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Performance of the Cherenkov Telescope Array in the presence of clouds 37

Performance of the Cherenkov Telescope Array in the presence...

引用

37th international Cosmic Ray conference, ICRC 2021

作者： Pecimotika, Mario Adamczyk, Katarzyna Prester, Dijana Dominis Gueta, Orel Hrupec, Dario Maier, Gernot Mićanović, Saša Pavletić, Lovro Sitarek, Julian Sobczyńska, Dorota Szanecki, Michal 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. Aschersleben, J. 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. Department of Physics University of Rijeka Radmile Matejčić 2 Rijeka Croatia Virovitica University of Applied Sciences Matije Gupca 78 Virovitica Croatia Department of Astrophysics University of Lódź Pomorska 149 Lódź Poland Platanenallee 6 Zeuthen Germany Department of Physics J. J. Strossmayer University of Osijek Trg Ljudevita Gaja 6 Osijek Croatia Department of Informatics University of Lódź Pomorska 149 Lódź Poland 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 Cerdanyola del Vallès Bellaterrra08193 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 Campus de Cantoblanco UAM c/Nicolás Cabrera 13-15 Madrid28049 Spain Dublin Institute for Advanced Studies 31 Fitzwilliam Place

The Cherenkov Telescope Array (CTA) is the future ground-based observatory for gamma-ray astronomy at very high energies. The atmosphere is an integral part of every Cherenkov telescope. Different atmospheric conditions, such as clouds, can reduce the fraction of Cherenkov photons produced in air showers that reach ground-based telescopes, which may affect the performance. Decreased sensitivity of the telescopes may lead to misconstructed energies and spectra. This study presents the impact of various atmospheric conditions on CTA performance. The atmospheric transmission in a cloudy atmosphere in the wavelength range from 203 nm to 1000 nm was simulated for different cloud bases and different optical depths using the MODerate resolution atmospheric TRANsmission (MODTRAN) code. MODTRAN output files were used as inputs for generic Monte Carlo simulations. The analysis was performed using the MAGIC Analysis and Reconstruction Software (MARS) adapted for CTA. As expected, the effects of clouds are most evident at low energies, near the energy threshold. Even in the presence of dense clouds, high-energy gamma rays may still trigger the telescopes if the first interaction occurs lower in the atmosphere, below the cloud base. A method to analyze very high-energy data obtained in the presence of clouds is presented. The systematic uncertainties of the method are evaluated. These studies help to gain more precise knowledge about the CTA response to cloudy conditions and give insights on how to proceed with data obtained in such conditions. This may prove crucial for alert-based observations and time-critical studies of transient phenomena. © 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： Monte Carlo methods

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A Study of Fandom Crowdsourcing Method Using Big data 6th

A Study of Fandom Crowdsourcing Method Using Big Data

引用

6th international conference on Frontier computing, FC 2018

作者： Oh, Se Jong Park, Mee Hwa Uijeoung, Jeong Doo, Ill Chul Spigen’s Marketing Team Seoul Korea Republic of Dongguk University 30 Pildong-ro 1-gil Jung-gu Seoul Korea Republic of

ISBN: (纸本)9789811336478

The fourth industrial revolution is the Hyper-Connected and Now era. K-pop’s music video, which communicates in real time through social media, serves as a medium to communicate both auditory and visual. This study analyzes the current status of K-Pop idols in social media and studies models that show Fandom’s favorite products. In this study, we analyzed the buzz data of Bangtan Boys (BTS) of K-Pop group with many fans and influences on social networks using text mining and Opinion mining technology. Analysis of Google Shopping keywords from 2013 to 2017 showed that many keywords such as BTS shirts, BTS phone cases, and BTS sweat-shirts were searched, which means that there are plenty of fandoms to buy BTS products with albums. The commercialization strategy of BTS is mainly to produce products focusing on sweater, hood and phone cases with album release, and to dissolve the produced products naturally in the music video of BTS like PPL and to expose their own social media channels (Twitter, Face North, and V apps). © 2019, Springer Nature Singapore Pte Ltd.

关键词： Sentiment analysis

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Securing Sensitive data Information Through Multiplicative Perturbation Approach Based on UML Modeling

Securing Sensitive Data Information Through Multiplicative P...

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international conference on advanced computing and Intelligent Engineering (ICACIE)

作者： Anurag Arora, Deepak Kumar, Upendra Amity Univ Amity Inst Informat Technol Lucknow Campus Lucknow Uttar Pradesh India Amity Univ Dept Comp Sci & Engn Lucknow Campus Lucknow Uttar Pradesh India Birla Inst Technol Dept Comp Sci & Engn Patna Campus Patna Bihar India

ISBN: (纸本)9789811068720;9789811068713

mining mainly aims toward extracting hidden useful patterns from the large amount of data which is exploited by various organizations for their business planning. The organizations generally used to store sensitive data, during their mining processes, which they do not want to disclose either due to legal constraints or competition among themselves. Privacy preserving data mining is focused on hiding this sensitive information while still getting accurate mining results. This paper deals with UML modeling of multiplicative perturbation-based approach applied in privacy preserving data mining system. Multiplicative perturbation is the most popular technique nowadays, which mainly aimed to preserve multidimensional information while performing different mining operations. Authors have modeled the entire approach by using IBM Rational Software Architect tool. This standard model will facilitate researchers and organizations to design more specific and aligned business solutions in order to secure sensitive data by proposed UML models based on multiplicative perturbation approaches.

关键词： Multiplicative perturbation Privacy preserving data mining UML modeling Object-oriented modeling Distribution reconstruction algorithm

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Pulmonary nodule detection based on multi-branch 3D squeeze-and-excitation network 17

Pulmonary nodule detection based on multi-branch 3D squeeze-...

引用

17th IEEE international conference on Dependable, Autonomic and Secure computing, IEEE 17th international conference on Pervasive Intelligence and computing, IEEE 5th international conference on Cloud and Big data computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019

作者： Zhang, Yuechao Zhang, Jianxin Che, Chao Lin, Kai Zhou, Dongsheng Zhang, Qiang Wei, Xiaopeng Key Lab of Advanced Design and Intelligent Computing (Ministry of Education) Dalian University Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China

ISBN: (纸本)9781728130255;9781728130248

Convolutional neural networks based regional proposal networks (RPN) have recently achieved breakthrough results in a variety of medical image detection tasks. Among them, 3D RPN network in conjunction with advanced ResNet gains the state-of-the-art performance. However, current 3D RPN network cannot fully consider different hierarchically spatial information and relationship between channels contained in networks themselves. To overcome this problem, this work proposes a novel multi-branch 3D Squeeze-and-Excitation (SE) network, i.e., Mb3DSENet, which embeds SE-Inception and SE-Residual-Inception blocks into existing 3D RPN network by appropriately assembling SE unit, Inception module and residual connection. Mb3DSENet not only inherits the merits of the basic 3D RPN network, but also enhances its spatial representation power and selectively highlights channel-wise feature responses. Experiment results on the public LUNA16 dataset demonstrate the effectiveness of the proposed network. © 2019 IEEE.

关键词： 3D RPN network Pulmonary nodule detection SE-inception block SE-residual-inception block

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Neural networks for PAPR reduction in optical OFDM signal transmission 21

Neural networks for PAPR reduction in optical OFDM signal tr...

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21st international conference on Transparent Optical Networks, ICTON 2019

作者： Zhang, Wenlong Hajomer, Adnan Yang, Xuelin Hu, Weisheng Shanghai Institute for Advanced Communication and Data Science Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9781728127798

In recent years, with the improvement of computing performance, the application of neural networks in communication field has been widely studied. In this paper, we propose and apply neural networks (NNs) to improve the transmission performance of optical orthogonal frequency division multiplexed (O-OFDM) signals. A pair of NNs is added in transmitter and receiver respectively, to modify and restore the QAM constellation. The main target for NNs is to reduce the peak to average power ratio (PAPR) of the O-OFDM signals and the bit error rate (BER) of the received signals. The proposed scheme is verified by the simulations. And a transmission of 18.8 Gb/s, 16-QAM optical OFDM signals is successfully demonstrated and analyzed for the cases with and without NNs. The experimental results show that, the PAPR and BER can be improved significantly (~4 dB for BER) after using NNs, since PAPR is reduced and more importantly the channel distortion and noises are effectively compensated by NNs via learning procedure. © 2019 IEEE.

关键词： Orthogonal frequency division multiplexing

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Network Information Security Model Based on Web data mining 3rd

Network Information Security Model Based on Web Data Mining

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3rd international conference on Intelligent computing and Applications (ICICA)

作者： Lingam, M. Shankar Kumar, A. Arun Sudhakara, A. M. Univ Mysore Mysore Karnataka India BITS Hyderabad Telangana India

ISBN: (纸本)9789811055201;9789811055195

Recent developments in network and information security have made researchers look into the possibility of developing techniques for network economy. One of the most common techniques that are used to enhance the performance of information security in networks is 'web data mining.' This technology is found to be effective in providing information security in a network. This paper presents a meta-analytic report on information security by using data mining techniques.

关键词： Information security data mining Internet

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Wind power generation prediction based on LSTM 2019

Wind power generation prediction based on LSTM

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4th international conference on Mathematics and Artificial Intelligence, ICMAI 2019

作者： Zhang, Jinxia Jiang, Xuru Chen, Xin Li, Xiaojing Guo, Dong Cui, Lixin Beijing Advanced Innovation Center for Future Network Technology Beijing University of Technology Beijing China State Power Investment China Electric Power Complete Equipment Co. Ltd. Beijing China State Grid Gansu Electric Power Company Gansu China Beijing Guotong Network Technology Co. Ltd. Beijing China

ISBN: (纸本)9781450362580

In recent years, with the increasing proportion of wind power generation, the impact of wind power generation on grid security is also growing. This makes the prediction accuracy of wind power generation higher and higher. This paper utilizes the LSTM model of the deep learning domain to predict wind power generation. Besides, Auto Encoder is employed to reduce the data dimension, improve the generalization ability of the model, and shorten the training time. Simulation experiments show that the LSTM model has better prediction accuracy than other machine learning model such as SVM. © 2019 Association for computing Machinery.

关键词： Long short-term memory

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A Novel Tool for the Absolute End-to-End Calibration of Fluorescence Telescopes – The XY-Scanner 38

A Novel Tool for the Absolute End-to-End Calibration of Fluo...

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Schäfer, Christoph M. Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Buenos Aires Argentina CONICET U.N.R Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Universidad Tecnológica Nacional Facultad Regional Mendoza CONICET CNEA Mendoza Argentina Instituto de Tecnologías en Detección y Astropartículas CNEA CONICET UNSAM Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM and CONICET Campus Miguelete – San Martín Buenos Aires Argentina Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de Física RJ Rio de Janeiro Brazil Observatório do Valongo RJ Rio de Janeiro Brazil Universidade Federal Fluminense EEIMVR RJ

The Pierre Auger Observatory uses 27 large-aperture wide-angle Schmidt telescopes to measure the longitudinal profile of air showers using the air-fluorescence technique. Up to the year 2013, the absolute calibration of the telescopes was performed by mounting a uniform large-diameter light source on each of the telescopes and illuminating the entire aperture with a known photon flux. Due to the high amount of work and person-power required, this procedure was only carried out roughly once every three years, and a relative calibration was performed every night to track short-term changes. Since 2013, only the relative calibration has been performed. In this paper, we present a novel tool for the absolute end-to-end calibration of the fluorescence detectors, the XY-Scanner. The XY-Scanner uses a portable integrating sphere as a light source, which has been absolutely calibrated. This light source is installed onto a motorized rail system and moved across the aperture of each telescope. We mimic the illumination of the entire aperture by flashing the light source at ∼1700 positions evenly distributed across the telescope aperture. For the absolute calibration of the light source, we built a dedicated setup that uses a NIST-calibrated photodiode to measure the average photon flux and a PMT to track the pulse-to-pulse stability. We present the laboratory setups used to study the characteristics of the employed light sources and discuss the inter-calibration between selected telescopes. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Fluorescence

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Investigating multiple ELVES and halos above strong lightning with the fluorescence detectors of the Pierre Auger Observatory 38

Investigating multiple ELVES and halos above strong lightnin...

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38th international Cosmic Ray conference, ICRC 2023

作者： Mussa, Roberto Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Gongora, J.P. Istituto Nazionale di Fisica Nucleare Sezione di Torino via Pietro Giuria 1 Torino10125 Italy San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Buenos Aires Argentina CONICET/U.N.R. and Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Mendoza Argentina Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM and CONICET Campus Miguelete – San Martín Buenos Aires Argentina Argentina Observatorio Pierre Auger Malargüe Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional – Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de Física RJ Rio de Janeiro Brazil Observatório do Valongo RJ Rio de Janeiro Brazil Universidade Federal Fluminense EEIMVR RJ Volta Redonda Brazil Universidad de Medellín Medellín Colombia Universidad Industrial de Santander Bucaramanga Colombia Charles University Faculty of Ma

ELVES are being studied since 2013 with the twenty-four FD Telescopes of the Pierre Auger Observatory, in the province of Mendoza (Argentina), the world’s largest facility for the study of ultra-high energy cosmic rays. This study exploits a dedicated trigger and extended readout. Since December 2020, this trigger has been extended to the three High Elevation Auger Telescopes (HEAT), which observe the night sky at elevation angles between 30 and 60 degrees, allowing a study of ELVES from closer lightning. The high time resolution of the Auger telescopes allows us to upgrade reconstruction algorithms and to do detailed studies on multiple ELVES. The origin of multiple elves can be studied by analyzing the time difference and the amplitude ratio between flashes and comparing them with the properties of radio signals detected by the ENTLN lightning network since 2018. A fraction of multi-ELVES can also be interpreted as halos following ELVES. Halos are disc-shaped light transients emitted at 70-80 km altitudes, appearing at the center of the ELVES rings, due to the rearrangement of electric charges at the base of the ionosphere after a strong lightning event. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Deep-Learning-Based Cosmic-Ray Mass Reconstruction Using the Water-Cherenkov and Scintillation Detectors of AugerPrime 38

Deep-Learning-Based Cosmic-Ray Mass Reconstruction Using the...

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38th international Cosmic Ray conference, ICRC 2023

作者： Langner, Niklas Abdul Halim, A. Abreu, P. Aglietta, M. Allekotte, I. Almeida Cheminant, K. Almela, A. Aloisio, R. Alvarez-Muñiz, J. Ammerman Yebra, J. Anastasi, G.A. Anchordoqui, L. Andrada, B. Andringa, S. Aramo, C. Araújo Ferreira, P.R. Arnone, E. Arteaga Velázquez, J.C. Asorey, H. Assis, P. Avila, G. Avocone, E. Badescu, A.M. Bakalova, A. Balaceanu, A. Barbato, F. Bartz Mocellin, A. Bellido, J.A. Berat, C. Bertaina, M.E. Bhatta, G. Bianciotto, M. Biermann, P.L. Binet, V. Bismark, K. Bister, T. Biteau, J. Blazek, J. Bleve, C. Blümer, J. Boháčová, M. Boncioli, D. Bonifazi, C. Bonneau Arbeletche, L. Borodai, N. Brack, J. Brichetto Orchera, P.G. Briechle, F.L. Bueno, A. Buitink, S. Buscemi, M. Büsken, M. Bwembya, A. Caballero-Mora, K.S. Cabana-Freire, S. Caccianiga, L. Caracas, I. Caruso, R. Castellina, A. Catalani, F. Cataldi, G. Cazon, L. Cerda, M. Cermenati, A. Chinellato, J.A. Chudoba, J. Chytka, L. Clay, R.W. Cobos Cerutti, A.C. Colalillo, R. Coleman, A. Coluccia, M.R. Conceição, R. Condorelli, A. Consolati, G. Conte, M. Convenga, F. Correia dos Santos, D. Costa, P.J. Covault, C.E. Cristinziani, M. Cruz Sanchez, C.S. Dasso, S. Daumiller, K. Dawson, B.R. de Almeida, R.M. de Jesús, J. de Jong, S.J. de Mello Neto, J.R.T. De Mitri, I. de Oliveira, J. de Oliveira Franco, D. de Palma, F. de Souza, V. De Vito, E. Del Popolo, A. Deligny, O. Denner, N. Deval, L. di Matteo, A. Dobre, M. Dobrigkeit, C. D’Olivo, J.C. Domingues Mendes, L.M. dos Anjos, R.C. Ebr, J. Ellwanger, F. Emam, M. Engel, R. Epicoco, I. Erdmann, M. Etchegoyen, A. Evoli, C. Falcke, H. Farmer, J. Farrar, G. Fauth, A.C. Fazzini, N. Feldbusch, F. Fenu, F. Fernandes, A. Fick, B. Figueira, J.M. Filipčič, A. Fitoussi, T. Flaggs, B. Fodran, T. Fujii, T. Fuster, A. Galea, C. Galelli, C. García, B. Gaudu, C. Gemmeke, H. Gesualdi, F. Gherghel-Lascu, A. Ghia, P.L. Giaccari, U. Giammarchi, M. Glombitza, J. Gobbi, F. Gollan, F. Golup, G. Gómez Berisso, M. Gómez Vitale, P.F. Gongora, J.P. RWTH Aachen University III. Physikalisches Institut A Aachen Germany Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires and CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata and CONICET La Plata Argentina Buenos Aires Argentina CONICET U.N.R. Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina Mendoza Argentina Buenos Aires Argentina International Center of Advanced Studies Instituto de Ciencias Físicas ECyT-UNSAM CONICET Campus Miguelete – San Martín Buenos Aires Argentina Argentina Observatorio Pierre Auger and Comisión Nacional de Energía Atómica Malargüe Argentina Universidad Tecnológica Nacional Facultad Regional Buenos Aires Buenos Aires Argentina University of Adelaide AdelaideSA Australia Brussels Belgium Vrije Universiteit Brussels Brussels Belgium Centro Federal de Educação Tecnológica Celso Suckow da Fonseca Petropolis Brazil Brazil Universidade de São Paulo Escola de Engenharia de Lorena SP Lorena Brazil Universidade de São Paulo Instituto de Física de São Carlos SP São Carlos Brazil Universidade de São Paulo Instituto de Física SP São Paulo Brazil Universidade Estadual de Campinas IFGW SP Campinas Brazil Universidade Estadual de Feira de Santana Feira de Santana Brazil Universidade Federal de Campina Grande Centro de Ciencias e Tecnologia Campina Grande Brazil Universidade Federal do ABC SP Santo André Brazil Universidade Federal do Paraná Setor Palotina Palotina Brazil Universidade Federal do Rio de Janeiro Instituto de Física RJ Rio de Janeiro Brazil Observatório do Valongo RJ Rio de Janeiro Brazil Universidade Federal Fluminense EEIMVR RJ Volta Redonda Brazil Universidad de Medellín Medellín Colombia Universidad Industrial de Santander Bucaramanga Colombia Charles University Faculty of Math

At the highest energies, cosmic rays can be detected only indirectly by the extensive air showers they create upon interaction with the Earth’s atmosphere. While high-statistics measurements of the energy and arrival directions of cosmic rays can be performed with large surface detector arrays like the Pierre Auger Observatory, the determination of the cosmic-ray mass on an event-by-event basis is challenging. Meaningful physical observables in this regard include the depth of maximum of air-shower profiles, which is related to the mean free path of the cosmic ray in the atmosphere and the shower development, as well as the number of muons that rises with the number of nucleons in a cosmic-ray particle. In this contribution, we present an approach to determine both of these observables from combined measurements of water-Cherenkov detectors and scintillation detectors, which are part of the AugerPrime upgrade of the Observatory. To characterize the time-dependent signals of the two detectors both separately as well as in correlation to each other, we apply deep learning techniques. Transformer networks employing the attention mechanism are especially well-suited for this task. We present the utilized network concepts and apply them to simulations to determine the precision of the event-by-event mass reconstruction that can be achieved by the combined measurements of the depth of shower maximum and the number of muons. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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