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The data mining of strong earthquakes' occurring time based on the traditional Chinese calendar 2019

The data mining of strong earthquakes' occurring time based ...

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

作者： Huang, Jipan Wang, Xin'an Yong, Shanshan Earthquake Monitoring and Prediction Technology Research Center Peking University Shenzhen Graduate School Shenzhen China School of Electronics Engineering and Computer Science Peking University Beijing China

ISBN: (纸本)9781450362580

This paper did the systemic data mining of the earthquakes' occurring time information under the traditional Chinese calendar for the first time. The China seismic catalogues (M5-M7) of 1965- 2016 and the Northern Hemisphere seismic catalogues (M6-M8) of 1973-2016 under the Gregorian calendar were converted to the ones under the traditional Chinese calendar. The statistics result shows that the seismic frequency in spring is clearly higher than that in summer and the seismic frequency in autumn is higher than that in winter in China and the Northern Hemisphere. At the same time, the seismic frequency near the time of spring-neap tide (the new moon, the first quarter moon, the full moon and the last quarter moon) is clearly about 30% or more higher than that in other days. The 2004 Indonesian tsunami, the 2008 Wenchuan earthquake, the 2011 Tokyo earthquake et al. followed the above rules. These rules can guide people's production and life. © 2019 Association for computing Machinery.

关键词： Earthquakes

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Studies of the mass composition of cosmic rays and proton-proton interaction cross-sections at ultra-high energies with the Pierre Auger Observatory 38

Studies of the mass composition of cosmic rays and proton-pr...

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38th international Cosmic Ray conference, ICRC 2023

作者： Tkachenko, Olena 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. Karlsruhe Institute of Technology Kaiserstraße 12 Karlsruhe76131 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 Instituto de Astronomía y Física del Espacio [IAFE CONICET-UBA Buenos Aires Argentina CONICET U.N.R. and Facultad de Ciencias Bioquímicas y Farmacéuticas U.N.R. Rosario Argentina 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 Volta Re

In this work, we present an estimate of the cosmic-ray mass composition from the distributions of the depth of the shower maximum (Xmax) measured by the fluorescence detector of the Pierre Auger Observatory. We discuss the sensitivity of the mass composition measurements to the uncertainties in the properties of the hadronic interactions, particularly in the predictions of the particle interaction cross-sections. For this purpose, we adjust the fractions of cosmic-ray mass groups to fit the data with Xmax distributions from air shower simulations. We modify the proton-proton cross-sections at ultra-high energies, and the corresponding air shower simulations with rescaled nucleus-air cross-sections are obtained via Glauber theory. We compare the energy-dependent composition of ultra-high-energy cosmic rays obtained for the different extrapolations of the proton-proton cross-sections from low-energy accelerator data. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Measurement of the mass composition of ultra-high-energy cosmic rays at the Pierre Auger Observatory 38

Measurement of the mass composition of ultra-high-energy cos...

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38th international Cosmic Ray conference, ICRC 2023

作者： Mayotte, Eric 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. Department of Physics Colorado School of Mines 1523 Illinois St. CO Golden United States 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 Unive

After nearly 20 years of data-taking, the measurements made with the Pierre Auger Observatory represent the largest collection of ultra-high-energy cosmic ray (UHECR) data so far assembled from a single instrument. Exploring this data set led to a deeper understanding of the UHECR flux and many surprises. In particular, studies aiming to investigate and leverage the mass composition of UHECRs have played an important role in empowering discovery. This contribution will present an overview of the analyses of primary mass composition carried out during the first phase of the Observatory. The overview includes analyses derived from measurements made by the surface, fluorescence, and radio detectors covering energies ranging from 0.1 EeV up to 100 EeV. Special attention will be given to recent advances and results to provide a complete picture of UHECR mass composition at the Observatory as it moves to its next phase, AugerPrime. Additionally, specific updates will be given to studies focusing on mass trends from surface detector rise-times, Xmax dependent anisotropies, and UHECR beam characterization using the correlation between Xmax and signal amplitudes at the ground. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmic rays

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Constraints on upward-going air showers using the Pierre Auger Observatory data 38

Constraints on upward-going air showers using the Pierre Aug...

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38th international Cosmic Ray conference, ICRC 2023

作者： De Vito, Emanuele Prechelt, Remy Romero-Wolf, Andrés Wissel, Stephanie Zeolla, Andrew 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, J.C. 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. Università del Salento Dipartimento di Matematica e Fisica "E. De Giorgi" Lecce Italy INFN Sezione di Lecce Lecce Italy Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina University of Hawaii HI United States Caltech Jet Propulsion Laboratory PasadenaCA United States California Polytechnic State University San Luis ObispoCA United States 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 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 Valo

The fluorescence detector (FD) of the Pierre Auger Observatory is sensitive to upward-going air showers with energies above 1017 eV. Given its operation time and wide field of view, the FD has the potential to support or constrain the "anomalous" observations by the ANITA detector, interpreted as upward-going air showers that would be indicative of Beyond Standard Model (BSM) physics. To this end, a search for upward-going air showers with the FD has been performed applying selection criteria that were optimized using 10% of FD data. Dedicated background simulations (downward-going events) have been performed to estimate our capability to distinguish candidates from false positives. Also dedicated signal simulations (upward-going events) have been used to estimate our sensitivity to such showers with a focus on the energy region close to the ANITA observations. Improved and updated results of the Pierre Auger Observatory exposure to upward-going showers will be presented after the unblinding of 14 years of FD data. Extensive simulations allow the FD exposure to be obtained at lower energies which are particularly relevant for the comparison with the ANITA results. A refinement of the method for signal discrimination and background rejection has also been applied. The implications are discussed under the assumption that the ANITA events were due to upward-going events. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Photons

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The Time Evolution of the Surface Detector of the Pierre Auger Observatory 38

The Time Evolution of the Surface Detector of the Pierre Aug...

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38th international Cosmic Ray conference, ICRC 2023

作者： Zapparrata, Orazio 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. Université Libre de Bruxelles IIHE Brussels Belgium 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 Av. San Martín Norte 304 Malargüe5613 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 Mathematics and

The surface detector array of the Pierre Auger Observatory, consisting of 1660 water Cherenkov tanks, has been in operation for nearly 20 years. During this long period of data acquisition, ageing effects in the detector response have been observed. The temporal evolution of the signals recorded by the surface detector is mostly compensated by continuous calibration with atmospheric muons;however, effects persist in the signal rise time and in high-level data analysis using neural networks. We have implemented a detailed description of the time evolution of the detector response and of the uptimes of individual stations in GEANT4-based detector simulations. These new simulations reproduce the observed time dependencies in the data. Using air-shower simulations that take into account the evolution of individual stations, we show that the reconstructed energy is stable at the sub-percent level, and its resolution is affected by less than 5% in 15 years. For a few specific stations, the collected light produced by muons has decreased to the point where it is difficult to distinguish it from the electromagnetic background in the calibration histograms. The upgrade of the Observatory with scintillator detectors mitigates this problem: by requiring a coincidence between the water-Cherenkov and scintillator detectors, we can enhance the muon relative contribution to the calibration histogram. We present the impact and performance of this coincidence calibration method. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Scintillation counters

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Investigations of a Novel Energy Estimator Using Deep Learning for the Surface Detector of the Pierre Auger Observatory 38

Investigations of a Novel Energy Estimator Using Deep Learni...

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38th international Cosmic Ray conference, ICRC 2023

作者： Ellwanger, Fiona 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. Karlsruhe Institute of Technology Institute for Astroparticle Physics Karlsruhe Germany 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 Av. San Martín Norte 304 Malargüe5613 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 Un

Exploring physics at energies beyond the reach of human-built accelerators by studying cosmic rays requires an accurate reconstruction of their energy. At the highest energies, cosmic rays are indirectly measured by observing a shower of secondary particles produced by their interaction in the atmosphere. At the Pierre Auger Observatory, the energy of the primary particle is either reconstructed from measurements of the emitted fluorescence light, produced when secondary particles travel through the atmosphere, or shower particles detected with the surface detector at the ground. The surface detector comprises a triangular grid of water-Cherenkov detectors that measure the shower footprint at the ground level. With deep learning, large simulation data sets can be used to train neural networks for reconstruction purposes. In this work, we present an application of a neural network to estimate the energy of the primary particle from the surface detector data by exploiting the time structure of the particle footprint. When evaluating the precision of the method on air shower simulations, we find the potential to significantly reduce the composition bias compared to methods based on fitting the lateral signal distribution. Furthermore, we investigate possible biases arising from systematic differences between simulations and data. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Construction of driving conditions based on multisegment clustering algorithm 7

Construction of driving conditions based on multisegment clu...

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7th international conference on Information Technology: IoT and Smart City, ICIT 2019

作者： Sun, Yanxiong Li, Yeli Zeng, Qingtao Bian, Yuning Sun, Xinyu Yu, Linxuan 1st Daxing District Beijing China

ISBN: (纸本)9781450376631

In this paper, a new method of building k-means and DBSCAN multi-segment clustering algorithm slots on the driving conditions of driverless cars. First, data such as GPS speed obtained by driverless vehicles is used to pre-process the data using ff vehicle data pre-processing models. Then, the model is extracted using Kin-se kin-se kine kinesiology fragments and all kinematic fragments are extracted. Finally, using the Driv-D-means clustering model, the kinematics fragments are used to construct a driving curve for cars that can reflect the data collected by driverless cars. The experimental results show that the algorithm can more effectively express the characteristics contained in the original data than the k-means algorithm. © 2019 Association for computing Machinery.

关键词： data mining

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ElaX: Provisioning resource elastically for containerized online cloud services 21

ElaX: Provisioning resource elastically for containerized on...

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21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Yang, Yanan Zhao, Laiping Li, Zhigang Nie, Lihai Chen, Peiqi Li, Keqiu Tianjin Key Laboratory of Advanced Networking College of Intelligence and Computing Tianjin University China

ISBN: (纸本)9781728120584

To reduce the cost of online cloud services, service providers often employ the elastic approach that allows tenants to 'scale out' or 'scale up' their applications at runtime. However, the traditional virtual machine-based approach cannot meet the fine-grained fluctuating demand due to its slow startup time and high reconfiguration cost. To address this challenge, we present ElaX, an online service manager that minimizes the resource provisioning cost for containerized online services while guaranteeing their tail latency requirement. ElaX designs a workload-aware resource allocation mechanism for containerized online services through the collaboration of three key components: First, Workload predictor is able to precisely predict the workload in periodic scenario, through a LSTM (Long Short-Term Memory) network;Second, Resource reservation allocates the just-right amount of resource supporting the predicted workload, using the combination of both scale-up and scale-out operations;Third, Online controller guarantees the tail latency requirement during prediction failures through a feedback-based control method, and further reduces the provision cost through resource reclamation. Our experiments on the two production workloads demonstrate that ElaX can reduce the average resource over-provisioning cost by more than 32.6% while guaranteeing the tail latency requirement. © 2019 IEEE.

关键词： Containers

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Investigating the UHECR characteristics from cosmogenic neutrino limits with the measurements of the Pierre Auger Observatory 38

Investigating the UHECR characteristics from cosmogenic neut...

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38th international Cosmic Ray conference, ICRC 2023

作者： Petrucci, Camilla 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. Bohácová, 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. Filipcic, 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. University of L’Aquila INFN Laboratori Nazionali del Gran Sasso L’Aquila Italy Observatorio Pierre Auger Av. San Martín Norte 304 Malargüe5613 Argentina Centro Atómico Bariloche Instituto Balseiro CNEA UNCuyo CONICET San Carlos de Bariloche Argentina Departamento de Física Departamento de Ciencias de la Atmósfera y los Océanos FCEyN Universidad de Buenos Aires CONICET Buenos Aires Argentina IFLP Universidad Nacional de La Plata CONICET La Plata Argentina CONICET UBA Buenos Aires Argentina CONICET/U.N.R. and 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 CONICET Campus Miguelete – San Martín Buenos Aires Argentina Laboratorio Atmósfera Departamento de Investigaciones en Láseres y sus Aplicaciones UNIDEF CITEDEFCONICET 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

Cosmogenic neutrinos are expected to originate in the extragalactic propagation of ultra-high-energy cosmic rays (UHECRs), as a result of their interactions with background photons. Due to these reactions, the visible Universe in UHECRs is more limited than in neutrinos, which instead could reach us without interacting after traveling cosmological distances. In this contribution, we exploit a multimessenger approach by computing the expected energy spectrum and mass composition of UHECRs at Earth corresponding to combinations of spectral parameters and mass composition at their sources, as well as parameters related to the UHECR source distribution, and by determining, at the same time, the associated cosmogenic neutrino fluxes. By comparing the expected UHECR observables to the energy spectrum and mass composition measured at the Pierre Auger Observatory above 1017.8 eV and the expected neutrino fluxes to the most updated neutrino limits, we show the dependence of the neutrino fluxes on the characteristics of the the properties of the potential sources of UHECRs, such as their cosmological evolution and maximum redshift. In addition, the fraction of protons compatible with the data is also investigated in terms of expected neutrino fluxes. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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A privacy protection method for learning artificial neural network on vertically distributed data

A privacy protection method for learning artificial neural n...

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international conference on Mechatronics and Intelligent Robotics, ICMIR 2018

作者： Li, Guang Su, Xiaohong Wang, Yadong School of Electronic and Control Engineering Chang’an University Xi’an710064 China School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9783030002138

For mining privacy data that can not be seen directly, the privacy preserving data mining (PPDM) is needed. As far as we know, for neural network learning on vertically distributed databases, there is no good enough PPDM method. For solving it, a privacy preserving method for learning neural networks on vertically distributed data is proposed by this paper. This method designs protocols to exchange essential information for learning neural networks without opening private data. The learning results with this proposed method are the same as the results with the original BP algorithm without considering privacy preservation. And, in the learning process, every node cannot get the details of other nodes’ data. © Springer Nature Switzerland AG 2019.

关键词： Neural networks

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