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Correction to: Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector

The European Physical Journal C 2017年第10期77卷 1-14页

作者： Aaboud, M. Aad, G. Abbott, B. Abdallah, J. 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. 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. Verzini, M. J. Alconada 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. Gonzalez, B. Alvarez Piqueras, D. Álvarez Alviggi, M. G. Amadio, B. T. Coutinho, Y. Amaral Amelung, C. Amidei, D. Santos, S. P. Amor Dos Amorim, A. 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. Bella, L. Aperio Arabidze, G. Arai, Y. Araque, J. P. Ferraz, V. Araujo 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. Backhaus, M. Bagnaia, P. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisits, M.-S. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessy, Z. Baroncelli, A. Barone, G. Barr, A. J. 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 USA Department of Physics The University of Texas at Arlington Arlington USA Department of Physics University of Adelaide Adelaide Australia 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 USA Department of Physics and Astronomy University of Sussex Brighton UK 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 USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan Faculty of Physics and Applied Computer Science AGH University of Science and Technology Kraków Poland Department of Physics Northern Illinois University DeKalb USA Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK 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 Lisbon Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston USA Joint Institute for Nuclear Research JINR Dubna Dubn

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Performance of the ATLAS track reconstruction algorithms in dense environments in LHC Run 2

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EUROPEAN PHYSICAL JOURNAL C 2017年第10期77卷 1页

作者： Aaboudd, M. Aad, G. Abbott, B. Abdallah, J. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaitia, Y. Acharya, B. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Akesson, T. P. Akimov, A. V. Alberghia, G. L. Albert, J. Albicocco, P. Verzini, M. J. Alconada Aleksa, M. Aleksandrov, I. N. Alexab, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimontia, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisioa, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. Gonzalez, B. Alvarez Piqueras, D. Alvarez Alviggia, M. G. Amadio, B. T. Coutinhoa, Y. Amaral Amelung, C. Amidei, D. Dos Santosa, S. P. Amor Amorima, A. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Andersb, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andreia, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkovc, A. V. Anjos, N. Annovia, A. Antela, C. Antonelli, M. Antonov, A. Antrim, D. J. Anullia, F. Aoki, M. Bella, L. Aperio Arabidze, G. Arai, Y. Araquea, J. P. Ferraza, V. Araujo Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J. -F. Argyropoulos, S. Arika, 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. Astalosa, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelosd, G. Baasa, A. E. Baca, M. J. Bachacou, H. Bachasa, K. Backes, M. Backhaus, M. Bagnaiaa, P. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Baldinc, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Banerjeee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberisa, D. Barbero, M. Barillari, T. Barisits, M. -S. Barklow, T. Barlow, N. Barnesc, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessya, Z. Baroncellia, A. Barone, 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 OK USA Department of Physics The University of Texas at Arlington Arlington TX USA 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 ON Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz CA USA Department of Physics and Astronomy University of Sussex Brighton UK 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 OR USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan Faculty of Physics and Applied Computer Science AGH University of Science and Technology Krakow Poland Department of Physics Northern Illinois University DeKalb IL USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK 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 Lisbon Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston MA USA Institut für Kern- und Teilchenphysik Technische Universität Dresden Dresden Germany INFN

With the increase in energy of the Large Hadron Collider to a centre-of-mass energy of 13 TeV for Run 2, events with dense environments, such as in the cores of highenergy jets, became a focus for new physics searches as well as measurements of the Standard Model. These environments are characterized by charged-particle separations of the order of the tracking detectors sensor granularity. Basic track quantities are compared between 3.2 fb(-1) of data collected by the ATLAS experiment and simulation of protonproton collisions producing high-transverse-momentum jets at a centre-of-mass energy of 13 TeV. The impact of chargedparticle separations and multiplicities on the track reconstruction performance is discussed. The track reconstruction efficiency in the cores of jets with transverse momenta between 200 and 1600 GeV is quantified using a novel, datadriven, method. The method uses the energy loss, dE/ dx, to identify pixel clusters originating from two charged particles. Of the charged particles creating these clusters, themeasured fraction that fail to be reconstructed is 0.061 +/- 0.006 (stat.) +/- 0.014 (syst.) and 0.093 +/- 0.017 (stat.) +/- 0.021 (syst.) for jet transverse momenta of 200-400GeV and 1400-1600GeV, respectively.

关键词： Charged particles

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Power minimization for data center with guaranteed QoS 15

Power minimization for data center with guaranteed QoS

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Design, Automation and Test in Europe Conference and Exhibition

作者： Shuo Liu Soamar Homsi Ming Fan Shaolei Ren Gang Quan Shangping Ren Department of Electrical and Computer Engineering Florida International University Miami FL Broadcom Corporation San Jose CA School of Computing and Information Sciences Florida International University Miami FL Department of Computer Science Illinois Institute of Technology Chicago IL

ISBN: (纸本)9783981537048

data centers have been widely employed to offer reliable and agile on-demand web services. However, the dramatic increase of the operational cost, largely due to the power consumptions, has posed a significant challenge to the service providers as services expand in both scale and scope. In this paper, we study the problem of how to improve resource utilization and minimize power consumption in a data center with guaranteed quality-of-service (QoS). Different from a common approach that separates requests with different QoS levels on different servers, we devise an approach to pack requests of the same service - even with different QoS requirements - into the same server to improve resource usage. We also develop a novel method to improve the system utilization without compromising the QoS levels by removing potential failure requests. Experimental results show superiority of our approach over other widely applied approaches.

关键词： Servers Quality of service Power demand Resource management Silicon Mathematical model Time factors

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Experimental Verification of Overlimiting Current by Surface Conduction and Electro-Osmotic Flow in Microchannels

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Physical Review Letters 2015年第11期114卷 114501-114501页

作者： Sungmin Nam Inhee Cho Joonseong Heo Geunbae Lim Martin Z. Bazant Dustin Jaesuk Moon Gun Yong Sung Sung Jae Kim Department of Electrical and Computer Engineering Seoul National University Seoul 151-744 Republic of Korea Department of Mechanical Engineering Pohang University of Science and Technology Pohang 790-784 Republic of Korea Department of Chemical Engineering and Mathematics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Material Science and Engineering Hallym University Chunchon 200-702 Republic of Korea Big Data Institute and Inter-university Semiconductor Research Center Seoul National University Seoul 151-744 Republic of Korea

Direct evidence is provided for the transition from surface conduction (SC) to electro-osmotic flow (EOF) above a critical channel depth (d) of a nanofluidic device. The dependence of the overlimiting conductance (OLC) on d is consistent with theoretical predictions, scaling as d−1 for SC and d4/5 for EOF with a minimum around d=8 μm. The propagation of transient deionization shocks is also visualized, revealing complex patterns of EOF vortices and unstable convection with increasing d. This unified picture of surface-driven OLC can guide further advances in electrokinetic theory, as well as engineering applications of ion concentration polarization in microfluidics and porous media.

关键词： SURFACE conductivity ELECTRO-osmostic pressure MICROCHANNEL flow NANOFLUIDIC devices DEIONIZATION of water ELECTROKINETICS

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A Note on the Evaluation of Mutation Prioritization Algorithms

A Note on the Evaluation of Mutation Prioritization Algorith...

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IEEE Symposium Series on Computational Intelligence

作者： Dusan Popovic Jesse Davis Alejandro Sifrim Bart De Moor STADIUS Center for Dynamical Systems Signal Processing and Data Analytics Department of Electrical Engineering (ESAT) KU Leuven Department of Computer Science KU Leuven Wellcome Trust Sanger Institute Wellcome Trust Genome Campus

ISBN: (纸本)9781479975617

Recent developments in the field of gene sequencing technology greatly accelerated discovery of mutations that cause various genetic disorders. At the same time, a typical sequencing experiment generates a large number of candidate mutations, hence detecting single or few causative variants is still a formidable problem. Many computational methods have been proposed to assist this process, from which a large portion employ statistical learning in some form. Consequently, each newly designed algorithm is routinely compared to other competing systems in hope to demonstrate advantageous performance. In this work we review and discuss several issues related to the current practice of evaluation of mutation prioritization algorithms and suggest possible directions for improvements.

关键词： Statistical learning Hereditary Diseases Mutation Hopefulness algorithms Base Sequence Design Algorithm Note Taking computational methods

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Online fault detection based on Typicality and Eccentricity data Analytics

Online fault detection based on Typicality and Eccentricity ...

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International Joint Conference on Neural Networks, IJCNN 2015

作者： Costa, Bruno Sielly Jales Bezerra, Clauber Gomes Guedes, Luiz Affonso Angelov, Plamen Parvanov Campus Natal - Zona Norte Federal Institute of Rio Grande Do Norte - IFRN Natal Brazil Campus EaD Federal Institute of Rio Grande Do Norte - IFRN Natal Brazil Department of Computer Engineering and Automation Federal University of Rio Grande Do Norte - UFRN Brazil Lancaster University Data Science Group School of Computing and Communications LancasterLA1 4WA United Kingdom Excellence Carlos III University Madrid Spain

ISBN: (纸本)9781479919604

Fault detection is a task of major importance in industry nowadays, since that it can considerably reduce the risk of accidents involving human lives, in addition to production and, consequently, financial losses. Therefore, fault detection systems have been largely studied in the past few years, resulting in many different methods and approaches to solve such problem. This paper presents a detailed study on fault detection on industrial processes based on the recently introduced eccentricity and typicality data analytics (TEDA) approach. TEDA is a recursive and non-parametric method, firstly proposed to the general problem of anomaly detection on data streams. It is based on the measures of data density and proximity from each read data point to the analyzed data set. TEDA is an online autonomous learning algorithm that does not require a priori knowledge about the process, is completely free of user- and problem-defined parameters, requires very low computational effort and, thus, is very suitable for real-time applications. The results further presented were generated by the application of TEDA to a pilot plant for industrial process. © 2015 IEEE.

关键词： Fault detection

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Optimal Cloud Broker Method for Cloud Selection in Mobile Inter-cloud computing

Optimal Cloud Broker Method for Cloud Selection in Mobile In...

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International Conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Glaucio H.S. Carvalho Isaac Woungang Alagan Anpalagan Leonard Barolli Makoto Takizawa Faculty of Computing Federal University of Para Belem Brazil Department of Computer Science Ryerson University Toronto Canada Department of Electrical and Computer Engineering Ryerson University Toronto Canada Faculty of Information Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Advanced Sciences Hosei University Tokyo Japan

In the next generation of Cloud computing systems (so-called Inter-Cloud), it is expected that multiple Cloud Service Providers (CSPs) will collaborate or cooperate together to form the so-called Cloud Market, with the goal to advertise their services and associate prices to their end users. In this environment, mobile users will be able to better negotiate and select the CSP that better suits their budgetary and technical needs in a more flexible manner. However, despite the benefit of having multiple CSPs to choose from, mobile users will have to cope with several issues, for instance, that of selecting a suitable CSP to handle the incoming service request from the users. To address this problem, this paper proposes an optimal Cloud Broker. The role played by the optimal Cloud Broker is to provide the best possible match for mobile users and CSPs. The Cloud Broker design is formulated by using the framework of Semi-Markov Decision Process (SMDP). Considering the average cost criterion as the optimality criterion, the Value Iteration Algorithm is used to find the optimal Broker policy. Numerical results are presented, demonstrating the effectiveness of our proposed Broker design, in a scenario where a wireless service provider has its own Cloudlet and a Service level Agreement (SLA) has been established with a public CSP to handle the overload occurrences.

关键词： Cloud computing Mobile communication Cost function Manganese Wireless communication Mobile computing Resource management

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The monitoring of land use and land cover change of Sichuan province and Chengdu district, China

The monitoring of land use and land cover change of Sichuan ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shijie Yu Zezhong Zheng Wunian Yang Mingcang Zhu Yong He Zhenlu Yu Shengli Wang Fu Wang Jiang Li School of Resources and Environment Univ. of Electronic Science and Technology of China Chengdu Sichuan PRC State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan Univ. Wuhan Hubei PRC Ministry of Land and Resources of the China Chengdu Univ. of Technology Chengdu Sichuan PRC Guangxi Key Laboratory for Spatial Information and Geomatics Guilin Guangxi PRC Land and Resources Department of Sichuan Province Chengdu Sichuan PRC Sichuan Institute of Geo-Environment Monitoring Chengdu Sichuan PRC China National Space Administration Earth Observation System and Data Center Beijing PRC CMA National Satellite Meteorological Center Beijing PRC Dep. of Electrical and Computer Engineering Old Dominion Univ. Norfolk VA USA

Land use and land cover change (LUCC) is necessary to explore the factors leading to heavy drought and rainy-flood disaster in some districts of Sichuan province. A method based RS, GIS, GPS and Google earth (GE) is presented to establish LUCC database in Sichuan province and Chengdu district. At first, LUCC is interpreted based on the new temporal images and the land use and land cover database from TM in ***, some ground objects, which could not be identified in the new temporal images, were interpreted utilizing GE with some higher spatial resolution images. Thirdly, the new interpreted LUCC was validated in the field with GPS handheld receiver. Then, LUCC of Sichuan province was updated. A comparative analysis of LUCC between in Sichuan province and in Chengdu district was conducted and the result showed: (1) a large amount of farmland in Sichuan Province was occupied from 2000 to 2005 and the area is 84 573 ha. While construction land gained obviously and the area was 35 828 ha. The dynamic degree of construction land was 111.10 0 / 00 from 2000 to 2005. The LUCC demonstrated that the economy of Sichuan province continued to develop, the cities were overspreading and the urban heat island effect was deteriorated from 2000 to 2005. (2) A large amount of farmland was also occupied in Chengdu district from 2000 to 2005, the area amounted to 12 989 ha. The farmland lost was mainly changed to construction land, amounting to 93%. And the dynamic degree was 117.41 0 / 00 from 2000 to 2005, which was bigger than that in Sichuan province.

关键词： Spatial resolution Global Positioning System Urban areas Thermal pollution Remote sensing Google databases

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Identifying the Culprits Behind Network Congestion

Identifying the Culprits Behind Network Congestion

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Abhinav Bhatele Andrew R. Titus Jayaraman J. Thiagarajan Nikhil Jain Todd Gamblin Peer-Timo Bremer Martin Schulz Laxmikant V. Kale Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA Lawrence Livermore National Laboratory Livermore CA US Department of Computer Science University of Illinois at Urbana-Champaign Urbana IL

Network congestion is one of the primary causes of performance degradation, performance variability and poor scaling in communication-heavy parallel applications. However, the causes and mechanisms of network congestion on modern interconnection networks are not well understood. We need new approaches to analyze, model and predict this critical behaviour in order to improve the performance of large-scale parallel applications. This paper applies supervised learning algorithms, such as forests of extremely randomized trees and gradient boosted regression trees, to perform regression analysis on communication data and application execution time. Using data derived from multiple executions, we create models to predict the execution time of communication-heavy parallel applications. This analysis also identifies the features and associated hardware components that have the most impact on network congestion and intern, on execution time. The ideas presented in this paper have wide applicability: predicting the execution time on a different number of nodes, or different input datasets, or even for an unknown code, identifying the best configuration parameters for an application, and finding the root causes of network congestion on different architectures.

关键词： Hardware Predictive models Vegetation data models Three-dimensional displays Prediction algorithms Regression tree analysis

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Search for squarks and gluinos in events with an isolated lepton, jets, and missing transverse momentum at s=13 TeV with the ATLAS detector

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Physical Review D 2017年第11期96卷 112010-112010页

作者： M. Aaboud G. Aad B. Abbott O. Abdinov B. Abeloos S. H. Abidi O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya S. Adachi L. Adamczyk J. Adelman M. Adersberger T. Adye A. A. Affolder T. Agatonovic-Jovin C. Agheorghiesei J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli S. Akatsuka H. Akerstedt T. P. A. Åkesson E. Akilli A. V. Akimov G. L. Alberghi J. Albert P. Albicocco M. J. Alconada Verzini S. C. Alderweireldt M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob B. Ali M. Aliev G. Alimonti J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani A. A. Alshehri M. I. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi A. Angerami A. V. Anisenkov N. Anjos A. Annovi C. Antel M. Antonelli A. Antonov D. J. Antrim F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque V. Araujo Ferraz A. T. H. Arce R. E. Ardell F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagnaia M. Bahmani H. Bahrasemani J. T. Baines M. Bajic O. K. Baker E. M. Baldin P. Balek F. Balli W. K. Balunas E. Banas A. Bandyopadhyay Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits J. T. Barkeloo T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska-Blenessy A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. 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 Oklahoma USA 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 ON Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA 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 Oregon USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy 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 Illinois USA 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 Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Italy Dipartimento di

The results of a search for squarks and gluinos in final states with an isolated electron or muon, multiple jets and large missing transverse momentum using proton-proton collision data at a center-of-mass energy of s=13 TeV are presented. The data set used was recorded during 2015 and 2016 by the ATLAS experiment at the Large Hadron Collider and corresponds to an integrated luminosity of 36.1 fb−1. No significant excess beyond the expected background is found. Exclusion limits at 95% confidence level are set in a number of supersymmetric scenarios, reaching masses up to 2.1 TeV for gluino pair production and up to 1.25 TeV for squark pair production.

关键词： Supersymmetry Particle data analysis

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