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arXiv 2023年

作者： Luque, R. Osborn, H.P. Leleu, A. Pallé, E. Bonfanti, A. Barragán, O. Wilson, T.G. Broeg, C. Cameron, A. Collier Lendl, M. Maxted, P.F.L. Alibert, Y. Gandolfi, D. Delisle, J.-B. Hooton, M.J. Egger, J.A. Nowak, G. Lafarga, M. Rapetti, D. Twicken, J.D. Morales, J.C. Carleo, I. Orell-Miquel, J. Adibekyan, V. Alonso, R. Alqasim, A. Amado, P.J. Anderson, D.R. Anglada-Escudé, G. Bandy, T. Bárczy, T. Navascues, D. Barrado Barros, S.C.C. Baumjohann, W. Bayliss, D. Bean, J.L. Beck, M. Beck, T. Benz, W. Billot, N. Bonfils, X. Borsato, L. Boyle, A.W. Brandeker, A. Bryant, E.M. Cabrera, J. Gaxiola, S. Carrazco Charbonneau, D. Charnoz, S. Ciardi, D.R. Cochran, W.D. Collins, K.A. Crossfield, I.J.M. Csizmadia, Sz. Cubillos, P.E. Dai, F. Davies, M.B. Deeg, H.J. Deleuil, M. Deline, A. Delrez, L. Demangeon, O.D.S. Demory, B.-O. Ehrenreich, D. Erikson, A. Esparza-Borges, E. Falk, B. Fortier, A. Fossati, L. Fridlund, M. Fukui, A. Garcia-Mejia, J. Gill, S. Gillon, M. Goffo, E. Chew, Y. Gomez Maqueo Güdel, M. Guenther, E.W. Günther, M.N. Hatzes, A.P. Helling, Ch. Hesse, K.M. Howell, S.B. Hoyer, S. Ikuta, K. Isaak, K.G. Jenkins, J.M. Kagetani, T. Kiss, L.L. Kodama, T. Korth, J. Lam, K.W.F. Laskar, J. Latham, D.W. des Etangs, A. Lecavelier Leon, J.P.D. Livingston, J.H. Magrin, D. Matson, R.A. Matthews, E.C. Mordasini, C. Mori, M. Moyano, M. Munari, M. Murgas, F. Narita, N. Nascimbeni, V. Olofsson, G. Osborne, H.L.M. Ottensamer, R. Pagano, I. Parviainen, H. Peter, G. Piotto, G. Pollacco, D. Queloz, D. Quinn, S.N. Quirrenbach, A. Ragazzoni, R. Rando, N. Ratti, F. Rauer, H. Redfield, S. Ribas, I. Ricker, G.R. Rudat, A. Sabin, L. Salmon, S. Santos, N.C. Scandariato, G. Schanche, N. Schlieder, J.E. Seager, S. Ségransan, D. Shporer, A. Simon, A.E. Smith, A.M.S. Sousa, S.G. Stalport, M. Szabó, Gy.M. Thomas, N. Tuson, A. Udry, S. Vanderburg, A.M. Van Eylen, V. Van Grootel, V. Venturini, J. Walter, I. Walton, N.A. Watanabe, N. Winn, J.N. Zingales, T. Department of Astronomy & Astrophysics University of Chicago ChicagoIL60637 United States Space Research and Planetary Sciences Physics Institute University of Bern Gesellschaftsstrasse 6 Bern3012 Switzerland Department of Physics Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA02139 United States Observatoire Astronomique de l’Université de Genève Chemin Pegasi 51 Versoix1290 Switzerland Instituto de Astrofisica de Canarias Via Lactea s/n Tenerife La Laguna38200 Spain Departamento de Astrofisica Universidad de La Laguna Astrofísico Francisco Sanchez s/n Tenerife La Laguna38206 Spain Space Research Institute Austrian Academy of Sciences Schmiedlstrasse 6 GrazA-8042 Austria Sub-department of Astrophysics Department of Physics University of Oxford OxfordOX1 3RH United Kingdom Centre for Exoplanet Science SUPA School of Physics and Astronomy University of St Andrews North Haugh St AndrewsKY16 9SS United Kingdom Department of Physics University of Warwick Gibbet Hill Road CoventryCV4 7AL United Kingdom Centre for Exoplanets and Habitability University of Warwick CoventryCV4 7AL United Kingdom Center for Space and Habitability University of Bern Gesellschaftsstrasse 6 Bern3012 Switzerland Astrophysics Group Lennard Jones Building Keele University StaffordshireST5 5BG United Kingdom Dipartimento di Fisica Universita degli Studi di Torino via Pietro Giuria 1 TorinoI-10125 Italy Cavendish Laboratory JJ Thomson Avenue CambridgeCB3 0HE United Kingdom Institute of Astronomy Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Grudzicadzka 5 Torun87-100 Poland NASA Ames Research Center Moffett FieldCA94035 United States Research Institute for Advanced Computer Science Universities Space Research Association WashingtonDC20024 United States SETI Institute Mountain ViewCA94043 United States Campus UAB Can Magrans s/n Bellaterra08193 Spain Gran Capità

Planets with radii between that of the Earth and Neptune (hereafter referred to as "sub-Neptunes") are found in close-in orbits around more than half of all Sun-like stars [1, 2]. Yet, their composition, formation, and evolution remain poorly understood [3]. The study of multi-planetary systems offers an opportunity to investigate the outcomes of planet formation and evolution while controlling for initial conditions and environment. Those in resonance (with their orbital periods related by a ratio of small integers) are particularly valuable because they imply a system architecture practically unchanged since its birth. Here, we present the observations of six transiting planets around the bright nearby star HD 110067. We find that the planets follow a chain of resonant orbits. A dynamical study of the innermost planet triplet allowed the prediction and later confirmation of the orbits of the rest of the planets in the system. The six planets are found to be sub-Neptunes with radii ranging from 1.94 to 2.85 R☉. Three of the planets have measured masses, yielding low bulk densities that suggest the presence of large hydrogen-dominated atmospheres. © 2023, CC BY.

关键词： Planets

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Thermodynamic Formalism for Generalized Markov Shifts on Infinitely Many States

arXiv

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arXiv 2018年

作者： Bissacot, Rodrigo Exel, Ruy Frausino, Rodrigo Raszeja, Thiago University of São Paulo Brazil Faculty of Mathematics and Computer Science Nicolaus Copernicus University Poland Departamento de Matemática Universidade Federal de Santa Catarina SC Florianópolis Brazil School of Mathematics and Applied Statistics University of Wollongong Australia Faculty of Applied Mathematics AGH University of Science and Technology Poland

Given a 0-1 infinite matrix A and its countable Markov shift ΣA, one of the authors and M. Laca have introduced a kind of generalized countable Markov shift XA = ΣA ∪ YA, where YA is a special set of finite admissible words. For some of the most studied countable Markov shifts ΣA, XA is a compactification of ΣA, and always it is at least locally compact. We developed the thermodynamic formalism on the space XA, exploring the connections with standard results on ΣA. New phenomena appear, such as new conformal measures and a length-type phase transition: the eigenmeasure lives on ΣA at high temperature and lives on YAat low temperature. Using a pressure-point definition proposed by M. Denker and M. Yuri for iterated function systems, we proved that the Gurevich pressure is a natural definition for the pressure function in the generalized setting. For the gauge action, the Gurevich entropy is a critical temperature for the existence of new conformal measures (KMS states) living on YA. We exhibit examples with infinitely (even uncountable) many new extremal conformal measures, undetectable in the usual formalism. We prove that conformal measures always exist at low temperatures when the potential is coercive enough. We characterized a basis of the topology of XA to study the weak∗ convergence of measures on XA, and we show some cases where the conformal measure living on YAconverges to a conformal one living on ΣA. We prove the equivalence among several notions of conformality for locally compact Hausdorff second countable spaces, including quasi-invariant measures for generalized Renault-Deaconu groupoids. Copyright © 2018, The Authors. All rights reserved.

关键词： Temperature

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Fractional Differential Equation Solvers in Octave/Matlab

Fractional Differential Equation Solvers in Octave/Matlab

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International Conference on Methods and Models in Automation and Robotics

作者： Marcin Sowa Aleksandra Kawala-Janik Waldemar Bauer Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Kraków Poland

This paper concerns solvers for time fractional differential equations in Matlab and Octave. The main analysis revolves around a time step size adaptive solver basing on the numerical method called SubIval. The basis of SubIval is explained and formulae for the step size adaptivity are given. The solver is compared with others basing on: fractional linear multistep methods, product integration rules and the Grunwald-Letnikov approximation.

关键词： Fractional calculus Differential equations Electrical engineering Electronic mail Matlab Capacitors Coils

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Randomized benchmarking for qudit Clifford gates

arXiv

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arXiv 2019年

作者： Jafarzadeh, Mahnaz Wu, Ya-Dong Sanders, Yuval R. Sanders, Barry C. Physics Department Faculty of Sciences Urmia University Post Box 165 Urmia Iran QICI Quantum Information and Computation Initiative Department of Computer Science The University of Hong Kong Pok Fu Lam Road Hong Kong Institute for Quantum Science and Technology University of Calgary ABT2N 1N4 Canada Department of Physics and Astronomy Australian Research Council Centre of Excellence in Engineered Quantum Systems Macquarie University SydneyNSW2109 Australia Shanghai Branch National Laboratory for Physical Sciences at Microscale University of Science and Technology of China Shanghai201315 China

We introduce unitary-gate randomized benchmarking (URB) for qudit gates by extending single- and multi-qubit URB to single- and multi-qudit gates. Specifically, we develop a qudit URB procedure that exploits unitary 2-designs. Furthermore, we show that our URB procedure is not simply extracted from the multi-qubit case by equating qudit URB to URB of the symmetric multi-qubit subspace. Our qudit URB is elucidated by using pseudocode, which facilitates incorporating into benchmarking applications. Copyright © 2019, The Authors. All rights reserved.

关键词： Benchmarking

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Erratum to: Study of ϒ production in pPb collisions at = 8.16 TeV

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Journal of High Energy physics 2020年第2期2020卷 1-8页

作者： Aaij, R. Abellán Beteta, C. Adeva, B. Adinolfi, M. Aidala, C. A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Alkhazov, G. Alvarez Cartelle, P. Alves, A. A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J. E. Appleby, R. B. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Back, J. J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R. J. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battig, A. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L. J. Belin, S. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M. O. van Beuzekom, M. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M. P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T. J. V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D. H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M. G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Clarke, P. E. L. Clemencic, M. Cliff, H. V. Closier, J. Coco, V. Coelho, J. A. B. Cogan, J. Cogneras, E. Cojocariu, L. Collins, P. Colombo, T. Comerma-Montells, A. Co Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Physik-Institut Universität Zürich Zürich Switzerland Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom University of Michigan Ann Arbor United States Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France University of Cincinnati Cincinnati United States INFN Laboratori Nazionali di Frascati Frascati Italy Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Petersburg Nuclear Physics Institute (PNPI) Gatchina Russia Imperial College London London United Kingdom Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil INFN Sezione di Padova Padova Italy LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Center for High Energy Physics Tsinghua University Beijing China INFN Sezione di Firenze Firenze Italy Institute of Physics Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland INFN Sezione di Ferrara Ferrara Italy University of Maryland College Park United States School of Physics and Astronomy University of Manchester Manchester United Kingdom Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Institute for High Energy Physics (IHEP) Protvino Russia Syracuse University Syracuse United States Yandex School of Data Analysis Moscow Russia INFN Sezione di Cagliari Monserrato Italy Department of Physics University of Warwick Coventry United Kingdom Laboratoire Leprince-Ringuet Palaiseau France INFN Sezione di Genova Genova Italy National University of Science and Techno

In figure 11 of the original paper.

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Design of memory subsystem for wide input data range in the SALT ASIC

Design of memory subsystem for wide input data range in the ...

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International Conference on Mixed Design of Integrated Circuits and Systems (MIXDES)

作者： Krzysztof Świentek Magdalena Banachowicz Faculty of Physics and Applied Computer Science AGH University of Science and Technology Krakow Poland

The paper presents the design and optimisation of memory buffer in the SALT (Silicon ASIC for LHCb Tracking) ASIC. The SALT is a new 128-channel readout ASIC for silicon strip detectors in the Large Hadron Collider beauty (LHCb) experiment at the Large Hadron Collider (LHC) in CERN. The stochastic nature of phenomena detected by the ASIC results in a very different amount of data after each collision of particles. The SALT generates a data packet which size may vary between one and 100 bytes in each clock cycle and which should be stored in a memory buffer regardless of its size. The memory buffer is based on a number of macro blocks. The input size of the macro block is a free parameter of the design so the optimization was performed taking into account occupied area and consumed power. A full 128-channel version, designed in CMOS 130 nm technology, together with implemented memory buffer, was submitted, produced and is being tested. The tests show full functionality of the ASIC and memory buffer.

关键词： Clocks Large Hadron Collider Detectors Digital signal processing Silicon Buffer storage Synchronization

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Selecting the Superpositioning of Models for Railway Freight Forecasting

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Moscow university Computational Mathematics and Cybernetics 2018年第4期42卷 186-193页

作者： N. D. Uvarov M. P. Kuznetsov A. S. Malkova K. V. Rudakov V. V. Strijov Faculty of Applied Mathematics and Control Moscow Institute of Physics and Technology Moscow Russia Yahoo! Research New York United States of America Department of Computer Science Moscow State University Moscow Russia Federal Research Center “Computer Science and Control ” Russian Academy of Sciences Moscow Russia

The problem of selecting the optimum system of models for forecasting short-term railway traffic volumes is considered. The historical data is the daily volume of railway traffic between pairs of stations for different types of cargo. The given time series are highly volatile, noisy, and nonstationary. A system is proposed that selects the optimum superpositioning of forecasting models with respect to features of the historical data. A model of sliding averages, exponential and kernel-smoothing models, the ARIMA model, Croston’s method, and LSTM neural networks are considered as candidates for inclusion in superpositioning.

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Helicity of magnetic vortices and skyrmions in soft ferromagnetic nanodots and films biased by stray radial fields

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Physical Review B 2020年第6期101卷 064429-064429页

作者： R. V. Verba D. Navas S. A. Bunyaev A. Hierro-Rodriguez K. Y. Guslienko B. A. Ivanov G. N. Kakazei Institute of Physics for Advanced Materials Nanotechnology and Photonics Departamento de Fisica e Astronomia Universidade do Porto 4169-007 Porto Portugal Institute of Magnetism Kyiv 03142 Ukraine Instituto de Ciencia de Materiales de Madrid CSIC 28049 Madrid Spain Departamento de Física Universidad de Oviedo 33007 Oviedo Spain Centro de Investigación en Nanomateriales y Nanotecnología CINN (CSIC - Universidad de Oviedo) 33940 El Entrego Spain Departamento Física de Materiales Universidad del País Vasco EHU 20018 San Sebastián Spain IKERBASQUE The Basque Foundation for Science 48013 Bilbao Spain Faculty of Radiophysics Electronics and Computer Systems Taras Shevchenko National University of Kyiv Kyiv 01601 Ukraine National University of Science and Technology “MISiS ” Moscow 119049 Russian Federation

Static magnetization configurations of thin soft ferromagnetic films and nanodots, coupled to a hard antidot matrix with out-of-plane magnetization, are studied by micromagnetic simulations and analytical calculations. When the antidot matrix produces sufficient stray fields, having radial symmetry, these nanostructures support the formation of topologically nontrivial magnetic configurations—vortices and skyrmions in nanodots and films, respectively. It is demonstrated that the studied nanostructure reveals an additional degree of freedom—the helicity of the vortex or skyrmion—which can be tuned on demand by a variation of the material parameters and geometry. The variation of helicity γ is not abrupt. In addition to Neel-like (radial) vortices and skyrmions (γ=0,π), it is possible to achieve unconventional configurations with an intermediate helicity γ≠0,±π/2,π, which transform to common Bloch-like configurations (γ=±π/2) in the limit of negligible stray fields from the matrix. We present an analytical model, which allows us to calculate the stability region of pure Neel-like states, outside which unconventional magnetization states with intermediate helicity are realized.

关键词： Magnetic texture Magnetic vortices Skyrmions Nanostructures Micromagnetic modeling

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Effect of melt pouring temperature and composition of primary coating of shell mould on tensile deformation behavior of IN713C superalloy

Effect of melt pouring temperature and composition of primar...

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73rd World Foundry Congress: Creative Foundry, WFC 2018

作者： Rakoczy, Lukasz Grudzień, Malgorzata Cygan, Rafal AGH University of Science and Technology Faculty of Metals Engineering and Industrial Computer Science av. Mickiewicza 30 Krakow30-059 Poland Foundry Research Institute ul. Zakopianska 73 Krakow30-418 Poland Consolidated Precision Products ul. Hetmanska 120 Rzeszow35-078 Poland

ISBN: (纸本)9788390430638

In the present study investment casting of IN713C Ni-based superalloy poured in different temperature into two types of shell mould was carried out. The investigation concerned mainly on the change of grain size depending on the selected pouring variant, strength at ambient temperature and also effect of deformation on the morphology of microstructural constituents. As a result of grain refinement through surface modification using cobalt aluminate pronounced increasing of yield strength was observed. The main aim of this investigation was to find the best combination of melt pouring temperature and composition of shell mould in order to obtain high strength and relatively fine grain structure desired in the intermediate temperature range service. © 73rd World Foundry Congress "Creative Foundry", WFC 2018 - *** Rights Reserved.

关键词： Grain boundaries

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Application of pattern spectra and convolutional neural networks to the analysis of simulated Cherenkov Telescope Array data 37

Application of pattern spectra and convolutional neural netw...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Aschersleben, J. Peletier, R.F. Vecchi, M. Wilkinson, M.H.F. Abdalla, H. Abe, H. Abe, S. Abusleme, A. Acero, F. Acharyya, A. Acín Portella, V. Ackley, K. Adam, R. Adams, C. Adhikari, S.S. Aguado-Ruesga, I. Agudo, I. Aguilera, R. Aguirre-Santaella, A. Aharonian, F. Alberdi, A. Alfaro, R. Alfaro, J. Alispach, C. Aloisio, R. Alves Batista, R. Amans, J.-P. Amati, L. Amato, E. Ambrogi, L. Ambrosi, G. Ambrosio, M. Ammendola, R. Anderson, J. Anduze, M. Angüner, E.O. Antonelli, L.A. Antonuccio, V. Antoranz, P. Anutarawiramkul, R. Aragunde Gutierrez, J. Aramo, C. Araudo, A. Araya, M. Arbet-Engels, A. Arcaro, C. Arendt, V. Armand, C. Armstrong, T. Arqueros, F. Arrabito, L. Arsioli, B. Artero, M. Asano, K. Ascasíbar, Y. Ashley, M. Attinà, P. Aubert, P. Singh, C.B. Baack, D. Babic, A. Backes, M. Baena, V. Bajtlik, S. Baktash, A. Balazs, C. Balbo, M. Ballester, O. Ballet, J. Balmaverde, B. Bamba, A. Bandiera, R. Baquero Larriva, A. Barai, P. Barbier, C. Barbosa Martins, V. Barcelo, M. Barkov, M. Barnard, M. Baroncelli, L. Barres de Almeida, U. Barrio, J.A. Bastieri, D. Batista, P.I. Batkovic, I. Bauer, C. Bautista-González, R. Baxter, J. Becciani, U. Becerra González, J. Becherini, Y. Beck, G. Becker Tjus, J. Bednarek, W. Belfiore, A. Bellizzi, L. Belmont, R. Benbow, W. Berge, D. Bernardini, E. Bernardos, M.I. Bernlöhr, K. Berti, A. Berton, M. Bertucci, B. Beshley, V. Bhatt, N. Bhattacharyya, S. Bhattacharyya, W. Bhattacharyya, S. Bi, B. Bicknell, G. Biederbeck, N. Bigongiari, C. Biland, A. Bird, R. Bissaldi, E. Biteau, J. Bitossi, M. Blanch, O. Blank, M. Blazek, J. Bobin, J. Boccato, C. Bocchino, F. Boehm, C. Bohacova, M. Boisson, C. Boix, J. Bolle, J.-P. Bolmont, J. Bonanno, G. Bonavolontà, C. Bonneau Arbeletche, L. Bonnoli, G. Bordas, P. Borkowski, J. Bórquez, S. Bose, R. Bose, D. Bosnjak, Z. Bottacini, E. Böttcher, M. Botticella, M.T. Boutonnet, C. Bouyjou, F. Bozhilov, V. Bozzo, E. Brahimi, L. Braiding, C. Brau-Nogué, S. Kapteyn Astronomical Institute University of Groningen PO Box 800 Groningen9700 AV Netherlands Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen PO Box 407 GroningenNL-9700 AK Netherlands Centre for Space Research North-West University Potchefstroom2520 South Africa Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-ha Chiba Kashiwa277-8582 Japan Pontificia Universidad Católica de Chile Av. Libertador Bernardo O'Higgins 340 Santiago Chile AIM CEA CNRS Université Paris-Saclay Université Paris Diderot Sorbonne Paris Cité CEA Paris-Saclay IRFU DAp Bat 709 Orme des Merisiers Gif-sur-Yvette91191 France Centre for Advanced Instrumentation Dept. of Physics Durham University South Road DurhamDH1 3LE United Kingdom Port d'Informació Científica Edifici D Carrer de l'Albareda Bellaterrra Cerdanyola del Vallès08193 Spain School of Physics and Astronomy Monash University MelbourneVIC3800 Australia Laboratoire Leprince-Ringuet École Polytechnique UMR 7638 CNRS/IN2P3 Institut Polytechnique de Paris Palaiseau91128 France Department of Physics Columbia University 538 West 120th Street New YorkNY10027 United States University of Oslo Department of Physics Sem Saelandsvei 24 - PO Box 1048 Blindern OsloN-0316 Norway EMFTEL Department IPARCOS Universidad Complutense de Madrid Madrid28040 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain Campus UAB Carrer de Can Magrans s/n Cerdanyola del Vallés08193 Spain Instituto de Física Teórica UAM/CSIC Departamento de Física Teórica Universidad Autónoma de Madrid c/Nicolás Cabrera 13-15 Campus de Cantoblanco UAM Madrid28049 Spain Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Universidad Nacional Autónoma de México Delegación Coyoacán Ciudad de México04510 Mexico University of Geneva Département de Physique Nucléaire et Corpusculaire 24 rue d

The Cherenkov Telescope Array (CTA) will be the next generation gamma-ray observatory and will be the major global instrument for very-high-energy astronomy over the next decade, offering 5 − 10 × better flux sensitivity than current generation gamma-ray telescopes. Each telescope will provide a snapshot of gamma-ray induced particle showers by capturing the induced Cherenkov emission at ground level. The simulation of such events provides images that can be used as training data for convolutional neural networks (CNNs) to determine the energy of the initial gamma rays. Compared to other state-of-the-art algorithms, analyses based on CNNs promise to further enhance the performance to be achieved by CTA. Pattern spectra are commonly used tools for image classification and provide the distributions of the shapes and sizes of various objects comprising an image. The use of relatively shallow CNNs on pattern spectra would automatically select relevant combinations of features within an image, taking advantage of the 2D nature of pattern spectra. In this work, we generate pattern spectra from simulated gamma-ray events instead of using the raw images themselves in order to train our CNN for energy reconstruction. This is different from other relevant learning and feature selection methods that have been tried in the past. Thereby, we aim to obtain a significantly faster and less computationally intensive algorithm, with minimal loss of performance. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Gamma rays

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