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Erratum to: Search for supersymmetry in final states with two same-sign or three leptons and jets using 36 fb−1 of = 13 TeV pp collision data with the ATLAS detector

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Journal of High Energy Physics 2019年第8期2019卷 1-19页

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Afik, Y. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Alberghi, G. L. Albert, J. Albicocco, P. Alconada Verzini, M. J. Alderweireldt, S. C. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimonti, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A. V. Anjos, N. Annovi, A. Antel, C. Antonelli, M. Antonov, A. Antrim, D. J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Araujo Ferraz, V. Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baas, A. E. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisits, M-S Barkeloo, J. T. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessy, Z Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman U.S.A. Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz U.S.A. Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene U.S.A. Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb U.S.A. Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas – LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos Universidad de Granada Granada Portugal Department of Physics Boston University Boston U.S.A. Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Roma Italy Dip

One correction is made to the figure 4e of the paper.

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Damage Detection in Laminated Composite Plates Using Modal Strain Energy and Improved Differential Evolution Algorithm

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Procedia engineering 2016年 142卷 182-189页

作者： Trung Vo-Duy Vinh Ho-Huu Hau Dang-Trung Du Dinh-Cong Trung Nguyen-Thoi Division of Computational Mathematics and Engineering (CME) Institute for computational Science (INCOS) Ton Duc Thang University700000 Vietnam Faculty of Civil Engineering Ton Duc Thang University 700000 Vietnam Ho Chi Minh City University of Techology 700000 Vietnam Faculty of Civil Engineering Ho Chi Minh City University of Technology (HUTECH) 700000 Vietnam

In this paper, a model strain energy based method and an improved differential evolution algorithm are used to locate and quantify damage on the laminated composite plate. Firstly, the modal strain energy based method is employed to identify a set of potential damaged elements. Then the improved differential evolution algorithm is utilized to minimize a mode shape error with the damage variables to indicate the extent of elements defined in the previous task. The numerical examples carry out a three-layer square laminated composite plate with two damaged elements. In addition, the effect of noise on the accuracy of damage localization is also investigated.

关键词： damage identification laminated composite plate improved differential evolution algorithm optimization

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An emergent space for distributed data with hidden internal order through manifold learning

arXiv

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arXiv 2017年

作者： Kemeth, Felix P. Haugland, Sindre W. Dietrich, Felix Bertalan, Tom Höhlein, Kevin Li, Qianxiao Bollt, Erik M. Talmon, Ronen Krischer, Katharina Kevrekidis, Ioannis G. Physik-Department Nonequilibrium Chemical Physics Technische Universität München James-Franck-Str. 1 GarchingD-85748 Germany Institute for Advanced Study Technische Universität München Lichtenbergstr. 2a GarchingD-85748 Germany Department of Chemical and Biological Engineering Princeton University PrincetonNJ08544 United States Department of Chemical and Biomolecular Engineering Department of Applied Mathematics and Statistics Johns Hopkins University JHMI Department of Mechanical Engineering MIT CambridgeMA02139 United States Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis North Singapore138632 Singapore Department of Mathematics Department of Electrical and Computer Engineering Clarkson Center for Complex Systems Science Clarkson University PotsdamNY13699-5815 United States Department of Electrical Engineering Technion Israel Institute of Technology Technion City Haifa32000 Israel

Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations;these are, in turn, useful in nonlinear model identification tasks. We focus here on the case of time series data that can ultimately be modelled as a spatially distributed system (e.g. a partial differential equation, PDE), but where we do not know the space in which this PDE should be formulated. Hence, even the spatial coordinates for the distributed system themselves need to be identified - to "emerge from"- the data mining process. We will first validate this "emergent space" reconstruction for time series sampled without space labels in known PDEs;this brings up the issue of observability of physical space from temporal observation data, and the transition from spatially resolved to lumped (order-parameter-based) representations by tuning the scale of the data mining kernels. We will then present actual emergent space "discovery" illustrations. Our illustrative examples include chimera states (states of coexisting coherent and incoherent dynamics), and chaotic as well as quasiperiodic spatiotemporal dynamics, arising in partial differential equations and/or in heterogeneous networks. We also discuss how datadriven "spatial" coordinates can be extracted in ways invariant to the nature of the measuring instrument. Such gauge-invariant data mining can go beyond the fusion of heterogeneous observations of the same system, to the possible matching of apparently different systems. For an older version of this article, including other examples, see https://***/abs/1708.05406. Copyright © 2017, The Authors. All rights reserved.

关键词： Data mining

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Inner-shell electron effects in strong-field double ionization of Xe

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Physical Review A 2016年第6期93卷 063409-063409页

作者： Zongqiang Yuan Difa Ye Jie Liu Libin Fu Science and Technology on Plasma Physics Laboratory Research Center of Laser Fusion China Academy of Engineering Physics Mianyang 621900 China National Key Laboratory of Science and Technology on Computational Physics Institute of Applied Physics and Computational Mathematics Beijing 100088 China CAPT HEDPS and IFSA Collaborative Innovation Center of MoE Peking University Beijing 100871 China Center for Fusion Energy Science and Technology China Academy of Engineering Physics Beijing 100088 China

We investigate theoretically the inner-shell electron effects in strong-field double ionization of Xe by a comparative study with two different three-dimensional semiclassical models, i.e., the widely used helium-like model and an improved Green–Sellin–Zachor (GSZ) model. The enhanced double-ionization signals through sequential ionization and recollision-induced excitation with subsequent field ionization are identified as two origins of the nonstructured pattern in the correlated electron momentum spectrum observed in a recent experiment [Phys. Rev. Lett. 113, 103001 (2014)]. The relationship between these enhancements and the inner-shell electrons is revealed by back analysis of the classical trajectories.

关键词： Multiphoton or tunneling ionization & excitation Semiclassical methods

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Skewness and kurtosis of net baryon-number distributions at small values of the baryon chemical potential

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Physical Review D 2017年第7期96卷 074510-074510页

作者： A. Bazavov H.-T. Ding P. Hegde O. Kaczmarek F. Karsch E. Laermann Swagato Mukherjee H. Ohno P. Petreczky E. Rinaldi H. Sandmeyer C. Schmidt Chris Schroeder S. Sharma W. Soeldner R. A. Soltz P. Steinbrecher P. M. Vranas Department of Computational Mathematics Science and Engineering and Department of Physics and Astronomy Michigan State University East Lansing Michigan 48824 USA Key Laboratory of Quark & Lepton Physics (MOE) and Institute of Particle Physics Central China Normal University Wuhan 430079 China Center for High Energy Physics Indian Institute of Science Bangalore 560012 India Fakultät für Physik Universität Bielefeld D-33615 Bielefeld Germany Physics Department Brookhaven National Laboratory Upton New York 11973 USA Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki 305-8577 Japan RIKEN-BNL Research Center Brookhaven National Laboratory Upton New York 11973 USA Physics Division Lawrence Livermore National Laboratory Livermore California 94550 USA Institut für Theoretische Physik Universität Regensburg D-93040 Regensburg Germany

We present results for the ratios of mean (MB), variance (σB2), skewness (SB) and kurtosis (κB) of net baryon-number fluctuations obtained in lattice QCD calculations with physical values of light and strange quark masses. Using next-to-leading order Taylor expansions in baryon chemical potential we find that qualitative features of these ratios closely resemble the corresponding experimentally measured cumulant ratios of net proton-number fluctuations for beam energies down to sNN≥19.6 GeV. We show that the difference in cumulant ratios for the mean net baryon-number, MB/σB2=χ1B(T,μB)/χ2B(T,μB), and the normalized skewness, SBσB=χ3B(T,μB)/χ2B(T,μB), naturally arises in QCD thermodynamics. Moreover, we establish a close relation between skewness and kurtosis ratios, SBσB3/MB=χ3B(T,μB)/χ1B(T,μB) and κBσB2=χ4B(T,μB)/χ2B(T,μB), valid at small values of the baryon chemical potential.

关键词： Gauge theories Lattice field theory Quantum chromodynamics Quark-gluon plasma Strong interaction

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Batched Generation of Incomplete Sparse Approximate Inverses on GPUs

Batched Generation of Incomplete Sparse Approximate Inverses...

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Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA)

作者： Hartwig Anzt Edmond Chow Thomas Huckle Jack Dongarra Innovative Computing Laboratory University of Tennessee School of Computational Science and Engineering Georgia Institute of Technology Department of Informatics Technical University Munich University of Manchester Oak Ridge National Laboratory

ISBN: (纸本)9781509052233

Incomplete Sparse Approximate Inverses (ISAI) have recently been shown to be an attractive alternative to exact sparse triangular solves in the context of incomplete factorization preconditioning. In this paper we propose a batched GPU-kernel for the efficient generation of ISAI matrices. Utilizing only thread-local memory allows for computing the ISAI matrix with very small memory footprint. We demonstrate that this strategy is faster than the existing strategy for generating ISAI matrices, and use a large number of test matrices to assess the algorithm's efficiency in an iterative solver setting.

关键词： Sparse matrices Kernel Instruction sets Linear systems Jacobian matrices Approximation algorithms Context

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Exploring the cooperative game nature of a two-agent scheduling problem

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International Journal of Simulation: Systems, science and Technology 2016年第27期17卷 18.1-18.7页

作者： Zhao, Bing Gu, Yanhong Ruan, Yuan Chen, Quanle Intelligent Computational Science Institute College of Mathematics and Statistics Shenzhen University ShenzhenGuangdong518060 China College of Computer Science & Software Engineering Shenzhen University ShenzhenGuangdong518060 China The Logistics Institute-Asia Pacific National University of Singapore 117574 Singapore

The multi-party (multi-agent) scheduling problems have received increasing attention for about ten years. Most of the research only focuses on the scheduling aspect while a distinct cooperative game model is originally constructed for a two-party setting in this literature. This game model is established to highlight the reasonable (cooperative) profit sharing, although the current multi-agent scheduling research interest lies in the balancing cost allocation. The two parties, each having his own set of jobs, cooperatively reserve a processing time slot offered from a single (third-party) processing resource and perform their own jobs together on that resource. All the jobs of these two parties have a common processing time. Each of those jobs is uninterruptable and available at the beginning of the time slot. One cooperation profit function is proposed for each party to evaluate various profit sharing schemes. The function consists of three terms and is defined as the first term minus the other two. Term one is the gross profit relying on the number of the party’s jobs, term two is the total completion time of his jobs determined by the (processing) sequence of both parties’ jobs, i.e., global sequence, and term three is his opportunity cost. It means the function still and only depends on the global sequence after each party’s job number is given. Two approaches based on cooperative games are designed to yield the final profit sharing scheme (solution) accepted to each party, the related algorithms are developed, and the analysis of computational complexity is presented. Besides the abovementioned contributions, the literature also mentions a situation accruing non-cooperation, where two successive time slots are independently and serially reserved by two parties. © 2016, UK Simulation Society. All rights reserved.

关键词： Multi agent systems

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Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

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Journal of medical Internet research 2021年第11期23卷 e34625页

作者： Griffin M Weber Harrison G Zhang Sehi L'Yi Clara-Lea Bonzel Chuan Hong Paul Avillach Alba Gutiérrez-Sacristán Nathan P Palmer Amelia Li Min Tan Xuan Wang William Yuan Nils Gehlenborg Anna Alloni Danilo F Amendola Antonio Bellasi Riccardo Bellazzi Michele Beraghi Mauro Bucalo Luca Chiovato Kelly Cho Arianna Dagliati Hossein Estiri Robert W Follett Noelia García Barrio David A Hanauer Darren W Henderson Yuk-Lam Ho John H Holmes Meghan R Hutch Ramakanth Kavuluru Katie Kirchoff Jeffrey G Klann Ashok K Krishnamurthy Trang T Le Molei Liu Ne Hooi Will Loh Sara Lozano-Zahonero Yuan Luo Sarah Maidlow Adeline Makoudjou Alberto Malovini Marcelo Roberto Martins Bertrand Moal Michele Morris Danielle L Mowery Shawn N Murphy Antoine Neuraz Kee Yuan Ngiam Marina P Okoshi Gilbert S Omenn Lav P Patel Miguel Pedrera Jiménez Robson A Prudente Malarkodi Jebathilagam Samayamuthu Fernando J Sanz Vidorreta Emily R Schriver Petra Schubert Pablo Serrano Balazote Byorn Wl Tan Suzana E Tanni Valentina Tibollo Shyam Visweswaran Kavishwar B Wagholikar Zongqi Xia Daniela Zöller Isaac S Kohane Tianxi Cai Andrew M South Gabriel A Brat Department of Biomedical Informatics Harvard Medical School Boston MA United States. BIOMERIS (BIOMedical Research Informatics Solutions) Pavia Italy. Clinical Research Unit Botucatu Medical School São Paulo State University Botucatu Brazil. Division of Nephrology Department of Medicine Ente Ospedaliero Cantonale Lugano Switzerland. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy. Information Technology Department Azienda Socio-Sanitaria Territoriale di Pavia Pavia Italy. Unit of Internal Medicine and Endocrinology Istituti Clinici Scientifici Maugeri SpA SB IRCCS Pavia Italy. Massachusetts Veterans Epidemiology Research and Information Center Veterans Affairs Boston Healthcare System Boston MA United States. Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy. Department of Medicine Massachusetts General Hospital Boston MA United States. Department of Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles CA United States. Health Informatics Hospital Universitario 12 de Octubre Madrid Spain. Department of Learning Health Sciences University of Michigan Medical School Ann Arbor MI United States. Department of Biomedical Informatics University of Kentucky Lexington KY United States. Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA United States. Institute for Biomedical Informatics University of Pennsylvania Perelman School of Medicine Philadelphia PA United States. Department of Preventive Medicine Northwestern University Chicago IL United States. Institute for Biomedical Informatics University of Kentucky Lexington KY United States. Medical University of South Carolina Charleston SC United States. Department of Computer Science Renaissance Computing Institute University of North Carolina at Chapel Hill Chapel Hill NC United States. Departm

[This corrects the article DOI: 10.2196/31400.].

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Plane strain bending under tension of a functionally graded sheet at large strains as an ideal flow process

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Journal of Physics: Conference Series 2017年第1期885卷

作者： Sergei Alexandrov Alexander Pirumov Division of Computational Mathematics and Engineering Institute for Computational Science Ton Duc Thang University Ho Chi Minh City Vietnam Faculty of Civil Engineering Ton Duc Thang University Ho Chi Minh City Vietnam Department of Elektrotechnics and Mechanics Moscow Technological University Moscow Russia

Ideal plastic deformations (ideal flows) have been defined as solenoidal smooth deformations in which an eigenvector field associated everywhere with the greatest (major) principal rate of deformation is fixed in the material. In the case of plane strain deformation of rigid perfectly plastic material obeying an arbitrary isotropic yield criterion and its associated flow rule, it is always possible to find an equilibrium stress field which is compatible with an ideal deformation. It is shown in the present paper that an ideal deformation is possible for functionally graded sheets in the process of plane strain bending under tension. In contrast to the general process, the tensile force and bending moment cannot be prescribed arbitrary but should be found from the solution.

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Descendants of the first stars: The distinct chemical signature of second generation stars

arXiv

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arXiv 2018年

作者： Hartwig, Tilman Yoshida, Naoki Magg, Mattis Frebel, Anna Glover, Simon C.O. Gomez, Facundo A. Griffen, Brendan Ishigaki, Miho N. Ji, Alexander P. Klessen, Ralf S. O'Shea, Brian W. Tominaga, Nozomu Department of Physics School of Science University of Tokyo Bunkyo Tokyo113-0033 Japan University of Tokyo Kashiwa Chiba277-8583 Japan Sorbonne Universites UPMC Univ Paris 06 UMR 7095 Institut d'Astrophysique de Paris Paris75014 France CNRS UMR 7095 Institut d'Astrophysique de Paris Paris75014 France Universitat Heidelberg Zentrum fur Astronomie ITA Albert-Ueberle-Strabe 2 Heidelberg69120 Germany Department of Physics Kavli Institute for Astrophysics and Space Research MIT CambridgeMA02139 United States Instituto de Investigacion Multidisciplinar en Ciencia y Tecnoloa Universidad de La Serena Raul Bitran 1305 La Serena Chile Departamento de Fisica y Astronomia Universidad de La Serena Av. Juan Cisternas 1200 N La Serena Chile Observatories of the Carnegie Institution of Washington 813 Santa Barbara St. PasadenaCA91101 United States Universitat Heidelberg Interdisziplinares Zentrum fur Wissenschaftliches Rechnen INF 205 Heidelberg69120 Germany Department of Computational Mathematics Science and Engineering Michigan State University MI48823 United States Department of Physics and Astronomy Michigan State University MI48823 United States National Superconducting Cyclotron Laboratory Michigan State University MI48823 United States Joint Institute for Nuclear Astrophysics Center for the Evolution of the Elements United States Department of Physics Faculty of Science and Engineering Konan University 8-9-1 Okamoto Kobe Hyogo658-8501 Japan Hubble Fellow

Extremely metal-poor (EMP) stars in the Milky Way (MW) allow us to infer the properties of their progenitors by comparing their chemical composition to the metal yields of the first supernovae. This method is most powerful when applied to mono-enriched stars, i.e. stars that formed from gas that was enriched by only one previous supernova. We present a novel diagnostic to identify this subclass of EMP stars. We model the first generations of star formation semi-analytically, based on dark matter halo merger trees that yield MW-like halos at the present day. Radiative and chemical feedback are included self-consistently and we trace all elements up to zinc. Mono-enriched stars account for only ∼ 1% of second generation stars in our fiducial model and we provide an analytical formula for this probability. We also present a novel analytical diagnostic to identify mono-enriched stars, based on the metal yields of the first supernovae. This new diagnostic allows us to derive our main results indepen-dently from the specific assumptions made regarding Pop III star formation, and we apply it to a set of observed EMP stars to demonstrate its strengths and limitations. Our results may provide selection criteria for current and future surveys and therefore contribute to a deeper understanding of EMP stars and their progenitors. Copyright © 2018, The Authors. All rights reserved.

关键词： Supernovae

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