检索结果-内蒙古大学图书馆

38th International Cosmic Ray Conference, ICRC 2023

作者： Miyamoto, Hiroko Battisti, Matteo Barghini, Dario Belov, Alexander Bertaina, Mario Bianciotto, Marta Bisconti, Francesca Blaksley, Carl Blin, Sylvie Bolmgren, Karl Cambiè, Giorgio Capel, Francesca Casolino, Marco Churilo, Igor De La Taille, Christophe Ebisuzaki, Toshikazu Eser, Johannes Fenu, Francesco Filippatos, Geroge Franceschi, Massimo Alberto Fuglesang, Christer Golzio, Alessio Gorodetzky, Philippe Kajino, Fumioshi Kasuga, Hiroshi Klimov, Pavel Kungel, Viktoria Kuznetsov, Vladimir Manfrin, Massimiliano Marcelli, Laura Mascetti, Gabriele Marszal, Wlodzimierz Mignone, Marco Murashov, Alexey Napolitano, Tommaso Ohmori, Hitoshi Olinto, Angela Parizot, Etienne Picozza, Piergiorgio Piotrowski, Lech Wiktor Plebaniak, Zbigniew Prévôt, Guillaume Reali, Enzo Ricci, Marco Romoli, Giulia Sakaki, Naoto Sharakin, Sergei Shinozaki, Kenji Szabelski, Jacek Takizawa, Yoshiyuki Valentini, Giovanni Vrabel, Michal Wiencke, Lawrence Zotov, Mikhail Abe, S. Adams, J.H. Allard, D. Alldredge, P. Aloisio, R. Anchordoqui, L. Anzalone, A. Arnone, E. Bagheri, M. Baret, B. Barghini, D. Battisti, M. Bellotti, R. Belov, A.A. Bertaina, M. Bertone, P.F. Bianciotto, M. Bisconti, F. Blaksley, C. Blin-Bondil, S. Bolmgren, K. Briz, S. Burton, J. Cafagna, F. Cambié, G. Campana, D. Capel, F. Caruso, R. Casolino, M. Cassardo, C. Castellina, A. Černý, K. Christl, M.J. Colalillo, R. Conti, L. Cotto, G. Crawford, H.J. Cremonini, R. Creusot, A. Cummings, A. de Castro Gónzalez, A. de la Taille, C. Diesing, R. Dinaucourt, P. Di Nola, A. Ebisuzaki, T. Eser, J. Fenu, F. Ferrarese, S. Filippatos, G. Finch, W.W. Flaminio, F. Fornaro, C. Fuehne, D. Fuglesang, C. Fukushima, M. Gadamsetty, S. Gardiol, D. Garipov, G.K. Gazda, E. Golzio, A. Guarino, F. Guépin, C. Haungs, A. Heibges, T. Isgrò, F. Judd, E.G. Kajino, F. Kaneko, I. Kim, S.-W. Klimov, P.A. Krizmanic, J.F. Kungel, V. Kuznetsov, E. López Martínez, F. Mandát, D. Manfrin, M. Marcelli, A. Marcelli, L. Marszal, W. Matthews, J.N. Mese, M. Meyer, S.S. Mimouni, J. Miyamoto, H. Mizumoto, Y. Monaco, A. Nagataki, Gran Sasso Science Institute Viale Francesco Crispi 7 l’Aquila67100 Italy INFN Section of Turin Via P. Giuria 1 Turin10125 Italy University of Turin Department of Physics Via P. Giuria 1 Turin10125 Italy INAF Astrophysics Observatory of Turin Via Ossevatorio 20 Pino Torinese10025 Italy Moscow119234 Russia Moscow119234 Russia INFN Section of Rome Tor Vergata Via della Ricerca Scientifica 1 Rome00133 Italy RIKEN 2-1 Hirosawa Wako Saitama351-0198 Japan Universté Paris Cité CNRS Astroparticule et Cosmologie 10 Rue Alice Domon et èonie Duquet Paris75013 France KTH Royal Institute of Technology Brinellvägen 8 Stockholm114 28 Sweden University of Rome Tor Vergata Department of Physics Via della Ricerca Scientifica 1 Rome00133 Italy Technical University of Munich Arcisstraße 21 Munich80333 Germany S.P. Korolev Rocket and Space Corporation Energia Lenin str. 4a Korolev Moscow141070 Russia ASI Italian Space Agency Via del Politecnico Rome00133 Italy Omega Ecole Polytechique CNRS IN2P3 Rte de Saclay Palaiseau91120 France They University of Chicago Department of Astronomy and Astrophysics 5640 S. Ellis Avenue ChicagoIL60637 United States Karlsruhe Institute of Technology Hermann-von-Helmholtz-Plats 1 Eggenstein-Leopoldshafen76344 Germany Colorado Schoold of Mines Department of Physics 1523 Illinois St. GoldenCO80401 United States INFN National Laboratories of Frascati Via Enrico Fermi 54 Frascati00044 Italy Konan University Department of Physics 8 chome-9-1 Okamoto Higashinada Ward Kobe Hyogo658-8501 Japan National Centre for Nuclear Researche 28 pulku Strzelców Kaniowskich 69 Lódź90-558 Poland University of Warsaw Faculty of Physics Ludwika Pasteura 5 Warsaw02-093 Poland Algiers Algeria Univ. Constantine I Constantine Algeria Joint Laboratory of Optics Faculty of Science Palacký University Olomouc Czech Republic Institute of Physics The Czech Academy of Sciences Prague Czech Republic Université de Paris CN

Mini-EUSO is a wide Field-of-View (FoV, 44◦) telescope currently in operation from a nadia-facing UV-transparent window in the Russian Zvezda module on the International Space Station (ISS). It is the first detector of the JEM-EUSO program deployed on the ISS, launched in August 2019. The main goal of Mini-EUSO is to measure the UV emissions from the ground and atmosphere, using an orbital platform. Mini-EUSO is mainly sensitive in the 290-430 nm bandwidth. Light is focused by a system of two Fresnel lenses of 25 cm diameter each on the Photo- Detector-Module (PDM), which consists of an array of 36 Multi-Anode Photomultiplier Tubes (MAPMTs), for a total of 2304 pixels working in photon counting mode, in three different time resolutions of 2.5 μs, 320 μs, 40.96 ms operation in parallel. In the longest time scale, the data is continuously acquired to monitor the UV emission of the Earth. It is best suited for the observation of ground sources and therefore has been used for the observational campaigns of the Mini-EUSO. In this contribution, we present the assembled UV flasher, the operation of the field campaign and the analysis of the obtained data. The result is compared with the overall efficiency computed from the expectations which takes into account the atmospheric attenuation and the parameterization of different effects such as the optics efficiency, the MAPMT detection efficiency, BG3 filter transmittance and the transparency of the ISS window. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Atmospheric optics

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence for the Electron Ion Collider (AI4EIC)

arXiv

引用

arXiv 2023年

作者： Allaire, C. Ammendola, R. Aschenauer, E.-C. Balandat, M. Battaglieri, M. Bernauer, J. Bondì, M. Branson, N. Britton, T. Butter, A. Chahrour, I. Chatagnon, P. Cisbani, E. Cline, E.W. Dash, S. Dean, C. Deconinck, W. Deshpande, A. Diefenthaler, M. Ent, R. Fanelli, C. Finger, M. Finger, M. Fol, E. Furletov, S. Gao, Y. Giroux, J. Waduge, N.C. Gunawardhana Harish, R. Hassan, O. Hegde, P.L. Hernández-Pinto, R.J. Blin, A. Hiller Horn, T. Huang, J. Jayakodige, D. Joo, B. Junaid, M. Karande, P. Kriesten, B. Elayavalli, R. Kunnawalkam Lin, M. Liu, F. Liuti, S. Matousek, G. McEneaney, M. McSpadden, D. Menzo, T. Miceli, T. Mikuni, V. Montgomery, R. Nachman, B. Nair, R.R. Niestroy, J. Oregon, S.A. Ochoa Oleniacz, J. Osborn, J.D. Paudel, C. Pecar, C. Peng, C. Perdue, G.N. Phelps, W. Purschke, M.L. Rajput, K. Ren, Y. Renteria-Estrada, D.F. Richford, D. Roy, B.J. Roy, D. Sato, N. Satogata, T. Sborlini, G. Schram, M. Shih, D. Singh, J. Singh, R. Siodmok, A. Stone, P. Stevens, J. Suarez, L. Suresh, K. Tawfik, A.-N. Acosta, F. Torales Tran, N. Trotta, R. Twagirayezu, F.J. Tyson, R. Volkova, S. Vossen, A. Walter, E. Whiteson, D. Williams, M. Wu, S. Zachariou, N. Zurita, P. Argonne National Laboratory LemontIL60439 United States Baruch College New YorkNY10010 United States Brookhaven National Lab UptonNY33973 United States Brookhaven National Laboratory Department of Physics UptonNY11973-5000 United States CERN Accelerators and Beam Physics Group GenevaCH-1211 Switzerland Center for Frontiers in Nuclear Science Stony Brook University Stony BrookNY11790-3800 United States Center for Frontiers in Nuclear Science Stony Brook University Department of Physics and Astronomy Stony BrookNY11794 United States Center for Nuclear Femtography WashingtonDC20005 United States Central University of Karnataka Kalaburagi585367 India Charles University Faculty of Mathematics and Physics Prague18000 Czech Republic Christopher Newport University Newport NewsVA11606 United States Deggendorf Institute of Technology Deggendorf94469 Germany Departamento de Física Fundamental e IUFFyM Universidad de Salamanca Salamanca37008 Spain Departamento de Física Teórica & IPARCOS Universidad Complutense de Madrid adrid E-28040 Spain Drexel University PhiladelphiaPA19104 United States Duke University DurhamNC27708 United States Facultad de Ciencias Físico-Matemáticas Universidad Autónoma de Sinaloa Ciudad Universitaria Culiacán Sinaloa80000 Mexico Fermilab BataviaIL60510 United States Florida International University MiamiFL33199 United States Future University in Egypt New Cairo11835 Egypt GFIMA - Escuela de Ciencias Ingeniería y Diseño Universidad Europea de Valencia Valencia46010 Spain Hampton University HamptonVA23668 United States Homi Bhabha National Institute Mumbai400094 India INFN Sezione di Roma Tor Vergata RomeI-00133 Italy Indian Institute of Technology Bombay Maharashtra Mumbai400076 India Institut für Theoretische Physik Universität Regensburg RegensburgD-93040 Germany Institute for Theoretical Physics TübingenUniversity Tübingen72076 Germany Jagiellonian University Kraków31-007 Poland Jeffer

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments. Copyright © 2023, The Authors. All rights reserved.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Final results on the 0νββ decay half-life limit of 100Mo from the CUPID-Mo experiment

arXiv

引用

arXiv 2022年

作者： Augier, C. Barabash, A.S. Bellini, F. Benato, G. Beretta, M. Bergé, L. Billard, J. Borovlev, Yu.A. Cardani, L. Casali, N. Cazes, A. Chapellier, M. Chiesa, D. Dafinei, I. Danevich, F.A. De Jesus, M. de Marcillac, P. Dixon, T. Dumoulin, L. Eitel, K. Ferri, F. Fujikawa, B.K. Gascon, J. Gironi, L. Giuliani, A. Grigorieva, V.D. Gros, M. Helis, D.L. Huang, H.Z. Huang, R. Imbert, L. Johnston, J. Juillard, A. Khalife, H. Kleifges, M. Kobychev, V.V. Kolomensky, Yu.G. Konovalov, S.I. Loaiza, P. Ma, L. Makarov, E.P. Mariam, R. Marini, L. Marnieros, S. Navick, X.-F. Nones, C. Norman, E.B. Olivieri, E. Ouellet, J.L. Pagnanini, L. Pattavina, L. Paul, B. Pavan, M. Peng, H. Pessina, G. Pirro, S. Poda, D.V. Polischuk, O.G. Pozzi, S. Previtali, E. Redon, Th. Rojas, A. Rozov, S. Sanglard, V. Scarpaci, J.A. Schmidt, B. Shen, Y. Shlegel, V.N. Singh, V. Tomei, C. Tretyak, V.I. Umatov, V.I. Vagneron, L. Velázquez, M. Welliver, B. Winslow, L. Xue, M. Yakushev, E. Zarytskyy, M. Zolotarova, A.S. Univ Lyon Université Lyon 1 CNRS IN2P3 IP2I-Lyon VilleurbanneF-69622 France National Research Centre Kurchatov Institute Institute of Theoretical and Experimental Physics Moscow117218 Russia Dipartimento di Fisica Sapienza Università di Roma P.le Aldo Moro 2 RomeI-00185 Italy INFN Sezione di Roma P.le Aldo Moro 2 RomeI-00185 Italy IRFU CEA Université Paris-Saclay Gif-sur-YvetteF-91191 France INFN Laboratori Nazionali del Gran Sasso AQ AssergiI-67100 Italy Department of Physics University of California BerkeleyCA94720 United States Université Paris-Saclay CNRS IN2P3 IJCLab Orsay91405 France Nikolaev Institute of Inorganic Chemistry Novosibirsk630090 Russia Dipartimento di Fisica Università di Milano-Bicocca MilanoI-20126 Italy INFN Sezione di Milano-Bicocca MilanoI-20126 Italy Institute for Nuclear Research Kyiv03028 Ukraine Institute for Astroparticle Physics Karlsruhe Institute of Technology Karlsruhe76021 Germany Nuclear Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Gran Sasso Science Institute L'AquilaI-67100 Italy Fudan University Shanghai200433 China Massachusetts Institute of Technology CambridgeMA02139 United States Institute for Data Processing and Electronics Karlsruhe Institute of Technology Karlsruhe76021 Germany Department of Nuclear Engineering University of California BerkeleyCA94720 United States Physik Department Technische Universität München GarchingD-85748 Germany Department of Modern Physics University of Science and Technology of China Hefei230027 China LSM Laboratoire Souterrain de Modane Modane73500 France Laboratory of Nuclear Problems JINR Moscow region Dubna141980 Russia Department of Physics & Astronomy Northwestern University EvanstonIL60208 United States Université Grenoble Alpes CNRS Grenoble INP SIMAP Saint Martin d'Héres38402 France

The CUPID-Mo experiment to search for 0νββ decay in 100Mo has been recently completed after about 1.5 years of operation at Laboratoire Souterrain de Modane (France). It served as a demonstrator for CUPID, a next generation 0νββ decay experiment. CUPID-Mo was comprised of 20 enriched Li2100MoO4 scintillating calorimeters, each with a mass of ∼ 0.2 kg, operated at ∼20 mK. We present here the final analysis with the full exposure of CUPID-Mo (100Mo exposure of 1.47 kg×year) used to search for lepton number violation via 0νββ decay. We report on various analysis improvements since the previous result on a subset of data, reprocessing all data with these new techniques. We observe zero events in the region of interest and set a new limit on the 100Mo 0νββ decay half-life of T1/20ν > 1.8 × 1024 year (stat.+syst.) at 90% CI. Under the light Majorana neutrino exchange mechanism this corresponds to an effective Majorana neutrino mass of 〈mββ〉 © 2022, CC BY.

关键词： Calorimeters

来源：评论

学校读者我要写书评

暂无评论

A method for detecting flower collision based on spherical projection 1

引用

13th Conference on Image and Graphics Technologies and Applications, IGTA 2018

作者： Cao, Tingrong Lu, Ling Wang, Wenli Li, Lihua Wang, Lei Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang China Jiangxi Engineering Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang China

ISBN: (数字)9789811317026

ISBN: (纸本)9789811317019

In this paper, a method for detecting and mapping the petals of plant petals is presented. Firstly, the parametric equations are used to represent the initial state of the petals surface. The three - dimensional Cartesian coordinates of each point in the petals are projected onto the spherical coordinates respectively, The discrete values of the projection of the petals are converted to the two-dimensional coordinate plane. Secondly, multiple buffers are used to record the result of each petals projection and the distance of the petals from the origin of the spherical coordinates. According to the value of each buffer, it is determined whether the current petal collides with others, the collides result can be determined the range of collision. Finally, the current petals are deformed or moved to avoid collided with others. Through the collision test between the petals in the process of flower generation, it shows that the detection effect is good. © Springer Nature Singapore Pte Ltd., 2018.

关键词： Spheres

来源：评论

学校读者我要写书评

暂无评论

Natural image classification based on multi-parameter optimization in deep convolutional neural network

引用

International Journal of Performability Engineering 2019年第9期15卷 2515-2521页

作者： Wang, Lei Zhang, Yanning Xi, Runping Ling, Lu School of Computer Northwestern Polytechnical University Xi'an710072 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi'an710072 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang330013 China

Traditional machine learning algorithms cannot adequately train the parameters of networks using massive data. A deep convolutional neural network based on multi-parameter optimization by the TensorFlow deep learning framework is designed in this paper. In order to improve the training speed and prevent over-fitting, we improve and optimize the multi-parameters, including the batch value, dropout, and momentum in the network structure. The experiment involves training and testing on the standard natural image data sets in cifar-10 and cifar-100. The experimental results show that the method achieve better classification accuracy in less time compared with other algorithms, such as Conv-KN, ImageNet-2010, SVM, LR, and Boosting. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

Decoding the Molecular Universe - Workshop Report

arXiv

引用

arXiv 2023年

作者： Metz, Thomas O. Adkins, Joshua N. Armentrout, Peter B. Chain, Patrick Chu, Fanny Corley, Courtney D. Cort, John R. Denis, Elizabeth Drell, Daniel Duncan, Katherine R. Ewing, Robert G. Fernandez, Facundo M. Fiehn, Oliver Garg, Neha Grimme, Stefan Henry, Christopher Hettich, Robert L. Kind, Tobias Linington, Roger G. Miller, Gary W. Northen, Trent Overdahl, Kirsten Patrinos, Ari Raftery, Daniel Rigor, Paul Smith, Richard D. Sobus, Jon Teeguarden, Justin Vertes, Akos Waters, Katrina Webb-Robertson, Bobbie-Jo Williams, Antony Wishart, David Biological Sciences Division Earth and Biological Sciences Directorate Pacific Northwest National Laboratory RichlandWA United States Department of Chemistry University of Utah Salt Lake CityUT United States Biosciences Division Chemical Earth and Life Sciences Directorate Los Alamos National Laboratory Los AlamosNM United States Nuclear Chemistry and Biology Division National Security Directorate Pacific Northwest National Laboratory RichlandWA United States AI and Data Analytics Division Pacific Northwest National Laboratory RichlandWA United States Office of Biological and Environmental Research U.S. Department of Energy WashingtonDC United States University of Strathclyde Strathclyde Institute of Pharmacy and Biomedical Sciences Glasgow United Kingdom School of Chemistry and Biochemistry Petit Institute for Bioengineering and Bioscience Georgia Institute of Technology AtlantaGA United States University of California Davis West Coast Metabolomics Center DavisCA United States School of Chemistry and Biochemistry Petit Institute for Bioengineering and Bioscience Center for Microbial Dynamics and Infection Georgia Institute of Technology AtlantaGA United States Mulliken Center for Theoretical Chemistry Clausius Institute for Physical and Theoretical Chemistry University of Bonn Germany Data Science and Learning Division Argonne National Laboratory LemontIL United States Biosciences Division Oak Ridge National Laboratory Oak RidgeTN United States Enveda Biosciences BoulderCO United States Department of Chemistry Simon Fraser University BurnabyBC Canada Department of Environmental Health Sciences Mailman School of Public Health Columbia University New YorkNY United States Environmental Genomics and System Biology Division Lawrence Berkeley National Laboratory CA United States Metabolomics Core Facility National Institute of Environmental Health Sciences Research Triangle Park NC United States Novim Group Santa BarbaraCA United States Nor

On August 9-10, 2023, a workshop was convened at the Pacific Northwest National laboratory (PNNL) in Richland, WA that brought together a group of internationally recognized experts in metabolomics, natural products discovery, chemical ecology, chemical and biological threat assessment, cheminformatics, computational chemistry, cloud computing, artificial intelligence, and novel technology development. These experts were invited to assess the value and feasibility of a grand-scale project to create new technologies that would allow the identification and quantification of all small molecules, or to "decode the molecular universe." The Decoding the Molecular Universe project would extend and complement the success of the Human Genome Project (HGP) by developing new capabilities and technologies to measure small molecules – defined as non-protein, non-polymer molecules less than ~1500 Daltons – of any origin and generated in biological systems or produced abiotically. The workshop was inspired by recognition that these new technologies would drive the next revolution in multiple fields of strategic importance to the nation: biological sciences, medical sciences, national security, chemistry, and the bio-economy. The workshop was supported by PNNL’s investment to advance the field of computational mass spectrometry in support of Department of Energy and Department of Homeland Security missions via a project named the m/q Initiative. The workshop was modeled on similar workshops and related efforts held in the mid-1980s that were the catalyst for the HGP. Workshop participants and observers included representatives from academia, government agencies, industry, and national laboratories whose research involves or where the success of programs and mission areas depends heavily on the study or measurement of such small molecules. Primary motivations for the workshop were a nearly universal need – across scientific disciplines and applied and basic research domains – to ide

关键词： Proteins

来源：评论

学校读者我要写书评

暂无评论

Quantum Advantage in Cryptography with a Low-Connectivity Quantum Annealer

引用

Physical Review Applied 2020年第5期13卷 054062-054062页

作者： Feng Hu Lucas Lamata Chao Wang Xi Chen Enrique Solano Mikel Sanz Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai 200444 China Department of Physical Chemistry University of the Basque Country UPV/EHU Apartado 644 48080 Bilbao Spain Departamento de Física Atómica Molecular y Nuclear Universidad de Sevilla Sevilla 41080 Spain International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Department of Physics Shanghai University Shanghai 200444 China IKERBASQUE Basque Foundation for Science María Díaz de Haro 3 Bilbao 48013 Spain IQM Munich Germany

The application in cryptography of quantum algorithms for prime factorization fostered the interest in quantum computing. However, quantum computers, and particularly quantum annealers, can also be helpful to construct secure cryptographic keys. Indeed, finding robust Boolean functions for cryptography is an important problem in sequence ciphers, block ciphers, and hash functions, among others. Due to the superexponential size O(22n) of the associated space, finding n-variable Boolean functions with global cryptographic constraints is computationally hard. This problem has already been addressed employing generic low-connected incoherent D-Wave quantum annealers. However, the limited connectivity of the Chimera graph, together with the exponential growth in the complexity of the Boolean-function design problem, limit the problem scalability. Here, we propose a special-purpose coherent quantum-annealing architecture with three couplers per qubit, designed to optimally encode the bent-function design problem. A coherent quantum annealer with this tree-type architecture has the potential to solve the eight-variable bent-function design problem, which is classically unsolved, with only 127 physical qubits and 126 couplers. This paves the way to reach useful quantum supremacy within the framework of quantum annealing for cryptographic purposes.

关键词： Adiabatic quantum optimization Boolean satisfiability problem Quantum algorithms Quantum cryptography Quantum simulation Ising model

来源：评论

学校读者我要写书评

暂无评论

Estimation of the exposure of the TUS space-based cosmic ray observatory 37

Estimation of the exposure of the TUS space-based cosmic ray...

引用

37th International Cosmic Ray Conference, ICRC 2021

作者： Fenu, Francesco Shinozaki, Kenji Zotov, Mikhail Bertaina, Mario Castellina, Antonella Cellino, Alberto Klimov, Pavel Abdellaoui, G. Abe, S. Adams, J.H. Allard, D. Alonso, G. Anchordoqui, L. Anzalone, A. Arnone, E. Asano, K. Attallah, R. Attoui, H. Ave Pernas, M. Bagheri, M. Baláz, J. Bakiri, M. Barghini, D. Bartocci, S. Battisti, M. Bayer, J. Beldjilali, B. Belenguer, T. Belkhalfa, N. Bellotti, R. Belov, A.A. Benmessai, K. Bertaina, M. Bertone, P.F. Biermann, P.L. Bisconti, F. Blaksley, C. Blanc, N. Blin-Bondil, S. Bobik, P. Bogomilov, M. Bolmgren, K. Bozzo, E. Briz, S. Bruno, A. Caballero, K.S. Cafagna, F. Cambié, G. Campana, D. Capdevielle, J.-N. Capel, F. Caramete, A. Caramete, L. Carlson, P. Caruso, R. Casolino, M. Cassardo, C. Castellina, A. Catalano, O. Cellino, A. Černý, K. Chikawa, M. Chiritoi, G. Christl, M.J. Colalillo, R. Conti, L. Cotto, G. Crawford, H.J. Cremonini, R. Creusot, A. de Castro Gónzalez, A. de la Taille, C. del Peral, L. Diaz Damian, A. Diesing, R. Dinaucourt, P. Djakonow, A. Djemil, T. Ebersoldt, A. Ebisuzaki, T. Eser, J. Fenu, F. Fernández-González, S. Ferrarese, S. Filippatos, G. Finch, W.I. Fornaro, C. Fouka, M. Franceschi, A. Franchini, S. Fuglesang, C. Fujii, T. Fukushima, M. Galeotti, P. García-Ortega, E. Gardiol, D. Garipov, G.K. Gascón, E. Gazda, E. Genci, J. Golzio, A. González Alvarado, C. Gorodetzky, P. Green, A. Guarino, F. Guépin, C. Guzmán, A. Hachisu, Y. Haungs, A. Hernández Carretero, J. Hulett, L. Ikeda, D. Inoue, N. Inoue, S. Isgrò, F. Itow, Y. Jammer, T. Jeong, S. Joven, E. Judd, E.G. Jochum, J. Kajino, F. Kajino, T. Kalli, S. Kaneko, I. Karadzhov, Y. Kasztelan, M. Katahira, K. Kawai, K. Kawasaki, Y. Kedadra, A. Khales, H. Khrenov, B.A. Kim, Jeong-Sook Kim, Soon-Wook Kleifges, M. Kolev, D. Kreykenbohm, I. Krizmanic, J.F. Królik, K. Kungel, V. Kurihara, Y. Kusenko, A. Kuznetsov, E. Lahmar, H. Lakhdari, F. Licandro, J. López Campano, L. López Martínez, F. Università degli Studi di Torino Via Pietro Giuria 1 Torino10125 Italy INAF Osservatorio Astrofisico di Torino Via Osservatorio 20 Torino10025 Italy National Centre for Nuclear Research Cosmic Ray Laboratory Lodz Poland Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University Russia Algiers Algeria Algiers Algeria LPR Dept. of Physics Faculty of Sciences University Badji Mokhtar Annaba Algeria Univ. Constantine I Constantine Algeria Department of Physics Faculty of Sciences University of M’sila M’sila Algeria Research Unit on Optics and Photonics UROP-CDTA Sétif Algeria Telecom Lab. Faculty of Technology University Abou Bekr Belkaid Tlemcen Algeria St. Kliment Ohridski University of Sofia Bulgaria Joint Laboratory of Optics Faculty of Science Palacký University Olomouc Czech Republic Institute of Physics The Czech Academy of Sciences Prague Czech Republic Omega Ecole Polytechnique CNRS IN2P3 Palaiseau France Université de Paris CNRS AstroParticule et Cosmologie ParisF-75013 France IRAP Université de Toulouse CNRS Toulouse France ECAP University of Erlangen-Nuremberg Germany Germany Experimental Physics Institute Kepler Center University of Tübingen Germany Institute for Astronomy and Astrophysics Kepler Center University of Tübingen Germany Technical University of Munich Munich Germany Istituto Nazionale di Fisica Nucleare Sezione di Bari Italy Universita’ degli Studi di Bari Aldo Moro INFN Sezione di Bari Italy Dipartimento di Fisica e Astronomia "Ettore Majorana" Universita’ di Catania Italy Istituto Nazionale di Fisica Nucleare Sezione di Catania Italy Istituto Nazionale di Fisica Nucleare Laboratori Nazionali di Frascati Italy Istituto Nazionale di Fisica Nucleare Sezione di Napoli Italy Universita’ di Napoli Federico II Dipartimento di Fisica "Ettore Pancini" Italy INAF - Istituto di Astrofisica Spaziale e Fisica Cosmica di Palermo Italy Istituto Nazionale di Fisica Nucleare Sezione di Roma Tor Vergat

The TUS observatory was the first orbital detector aimed at the detection of ultra-high energy cosmic rays (UHECRs). It was launched on April 28, 2016, from the Vostochny cosmodrome in Russia and operated until December 2017. It collected ∼ 80, 000 events with a time resolution of 0.8 μs. A fundamental parameter to be determined for cosmic ray studies is the exposure of an experiment. This parameter is important to estimate the average expected event rate as a function of energy and to calculate the absolute flux in case of event detection. Here we present results of a study aimed to calculate the exposure that TUS accumulated during its mission. The role of clouds, detector dead time, artificial sources, storms, lightning discharges, airglow and moon phases is studied in detail. An exposure estimate with its geographical distribution is presented. We report on the applied technique and on the perspectives of this study in view of the future missions of the JEM-EUSO program. © Copyright owned by the author(s).

关键词： Cosmic rays

来源：评论

学校读者我要写书评

暂无评论

Analysis methods for the first KATRIN neutrino-mass measurement

引用

Physical Review D 2021年第1期104卷 012005-012005页

作者： M. Aker K. Altenmüller A. Beglarian J. Behrens A. Berlev U. Besserer B. Bieringer K. Blaum F. Block B. Bornschein L. Bornschein M. Böttcher T. Brunst T. S. Caldwell L. La Cascio S. Chilingaryan W. Choi D. Díaz Barrero K. Debowski M. Deffert M. Descher P. J. Doe O. Dragoun G. Drexlin S. Dyba F. Edzards K. Eitel E. Ellinger R. Engel S. Enomoto M. Fedkevych A. Felden J. A. Formaggio F. M. Fränkle G. B. Franklin F. Friedel A. Fulst K. Gauda W. Gil F. Glück R. Grössle R. Gumbsheimer T. Höhn V. Hannen N. Haußmann K. Helbing S. Hickford R. Hiller D. Hillesheimer D. Hinz T. Houdy A. Huber A. Jansen L. Köllenberger C. Karl J. Kellerer L. Kippenbrock M. Klein A. Kopmann M. Korzeczek A. Kovalík B. Krasch H. Krause T. Lasserre T. L. Le O. Lebeda B. Lehnert A. Lokhov J. M. Lopez Poyato K. Müller M. Machatschek E. Malcherek M. Mark A. Marsteller E. L. Martin C. Melzer S. Mertens S. Niemes P. Oelpmann A. Osipowicz D. S. Parno A. W. P. Poon F. Priester M. Röllig C. Röttele O. Rest R. G. H. Robertson C. Rodenbeck M. Ryšavý R. Sack A. Saenz A. Schaller (née Pollithy) P. Schäfer L. Schimpf K. Schlösser M. Schlösser L. Schlüter M. Schrank B. Schulz M. Šefčík H. Seitz-Moskaliuk V. Sibille D. Siegmann M. Slezák F. Spanier M. Steidl M. Sturm M. Sun H. H. Telle T. Thümmler L. A. Thorne N. Titov I. Tkachev N. Trost D. Vénos K. Valerius A. P. Vizcaya Hernández S. Wüstling M. Weber C. Weinheimer C. Weiss S. Welte J. Wendel J. F. Wilkerson J. Wolf W. Xu Y.-R. Yen S. Zadoroghny G. Zeller Tritium Laboratory Karlsruhe (TLK) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Technische Universität München James-Franck-Str. 1 85748 Garching Germany IRFU (DPhP & APC) CEA Université Paris-Saclay 91191 Gif-sur-Yvette France Institute for Data Processing and Electronics (IPE) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Institute of Experimental Particle Physics (ETP) Karlsruhe Institute of Technology (KIT) Wolfgang-Gaede-Str. 1 76131 Karlsruhe Germany Institute for Astroparticle Physics (IAP) Karlsruhe Institute of Technology (KIT) Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Institute for Nuclear Research of Russian Academy of Sciences 60th October Anniversary Prospect 7a 117312 Moscow Russia Institut für Kernphysik Westfälische Wilhelms-Universität Münster Wilhelm-Klemm-Str. 9 48149 Münster Germany Max-Planck-Institut für Kernphysik Saupfercheckweg 1 69117 Heidelberg Germany Max-Planck-Institut für Physik Föhringer Ring 6 80805 München Germany Department of Physics and Astronomy University of North Carolina Chapel Hill North Carolina 27599 USA Triangle Universities Nuclear Laboratory Durham North Carolina 27708 USA Departamento de Química Física Aplicada Universidad Autonoma de Madrid Campus de Cantoblanco 28049 Madrid Spain Department of Physics Faculty of Mathematics and Natural Sciences University of Wuppertal Gaußstr. 20 42119 Wuppertal Germany Center for Experimental Nuclear Physics and Astrophysics and Department of Physics University of Washington Seattle Washington 98195 USA Nuclear Physics Institute of the CAS v. v. i. CZ-250 68 Řež Czech Republic Laboratory for Nuclear Science Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge Massachusetts 02139 USA Department of Physics Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA Institute for Nuclear and Parti

We report on the dataset, data handling, and detailed analysis techniques of the first neutrino-mass measurement by the Karlsruhe Tritium Neutrino (KATRIN) experiment, which probes the absolute neutrino-mass scale via the β-decay kinematics of molecular tritium. The source is highly pure, cryogenic T2 gas. The β electrons are guided along magnetic field lines toward a high-resolution, integrating spectrometer for energy analysis. A silicon detector counts β electrons above the energy threshold of the spectrometer, so that a scan of the thresholds produces a precise measurement of the high-energy spectral tail. After detailed theoretical studies, simulations, and commissioning measurements, extending from the molecular final-state distribution to inelastic scattering in the source to subtleties of the electromagnetic fields, our independent, blind analyses allow us to set an upper limit of 1.1 eV on the neutrino-mass scale at a 90% confidence level. This first result, based on a few weeks of running at a reduced source intensity and dominated by statistical uncertainty, improves on prior limits by nearly a factor of two. This result establishes an analysis framework for future KATRIN measurements, and provides important input to both particle theory and cosmology.

关键词： Neutrinos

来源：评论

学校读者我要写书评

暂无评论

Erratum to: Measurement of the neutron total cross sections of aluminum at the back-n white neutron source of CSNS

引用

The European Physical Journal A 2021年第8期57卷 1-1页

作者： Liu, Xingyan Yang, Yiwei Liu, Rong Wen, Zhongwei Wen, Jie Han, Zijie Chen, Yonghao Jing, Hantao Yi, Han Bao, Jie Ren, Zhizhou An, Qi Bai, Huaiyong Cao, Ping Chen, Qiping Cheng, Pinjing Cui, Zengqi Fan, Ruirui Feng, Changqing Gu, Minhao Guo, Fengqin Han, Changcai He, Guozhu He, Yongcheng He, Yuefeng Huang, Hanxiong Huang, Weiling Huang, Xiru Ji, Xiaolu Ji, Xuyang Jiang, Haoyu Jiang, Wei Kang, Ling Kang, Mingtao Li, Bo Li, Lun Li, Qiang Li, Xiao Li, Yang Liu, Shubin Luan, Guangyuan Ma, Yinglin Ning, Changjun Qi, Binbin Ren, Jie Ruan, Xichao Song, Zhaohui Sun, Hong Sun, Xiaoyang Sun, Zhijia Tan, Zhixin Tang, Hongqing Tang, Jingyu Wang, Pengcheng Wang, Qi Wang, Taofeng Wang, Yanfeng Wang, Zhaohui Wang, Zheng Wu, Qingbiao Wu, Xiaoguang Wu, Xuan Xie, Likun Yu, Li Yu, Tao Yu, Yongji Zhang, Guohui Zhang, Jing Zhang, Linhao Zhang, Liying Zhang, Qingmin Zhang, Qiwei Zhang, Xianpeng Zhang, Yuliang Zhang, Zhiyong Zhao, Yingtan Zhou, Liang Zhou, Zuying Zhu, Danyang Zhu, Kejun Zhu, Peng Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang China Institute of High Energy Physics Chinese Academy of Sciences (CAS) Beijing China Spallation Neutron Source Science Center Dongguan China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing China State Key Laboratory of Particle Detection and Electronics Beijing China Department of Modern Physics University of Science and Technology of China Hefei China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing China University of South China Hengyang China Northwest Institute of Nuclear Technology Xi’an China Department of Engineering and Applied Physics University of Science and Technology of China Hefei China School of Physics Beihang University Beijing China Xi’an Jiaotong University Xi’an China

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：