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Measurements of integrated and differential cross sections for isolated photon pair production in pp collisions at s=8 TeV with the ATLAS detector

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Physical Review D 2017年第11期95卷 112005-112005页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah 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 A. V. Akimov G. L. Alberghi J. Albert P. Albicocco M. J. Alconada Verzini 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. 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 H. Bahrasemani J. T. Baines M. Bajic O. K. Baker E. M. Baldin P. Balek F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits 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. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley M. 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 Department of Physics The University of Texas at Arlington Arlington Texas 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 Ontario 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 and CAFPE Universidad de Granada Granada Portugal Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear

A measurement of the production cross section for two isolated photons in proton-proton collisions at a center-of-mass energy of s=8 TeV is presented. The results are based on an integrated luminosity of 20.2 fb−1 recorded by the ATLAS detector at the Large Hadron Collider. The measurement considers photons with pseudorapidities satisfying |ηγ|<1.37 or 1.56<|ηγ|<2.37 and transverse energies of respectively ET,1γ>40 GeV and ET,2γ>30 GeV for the two leading photons ordered in transverse energy produced in the interaction. The background due to hadronic jets and electrons is subtracted using data-driven techniques. The fiducial cross sections are corrected for detector effects and measured differentially as a function of six kinematic observables. The measured cross section integrated within the fiducial volume is 16.8±0.8 pb. The data are compared to fixed-order QCD calculations at next-to-leading-order and next-to-next-to-leading-order accuracy as well as next-to-leading-order computations including resummation of initial-state gluon radiation at next-to-next-to-leading logarithm or matched to a parton shower, with relative uncertainties varying from 5% to 20%.

关键词： Quantum chromodynamics Photons

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Abstracts from the 3rd Conference on Aneuploidy and Cancer: Clinical and Experimental Aspects

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Molecular Cytogenetics 2017年第2期10卷 77-94页

作者： Athel Cornish-Bowden David Rasnick Henry H. Heng Steven Horne Batoul Abdallah Guo Liu Christine J. Ye Mathew Bloomfield Mark D. Vincent C. Marcelo Aldaz Jenny Karlsson Anders Valind Caroline Jansson David Gisselsson Jennifer A. Marshall Graves Aleksei A. Stepanenko Svitlana V. Andreieva Kateryna V. Korets Dmytro O. Mykytenko Stanislav S. Avdieiev Nataliya L. Huleyuk Vladimir P. Baklaushev Oksana A. Kovaleva Vladimir P. Chekhonin Yegor S. Vassetzky Bjorn Bakker Aaron S. Taudt Mirjam E. Belderbos David Porubsky Diana C. J. Spierings Tristan V. de Jong Nancy Halsema Hinke G. Kazemier Karina Hoekstra-Wakker Victor Guryev Peter M. Lansdorp Maria Colomé Tatché Floris Foijer Allan Bradley Eveline S. J. M. de Bont Anke van den Berg Thomas Liehr Nicolaas C. Baudoin Joshua M. Nicholson Kimberly Soto Daniela Cimini Isabel Quintanilla Jordi Camps M. Dürrbaum N. Donnelly V. Passerini C. Kruse Z. Storchová B. Habermann Daniele Mandrioli Fiorella Belpoggi Ellen K Silbergeld Melissa J Perry Rolf I. Skotheim Marthe Løvf Bjarne Johannessen Andreas M. Hoff Sen Zhao Jonas M. SveeStrømme Anita Sveen Ragnhild A. Lothe R. Hehlmann A. Voskanyan A. Fabarius Alfred Böcking Stefan Biesterfeld Leonid Berynskyy Christof Börgermann Rainer Engers Josef Dietz A. Fritz N. Page C. Tye G. Stein J. Stein N. Sehgal R. Berezney J. Vecerova B. Stojkovicz H. Ding J. Xu S. Bhattacharya Xue Gong Sarah Grasedieck Julian Swoboda Jonathan R. Pollack Frank G. Rücker Lars Bullinger Fani-Marlen Roumelioti Maria Chiourea Christina Raftopoulou Sarantis Gagos Peter Duesberg Mat Bloomfield Sunyoung Hwang Hans Tobias Gustafsson Ciara O’Sullivan Aracelli Acevedo-Colina Eduardo M. Torres Xinhe Huang Robert C. Dickson Christian Klose Andrej Schevchenko Paola Cavaliere Noah Dephoure Martha R. Stampfer Mark A. LaBarge James C. Garbe Lukas Vrba Bernard Futscher Yi-Hong Zhou Andrew L. Trinh Michelle Digman Directeur de Recherche (Émérite) Centre National de la Recherche Scientifique (CNRS) Marseilles France 549 Fairbanks Ave. Oakland California 94610 USA Wayne State University School of Medicine Detroit MI USA University of Michigan School of Medicine Ann Arbor MI USA Department of Molecular and Cell Biology UC Berkeley Donner Lab Berkeley CA USA Department of Natural Sciences and Mathematics Dominican University of California San Rafael CA USA Department of Medical Oncology London Regional Cancer Program London Ontario N6A 4L6 Canada Department of Epigenetics and Molecular Carcinogenesis University of Texas M.D. Anderson Cancer Center Science Park Smithville TX 78957 USA Department of Laboratory Medicine Division of Clinical Genetics Lund University Lund SE221 84 Sweden Department of Clinical Sciences Division of Oncology and Pathology Lund University Lund SE221 85 Sweden Skåne Regional and Univeristy Laboratories Department of Pathology Lund SE221 85 Sweden School of Life Sciences La Trobe University Melbourne Vic 3168 Australia Department of Functional Genomics Institute of Molecular Biology and Genetics Kyiv 03680 Ukraine Institute of Hereditary Pathology National Academy of Medical Sciences of Ukraine Lviv 79008 Ukraine Federal Research and Clinical Center FMBA of Russia Moscow 115682 Russia R.E. Kavetsky Institute of Experimental Pathology Oncology and Radiobiology Kyiv 03022 Ukraine V. P. Serbsky Federal Medical Research Centre of Psychiatry and Narcology Ministry of Health of the Russian Federation Moscow 119034 Russia Department of Medicinal Nanobiotechnology Pirogov Russian State Medical University Moscow 117997 Russia CNRS UMR8126 Université Paris-Sud 11 Institut de Cancérologie Gustave Roussy Villejuif 94805 France European Research Institute for the Biology of Ageing University of Groningen University Medical Center Groningen A. Deusinglaan 1 NL-9713 AV Groningen The Netherlands Department of Paediatrics University

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EEG analysis during sleep by using morphological local pattern spectrum

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ICIC Express Letters 2013年第5期7卷 1469-1474页

作者： Miyanishi, Kohei Yamaguchi, Tomonari Fujio, Mitsuhiko Inoue, Katsuhiro Department of Systems Design and Informatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka Japan

Time-frequency analysis methods such as short-time Fourier transform and wavelet transform are applied to investigate characteristic from non-stationary signal. In this study, we proposed redundant morphological wavelet analysis that was a kind of nonlinear discrete wavelet and redundant wavelet. This method analyzes a transition of shape information from signal in detail since this method keeps property of shift invariance though information of decomposition includes redundancy. Local pattern spectrum which corresponds to nonlinear short time Fourier transform is derived from this non- linear wavelet. The characteristics of these methods were confirmed by applying to sleep data. © 2013 ISSN 1881-803X.

关键词： Mathematical morphology

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Dynamic Bandwidth Distribution for Entertainment Vehicular Networks Applications

Dynamic Bandwidth Distribution for Entertainment Vehicular N...

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International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Ronan D. Mendonça Thais R.M. Braga Silva Fabrício A. Silva Linnyer B. Ruiz Antonio A.F. Loureiro Graduate Program in Electrical Engineering Federal University of Minas Gerais Campus Florestal - Fed. Univ. of Vicosa Vicosa Brazil Computer Science Department Federal University of Minas Gerais Department of Informatics State University of Maringa

Vehicular networks will play an important role in future smart cities. Connected vehicles will be able to provide entertainment content to their users in order to make traffic situations more enjoyable. However, the amount of bandwidth available to the vehicles may not be enough to satisfy all of them. In this case, we can say that a conflict of interest occurred and then must the solved as fair as possible. In this work, we propose a solution to solve this kind of collective conflict. Our solution balances users' satisfaction with resources consumption as it is capable of choosing the most adequate resolution algorithm based on the current application's situation. The results showed that with our solution it was possible to achieve adequate satisfaction levels, with low response time and controlled network usage.

关键词： Vehicles Bandwidth Entertainment industry Protocols Time factors Vehicle dynamics Heuristic algorithms

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On interpretation of fuzzy cognitive maps trained to model time series

On interpretation of fuzzy cognitive maps trained to model t...

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World Congress on Information and Communication Technologies (WICT)

作者： Wladyslaw Homenda Agnieszka Jastrzebska Witold Pedrycz Faculty of Economics and Informatics in Vilnius University of Bialystok Vilnius Lithuania Faculty of Mathematics and Information Science Warsaw University Technology Warsaw Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical & Computer Engineering University of Alberta Edmonton Canada

The article analyzes consecutive phases of time series modelling with Fuzzy Cognitive Maps. The subject of interest are features determining models of good quality. First, we present the procedure: design phase, learning phase, and in the end - application. The discussion is illustrated with experiments on two synthetic time series. We have shown that the design phase determines qualitative and quantitative effectiveness of modelling. We have addressed effects of misdesigns: too large, too small or unfit at all maps on modelling quality.

关键词： Time series analysis Fuzzy cognitive maps Analytical models Biological system modeling Couplings Bibliographies Numerical models

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Two-level feature selection for naive bayes with kernel density estimation in question classification based on Bloom's cognitive levels

Two-level feature selection for naive bayes with kernel dens...

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2013 5th International Conference on Information Technology and Electrical engineering, ICITEE 2013

作者： Supriyanto, Catur Yusof, Norazah Nurhadiono, Bowo Sukardi Faculty of Computer Science Universitas Dian Nuswantoro Semarang Indonesia Faculty of Computing Universiti Teknologi Malaysia Skudai Malaysia Program of Informatics Engineering College of Computing and Informatics Adhi Guna Palu Indonesia

ISBN: (纸本)9781479904259

This paper proposes a two-level feature selection to improves Naïve Bayes with kernel density estimation. The performance of the proposed feature selection is evaluated on question item set based on Bloom's cognitive levels. This two-level feature selection contains of filter and wrapper based feature selection. This paper uses chi square and information gain as the filter based feature selection and forward feature selection and backward feature elimination as the wrapper based feature selection. The result shows that the two-level feature selection improves the Naïve Bayes with kernel density estimation. The combination of chi square and backward feature elimination give more optimal quality than the other combination. © 2013 IEEE.

关键词： Feature Selection

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Classification with a limited space of features: Improving quality by rejecting misclassifications

Classification with a limited space of features: Improving q...

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World Congress on Information and Communication Technologies (WICT)

作者： Wladyslaw Homenda Agnieszka Jastrzebska Witold Pedrycz Radoslaw Piliszek Faculty of Economics and Informatics in Vilnius University of Bialystok Vilnius Lithuania Faculty of Mathematics and Information Science Warsaw University Technology Warsaw Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical & Computer Engineering University of Alberta Edmonton Canada

Classification, especially in the case of a small space of features, is prone to errors. This is more important when it is costly to gain data from samples to calculate the values for futures. We study what effect limiting the space of features has on the performance of built classifiers and how the quality of classification can be improved by rejecting misclassified elements.

关键词： Support vector machines Accuracy Vegetation computer architecture Training Vectors Symmetric matrices

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Erratum to: Measurement of the charge asymmetry in top-quark pair production in the lepton-plus-jets final state in pp collision data at s = 8 TeV with the ATLAS detector

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The European Physical Journal C 2017年第8期77卷 1-15页

作者： Aad, G. Abbott, B. Abdallah, J. Abdinov, O. Aben, R. Abolins, M. AbouZeid, O. S. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adamczyk, L. Adams, D. L. Adelman, J. Adomeit, S. Adye, T. Affolder, A. A. Agatonovic-Jovin, T. Agricola, J. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akerstedt, H. Åkesson, T. P. A. Akimov, A. V. Alberghi, G. L. Albert, J. Albrand, S. Alconada Verzini, M. J. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Alimonti, G. Alio, L. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Altheimer, A. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amako, K. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amorim, A. Amoroso, S. Amram, N. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, G. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Anger, P. Angerami, A. Anghinolfi, F. Anisenkov, A. V. Anjos, N. Annovi, A. Antonelli, M. Antonov, A. Antos, J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Asai, S. Asbah, N. Ashkenazi, A. Åsman, B. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Aurousseau, M. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baak, M. A. Baas, A. E. Baca, M. J. Bacci, C. Bachacou, H. Bachas, K. Backes, M. Backhaus, M. Bagiacchi, P. Bagnaia, P. Bai, Y. Bain, T. Baines, J. T. Baker, O. K. Baldin, E. M. Balek, P. Balestri, T. Balli, F. Balunas, W. K. Banas, E. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisonzi, M. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska, Z. Baroncelli, A. Barone, G. Barr, A. J. Barreiro, F. Barreiro Guimarães da Costa, J. Bartoldus, R. B CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing USA Department of Physics University of Toronto Toronto Canada 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 AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Physics Department Brookhaven National Laboratory Upton USA Department of Physics Northern Illinois University De Kalb USA Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK Oliver Lodge Laboratory University of Liverpool Liverpool UK Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany 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 Dubna Russia INFN Sezione di Roma Tor Vergata Rome Italy Dipartimento di Fisica Università di Roma Tor Vergata Rome Italy Fysiska institutionen Lunds universitet Lund Sweden P.N. Lebedev Institute of Physics

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Measurement of the tt¯ production cross section in the τ+jets final state in pp collisions at s=8 TeV using the ATLAS detector

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Physical Review D 2017年第7期95卷 072003-072003页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya S. Adachi L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini 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. 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 F. Anghinolfi 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 A. T. H. Arce 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 B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines M. Bajic O. K. Baker E. M. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits 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. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. B 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 Department of Physics The University of Texas at Arlington Arlington Texas USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France 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 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 Physics Department Brookhaven National Laboratory Upton New York USA 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 Laboratório de Instrumentação e Física Experimental de Partículas - LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada (Spain) 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 D

A measurement of the inclusive pp→tt¯+X production cross section in the τ+jets final state using only the hadronic decays of the τ lepton is presented. The measurement is performed using 20.2 fb−1 of proton-proton collision data recorded at a center-of-mass energy of s=8 TeV with the ATLAS detector at the Large Hadron Collider. The cross section is measured via a counting experiment by imposing a set of selection criteria on the identification and kinematic variables of the reconstructed particles and jets, and on event kinematic variables and characteristics. The production cross section is measured to be σtt¯=239±29 pb, which is in agreement with the measurements in other final states and the theoretical predictions at this center-of-mass energy.

关键词： Particle interactions Top quark

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Making a Robot Dance to Diverse Musical Genre in Noisy Environments

Making a Robot Dance to Diverse Musical Genre in Noisy Envir...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Joao Lobato Oliveira Keisuke Nakamura Thibault Langlois Fabien Gouyon Kazuhiro Nakadai Angelica Lim Luis Paulo Reis Hiroshi G. Okuno Artificial Intelligence and Computer Science Laboratory (LIACC) - FEUP Porto Portugal Honda Research Institute Japan Co. Ltd. Saitama Japan Science Faculty of the University of Lisbon (FCUL) Lisbon Portugal Institute for Systems and Computer Engineering of Science and Technology (INESC TEC) Porto Portugal Department of Intelligence Science and Technology Graduate School of Informatics Kyoto University Kyoto Japan

ISBN: (纸本)9781479969357

In this paper we address the problem of musical genre recognition for a dancing robot with embedded microphones capable of distinguishing the genre of a musical piece while moving in a real-world scenario. For this purpose, we assess and compare two state-of-the-art musical genre recognition systems, based on Support Vector Machines and Markov Models, in the context of different real-world acoustic environments. In addition, we compare different preprocessing robot audition variants (single channel and separated signal from multiple channels) and test different acoustic models, learned a priori, to tackle multiple noise conditions of increasing complexity in the presence of noises of different natures (e.g., robot motion, speech). The results with six different musical genres suggest improved results, in the order of 43.6pp for the most complex conditions, when recurring to Sound Source Separation and acoustic models trained in similar conditions to the testing scenarios. A robot dance demonstration session confirms the applicability of the proposed integration for genre-adaptive dancing robots in real-world noisy environments.

关键词： Noisy environment Dancing Source separation Robot Acoustic models MULTICHANNEL Support Vector Network Environments

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