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Study of jet shapes in inclusive jet production in pp collisions at s=7 TeV using the ATLAS detector

Physical Review D 2011年第5期83卷 052003-052003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 M. Ackers 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 M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo 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 J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos 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 S. Antonelli 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 K. E. Arms S. R. Armstrong 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 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 E. Badescu P. Bagnaia S. Bahinipati Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. 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 A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battist Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Str. 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano via Celoria 16 IT - 20133 Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Strada Costiera 11 IT-34014 Trieste Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics P.O. Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United

Jet shapes have been measured in inclusive jet production in proton-proton collisions at s=7 TeV using 3 pb−1 of data recorded by the ATLAS experiment at the LHC. Jets are reconstructed using the anti-kt algorithm w...

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Virtual reality mobility model for wireless ad hoc networks

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Journal of Systems engineering and Electronics 2008年第4期19卷 819-826页

作者： Yu Ziyue Gong Bo He Xingui School of Computer Science & Engineering Beijing Univ. of Aeronautics and Astronautics Beijing 100083 P. R. China Inst. of Command and Technology of Equipment Beijing 101416 P. R. China School of Electronics Engineering and Computer Science Peking Univ. Beijing 100871 P. R. China

For wireless ad hoc networks simulation, node＇s mobility pattern and traffic pattern are two key elements. A new simulation model is presented based on the virtual reality collision detection algorithm in obstacle environment, and the model uses the path planning method to avoid obstacles and to compute the node＇s moving path. Obstacles also affect node＇s signal propagation. Considering these factors, this study implements the mobility model for wireless ad hoc networks. Simulation results show that the model has a significant impact on the performance of protocols.

关键词： wireless ad hoc networks computer simulation network protocols mobility models

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Fractal analysis of user sessions inter-transaction time in social networks

Fractal analysis of user sessions inter-transaction time in ...

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2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

作者： Bai, Yu Hong, Fei School of Science Beijing University of Civil Engineering and Architecture Beijing China School of Computer Science and Engineering BeiHang University Beijing China

ISBN: (纸本)9781424421084

Online social networking sites like YouTube are among the most popular sites on the Internet. Understanding these behavior of user sessions is important, both to improve current systems and to design new applications of online social networks. In this paper, we analyzed numerous traces generated by a ubiquitous measurement technique from an edge network perspective to assess the inter-transaction times characteristics experienced. When viewed as time series data, inter-transaction times often exhibit long-range dependence manifested by Hurst parameter estimates greater than 0.5. Our results suggest that the inter-transaction times can be bursty across multiple time scales even at the microflow level, implying high performance variability during sufficiently long-lived application sessions. We anticipate that the quantification of such phenomena can enable applications to optimize and adjust their operation in care of potential performance degradation. These differences have implications for network capacity planning and design of next generation synthetic Web traffic. © 2008 IEEE.

关键词： Social networking (online)

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Multiscale analysis and modeling of user session traffic in social networks

Multiscale analysis and modeling of user session traffic in ...

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2008 11th IEEE International Conference on Communication Technology, ICCT 2008

作者： Yu, Bai Fei, Hong School of Science Beijing University of Civil Engineering and Architecture Beijing China School of Computer Science and Engineering BeiHang University Beijing China

ISBN: (纸本)9781424422517

Online social networking sites like YouTube are among the most popular sites on the Internet. Understanding these user sessions is important, both to improve current systems and to design new applications of online social networks. This paper reports on the results of a multiscale analysis of user session in traffic traces captured at the edge in campus network. The analyzed traffic is characterized by a non self-similar process for small time scales and strong self-similarity for larger time scales. For smaller time scales, the packet arrival times are independent explaining the weak correlation of the data. For larger timescales the arrival of user session connections can be considered independent. Additionally, we propose a model which allows generating traffic similar to the measured traffic. The model contains only multiscale index allowing influencing all observed changes in LD and Variance -Time plots. Comparing the output of the model with the real traffic traces we find that the model matches reality accurately. © 2008 IEEE.

关键词： Social networking (online)

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Measurement of underlying event characteristics using charged particles in pp collisions at s=900 GeV and 7 TeV with the ATLAS detector

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Physical Review D 2011年第11期83卷 112001-112001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 M. Ackers 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 H. Ahmed M. Ahsan G. Aielli T. Akdogan T. P. A. Åkesson G. Akimoto A. V. Akimov M. S. Alam M. A. Alam S. Albrand M. Aleksa I. N. Aleksandrov M. Aleppo 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 J. Alonso M. G. Alviggi K. Amako P. Amaral C. Amelung V. V. Ammosov A. Amorim G. Amorós N. Amram C. Anastopoulos 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 S. Antonelli J. Antos B. Antunovic F. Anulli S. Aoun R. Apolle G. Arabidze I. Aracena Y. Arai A. T. H. Arce J. P. Archambault S. Arfaoui J-F. Arguin T. Argyropoulos E. Arik M. Arik A. J. Armbruster K. E. Arms S. R. Armstrong O. Arnaez C. Arnault A. Artamonov 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 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 E. Badescu P. Bagnaia Y. Bai D. C. Bailey T. Bain J. T. Baines O. K. 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 A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa P. Barrillon R. Bartoldus A. E. Barton D. Bartsch R. L. Bates L. Batkova J. R. Batley A. Battaglia M. Battistin Albert-Ludwigs-Universität Fakultät für Mathematik und Physik Hermann-Herder Strasse 3 D - 79104 Freiburg i.Br. Germany University of Oklahoma Homer L. Dodge Department of Physics and Astronomy 440 West Brooks Room 100 Norman Oklahoma 73019-0225 USA Institut de Física d’Altes Energies IFAE Edifici Cn Universitat Autònoma de Barcelona ES - 08193 Bellaterra (Barcelona) Spain Université de Genève Section de Physique 24 rue Ernest Ansermet CH - 1211 Geneve 4 Switzerland Oxford University Department of Physics Denys Wilkinson Building Keble Road Oxford OX1 3RH United Kingdom Institute of Physics Azerbaijan Academy of Sciences H. Javid Avenue 33 AZ 143 Baku Azerbaijan Oklahoma State University Department of Physics 145 Physical Sciences Building Stillwater Oklahoma 74078-3072 USA Michigan State University Department of Physics and Astronomy High Energy Physics Group East Lansing Michigan 48824-2320 USA Tel Aviv University Raymond and Beverly Sackler School of Physics and Astronomy Ramat Aviv IL - Tel Aviv 69978 Israel LAL Université du Paris-Sud IN2P3/CNRS Orsay France INFN Sezione di Milano Italy Università di Milano Dipartimento di Fisica via Celoria 16 IT - 20133 Milano Italy INFN Gruppo Collegato di Udine Italy ICTP Strada Costiera 11 IT-34014 Trieste Italy University of Bonn Physikalisches Institut Nussallee 12 D - 53115 Bonn Germany Brookhaven National Laboratory Physics Department Building 510A Upton New York 11973 USA Hampton University Department of Physics Hampton Virginia 23668 USA Yale University Department of Physics P.O. Box 208121 New Haven Connecticut 06520-8121 USA Max-Planck-Institut für Physik (Werner-Heisenberg-Institut) Föhringer Ring 6 80805 München Germany Ludwig-Maximilians-Universität München Fakultät für Physik Am Coulombwall 1 DE - 85748 Garching Germany Queen Mary University of London Department of Physics Mile End Road London E1 4NS United Kingdom Rutherford Appleton Laboratory Science and Technology Facili

Measurements of charged particle distributions, sensitive to the underlying event, have been performed with the ATLAS detector at the LHC. The measurements are based on data collected using a minimum-bias trigger to select proton-proton collisions at center-of-mass energies of 900 GeV and 7 TeV. The “underlying event” is defined as those aspects of a hadronic interaction attributed not to the hard scattering process, but rather to the accompanying interactions of the rest of the proton. Three regions are defined in azimuthal angle with respect to the highest transverse momentum charged particle in the event, such that the region transverse to the dominant momentum-flow is most sensitive to the underlying event. In each of these regions, distributions of the charged particle multiplicity, transverse momentum density, and average pT are measured. The data show generally higher underlying event activity than that predicted by Monte Carlo models tuned to pre-LHC data.

关键词： PROTON-proton interactions NUCLEAR reactions DETECTORS SCATTERING (Physics) HADRONS

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Vehicle routing optimization problem based on hybrid intelligent algorithm

Vehicle routing optimization problem based on hybrid intelli...

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2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008

作者： Dongwei, Qiu Shanshan, Wan Qinghuai, Liang School of Geomatics and Urban Information Beijing University of Civil Engineering and Architecture Beijing 100044 China School of Computer Science Beijing University of Civil Engineering and Architecture Beijing 100044 China School of Civil Engineering and Architecture Beijing Jiaotong University Beijing 100044 China

ISBN: (纸本)9780769534909

Vehicle routing optimization problem with time constraint is researched in this paper and a hybrid optimization algorithm-PBIL combined with Ant algorithm is proposed and applied to VRP. The objective function is to minimize the cost and reduce the loss caused by customers' time restriction. The probability matrix of PBIL algorithm is modified with the positive feedback and information disappearing mechanisms of Ant algorithm. Also, the probability statistics for the road traffic status distributed is considered in decision-making for the vehicles' routing. The hybrid intelligent evolutionary algorithm is tested on Jingyuanda Logistics Company and the good validity, accuracy, and stability performance are fully proved. © 2008 IEEE.

关键词： Vehicle routing

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Research on networking laboratory design and training

Research on networking laboratory design and training

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9th International Conference for Young computer Scientists, ICYCS 2008

作者： Hong, Fei Bai, Yu School of Computer Science and Engineering BeiHang University Beijing 100083 China School of Science Beijing University of Civil Engineering and Architecture Beijing 100044 China

ISBN: (纸本)9780769533988

Networking technology is one of the most rapidly growing disciplines and is experiencing unprecedented market growth. It is thus crucial that students be exposed to contemporary networking equipment in a realistic setting, in order to connect theoretical material taught in lecture courses with the realities of physical hardware. To this end, a large computer networking laboratory has been set up to provide a realistic environment for teaching internetworking concepts. This laboratory provides univ.rsity-level students with a testbed to experiment with fundamental issues of internetworking in a way that cannot be provided by simulators or virtual labs. We describe the motivations for setting up the laboratory, its network structure and equipment, and the type of experiments students conduct. Many of the problems we faced in setting up our equipment are common in other univ.rsities. Our experiences are thus likely to be of value to those who are contemplating setting up experimental laboratory. © 2008 IEEE.

关键词： Laboratories

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The formal model of artificial classroom for classroom behavior dynamics

The formal model of artificial classroom for classroom behav...

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International Conference on computer science and Software engineering, CSSE 2008

作者： Wang, Lijun Zhao, Chunxiao School of Information Science and Engineering Bohai University Jinzhou China Department of Computer Beijing University of Civil Engineering and Architecture Beijing China

ISBN: (纸本)9780769533360

This paper focus on modeling classroom behavior dynamics (CBD) in artificial classroom (AC). AC is a case of artificial societies. In more detail, the goal of this paper is toreproduce artificial society's behavior in computation. By extending autonomy oriented computing (AOC) modeling method, we propose the formal ASOC framework for artificial societies. ASOC systems can be employed to explore AC for reproducing complicated classroom behaviors. © 2008 IEEE.

关键词： Multi agent systems

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Evaluation of water quality of small forest watershed runoff of the upper watershed of the miyun reservoir

Evaluation of water quality of small forest watershed runoff...

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2nd International Conference on Bioinformatics and Biomedical engineering, iCBBE 2008

作者： Liu, Shi-Hai Yu, Xin-Xiao School of Civil Engineering and Architecture Beijing Jiaotong Univ. Beijing 100044 China School of Soil and Water Conservation Beijing Forest Univ. Beijing 100083 China

ISBN: (纸本)9781424417483

Based on the grey analysis of water quality of the small forest watershed which located in the upper watershed of the Miyun reservoir of beijing mountain area. Its results show that one of them water quality is IV degree becomes it was polluted by the mercury, the rest of them show that the water quality degree are II or I, and its also show that the grey correlation coefficient of forest watershed runoff quality varied with the forest cover ratio, the more high forest cover ratio of the forest watershed its grey correlation coefficient more bigger than the whose lower cover ratio, regardless of the nature or artificial forest. © 2008 IEEE.

关键词： Water quality

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Robust fault detection and diagnosis for uncertain nonlinear systems

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Chinese Journal of Systems engineering and Electronics 2009年第5期000卷

作者： Wang Wei Tahir Hameed Ren Zhang Zhou Kemin School of Automation Science and Electrical Engineering Beihang Univ.Beijing 100191P.R.China Dept.of Electrical and Computer Engineering Louisiana State Univ.Baton RougeLA 70803USA

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