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Measurement of the charm mixing parameter yCP−yCPKπ using two-body D0 meson decays

Physical Review D 2022年第9期105卷 092013-092013页

作者： R. Aaij A. S. W. Abdelmotteleb C. Abellán Beteta F. Abudinén T. Ackernley B. Adeva M. Adinolfi H. Afsharnia C. Agapopoulou C. A. Aidala S. Aiola Z. Ajaltouni S. Akar J. Albrecht F. Alessio M. Alexander A. Alfonso Albero Z. Aliouche G. Alkhazov P. Alvarez Cartelle S. Amato J. L. Amey Y. Amhis L. An L. Anderlini M. Andersson A. Andreianov M. Andreotti D. Ao F. Archilli A. Artamonov M. Artuso K. Arzymatov E. Aslanides M. Atzeni B. Audurier S. Bachmann M. Bachmayer J. J. Back P. Baladron Rodriguez V. Balagura W. Baldini J. Baptista de Souza Leite M. Barbetti R. J. Barlow S. Barsuk W. Barter M. Bartolini F. Baryshnikov J. M. Basels G. Bassi B. Batsukh A. Battig A. Bay A. Beck M. Becker F. Bedeschi I. Bediaga A. Beiter V. Belavin S. Belin V. Bellee K. Belous I. Belov I. Belyaev G. Bencivenni E. Ben-Haim A. Berezhnoy R. Bernet D. Berninghoff H. C. Bernstein C. Bertella A. Bertolin C. Betancourt F. Betti Ia. Bezshyiko S. Bhasin J. Bhom L. Bian M. S. Bieker N. V. Biesuz S. Bifani P. Billoir A. Biolchini M. Birch F. C. R. Bishop A. Bitadze A. Bizzeti M. Bjørn M. P. Blago T. Blake F. Blanc S. Blusk D. Bobulska J. A. Boelhauve O. Boente Garcia T. Boettcher A. Boldyrev A. Bondar N. Bondar S. Borghi M. Borisyak M. Borsato J. T. Borsuk S. A. Bouchiba T. J. V. Bowcock A. Boyer C. Bozzi M. J. Bradley S. Braun A. Brea Rodriguez J. Brodzicka A. Brossa Gonzalo D. Brundu A. Buonaura L. Buonincontri A. T. Burke C. Burr A. Bursche A. Butkevich J. S. Butter J. Buytaert W. Byczynski S. Cadeddu H. Cai R. Calabrese L. Calefice S. Cali R. Calladine M. Calvi M. Calvo Gomez P. Camargo Magalhaes P. Campana A. F. Campoverde Quezada S. Capelli L. Capriotti A. Carbone G. Carboni R. Cardinale A. Cardini I. Carli P. Carniti L. Carus K. Carvalho Akiba A. Casais Vidal R. Caspary G. Casse M. Cattaneo G. Cavallero S. Celani J. Cerasoli D. Cervenkov A. J. Chadwick M. G. Chapman M. Charles Ph. Charpentier C. A. Chavez Barajas M. Chefdeville C. Chen S. Chen A. Chernov V. Chobanova S. Cholak M. Chrzaszcz A. Chubykin V. Chulikov P. Ciambrone M. F. Cicala X. Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Department of Physics University of Warwick Coventry United Kingdom Physik-Institut Universität Zürich Zürich Switzerland Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France University of Michigan Ann Arbor USA (associated with Syracuse University Syracuse New York USA) INFN Sezione di Milano Milano Italy University of Cincinnati Cincinnati Ohio USA Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Department of Physics and Astronomy University of Manchester Manchester United Kingdom Petersburg Nuclear Physics Institute NRC Kurchatov Institute (PNPI NRC KI) Gatchina Russia Cavendish Laboratory University of Cambridge Cambridge United Kingdom Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Université Paris-Saclay CNRS/IN2P3 IJCLab Orsay France INFN Sezione di Firenze Firenze Italy INFN Sezione di Ferrara Ferrara Italy University of Chinese Academy of Sciences Beijing China Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Institute for High Energy Physics NRC Kurchatov Institute (IHEP NRC KI) Protvino Russia Protvino Russia Syracuse University Syracuse New York USA Yandex School of Data Analysis Moscow Russia Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Laboratoire Leprince-Ringuet CNRS/IN2P3 Ecole Polytechnique Institut Polytechnique de

A measurement of the ratios of the effective decay widths of D0→π−π+ and D0→K−K+ decays over that of D0→K−π+ decays is performed with the LHCb experiment using proton–proton collisions at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 6 fb−1. These observables give access to the charm mixing parameters yCPππ−yCPKπ and yCPKK−yCPKπ, and are measured as yCPππ−yCPKπ=(6.57±0.53±0.16)×10−3, yCPKK−yCPKπ=(7.08±0.30±0.14)×10−3, where the first uncertainties are statistical and the second systematic. The combination of the two measurements is yCP−yCPKπ=(6.96±0.26±0.13)×10−3, which is four times more precise than the previous world average.

关键词： Hadronic decays Particle decays Particle mixing & oscillations Quark mixing Charmed mesons CP symmetry

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Measurement of the Bs0→μ+μ− decay properties and search for the B0→μ+μ− and Bs0→μ+μ−γ decays

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Physical Review D 2022年第1期105卷 012010-012010页

作者： R. Aaij C. Abellán Beteta T. Ackernley B. Adeva M. Adinolfi H. Afsharnia C. A. Aidala S. Aiola Z. Ajaltouni S. Akar J. Albrecht F. Alessio M. Alexander A. Alfonso Albero Z. Aliouche G. Alkhazov P. Alvarez Cartelle S. Amato Y. Amhis L. An L. Anderlini A. Andreianov M. Andreotti F. Archilli A. Artamonov M. Artuso K. Arzymatov E. Aslanides M. Atzeni B. Audurier S. Bachmann M. Bachmayer J. J. Back P. Baladron Rodriguez V. Balagura W. Baldini J. Baptista Leite R. J. Barlow S. Barsuk W. Barter M. Bartolini F. Baryshnikov J. M. Basels G. Bassi B. Batsukh A. Battig A. Bay M. Becker F. Bedeschi I. Bediaga A. Beiter V. Belavin S. Belin V. Bellee K. Belous I. Belov I. Belyaev G. Bencivenni E. Ben-Haim A. Berezhnoy R. Bernet D. Berninghoff H. C. Bernstein C. Bertella A. Bertolin C. Betancourt F. Betti Ia. Bezshyiko S. Bhasin J. Bhom L. Bian M. S. Bieker S. Bifani P. Billoir M. Birch F. C. R. Bishop A. Bitadze A. Bizzeti M. Bjørn M. P. Blago T. Blake F. Blanc S. Blusk D. Bobulska J. A. Boelhauve O. Boente Garcia T. Boettcher A. Boldyrev A. Bondar N. Bondar S. Borghi M. Borisyak M. Borsato J. T. Borsuk S. A. Bouchiba T. J. V. Bowcock A. Boyer C. Bozzi M. J. Bradley S. Braun A. Brea Rodriguez M. Brodski J. Brodzicka A. Brossa Gonzalo D. Brundu A. Buonaura C. Burr A. Bursche A. Butkevich J. S. Butter J. Buytaert W. Byczynski S. Cadeddu H. Cai R. Calabrese L. Calefice L. Calero Diaz S. Cali R. Calladine M. Calvi M. Calvo Gomez P. Camargo Magalhaes A. Camboni P. Campana A. F. Campoverde Quezada S. Capelli L. Capriotti A. Carbone G. Carboni R. Cardinale A. Cardini I. Carli P. Carniti L. Carus K. Carvalho Akiba A. Casais Vidal G. Casse M. Cattaneo G. Cavallero S. Celani J. Cerasoli A. J. Chadwick M. G. Chapman M. Charles Ph. Charpentier G. Chatzikonstantinidis C. A. Chavez Barajas M. Chefdeville C. Chen S. Chen A. Chernov V. Chobanova S. Cholak M. Chrzaszcz A. Chubykin V. Chulikov P. Ciambrone M. F. Cicala X. Cid Vidal G. Ciezarek P. E. L. Clarke M. Clemencic H. V. Cliff J. Closier J. L. Cobbledick V. Coco J. A. B. Coelho J. Cogan E Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Physik-Institut Universität Zürich Zürich Switzerland Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France University of Michigan Ann Arbor USA (associated with Syracuse University Syracuse New York USA) INFN Sezione di Milano Milano Italy University of Cincinnati Cincinnati Ohio USA Fakultät Physik Technische Universität Dortmund Dortmund Germany European Organization for Nuclear Research (CERN) Geneva Switzerland School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Department of Physics and Astronomy University of Manchester Manchester United Kingdom Petersburg Nuclear Physics Institute NRC Kurchatov Institute (PNPI NRC KI) Gatchina Russia Cavendish Laboratory University of Cambridge Cambridge United Kingdom Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Université Paris-Saclay CNRS/IN2P3 IJCLab Orsay France INFN Sezione di Firenze Firenze Italy INFN Sezione di Ferrara Ferrara Italy Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Institute for High Energy Physics NRC Kurchatov Institute (IHEP NRC KI) Protvino Russia Protvino Russia Syracuse University Syracuse New York USA Yandex School of Data Analysis Moscow Russia Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Laboratoire Leprince-Ringuet CNRS/IN2P3 Ecole Polytechnique Institut Polytechnique de Paris Palaiseau France Institute of Physics Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Department of Physics University of Warwick Coventry United Kingdom Centro Brasileiro de Pesquisa

An improved measurement of the decay Bs0→μ+μ− and searches for the decays B0→μ+μ− and Bs0→μ+μ−γ are performed at the LHCb experiment using data collected in proton-proton collisions at s=7, 8 and 13 TeV, corresponding to integrated luminosities of 1, 2 and 6 fb−1, respectively. The Bs0→μ+μ− branching fraction and effective lifetime are measured to be B(Bs0→μ+μ−)=(3.09−0.43−0.11+0.46+0.15)×10−9 and τ(Bs0→μ+μ−)=(2.07±0.29±0.03) ps, respectively, where the uncertainties include both statistical and systematic contributions. No significant signal for B0→μ+μ− and Bs0→μ+μ−γ decays is found and the upper limits B(B0→μ+μ−)<2.6×10−10 and B(Bs0→μ+μ−γ)<2.0×10−9 at 95% confidence level are determined, where the latter is limited to the range mμμ>4.9 GeV/c2. Additionally, the ratio between the B0→μ+μ− and Bs0→μ+μ− branching fractions is measured to be Rμ+μ−<0.095 at 95% confidence level. The results are in agreement with the Standard Model predictions.

关键词： Branching fraction Flavor changing neutral currents Rare decays Bottom mesons

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Unveiling the role of Co-O-Mg bond in magnetic anisotropy of Pt/Co/MgO using atomically controlled deposition and in situ electrical measurement

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Physical Review B 2017年第9期95卷 094417-094417页

作者： Yumeng Yang Jiaren Yuan Long Qi Ying Wang Yanjun Xu Xiaowei Wang Yuanping Feng Baoxi Xu Lei Shen Yihong Wu Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 Singapore College of Science Nanjing University of Aeronautics and Astronautics Nanjing 210016 People's Republic of China Department of Physics Centre for Advanced Two-dimensional Materials National University of Singapore Singapore 117542 Singapore Data Storage Institute Agency for Science Technology and Research (A*STAR) 2 Fusionopolis Way 08-01 Innovis Singapore 138634 Singapore Department of Mechanical Engineering Engineering Science Programme Faculty of Engineering National University of Singapore Singapore 117575 Singapore

Despite the crucial role of interfacial perpendicular magnetic anisotropy in a Co(Fe)/MgO-based magnetic tunnel junction, the underlying mechanism is still being debated. Here, we report an anatomical study of the oxygen and Mg effect on Pt/Co bilayers through repeated in situ anomalous Hall effect measurements, controlled oxygen exposure, and Mg deposition in an ultrahigh vacuum system. We found that chemisorbed oxygen not only quenches the effective magnetic moment of the Co surface layer, but also softens its magnetic anisotropy. However, a subsequent Mg dusting on the oxygen preexposed Pt/Co surface can recover the magnetic anisotropy. The ab initio calculations on the exchange splitting and orbital hybridization near the Fermi level give a clear physical explanation of the experimental observations. Our results suggest that the Co(Fe)-O-M bond plays a more important role than the widely perceived Co(Fe)-O bond does in realizing interfacial perpendicular magnetic anisotropy in Co(Fe)/MgO heterostructures.

关键词： Magnetic anisotropy Spintronics Ab initio calculations

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A Comparison of CPU and GPU implementations for the LHCb Experiment Run 3 Trigger

arXiv

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arXiv 2021年

作者： Aaij, R. Adinolfi, M. Aiola, S. Akar, S. Albrecht, J. Alexander, M. Amato, S. Amhis, Y. Archilli, F. Bala, M. Bassi, G. Bian, L. Blago, M.P. Boettcher, T. Boldyrev, A. Borghi, S. Brea Rodriguez, A. Calefice, L. Calvo Gomez, M. Cámpora Pérez, D.H. Cardini, A. Cattaneo, M. Chobanova, V. Ciezarek, G. Cid Vidal, X. Cobbledick, J.L. Coelho, J.A.B. Colombo, T. Contu, A. Couturier, B. Craik, D.C. Currie, R. d’Argent, P. de Cian, M. Derkach, D. Dordei, F. Dorigo, M. Dufour, L. Durante, P. Dziurda, A. Dzyuba, A. Easo, S. Esen, S. Fernandez Declara, P. Filippov, S. Fitzpatrick, C. Frank, M. Gandini, P. Gligorov, Vladimir Vava Golobardes, E. Graziani, G. Grillo, L. Günther, P.A. Hansmann-Menzemer, S. Hennequin, A.M. Henry, L. Hill, D. Hollitt, S.E. Hu, J. Hulsbergen, W. Hunter, R.J. Hushchyn, M. Jashal, B.K. Jones, C.R. Klaver, S. Klimaszewski, K. Kopecna, R. Krzemien, W. Kucharczyk, M. Lane, R. Lazzari, F. Le Gac, R. Li, P. Lopes, J.H. Lucio Martinez, M. Lupato, A. Lupton, O. Lyu, X. Machefert, F. Madejczyk, O. Malde, S. Marchand, J.F. Mariani, S. Marin Benito, C. Martinez Santos, D. Martinez Vidal, F. Matev, R. Mazurek, M. Mitreska, B. Mitzel, D.S. Morello, M.J. Mu, H. Muzzetto, P. Naik, P. Needham, M. Neri, N. Neufeld, N. Nolte, N.S. O’Hanlon, D. Oyanguren, A. Pepe Altarelli, M. Petrucci, S. Petruzzo, M. Pica, L. Pisani, F. Piucci, A. Polci, F. Poluektov, A. Polycarpo, E. Prouve, C. Punzi, G. Quagliani, R. Rabadan Trejo, R.I. Ramos Pernas, M. Rangel, M.S. Ratnikov, F. Raven, G. Reiss, F. Renaudin, V. Robbe, P. Ryzhikov, A. Santimaria, M. Saur, M. Schiller, M. Schwemmer, R. Sciascia, B. Solomin, A. Suljik, F. Skidmore, N. Sokoloff, M.D. Spradlin, P. Stahl, M. Stahl, S. Stevens, H. Sun, L. Szabelski, A. Szumlak, T. Szymanski, M. Tou, D.Y. Tuci, G. Usachov, A. Valls Canudas, N. Vazquez Gomez, R. Vecchi, S. Vesterinen, M. Vilasis-Cardona, X. Vom Bruch, D. Wang, Z. Wojton, T. Whitehead, M. Williams, M. Witek, M. Xie, Y. Xu, A. Yin, H. Zdybal, M. Zenaiev, O. Zhang, D. Zhang, L. Zhu, X. Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China University of Chinese Academy of Sciences Beijing China Institute of Particle Physics Central China Normal University Hubei Wuhan China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Université Paris-Saclay CNRS IN2P3 IJCLab Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS IN2P3 Paris France Fakultät Physik Technische Universität Dortmund Dortmund Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy INFN Sezione di Pisa Pisa Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland Warsaw Poland Gatchina Russia Moscow Russia ICCUB Universitat de Barcelona Barcelona Spain Universidade de Santiago de Compostela Santiago de Compostela Spain Instituto de Fisica Corpuscular Centro Mixto Universidad de Valencia - CSIC Valencia Spain Geneva Switzerland Lausanne Switzerland Physik-Institut Universität Zürich Zürich Switzerland H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Cavendish Laboratory University of Cambridge Cambridge United Kingdom Department of Physics University of Warwick Coventry United Kingdom STFC Rutherford Appleton Laboratory Didcot Uni

The LHCb experiment at CERN is undergoing an upgrade in preparation for the Run 3 data taking period of the LHC. As part of this upgrade the trigger is moving to a fully software implementation operating at the LHC bunch crossing rate. We present an evaluation of a CPU-based and a GPU-based implementation of the first stage of the High Level Trigger. After a detailed comparison both options are found to be viable. This document summarizes the performance and implementation details of these options, the outcome of which has led to the choice of the GPU-based implementation as the baseline. © 2021, CC BY.

关键词： Hadrons

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

arXiv

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arXiv 2018年

作者： Maier-Hein, Lena Eisenmann, Matthias Reinke, Annika Onogur, Sinan Stankovic, Marko Scholz, Patrick Arbel, Tal Bogunovic, Hrvoje Bradley, Andrew P. Carass, Aaron Carolin Feldmann Frangi, Alejandro F. Ful, Peter M. van Ginneken, Bram Hanbury, Allan Honauer, Katrin Kozubek, Michal Landman, Bennett A. Marz, Keno Maier, Oskar Maier-Hein, Klaus Menze, Bjoern H. Müller, Henning Neher, Peter F. Niessen, Wiro Rajpoot, Nasir Sharp, Gregory C. Sirinukunwattana, Korsuk Speidel, Stefanie Stock, Christian Stoyanov, Danail Taha, Abdel Aziz van der Sommen, Fons Wang, Ching-Wei Weber, Marc-André Zheng, Guoyan Jannin, Pierre Kopp-Schneider, Annette Heidelberg Germany Centre for Intelligent Machines McGill University MontrealQC Canada Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna Vienna Austria Science and Engineering Faculty Queensland University of Technology BrisbaneQLD Australia Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore United States CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine University of Sheffield Sheffield United Kingdom Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center Nijmegen Netherlands Institute of Information Systems Engineering TU Wien Vienna Austria Heidelberg University Heidelberg Germany Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Electrical Engineering Vanderbilt University NashvilleTN United States Institute of Medical Informatics Universität zu Lübeck Lübeck Germany Heidelberg Germany Institute for Advanced Studies Department of Informatics Technical University of Munich Munich Germany Information System Institute HES-SO Sierre Switzerland Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC Rotterdam Netherlands Department of Computer Science University of Warwick Coventry United Kingdom Department of Radiation Oncology Massachusetts General Hospital BostonMA United States Institute of Biomedical Engineering University of Oxford Oxford United Kingdom National Center for Tumor Diseases Dresden Dresden Germany Heidelberg Germany Department of Computer Science University College London London United Kingdom Data Science Studio Research Studios Austria FG Vienna Austria Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands AIExplore NTUST Center of Computer Vision and Medical Imaging Graduate Institute of Biomedical Engineering National Ta

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet been performed. In this paper, we present a comprehensive analysis of biomedical image analysis challenges conducted up to now. We demonstrate the importance of challenges and show that the lack of quality control has critical consequences. First, reproducibility and interpretation of the results is often hampered as only a fraction of relevant information is typically provided. Second, the rank of an algorithm is generally not robust to a number of variables such as the test data used for validation, the ranking scheme applied and the observers that make the reference annotations. To overcome these problems, we recommend best practice guidelines and define open research questions to be addressed in the future. Copyright © 2018, The Authors. All rights reserved.

关键词： Quality control

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DeepZipper: A Novel Deep Learning Architecture for Lensed Supernovae Identification

arXiv

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arXiv 2021年

作者： Morgan, Robert Nord, B. Bechtol, K. González, S.J. Buckley-Geer, E. Möller, A. Park, J.W. Kim, A.G. Birrer, S. Aguena, M. Annis, J. Bocquet, S. Brooks, D. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Cawthon, R. da Costa, L.N. Davis, T.M. De Vicente, J. Doel, P. Ferrero, I. Friedel, D. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R.A. Gutierrez, G. Hollowood, D.L. Honscheid, K. James, D.J. Kuehn, K. Kuropatkin, N. Maia, M.A.G. Miquel, R. Palmese, A. Paz-Chinchón, F. Pereira, M.E.S. Pieres, A. Plazas Malagón, A.A. Reil, K. Roodman, A. Sanchez, E. Smith, M. Suchyta, E. Swanson, M.E.C. Tarle, G. To, C. Physics Department University of Wisconsin-Madison 1150 University Avenue MadisonWI53706 United States Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Legacy Survey of Space and Time Corporation Data Science Fellowship Program United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Legacy Survey of Space and Time 933 North Cherry Avenue TucsonAZ85721 United States Centre for Astrophysics & Supercomputing Swinburne University of Technology VIC3122 Australia Kavli Institute for Particle Astrophysics and Cosmology Department of Physics Stanford University StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 Munich81679 Germany Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Center for Astrophysical Surveys National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States The Barcelona Institute of Science and Technology Campus UAB Bellaterra Barcelona08193 Spain Physics Department William Jewell College LibertyMO64068 United States Observatório Nacional Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil School of Mathematics and Physics University of Queensland BrisbaneQLD4072 Australia Madrid Spain Institute of Theoretical Astrophysics University of Oslo P.O. Box 1029 Blindern OsloNO-0315 Norway Instituto de Fisica Teorica UAM/CSIC

Large-scale astronomical surveys have the potential to capture data on large numbers of strongly gravitationally lensed supernovae (LSNe). To facilitate timely analysis and spectroscopic follow-up before the supernova fades, an LSN needs to be identified soon after it begins. To quickly identify LSNe in optical survey datasets, we designed ZipperNet, a multi-branch deep neural network that combines convolutional layers (traditionally used for images) with long short-term memory (LSTM) layers (traditionally used for time series). We tested ZipperNet on the task of classifying objects from four categories – no lens, galaxy-galaxy lens, lensed type Ia supernova, lensed core-collapse supernova – within high-fidelity simulations of three cosmic survey data sets – the Dark Energy Survey (DES), Rubin Observatory’s Legacy Survey of Space and Time (LSST), and a Dark Energy Spectroscopic Instrument (DESI) imaging survey. Among our results, we find that for the LSST-like dataset, ZipperNet classifies LSNe with a receiver operating characteristic area under the curve of 0.97, predicts the spectroscopic type of the lensed supernovae with 79% accuracy, and demonstrates similarly high performance for LSNe 1-2 epochs after first detection. We anticipate that a model like ZipperNet, which simultaneously incorporates spatial and temporal information, can play a significant role in the rapid identification of lensed transient systems in cosmic survey experiments. Copyright © 2021, The Authors. All rights reserved.

关键词： Supernovae

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

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

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

In figure 11 of the original paper.

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Match Memory Recurrent Networks

Match Memory Recurrent Networks

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International Joint Conference on Neural Networks

作者： Spyridon Samothrakis Tom Vodopivec Maria Fasli Michael Fairbank Institute for Analytics and Data Science University of Essex Faculty of Computer and Information Science University of Ljubljana Computer Science and Electronic Engineering University of Essex

ISBN: (纸本)9781509006212

Imbuing neural networks with memory and attention mechanisms allows for better generalisation with fewer data samples. By focusing only on the relevant parts of data, which is encoded in an internal "memory" format, the network is able to infer better and more reliable patterns. Most neuronal attention mechanisms are based on internal networks structures that impose a similarity metric (e.g., dot-product), followed by some (soft-)max operator. In this paper, we propose a novel attention method based on a function between neuron activities, which we term a "match function", which is augmented by a recursive softmax function. We evaluate the algorithm on the bAbI question answering dataset and show that it has stronger performance when only one memory hop is used in both terms of average score and in terms the number of solved questions. Furthermore, with three memory hops, our algorithm can solve 12/20 benchmark questions using 1000 training samples per task. This is an improvement on the previous state of the art of 9/20 solved questions, which was held by end-to-end memory networks.

关键词： Neural networks Training Electronic mail Benchmark testing Dairy products Artificial intelligence

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Gaia Focused Product Release: Spatial distribution of two diffuse interstellar bands

arXiv

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arXiv 2023年

作者： Schultheis, M. Zhao, H. Zwitter, T. Bailer-Jones, C.A.L. Carballo, R. Sordo, R. Drimmel, R. Ordenovic, C. Pailler, F. Fouesneau, M. Creevey, O.L. Heiter, U. Recio-Blanco, A. Kordopatis, G. de Laverny, P. Marshall, D.J. Dharmawardena, T.E. Brown, A.G.A. Vallenari, A. Prusti, T. de Bruijne, J.H.J. Arenou, F. Babusiaux, C. Barbier, A. Biermann, M. Ducourant, C. Evans, D.W. Eyer, L. Guerra, R. Hutton, A. Jordi, C. Klioner, S.A. Lammers, U. Lindegren, L. Luri, X. Mignard, F. Randich, S. Sartoretti, P. Smiljanic, R. Tanga, P. Walton, N.A. Bastian, U. Cropper, M. Katz, D. Soubiran, C. van Leeuwen, F. Andrae, R. Audard, M. Bakker, J. Blomme, R. Castañeda, J. De Angeli, F. Fabricius, C. Frémat, Y. Galluccio, L. Guerrier, A. Masana, E. Messineo, R. Nicolas, C. Nienartowicz, K. Panuzzo, P. Riclet, F. Roux, W. Seabroke, G.M. Thévenin, F. Gracia-Abril, G. Portell, J. Teyssier, D. Altmann, M. Benson, K. Berthier, J. Burgess, P.W. Busonero, D. Busso, G. Cánovas, H. Carry, B. Cheek, N. Clementini, G. Damerdji, Y. Davidson, M. de Teodoro, P. Delchambre, L. Dell’Oro, A. Fraile Garcia, E. Garabato, D. García-Lario, P. Garralda Torres, N. Gavras, P. Haigron, R. Hambly, N.C. Harrison, D.L. Hatzidimitriou, D. Hernández, J. Hodgkin, S.T. Holl, B. Jamal, S. Jordan, S. Krone-Martins, A. Lanzafame, A.C. Löffler, W. Lorca, A. Marchal, O. Marrese, P.M. Moitinho, A. Muinonen, K. Nuñez Campos, M. Oreshina-Slezak, I. Osborne, P. Pancino, E. Pauwels, T. Riello, M. Rimoldini, L. Robin, A.C. Roegiers, T. Sarro, L.M. Siopis, C. Smith, M. Sozzetti, A. Utrilla, E. van Leeuwen, M. Weingrill, K. Abbas, U. Ábrahám, P. Abreu Aramburu, A. Aerts, C. Altavilla, G. Álvarez, M.A. Alves, J. Anders, F. Anderson, R.I. Antoja, T. Baines, D. Baker, S.G. Balog, Z. Barache, C. Barbato, D. Barros, M. Barstow, M.A. Bartolomé, S. Bashi, D. Bauchet, N. Baudeau, N. Becciani, U. Bedin, L.R. Bellas-Velidis, I. Bellazzini, M. Beordo, W. Berihuete, A. Bernet, M. Bertolotto, C. Université Côte d’Azur Observatoire de la Côte d’Azur CNRS Laboratoire Lagrange Bd de l’Observatoire CS 34229 Nice06304 Cedex 4 France Purple Mountain Observatory Chinese Academy of Sciences Nanjing210023 China Faculty of Mathematics and Physics University of Ljubljana Jadranska ulica 19 Ljubljana1000 Slovenia Max Planck Institute for Astronomy Königstuhl 17 Heidelberg69117 Germany Dpto. de Matemática Aplicada y Ciencias de la Computación Univ. de Cantabria ETS Ingenieros de Caminos Canales y Puertos Avda. de los Castros s/n Santander39005 Spain INAF - Osservatorio astronomico di Padova Vicolo Osservatorio 5 Padova35122 Italy INAF - Osservatorio Astrofisico di Torino via Osservatorio 20 TO Pino Torinese10025 Italy CNES Centre Spatial de Toulouse 18 avenue Edouard Belin Toulouse31401 Cedex 9 France Division of Astronomy and Space Physics Department of Physics and Astronomy Uppsala University Box 516 Uppsala751 20 Sweden IRAP Université de Toulouse CNRS UPS CNES 9 Av. colonel Roche BP 44346 Toulouse31028 Cedex 4 France Leiden Observatory Leiden University Niels Bohrweg 2 Leiden2333 CA Netherlands Keplerlaan 1 Noordwijk2201AZ Netherlands GEPI Observatoire de Paris Université PSL CNRS 5 Place Jules Janssen Meudon92190 France Univ. Grenoble Alpes CNRS IPAG Grenoble38000 France Astronomisches Rechen-Institut Zentrum für Astronomie Universität Heidelberg Mönchhofstr. 12-14 Heidelberg69120 Germany Laboratoire d’astrophysique de Bordeaux Univ. Bordeaux CNRS B18N allée Geoffroy Saint-Hilaire Pessac33615 France Institute of Astronomy University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Department of Astronomy University of Geneva Chemin Pegasi 51 Versoix1290 Switzerland Camino bajo del Castillo s/n Urbanización Villafranca del Castillo Villanueva de la Cañada Madrid28692 Spain Camino bajo del Castillo s/n Urbanización Villafranca del Castillo Villanueva de la Cañada Madrid28692 Spain Martí

Diffuse interstellar bands (DIBs) are absorption features seen in optical and infrared spectra of stars and extragalactic objects that are probably caused by large and complex molecules in the galactic interstellar medium (ISM). Here we investigate the Galactic distribution and properties of two DIBs identified in almost six million stellar spectra collected by the Gaia Radial Velocity Spectrometer. These measurements constitute a part of the Gaia Focused Product Release to be made public between the Gaia DR3 and DR4 data releases. In order to isolate the DIB signal from the stellar features in each individual spectrum, we identified a set of 160 000 spectra at high Galactic latitudes (|b| ≥ 65◦) covering a range of stellar parameters which we consider to be the DIB-free reference sample. Matching each target spectrum to its closest reference spectra in stellar parameter space allowed us to remove the stellar spectrum empirically, without reference to stellar models, leaving a set of six million ISM spectra. Using the star’s parallax and sky coordinates, we then allocated each ISM spectrum to a voxel (VOlume piXEL) on a contiguous three-dimensional grid with an angular size of 1.8◦ (level 5 HEALPix) and 29 unequally sized distance bins. Identifying the two DIBs at 862.1 nm (λ862.1) and 864.8 nm (λ864.8) in the stacked spectra, we modelled their shapes and report the depth, central wavelength, width, and equivalent width (EW) for each, along with confidence bounds on these measurements. We then explored the properties and distributions of these quantities and compared them with similar measurements from other surveys. Our main results are as follows: (1) the strength and spatial distribution of the DIB λ862.1 are very consistent with what was found in Gaia DR3, but for this work we attained a higher signal-to-noise ratio in the stacked spectra to larger distances, which allowed us to trace DIBs in the outer spiral arm and beyond the Scutum–Centaurus spiral arm;(2) we

关键词： Spatial distribution

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Addendum: Test of lepton universality in beauty-quark decays

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Nature Physics 2023年 1517页

作者： R. Aaij J. S. Butter K. Carvalho Akiba S. Ferreres Sole E. Gabriel R. E. Geertsema L. M. Greeven K. Heijhoff W. Hulsbergen D. Hynds E. Jans S. Klaver P. Koppenburg I. Kostiuk H. S. Kuindersma M. Lucio Martinez V. Lukashenko A. Mauri M. Merk A. Pellegrino C. Sanchez Gras M. Schubiger A. Snoch N. Tuning A. Usachov M. van Beuzekom M. Veronesi C. Abellán Beteta M. Atzeni R. Bernet C. Betancourt Ia. Bezshyiko A. Buonaura D. De Simone V. Denysenko J. Eschle M. Ferrillo D. Lancierini O. Lantwin A. Mathad K. Müller P. Owen N. Serra R. Silva Coutinho O. Steinkamp Z. Wang T. Ackernley T. J. V. Bowcock G. Casse A. J. Chadwick C. A. Chavez Barajas K. Dreimanis S. Farry V. Franco Lima T. Halewood-leagas J. P. Hammerich T. Harrison K. Hennessy D. Hutchcroft P. J. Marshall J. V. Mead K. Rinnert E. Rodrigues T. Shears K. A. Thomson E. Vilella Figueras H. M. Wark L. E. Yeomans B. Adeva P. Baladron Rodriguez O. Boente Garcia A. Brea Rodriguez A. Casais Vidal V. Chobanova X. Cid Vidal J. Dalseno L. Dieste Maronas A. Fernandez Prieto A. Gallas Torreira B. Garcia Plana A. Gioventù J. Lomba Castro D. Martinez Santos C. J. Parkinson M. Plo Casasus C. Prouve M. Romero Lamas A. Romero Vidal J. J. Saborido Silva C. Santamarina Rios S. Sellam R. Vazquez Gomez P. Vazquez Regueiro M. Adinolfi S. Bhasin P. Camargo Magalhaes M. G. Chapman R. Lane S. Maddrell-Mander L. R. Madhan Mohan A. M. Marshall P. Naik D. P. O’Hanlon K. Petridis G. J. Pomery J. H. Rademacker J. J. Velthuis R. Wang B. D. C. Westhenry M. Whitehead H. Afsharnia Z. Ajaltouni E. Cogneras O. Deschamps R. Lefèvre J. Maratas S. Monteil P. Perret D. Popov H. Sazak L. Soares Lavra V. Tisserand C. A. Aidala D. S. Fitzgerald S. H. Lee K. R. Mattioli C. Nunez J. D. Roth D. M. Shangase S. Aiola J. Fu P. Gandini L. Henry D. Marangotto A. Merli N. Neri M. Petruzzo E. Spadaro Norella S. Akar P. Ilten B. Meadows C. Pappenheimer M. D. Sokoloff M. Stahl D. Vieira J. Albrecht A. Battig M. Becker M. S. Bieker J. A. Boelhauve L. Calefice E. Dall’Occo H.-P. Dembinski Q. Fuehring L. L. Gerken K. H Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Institute for Nuclear Research of the National Academy of Sciences (KINR) Kyiv Ukraine Nikhef National Institute for Subatomic Physics and VU University Amsterdam Amsterdam Netherlands Universiteit Maastricht Maastricht Netherlands European Organization for Nuclear Research (CERN) Geneva Switzerland Physik-Institut Universität Zürich Zürich Switzerland National University of Science and Technology ‘MISIS’ Moscow Russia Center for High Energy Physics Tsinghua University Beijing China Oliver Lodge Laboratory University of Liverpool Liverpool UK Instituto Galego de Física de Altas Enerxías (IGFAE) Universidade de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol UK Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand MI France MSU–Iligan Institute of Technology (MSU-IIT) Iligan Philippines University of Michigan Ann Arbor USA INFN Sezione di Milano Milano Italy Instituto de Fisica Corpuscular Centro Mixto Universidad de Valencia - CSIC Valencia Spain Università degli Studi di Milano Milano Italy University of Cincinnati Cincinnati OH USA Fakultät Physik Technische Universität Dortmund Dortmund Germany LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France Petersburg Nuclear Physics Institute NRC Kurchatov Institute (PNPI NRC KI) Gatchina Russia School of Physics and Astronomy University of Edinburgh Edinburgh UK INFN Sezione di Ferrara Ferrara Italy Università di Cagliari Cagliari Italy Università di Milano Bicocca Milano Italy INFN Sezione di Cagliari Monserrato Italy School of Physics and Astronomy University of Glasgow Glasgow UK Department of Physics and Astronomy Uppsala University Uppsala Sweden ICCUB Universitat de Barcelona Barcelona Spain DS4DS La Salle Universitat Ramon Llull Barcelona Spain Department of Physics and Astronomy University of Manchester Manchest

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