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arXiv 2021年

作者： Ahumada, Tomás Singer, Leo P. Anand, Shreya Coughlin, Michael W. Kasliwal, Mansi M. Ryan, Geoffrey Andreoni, Igor Cenko, S. Bradley Fremling, Christoffer Kumar, Harsh Pang, Peter T.H. Burns, Eric Cunningham, Virginia Dichiara, Simone Dietrich, Tim Svinkin, Dmitry S. almualla, Mouza Castro-Tirado, alberto J. De, Kishalay Dunwoody, Rachel Gatkine, Pradip Hammerstein, Erica Iyyani, Shabnam Mangan, Joseph Perley, Dan Purkayastha, Sonalika Bellm, Eric Bhalerao, Varun Bolin, Bryce Bulla, Mattia Cannella, Christopher Chandra, Poonam Duev, Dmitry A. Frederiks, Dmitry Gal-Yam, Avishay Graham, Matthew Ho, Anna Y.Q. Hurley, Kevin Karambelkar, Viraj Kool, Erik C. Kulkarni, S.R. Mahabal, Ashish Masci, Frank McBreen, Sheila Pandey, Shashi B. Reusch, Simeon Ridnaia, Anna Rosnet, Philippe Rusholme, Benjamin Carracedo, Ana Sagués Smith, Roger Soumagnac, Maayane Stein, Robert Troja, Eleonora Tsvetkova, Anastasia Walters, Richard Valeev, Azamat F. Department of Astronomy University of Maryland College ParkMD20742 United States Astrophysics Science Division NASA Goddard Space Flight Center MC 661 GreenbeltMD20771 United States Center for Research and Exploration in Space Science and Technology NASA Goddard Space Flight Center GreenbeltMD20771 United States Joint Space-Science Institute University of Maryland College ParkMD20742 United States Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States Indian Institute of Technology Bombay Powai Mumbai400076 India LSSTC Data Science Fellow Nikhef Science Park 105 Amsterdam1098 XG Netherlands Department of Physics Utrecht University Princetonplein 1 Utrecht3584 CC Netherlands Louisiana State University Baton RougeLA70803 United States Institut für Physik und Astronomie Universität Potsdam Haus 28 Karl-Liebknecht-Str. 24/25 Potsdam14476 Germany Ioffe Institute Polytekhnicheskaya 26 St. Petersburg194021 - Russia American University of Sharjah Physics Department PO Box 26666 Sharjah United Arab Emirates Glorieta de la Astronomía s/n GranadaE-18008 Spain Departamento de Ingeniería de Sistemas y Automática Escuela de Ingenieros Industriales Universidad de Málaga Unidad Asociada al CSIC C. Dr. Ortiz Ramos sn Málaga29071 Spain School of Physics University College Dublin Dublin 4 Ireland Inter-University Centre for Astronomy and Astrophysics Pune411007 India Astrophysics Research Institute Liverpool John Moores University IC2 Liverpool Science Park 146 Brownlow Hill LiverpoolL3 5RF United Kingdom National Centre for Radio Astrophysics Tata Institute of Fundamental Research Pune University Campus Ganeshkhind Pune411 007 India DIRAC Institute Department of Physics and Astronomy University of Washington 3910 15th Avenue NE SeattleWA98195 United States Nordita KTH Royal Institute of

Gamma-ray bursts (GRBs) are among the brightest and most energetic events in the universe. The duration and hardness distribution of GRBs has two clusters1, now understood to reflect (at least) two different progenitors2. Short-hard GRBs (SGRBs;T90 90 >2 s) have been attributed to the collapse of peculiar massive stars (collapsars)3. The discovery of SN 1998bw/GRB 9804254 marked the first association of a LGRB with a collapsar and AT 2017gfo5/GRB 170817A/GW1708176 marked the first association of a SGRB with a binary neutron star merger, producing also gravitational wave (GW). Here, we present the discovery of ZTF20abwysqy (AT2020scz), a fast-fading optical transient in the Fermi Satellite and the InterPlanetary Network (IPN) localization regions of GRB 200826A;X-ray and radio emission further confirm that this is the afterglow. Follow-up imaging (at rest-frame 16.5 days) reveals excess emission above the afterglow that cannot be explained as an underlying kilonova (KN), but is consistent with being the supernova (SN). Despite the GRB duration being short (rest-frame T90 of 0.65 s), our panchromatic follow-up data confirms a collapsar origin. GRB 200826A is the shortest LGRB found with an associated collapsar;it appears to sit on the brink between a successful and a failed collapsar. Our discovery is consistent with the hypothesis that most collapsars fail to produce ultra-relativistic jets. © 2021, CC BY-NC-ND.

关键词： Gamma rays

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Author Correction: RADICL-seq identifies general and cell type-specific principles of genome-wide RNA-chromatin interactions

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Nature communications 2021年第1期12卷 3128页

作者： alessandro Bonetti Federico Agostini Ana Maria Suzuki Kosuke Hashimoto Giovanni Pascarella Juliette Gimenez Leonie Roos alex J Nash Marco Ghilotti Christopher J F Cameron Matthew Valentine Yulia A Medvedeva Shuhei Noguchi Eneritz Agirre Kaori Kashi Joachim Luginbühl Riccardo Cazzoli Saumya Agrawal Nicholas M Luscombe Mathieu Blanchette Takeya Kasukawa Michiel de Hoon Erik Arner Boris Lenhard Charles Plessy Gonçalo Castelo-Branco Valerio Orlando Piero Carninci RIKEN Center for Integrative Medical Sciences Yokohama Kanagawa 230-0045 Japan. alessandro.bonetti@riken.jp. Laboratory of Molecular Neurobiology Department Medical Biochemistry and Biophysics Karolinska Institutet Stockholm Sweden. alessandro.bonetti@riken.jp. The Francis Crick Institute 1 Midland Road London NW1 1AT UK. RIKEN Center for Integrative Medical Sciences Yokohama Kanagawa 230-0045 Japan. Department of Medicine (H7) Karolinska Institutet Stockholm 141 86 Sweden. Epigenetics and Genome Reprogramming Laboratory IRCCS Fondazione Santa Lucia Rome Italy. Faculty of Medicine Imperial College London Institute of Clinical Sciences London W12 0NN UK. MRC London Institute of Medical Sciences London W12 0NN UK. School of Computer Science McGill University Montréal QC Canada. Department of Biochemistry and Goodman Cancer Research Centre McGill University Montréal QC Canada. Institute of Bioengineering Research Centre of Biotechnology Russian Academy of Science 117312 Moscow Russia. Department of Computational Biology Vavilov Institute of General Genetics Russian Academy of Science 119991 Moscow Russia. Department of Biological and Medical Physics Moscow Institute of Physics and Technology 141701 Dolgoprudny Moscow Region Russia. Laboratory of Molecular Neurobiology Department Medical Biochemistry and Biophysics Karolinska Institutet Stockholm Sweden. Department of Experimental Oncology IEO European Institute of Oncology IRCCS Milan Italy. UCL Genetics Institute University College London London WC1E 6BT UK. Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha Onna-son Kunigami-gun Okinawa 904-0495 Japan. Sars International Centre for Marine Molecular Biology University of Bergen 5008 Bergen Norway. Epigenetics and Genome Reprogramming Laboratory IRCCS Fondazione Santa Lucia Rome Italy. valerio.orlando@kaust.edu.sa. KAUST Environmental Epigenetics Program King Abdullah University of Science and Technology (KAUS

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Sketch-based stroke generation in Chinese flower painting

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Science China(Information sciences) 2016年第7期59卷 237-239页

作者： Lijie YANG Tianchen XU Jixiang DU Enhua WU College of Computer Science and Technology Huaqiao University Department of Computer Science and Engineering Hong Kong University of Science and Technology Faculty of Science and Technology University of Macau State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of Sciences

Dear editor,Flower painting,which is one of the major categories of Chinese painting,represents the key artistic characteristics of oriental *** other words,its typical usages of stroke and ink color contribute to the unique appeal of Chinese painting,since the strokes may be straight or curved,hard or soft,thick or thin,pale or dark,and the ink colors may be dry or running,blending or ***,the complexity and variety of

关键词： In Sketch-based stroke generation in Chinese flower painting real work

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Joint product numerical range and geometry of reduced density matrices

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Science China(Physics,Mechanics & Astronomy) 2017年第2期60卷 9-17页

作者： Jianxin Chen Cheng Guo Zhengfeng Ji Yiu-Tung Poon Nengkun YU Bei Zeng Jie Zhou Joint Center for Quantum Information and Computer Science University of Maryland College Park 20740 USA Institute for Advanced Study Tsinghua University Beijing 100084 China Centre for Quantum Computation ＆ Intelligent Systems School of Software Faculty of Engineering and Information Technology University of Technology Sydney Sydney 2007 Australia State Key Laboratory of Computer Science.Institute of Software Chinese Academy of Sciences Beijing 100084 China Department of Mathematics Iowa State University Ames 50011-2140 USA Institute for Quantum Computing University of Waterloo Waterloo N2L 3G1 Canada Department of Mathematics ＆ Statistics University of Guelph Guelph N1G 2 W1 Canada Perimeter Institute for Theoretical Physics Waterloo N2L 2Y5 Canada

The reduced density matrices of a many-body quantum system form a convex set, whose three-dimensional projection is convex in R3. The boundary of may exhibit nontrivial geometry, in particular ruled surfaces. Two physical mechanisms are known for the origins of ruled surfaces： symmetry breaking and gapless. In this work, we study the emergence of ruled surfaces for systems with local Hamiltonians in infinite spatial dimension, where the reduced density matrices are known to be separable as a consequence of the quantum de Finetti＇s theorem. This allows us to identify the reduced density matrix geometry with joint product numerical range II of the Hamiltonian interaction terms. We focus on the case where the interaction terms have certain structures, such that a ruled surface emerges naturally when taking a convex hull of ∏. We show that, a ruled surface on sitting in ∏ has a gapless origin, otherwise it has a symmetry breaking origin. As an example, we demonstrate that a famous ruled surface, known as the oloid, is a possible shape of , with two boundary pieces of symmetry breaking origin separated by two gapless lines.

关键词： reduced density matrices quantum tomography numerical range quantum information oloid ruled surface

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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif alan C Seifert alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Gamma/hadron discrimination using a small-WCD with four PMTs 37

Gamma/hadron discrimination using a small-WCD with four PMTs

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37th International Cosmic Ray Conference, ICRC 2021

作者： Conceição, R. Assis, P. Assunção, F. Bakalová, A. Barres de almeida, U. Bom, C.R. Correia, J. De Angelis, A. Dias, L. González, B.S. Guillén, A. La Mura, G. Lourenço, N. Machado, P. Marques, S. Mendes, L. Pimenta, M. Shellard, R. Tomé, B. Vicha, J. Abreu, P. albert, A. Angüner, E.O. Arcaro, C. Arnaldi, L.H. Arteaga-Velázquez, J.C. Batković, I. Bellido, J. Belmont-Moreno, E. Bisconti, F. Blanco, A. Bohacova, M. Bottacini, E. Bretz, T. Brisbois, C. Brogueira, P. Brown, A.M. Bulik, T. Caballero Mora, K.S. Campos, S.M. Chiavassa, A. Chytka, L. Consolati, G. Cotzomi Paleta, J. Dasso, S. De Bom, C.R. de la Fuente, E. de Souza, V. Depaoli, D. Di Sciascio, G. Dib, C.O. Dorner, D. Doro, M. Du Vernois, M. Ergin, T. Fan, K.L. Fraija, N. Funk, S. García, J.I. García-González, J.A. García Roca, S.T. Giacinti, G. Goksu, H. Guarino, F. Haist, F. Hansen, P.M. Harding, J.P. Hinton, J. Hofmann, W. Hona, B. Hoyos, D. Huentemeyer, P. Hueyotl-Zahuantitla, F. Insolia, A. Janecek, P. Joshi, V. Khelifi, B. Kunwar, S. Lapington, J. Laspiur, M.R. Leitl, F. Longo, F. Lopes, L. Lopez-Coto, R. Mandat, D. Mariazzi, A.G. Mariotti, M. Marques Moraes, A. Martínez-Castro, J. Martínez-Huerta, H. May, S. Melo, D.G. Mendes, L.F. Mendes, L.M. Mineeva, T. Mitchell, A. Mohan, S. Morales Olivares, O.G. Moreno-Barbosa, E. Nellen, L. Novotny, V. Olivera-Nieto, L. Orlando, E. Pech, M. Pichel, A. Portes de albuquerque, M. Prandini, E. Rado Cuchills, M.S. Reisenegger, A. Reville, B. Rho, C.D. Rovero, A.C. Ruiz-Velasco, E. Salazar, G.A. Sandoval, A. Santander, M. Schoorlemmer, H. Schüssler, F. Serrano, V.H. Shellard, R.C. Sinha, A. Smith, A.J. Surajbali, P. Torres Aguilar, I. van Eldik, C. Vergara-Quispe, I.D. Viana, A. Vigorito, C.F. Wang, X. Werner, F. White, R. Zamalloa Jara, M.A. LIP - Laboratório de Instrumentação e Física Experimental de Partículas Lisbon Portugal IST - Instituto Superior Técnico Lisboa Portugal Department of Informatics Engineering CISUC University of Coimbra Coimbra Portugal Institute of Physics of the Czech Academy of Sciences Prague Czech Republic CBPF - Centro Brasileiro de Pesquisas Físicas Rio de Janeiro Brazil INFN Università di Padova Italy Computer Architecture and Technology Department University of Granada Granada Spain Av. Prof. Gama Pinto 2 Lisboa1649-003 Portugal Physics Division Los Alamos National Laboratory P.O. Box 1663 Los AlamosNM87545 United States Aix Marseille Univ CNRS IN2P3 CPPM 163 avenue de Luminy - Case 902 Marseillecedex 09 13288 France University of Padova Department of Physics and Astronomy INFN Padova Via Marzolo 8 Padova35131 Italy Centro Atómico Bariloche Comisión Nacional de Energía Atómica RN S. C. de Bariloche8400 Argentina Universidad Michoacana de San Nicolás de Hidalgo Calle de Santiago Tapia 403 Centro Mich. Morelia58000 Mexico FZU Institute of Physics of the Czech Academy of Sciences Na Slovance 1999/2 Praha 8182 00 Czech Republic Centro Brasileiro de Pesquisas Físicas R. Dr. Xavier Sigaud 150 RJ Rio de Janeiro22290-180 Brazil Av. de la Cultura 733 Pabellón CuscoC-358 Peru Instituto de Física Universidad Nacional Autónoma de México Sendero Bicipuma C.U. Coyoacán CDMX Ciudad de México04510 Mexico Dipartimento di Fisica Università degli Studi di Torino Via Pietro Giuria 1 Torino10125 Italy RWTH Aachen University Physics Institute 3 Otto-Blumenthal-Straße Aachen52074 Germany University of Maryland College ParkMD20742 United States Durham University Stockton Road DurhamDH1 3LE United Kingdom Astronomical Observatory University of Warsaw Aleje Ujazdowskie 4 Warsaw00478 Poland Facultad de Ciencias en Física y Matemáticas UNACH Boulevard Belisario Domínguez Km. 1081 Sin Número Terán Chiapas Tuxtla Gutiérrez Mexico Facultad de

The Southern Wide-field Gamma-ray Observatory (SWGO) is the next-generation gamma-ray observatory, currently in an R&D phase. The experiment is expected to have a large array of water Cherenkov detectors (WCD) placed at a high elevation (> 4.4 km a.s.l.) in South America. Here we present a WCD concept with reduced surface area and height of stations comprising four PMTs at the bottom. We show that it is possible to reach an excellent gamma/hadron discrimination by analysing the data gathered by this station with machine learning techniques. Such performance can be achieved by analysing the shower patterns at the ground or through the PMTs signal time structure to tag muons. Moreover, it is shown that the station's performance does not depend on the array configuration (dense or sparse) nor on the shower inclination (θ◦). Such a concept reduces the cost associated with the transport of massive amounts of water to high elevation sites while keeping a high physics performance. Therefore, it could be a good candidate station for SWGO, enabling to reach good sensitivities from low energies (∼ 100 GeV) up to the PeV region, covering large ground surface areas (few square km). © 2022 Sissa Medialab Srl. all rights reserved.

关键词： Observatories

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Measurement of the top quark mass with the ATLAS detector using tt¯ events with a high transverse momentum top quark

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 867卷

作者： Aad, G. Aakvaag, E. Abbott, B. Abdelhameed, S. Abeling, K. Abicht, N.J. Abidi, S.H. Aboelela, M. Aboulhorma, A. Abramowicz, H. Abulaiti, Y. Acharya, B.S. Ackermann, A. Adam Bourdarios, C. Adamczyk, L. Addepalli, S.V. Addison, M.J. Adelman, J. Adiguzel, A. Adye, T. Affolder, A.A. Afik, Y. Agaras, M.N. Aggarwal, A. Agheorghiesei, C. Ahmadov, F. Ahuja, S. Ai, X. Aielli, G. Aikot, A. Ait Tamlihat, M. Aitbenchikh, B. Akbiyik, M. Åkesson, T.P.A. Akimov, A.V. Akiyama, D. Akolkar, N.N. Aktas, S. alberghi, G.L. albert, J. albicocco, P. albouy, G.L. alderweireldt, S. alegria, Z.L. aleksa, M. aleksandrov, I.N. alexa, C. alexopoulos, T. alfonsi, F. algren, M. alhroob, M. ali, B. ali, H.M.J. ali, S. alibocus, S.W. aliev, M. alimonti, G. alkakhi, W. allaire, C. allbrooke, B.M.M. allen, J.S. allen, J.F. allport, P.P. aloisio, A. alonso, F. alpigiani, C. alsolami, Z.M.K. alvarez Fernandez, A. alves Cardoso, M. alviggi, M.G. aly, M. Amaral Coutinho, Y. Ambler, A. Amelung, C. Amerl, M. Ames, C.G. Amidei, D. Amini, B. Amirie, K. Amirkhanov, A. Amor Dos Santos, S.P. Amos, K.R. Amperiadou, D. An, S. Ananiev, V. Anastopoulos, C. Andeen, T. Anders, J.K. Anderson, A.C. Andreazza, A. Angelidakis, S. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Antipov, E. Antonelli, M. Anulli, F. Aoki, M. Aoki, T. Aparo, M.A. Aperio Bella, L. Appelt, C. Apyan, A. Arbiol Val, S.J. Arcangeletti, C. Arce, A.T.H. Arguin, J.-F. Argyropoulos, S. Arling, J.-H. Arnaez, O. Arnold, H. Artoni, G. Asada, H. Asai, K. Asai, S. Asbah, N.A. Ashby Pickering, R.A. Aslam, A.M. Assamagan, K. Astalos, R. Astrand, K.S.V. Atashi, S. Atkin, R.J. Atmani, H. Atmasiddha, P.A. Augsten, K. Auriol, A.D. Austrup, V.A. Avolio, G. Axiotis, K. Azuelos, G. Babal, D. Bachacou, H. Bachas, K. Bachiu, A. Bachmann, E. Backes, M.J. Badea, A. Baer, T.M. Bagnaia, P. Bahmani, M. Bahner, D. Bai, K. Baines, J.T. Baines, L. Baker, O.K. Bakos, E. Bakshi Gupta, D. Balabram Filho, L.E. Balakrishnan, V. Balasubramanian, R. Baldin, E.M. Balek, P. Ballabene, E. Balli, F. Baltes, L.M. Balunas, W.K. Bal CPPM Aix-Marseille Université CNRS/IN2P3 Marseille France Department for Physics and Technology University of Bergen Bergen Norway Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK United States New York University Abu Dhabi Abu Dhabi United Arab Emirates II. Physikalisches Institut Georg-August-Universität Göttingen Göttingen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Physics Department Brookhaven National Laboratory Upton NY United States Physics Department Southern Methodist University Dallas TX United States Faculté des sciences Université Mohammed V Rabat Morocco Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics New York University New York NY United States INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Kirchhoff-Institut für Physik Ruprecht-Karls-Universität Heidelberg Heidelberg Germany LAPP Université Savoie Mont Blanc CNRS/IN2P3 Annecy France AGH University of Krakow Faculty of Physics and Applied Computer Science Krakow Poland SLAC National Accelerator Laboratory Stanford CA United States School of Physics and Astronomy University of Manchester Manchester United Kingdom Department of Physics Northern Illinois University DeKalb IL United States Department of Physics Istanbul University Istanbul Turkey Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA United States Enrico Fermi Institute University of Chicago Chicago IL United States Institut de Física d'Altes Energies (IFAE) Barcelona Institute of Science and Technology Barcelona Spain Institut für Physik Universität Mainz Mainz Germany Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Affiliated with an international laboratory covered by a cooperation agreement

The mass of the top quark is measured using top-quark-top-antiquark pair events with high transverse momentum top quarks. The dataset, collected with the ATLAS detector in proton–proton collisions at s=13 TeV delivered by the Large Hadron Collider, corresponds to an integrated luminosity of 140 fb−1. The analysis targets events in the lepton-plus-jets decay channel, with an electron or muon from a semi-leptonically decaying top quark and a hadronically decaying top quark that is sufficiently energetic to be reconstructed as a single large-radius jet. The mean of the invariant mass of the reconstructed large-radius jet provides the sensitivity to the top quark mass and is simultaneously fitted with two additional observables to reduce the impact of the systematic uncertainties. The top quark mass is measured to be mt=172.95±0.53 GeV, which is the most precise ATLAS measurement from a single channel. © 2025 CERN for the benefit of the ATLAS Collaboration

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2018年 673卷 v-vi页

作者： Bhalla, Subhash Bhateja, Vikrant Chandavale, Anjali A. Hiwale, Anil S. Satapathy, Suresh Chandra Department of Computer Software University of Aizu AizuwakamatsuFukushima Japan Department of Electronics and Communication Engineering Shri Ramswaroop Memorial Group of Professional Colleges LucknowUttar Pradesh India Department of Information Technology MIT College of Engineering PuneMaharashtra India Department of Computer Science and Engineering Anil Neerukonda Institute of Technology and Sciences VisakhapatnamAndhra Pradesh India

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Diversified top-κ partial MaxSAT solving

arXiv

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arXiv 2017年

作者： Zhou, Junping Sun, Huanyao Ma, Feifei Gao, Jian Xu, Ke Yin, Minghao College of Computer Science and Information Technology Northeast Normal University Changchun130117 China Institute of Software Chinese Academy of Sciences Beijing100080 China Department of Computer Science and Engineering Beijing University of Aeronautics and Astronautics Beijing100083

We introduce a diversified top-k partial MaxSAT problem, a combination of partial MaxSAT problem and enumeration problem. Given a partial MaxSAT formula F and a positive integer k, the diversified top-k partial MaxSAT is to find k maximal solutions for F such that the k maximal solutions satisfy the maximum number of soft clauses of F. This problem can be widely used in many applications including community detection, sensor place, motif discovery, and combinatorial testing. We propose an approach for solving the problem. The concrete idea of the approach is to design an encoding EE which reduces diversified top-k partial MaxSAT problem into partial MaxSAT problem, and then solve the resulting problem with state-of-art solvers. In addition, we present an algorithm MEMKC exactly solving the diversified top-k partial MaxSAT. Through several experiments we show that our approach can be successfully applied to the interesting problem. Copyright © 2017, The Authors. all rights reserved.

关键词： Machine learning

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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