434337789, 癌細胞の遊離, 定着機構と転移抑制に関する研究, The Preparatory Phase for the Cherenkov Telescope Array
(CTA-PP), G463062595, G4760961572, G483893733, 原子炉による悪性皮膚腫瘍の選択的治療, G496129201, INtelligent Fast Interconnected and Efficient Devices for Frontier Exploitation in Research and Industry, G5011157824, G5080475149, G5243814431, Very-high-energy Gamma Ray Astronomy in the Multi-messenger Era, G529962013, G531036588, G545007060, G5555131222, G5641063287, G5662822759, G5702163051, G5845768719, G5894067328, G5915139351, G5916014575, Cherenkov Telescope Array: Infrastructure Development and Start of Implementation, G6033112984, G617610489, G6513613686, European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures, G6649312515, G6791753710, G6941735741, G696452451, G7084143925, G7191602444, G7363506711, G7392162325, G7425137858, 古代説話における諸寺縁起の研究, G7805626310, G8079053745, G8347645112, G8373891351, G8546142835, G8639560392, G8684520763, G8752642921, G8792602865, G8920101981
OpenAlex ID: W4414530072
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