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Measurement of the Z→ττ cross section with the ATLAS detector

Physical Review D 2011年第11期84卷 112006-112006页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov A. Akiyama M. S. Alam M. A. Alam J. Albert S. Albrand M. Aleksa I. N. Aleksandrov F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos N. Andari T. Andeen C. F. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin G. Avolio R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes M. Backhaus E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker M. D. Baker S. Baker F. Baltasar Dos Santos Pedrosa E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch V. Bartsch R. L. Bates L. Batkova J. R. Bat Fakultät für Mathematik und Physik Albert-Ludwigs-Universität Freiburg i.Br. Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institut de Física d’Altes Energies and Universitat Autònoma de Barcelona and ICREA Barcelona Spain Section de Physique Université de Genève Geneva Switzerland Department of Physics Oxford University Oxford United Kingdom Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel LAL University Paris-Sud and CNRS/IN2P3 Orsay France INFN Sezione di Milano Italy Dipartimento di Fisica Università di Milano Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Trieste Italy Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Hampton University Hampton Virginia USA Department of Physics Yale University New Haven Connecticut USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) München Germany Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Queen Mary University of London London United Kingdom Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Department of Physics Brandeis University Waltham Massachusetts USA Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Institut für Physik Universität Mainz Mainz Germany Department of Physics Boston University Boston Massachusetts USA Department of Physics and Astronomy Stony Brook University Stony Brook New York USA Physics Department University of Texas at Dallas Richardson Texas USA INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fisica Università di Roma Tor Vergata Roma Italy Dep

The Z→ττ cross section is measured with the ATLAS experiment at the LHC in four different final states determined by the decay modes of the τ leptons: muon-hadron, electron-hadron, electron-muon, and muon-muon. The analysis is based on a data sample corresponding to an integrated luminosity of 36 pb−1, at a proton-proton center-of-mass energy of s=7 TeV. Cross sections are measured separately for each final state in fiducial regions of high detector acceptance, as well as in the full phase space, over the mass region 66–116 GeV. The individual cross sections are combined and the product of the total Z production cross section and Z→ττ branching fraction is measured to be 0.97±0.07(stat)±0.06(syst)±0.03(lumi) nb, in agreement with next-to-next-to-leading order calculations.

关键词： LARGE Hadron Collider (France & Switzerland) MUONS LEPTONS (Nuclear physics) SPECIAL relativity (Physics) PROTON-proton interactions

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Properties of jets measured from tracks in proton-proton collisions at center-of-mass energy s=7 TeV with the ATLAS detector

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Physical Review D 2011年第5期84卷 054001-054001页

作者： G. Aad B. Abbott J. Abdallah A. A. Abdelalim A. Abdesselam O. Abdinov B. Abi M. Abolins H. Abramowicz H. Abreu E. Acerbi B. S. Acharya D. L. Adams T. N. Addy J. Adelman M. Aderholz S. Adomeit P. Adragna T. Adye S. Aefsky J. A. Aguilar-Saavedra M. Aharrouche S. P. Ahlen F. Ahles A. Ahmad M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov A. Akiyama M. S. Alam M. A. Alam J. Albert S. Albrand M. Aleksa I. N. Aleksandrov F. Alessandria C. Alexa G. Alexander G. Alexandre T. Alexopoulos M. Alhroob M. Aliev G. Alimonti J. Alison M. Aliyev P. P. Allport S. E. Allwood-Spiers J. Almond A. Aloisio R. Alon A. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders K. J. Anderson A. Andreazza V. Andrei M-L. Andrieux X. S. Anduaga A. Angerami F. Anghinolfi N. Anjos A. Annovi A. Antonaki M. Antonelli A. Antonov J. Antos F. Anulli S. Aoun L. Aperio Bella R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin E. Arik M. Arik A. J. Armbruster O. Arnaez C. Arnault A. Artamonov G. Artoni D. Arutinov S. Asai R. Asfandiyarov S. Ask B. Åsman L. Asquith K. Assamagan A. Astbury A. Astvatsatourov G. Atoian B. Aubert B. Auerbach E. Auge K. Augsten M. Aurousseau N. Austin G. Avolio R. Avramidou D. Axen C. Ay G. Azuelos Y. Azuma M. A. Baak G. Baccaglioni C. Bacci A. M. Bach H. Bachacou K. Bachas G. Bachy M. Backes M. Backhaus E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. Baker M. D. Baker S. Baker E. Banas P. Banerjee Sw. Banerjee D. Banfi A. Bangert V. Bansal H. S. Bansil L. Barak S. P. Baranov A. Barashkou A. Barbaro Galtieri T. Barber E. L. Barberio D. Barberis M. Barbero D. Y. Bardin T. Barillari M. Barisonzi T. Barklow N. Barlow B. M. Barnett R. M. Barnett A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch V. Bartsch R. L. Bates L. Batkova J. R. Batley A. Bat Fakultät für Mathematik und Physik Albert-Ludwigs-Universität Freiburg i.Br. Germany Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institut de Física d’Altes Energies and Universitat Autònoma de Barcelona and ICREA Barcelona Spain Section de Physique Université de Genève Geneva Switzerland Department of Physics Oxford University Oxford United Kingdom Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Department of Physics Oklahoma State University Stillwater Oklahoma USA Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel LAL Université Paris-Sud and CNRS/IN2P3 Orsay France INFN Sezione di Milano Italy Dipartimento di Fisica Università di Milano Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Trieste Italy Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Hampton University Hampton Virginia USA Department of Physics Yale University New Haven Connecticut USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) München Germany Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Department of Physics Queen Mary University of London London United Kingdom Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Department of Physics Brandeis University Waltham Massachusetts USA Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Institut für Physik Universität Mainz Mainz Germany Department of Physics Boston University Boston Massachusetts USA Department of Physics and Astronomy Stony Brook University Stony Brook New York USA Physics Department University of Texas at Dallas Richardson Texas USA INFN Sezione di Roma Tor Vergata Italy Dipartimento di Fisica Università di Roma Tor Vergata Roma Italy Dep

Jets are identified and their properties studied in center-of-mass energy s=7 TeV proton-proton collisions at the Large Hadron Collider using charged particles measured by the ATLAS inner detector. Events are selected using a minimum bias trigger, allowing jets at very low transverse momentum to be observed and their characteristics in the transition to high-momentum fully perturbative jets to be studied. Jets are reconstructed using the anti-kt algorithm applied to charged particles with two radius parameter choices, 0.4 and 0.6. An inclusive charged jet transverse momentum cross section measurement from 4 GeV to 100 GeV is shown for four ranges in rapidity extending to 1.9 and corrected to charged particle-level truth jets. The transverse momenta and longitudinal momentum fractions of charged particles within jets are measured, along with the charged particle multiplicity and the particle density as a function of radial distance from the jet axis. Comparison of the data with the theoretical models implemented in existing tunings of Monte Carlo event generators indicates reasonable overall agreement between data and Monte Carlo. These comparisons are sensitive to Monte Carlo parton showering, hadronization, and soft physics models.

关键词： JETS (Nuclear physics) NUCLEAR reactions SCATTERING (Physics) NEUTRINO mass ATOMIC mass PROTON-proton interactions

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Interpreting the iISS Small-Gain Theorem as Transient Plus ISS Small-Gain Regulation

Interpreting the iISS Small-Gain Theorem as Transient Plus I...

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2010 49th IEEE Conference on Decision and Control

作者： Hiroshi Ito randy A. Freeman Antoine Chaillet Department of Systems Design and Informatics Kyushu Institute of Technology 680-4 Kawazu Iizuka 820-8502 Japan Department of Electrical Engineering and Computer Science Northwestern University Evanston IL 60208-3118 USA L2S EECI Univ. Paris Sud 11 - Supelec 3 rue Joliot Curie 91192 Gif-sur-Yvette France

ISBN: (纸本)9781424477456

This paper addresses the problem of establishing stability of interconnections of integral input-to-state stable (iISS) systems. Recently, the small-gain theorem for input-to-state stable (ISS) systems has been extended to the class of iISS systems. It has been also proved that at least one of the two iISS subsystems comprising a feedback interconnection needs to be ISS with respect to the state of the other subsystem for guaranteeing the iISS of the overall system. This paper shows that making use of this necessary condition enables to provide more insight on the iISS small gain theorem by giving an alternative proof of this result from the perspective of transient plus ISS small-gain regulation.

关键词： Theorem SUB-SYSTEM small gain theorem Gain control Standing Orders

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Performance evaluation of a dynamic approach for networked servers distributed virtual environments

Performance evaluation of a dynamic approach for networked s...

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2009 Spring Simulation Multiconference, SpringSim 2009

作者： Bouras, Christos Giannaka, Eri Tsiatsos, Thrasyvoulos Research Academic Computer Technology Institute Greece Computer Engineering and Informatics Department University of Patras Greece Department of Informatics Aristotle University of Thessaloniki Greece

Distributed Virtual Environment systems simulate the behaviour and activities of a great number of concurrent users interacting in a virtual world over a wide area network. The advances both in computer technology and networking infrastructures in combination to the advanced applications and services developed, expanded the popularity of DVEs and promoted their use in a wide range of areas, such as learning and training, collaborative work, military applications and multiplayer online games. The sizes of the virtual worlds simulated and the tremendous number of users that DVEs are called to support require additional bandwidth and computational resources. For handling these growing requirements a lot of work has been done both to the direction of alternative architectural solutions as well as to techniques and algorithms for handling and overcoming the limitations of these environments. However, recent research has shown that one of the major limitations of networked servers DVE systems is scalability. To this direction this paper presents on the one hand a dynamic approach for DVEs, which exploits the nature of these systems for the optimal resource management and extended scalability support and on the other hand, evaluates its performance through a series of experiments and under various settings of the virtual world, using Simul8 simulation tool.

关键词： Resource allocation

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An open and integrated management platform for wireless sensor networks

An open and integrated management platform for wireless sens...

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2009 International Symposium on Autonomous Decentralized Systems, ISADS 2009

作者： Kalochristianakis, M. Gkamas, V. Mylonas, G. Nikoletseas, S. Varvarigos, E. Rolim, J. Research Academic Computer Technology Institute Department of Computer Engineering Informatics University of Pairas Rio Greece Department of Computer Science University of Geneva Switzerland

ISBN: (纸本)9781424443277

We present the conceptual basis and the initial planning for an open source management architecture for wireless sensor networks (WSN). Although there is an abundance of open source tools serving the administrative needs of WSN deployments, there is a lack of tools or platforms for high level integrated WSN management. This is because of a variety of factors, including the lack of open source management tools, the immaturity of tools that offer manageability for WSNs, the limited high level management capabilities of sensor devices and architectures, and the lack of standardization. The current work is, to our knowledge, the first effort to conceptualize, formalize and design a remote, integrated management platform for the support of WSN research laboratories. The platform is based on the integration and extension of two innovative platforms: jWebDust, a WSN operation and management platform, and OpenRSM, an open source integrated remote systems and network management platform. The proposed system architecture can support several levels of integration (infrastructure management, functionality integration, firmware management), corresponding to different use-cases and application settings.

关键词： Wireless sensor networks

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Date-based dynamic caching mechanism

Date-based dynamic caching mechanism

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IADIS European Conference on Data Mining 2009, ECDM'09. Part of the IADIS Multi Conference on computer Science and Information Systems, MCCSIS 2009

作者： Bouras, Christos Poulopoulos, Vassilis Silintziris, Panagiotis Research Academic Computer Technology Institute N. Kazantzaki Panepistimioupoli and Computer Engineering and Informatics Department University of Patras 26504 Rion Patras Greece Computer Engineering and Informatics Department University of Patras 26504 Rion Patras Greece

ISBN: (纸本)9789728924881

News portals based on the RSS protocol are becoming nowadays one of the dominant ways that Internet users follow in order to locate the information they are looking for. Search engines, which operate at the back-end of a big portion of these web sites, receive millions of queries per day on any and every walk of web life. While these queries are submitted by thousands of unrelated users, studies have shown that small sets of popular queries account for a significant fraction of the query stream. A second truth has to do with the high frequency that a particular user tends to submit the same or highly relative search requests to the engine. By combining these facts, in this paper, we design and analyze the caching algorithm deployed in our personalized RSS portal, a web-based mechanism for the retrieval, processing and presentation in a personalized view of articles and RSS feeds collected from major Internet news portals. By using moderate amounts of memory and little computational overhead, we achieve to cache query results in the server, both for personalized and non-personalized user searches. Our caching algorithm operates not in a stand-alone manner but it co-operates and binds with the rest of the modules of our Portal in order to accomplish maximum integration with the system. © 2009 IADIS.

关键词： Search engines

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A New Approach to Graph Recognition and Applications to Distance-Hereditary Graphs

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Journal of computer Science & technology 2009年第3期24卷 517-533页

作者： Shin-ichi Nakano Ryuhei Uehara Takeaki Uno Department of Computer Science Faculty of EngineeringGunma UniversityGunma 376-8515Japan School of Information Science Japan Advanced Institute of Science and TechnologyIshikawa 923-1292Japan National Institute of Informatics Tokyo 101-8430Japan

Algorithms used in data mining and bioinformatics have to deal with huge amount of data efficiently. In many applications, the data are supposed to have explicit or implicit structures. To develop efficient algorithms for such data, we have to propose possible structure models and test if the models are feasible. Hence, it is important to make a compact model for structured data, and enumerate all instances efficiently. There are few graph classes besides trees that can be used for a model. In this paper, we investigate distance-hereditary graphs. This class of graphs consists of isometric graphs and hence contains trees and cographs. First, a canonical and compact tree representation of the class is proposed. The tree representation can be constructed in linear time by using prefix trees. Usually, prefix trees are used to maintain a set of strings. In our algorithm, the prefix trees are used to maintain the neighborhood of vertices, which is a new approach unlike the lexicographically breadth-first search used in other studies. Based on the canonical tree representation, efficient algorithms for the distance-hereditary graphs are proposed, including linear time algorithms for graph recognition and graph isomorphism and an efficient enumeration algorithm. An efficient coding for the tree representation is also presented; it requires [3.59n] bits for a distance-hereditary graph of n vertices and 3n bits for a cograph. The results of coding improve previously known upper bounds （both are 2^O（nlogn）） of the number of distance-hereditary graphs and cographs to 2^[3.59n] and 2^3n, respectively.

关键词： algorithmic graph theory cograph distance-hereditary graph prefix tree tree representation

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Pandemic simulations by MADE: The hybrid method of multi-agent and differential equations

Pandemic simulations by MADE: The hybrid method of multi-age...

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Asia Simulation Conference 2009, JSST 2009

作者： Toyosaka, Yuki Hirose, Hideo School of Computer Science and Systems Engineering Kyushu Institute of Technology Japan Department of Systems Design and Informatics Kyushu Institute of Technology Japan

Two pandemic simulation approaches are known: the MAS and the SEIR. The MAS can deal with detailed simulations under a variety of initial and boundary conditions with standard social network models;however, the computing cost is high. The SEIR can quickly deal with simulations for homogeneous populations with simultaneous ordinary differential equations and a few parameters;however, it lacks versatility in its use. We propose a new method, the MADE, combining these two methods, such that we use the MAS in the early stage in a simulation to determine the parameters that can be used in the SEIR, and then use the SEIR in the subsequent stage. With this method, we may deal with pandemic simulations for real social structures with lower computing costs. Using this new model, we show the swine influenza A (H1N1) simulation results as well as the actual observed cases.

关键词： Ordinary differential equations

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Ontology engineering

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Nature Biotechnology 2010年第2期28卷 128-130页

作者： Alterovitz, Gil Xiang, Michael Hill, David P. Lomax, Jane Liu, Jonathan Cherkassky, Michael Dreyfuss, Jonathan Mungall, Chris Harris, Midori A. Dolan, Mary E. Blake, Judith A. ramoni, Marco F. Children's Hospital Informatics Program Harvard-MIT Division of Health Sciences and Technology Harvard Medical School Boston MA United States Partners Healthcare Center for Personalized Genetic Medicine Boston MA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA United States Jackson Laboratory Bar Harbor ME United States EMBL-EBI Wellcome Trust Genome Campus Hinxton United Kingdom Department of Biology Massachusetts Institute of Technology Cambridge MA United States Lawrence Berkeley National Laboratory Berkeley CA United States

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Comparison of data driven models for the valuation of residential premises using KEEL

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International Journal of Hybrid Intelligent Systems 2010年第1期7卷 3-16页

作者： Lasota, Tadeusz Mazurkiewicz, Jacek Trawiński, Bogdan Trawiński, Krzysztof Department of Spatial Management Wrocław University of Environmental and Life Sciences ul. Norwida 25/27 50-375 Wrocław Poland European Centre for Soft Computing Edificio Científico-Tecnológico 3 Planta C. Gonzalo Gutiérrez Quirós S/N 33600 Mieres Asturias Spain Institute of Computer Engineering Control and Robotics Wrocław University of Technology Wybrzeże Wyspiańskiego 27 50-370 Wrocław Poland Institute of Informatics Wrocław University of Technology Wybrzeże Wyspiańskiego 27 50-370 Wrocław Poland

The experiments aimed to compare data driven models for the valuation of residential premises were conducted using KEEL (Knowledge Extraction based on Evolutionary Learning) system. Twelve different regression algorithms were applied to an actual data set derived from the cadastral system and the registry of real estate transactions. The 10-fold cross validation and statistical tests were applied. The lowest values of MSE provided models constructed and optimized by means of support vector machine, artificial neural network, decision trees for regression and quadratic regression, however differences between them were not statistically significant. Worse performance revealed algorithms employing evolutionary fuzzy rule learning. The experiments confirmed the usefulness of KEEL as a powerful tool with its numerous evolutionary algorithms together with classical learning approaches to carry out laborious investigation on a practical problem in a relatively short time.

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