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Joint Conference of the European Medical and Biological engineering Conference, EMBEC 2017 and Nordic-Baltic Conference on Biomedical engineering and Medical Physics, NBC 2107

作者： Filos, Dimitris Triantafyllidis, A. Manolios, V. Livitckaia, K. Claes, J. Buys, R. Cornelissen, V. Kouidi, E. Maglaveras, N. Chouvarda, I. Centre for Research and Technology Hellas Institute of Applied Biosciences Thessaloniki Greece Lab of Computing Medical Informatics & Biomedical lmaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Katholieke Universiteit Leuven Research Group for Cardiovascular and Respiratory Rehabilitation Belgium Laboratory of Sports Medicine Aristotle University of Thessaloniki Thermi Greece Department of Electrical Engineering and Computer Science Northwestern University EvanstonIL United States

ISBN: (纸本)9789811051210

Exercise-based rehabilitation plays a key role for patients with cardiovascular disease (CVD) in improving their well-being and reducing their symptoms. Monitoring and assessing the exercise response at an individual level is critical toward achieving better health outcomes. 15 exercise sessions performed by 5 CVD patients and 9 sessions from 3 regularly active individuals were monitored, and heart rate (HR) data were acquired. A model based on the HR dynamics during exercising at different intensities was built, and simulations were performed to assess performance in different scenarios of exercise selection. Our results show that the application of simple rules in exercise selection, which consider both the HR and the beneficial HR zones of individuals, can lead to beneficial execution of exercise programs (%time spent in beneficial HR zones: 60.6±27.5 for CVD patients). Personalized guidance during exercise has the potential to significantly contribute in the beneficial execution of exercise-based cardiac rehabilitation programs. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Patient rehabilitation

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Chirp pulse envelope evaluation for SAR image formation

Chirp pulse envelope evaluation for SAR image formation

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IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Eric J. Balster Andrew M. Kordik Frank A. Scarpino Kerry L. Hill Department of Electrical and Computer Engineering University of Dayton Dayton OH University of Dayton Research Institute University of Dayton Dayton OH Sensors Directorate U.S. Air Force Research Laboratory OH

ISBN: (纸本)9781538611050

In this paper, a number of pulse envelopes in a spotlight SAR simulation environment are tested. The simulation environment generates SAR phase history data from digital imagery so that the resulting SAR image formed from the phase history may be compared to the original with traditional image processing metrics such as peak signal-to-noise ratio (PSNR) and structured similarity index (SSIM). The results of this study show that a raised cosine envelope with rolloff factor β = 0.1 provides imagery of the best quality of the different envelopes tested, and provides an average of 1.06 dB gain in PSNR and 0.036 gain in SSIM when compared to a pulse with a rectangular envelope applied.

关键词： Synthetic aperture radar Radar imaging Image quality History Chirp Pulse shaping methods

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Erratum to: Measurement of differential cross sections and W+/W− cross-section ratios for W boson production in association with jets at = 8 TeV with the ATLAS detector

引用

Journal of High Energy Physics 2020年第10期2020卷 1-20页

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A. A. Afik, Y. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Alberghi, G. L. Albert, J. Albicocco, P. Alconada Verzini, M. J. Alderweireldt, S. C. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimonti, G. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, M. I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A. V. Anjos, N. Annovi, A. Antel, C. Antonelli, M. Antonov, A. Antrim, D. J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Araujo Ferraz, V. Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baas, A. E. Baca, M. J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Baines, J. T. Bajic, M. Baker, O. K. Bakker, P. J. Baldin, E. M. Balek, P. Balli, F. Balunas, W. K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisits, M-S Barkeloo, J. T. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska-Blenessy, Z. Baroncelli, A. Bar 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 United States of America 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 United States of America 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 United States of America 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 Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom 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 United States of America Joint Institute for Nuclear Research JINR Dubna Dubna Russia IN

Two additions impacting tables 3 and 4 in ref. [1] are presented in the following. No significant impact is found for other results or figures in ref. [1].

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Heuristic Recurrent Algorithms for Photonic Ising Machines

arXiv

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arXiv 2018年

作者： Roques-Carmes, Charles Shen, Yichen Zanoci, Cristian Prabhu, Mihika Atieh, Fadi Jing, Li Dubček, Tena Mao, Chenkai Johnson, Miles R. Čeperić, Vladimir Joannopoulos, John D. Englund, Dirk Soljačić, Marin Research Laboratory of Electronics Massachusetts Institute of Technology 50 Vassar Street CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Department of Mathematics Massachusetts Institute of Technology 77 Massachusetts Avenue CambridgeMA02139 United States Institute for Soldier Nanotechnologies 500 Technology Square CambridgeMA02139 United States

The inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been much effort recently toward developing novel, application-specific hardware, across many different fields of engineering, such as integrated circuits, memristors, and photonics. However, unleashing the true potential of such novel architectures requires the development of featured algorithms which optimally exploit their fundamental properties. We here present the Photonic Recurrent Ising Sampler (PRIS), a heuristic method tailored for parallel architectures that allows for fast and efficient sampling from distributions of combinatorially hard Ising problems. Since the PRIS relies essentially on vector-to-fixed matrix multiplications, we suggest the implementation of the PRIS in photonic parallel networks, which realize these operations at an unprecedented speed. The PRIS provides sample solutions to the ground state of arbitrary Ising models, by converging in probability to their associated Gibbs distribution. By running the PRIS at various noise levels, we probe the critical behavior of universality classes and their critical exponents. In addition to the attractive features of photonic networks, the PRIS relies on intrinsic dynamic noise and eigenvalue dropout to find ground states more efficiently. Our work suggests speedups in heuristic methods via photonic implementations of the PRIS. We also hint at a broader class of (meta)heuristic algorithms derived from the PRIS, such as combined simulated annealing on the noise and eigenvalue dropout levels. Our algorithm can also be implemented in a competitive manner on fast parallel electronic hardware, such as FPGAs and ASICs. Copyright © 2018, The Authors. All rights reserved.

关键词： Heuristic algorithms

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Early ultra-violet observations of type iin supernovae constrain the asphericity of their circumstellar material

arXiv

引用

arXiv 2020年

作者： Soumagnac, Maayane T. Ofek, Eran O. Liang, Jingyi Gal-Yam, Avishay Nugent, Peter Yang, Yi Cenko, S. Bradley Sollerman, Jesper Perley, Daniel A. Andreoni, Igor Barbarino, Cristina Burdge, Kevin B. Bruch, Rachel J. De, Kishalay Dugas, Alison Fremling, Christoffer Graham, Melissa L. Hankins, Matthew J. Strotjohann, Nora Linn Moran, Shane Neill, James D. Schulze, Steve Shupe, David L. Sipocz, Brigitta M. Taggart, Kirsty Tartaglia, Leonardo Walters, Richard Yan, Lin Yao, Yuhan Yaron, Ofer Bellm, Eric C. Cannella, Chris Dekany, Richard Duev, Dmitry A. Feeney, Michael Frederick, Sara Graham, Matthew J. Laher, Russ R. Masci, Frank J. Kasliwal, Mansi M. Kowalski, Marek Miller, Adam A. Rigault, Mickael Rusholme, Ben Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Department of Particle Physics and Astrophysics Weizmann Institute of Science Rehovot76100 Israel Department of Astronomy University of California BerkeleyCA94720-3411 United States Astrophysics Science Division Nasa Goddard Space Flight Center MC 661 GreenbeltMD20771 United States Joint Space-Science Institute University of Maryland College ParkMD20742 United States Department of Astronomy Oskar Klein Centre Stockholm University AlbaNova Stockholm10691 Sweden Astrophysics Research Institute Liverpool John Moores University 146 Brownlow Hill LiverpoolL3 5RF United Kingdom California Institute of Technology 1200 East California BoulevardMC 278-17 PasadenaCA91125 United States Department of Astronomy Dirac Institute University of Washington SeattleWA98195 United States Department of Physics and Astronomy University of Turku Tuorla Observatory FI-20014 Finland Nordic Optical Telescope Apartado 474 Santa Cruz de La PalmaE-38700 Spain California Institute of Technology IPAC 1200 E. California Blvd PasadenaCA91125 United States Department of Astronomy Dirac Institute University of Washington 3910 15th Avenue NE SeattleWA98195 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States California Institute of Technology Caltech Optical Observatories PasadenaCA United States Division of Physics California Institute of Technology Mathematics and Astronomy PasadenaCA91125 United States Department of Astronomy University of Maryland College ParkMD20742 United States Germany Institut Fr Physik DESY 15738 Zeuthen Humboldt-Universitt zu Berlin Berlin12489 Germany and Department of Physics and Astronomy Evanston Northwestern University 2145 Sheridan Road IL60208 United States Adler Planetarium ChicagoIL60605 United States Laboratoire de Physique de Clermont Universite Clermont Auvergne CNRS/I

We present a survey of the early evolution of 12 Type IIn supernovae (SNe IIn) in the Ultra-Violet (UV) and visible light. We use this survey to constrain the geometry of the circumstellar material (CSM) surrounding SN IIn explosions, which may shed light on their progenitor diversity. In order to distinguish between aspherical and spherical circumstellar material (CSM), we estimate the blackbody radius temporal evolution of the SNe IIn of our sample, following the method introduced by Soumagnac et al. We find that higher luminosity objects tend to show evidence for aspherical CSM. Depending on whether this correlation is due to physical reasons or to some selection bias, we derive a lower limit between 35% and 66% on the fraction of SNe IIn showing evidence for aspherical CSM. This result suggests that asphericity of the CSM surrounding SNe IIn is common { consistent with data from resolved images of stars undergoing considerable mass loss. It should be taken into account for more realistic modelling of these events. Copyright © 2020, The Authors. All rights reserved.

关键词： Light

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Contract-theoretic resource allocation for critical infrastructure protection

arXiv

引用

arXiv 2017年

作者： Eldosouky, Abdel Rahman Saad, Walid Kamhoua, Charles Kwiat, Kevin Electrical and Computer Engineering Department Virginia Tech BlacksburgVA United States Air Force Research Laboratory Information Directorate Cyber Assurance Branch RomeNY United States

Critical infrastructure protection (CIP) is envisioned to be one of the most challenging security problems in the coming decade. One key challenge in CIP is the ability to allocate resources, either personnel or cyber, to critical infrastructures with different vulnerability and criticality levels. In this work, a contract-theoretic approach is proposed to solve the problem of resource allocation in critical infrastructure with asymmetric information. A control center (CC) is used to design contracts and offer them to infrastructures' owners. A contract can be seen as an agreement between the CC and infrastructures using which the CC allocates resources and gets rewards in return. Contracts are designed in a way to maximize the CC's benefit and motivate each infrastructure to accept a contract and obtain proper resources for its protection. Infrastructures are defined by both vulnerability levels and criticality levels which are unknown to the CC. Therefore, each infrastructure can claim that it is the most vulnerable or critical to gain more resources. A novel mechanism is developed to handle such an asymmetric information while providing the optimal contract that motivates each infrastructure to reveal its actual type. The necessary and sufficient conditions for such resource allocation contracts under asymmetric information are derived. Simulation results show that the proposed contract-theoretic approach maximizes the CC's utility while ensuring that no infrastructure has an incentive to ask for another contract, despite the lack of exact information at the CC. Copyright © 2017, The Authors. All rights reserved.

关键词： Resource allocation

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Spin-orbit torque induced dipole skyrmion motion at room temperature

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Physical Review B 2018年第10期98卷 104432-104432页

作者： Sergio A. Montoya Robert Tolley Ian Gilbert Soong-Geun Je Mi-Young Im Eric E. Fullerton Space and Naval Warfare Systems Center Pacific San Diego California 92152 USA Center for Memory and Recording Research University of California La Jolla California 92093 USA Department of Electrical and Computer Engineering University of California La Jolla California 92093 USA Center for Nanoscale Science and Technology National Institute of Standards and Technology Gaithersburg Maryland 20899 USA Center for X-Ray Optics Lawrence Berkeley National Laboratory Berkeley California 94720 USA Department of Emerging Materials Science Daegu Gyeongbuk Institute of Science and Technology Daegu Korea

We demonstrate deterministic control of dipole-field-stabilized skyrmions by means of spin-orbit torques arising from heavy transition-metal seed layers. Experiments are performed on amorphous Fe/Gd multilayers that are patterned into wires and exhibit stripe domains and dipole skyrmions at room temperature. We show that while the domain walls and skyrmions are achiral on average due to lack of Dzyaloshinskii-Moriya interactions, the Néel-like closure domain walls at each surface are chiral and can couple to spin-orbit torques. The current-induced domain evolutions are reported for different magnetic phases, including disordered stripe domains, coexisting stripes and dipole skyrmions, and a close-packed dipole skyrmion lattice. The magnetic textures exhibit motion under current excitations with a current density ∼108A/m2. By comparing the motion resulting from magnetic spin textures in Fe/Gd films with different heavy transition-metal interfaces, we confirm spin currents can be used to manipulate achiral dipole skyrmions via spin-orbit torques. We further show the current-induced response of a dipole skyrmion lattice where skyrmions move in channels between pinned regions.

关键词： Skyrmions Spin torque

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Antiresonance-like behavior in carrier-envelope-phase-sensitive optical-field photoemission from plasmonic nanoantennas

arXiv

引用

arXiv 2018年

作者： Keathley, Phillip D. Putnam, W.P. Vasireddy, P. Hobbs, R.G. Yang, Y. Berggren, K.K. Kärtner, F.X. Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics Massachusetts Institute of Technology 77 Massachusetts Ave. CambridgeMA02139 United States Department of Physics Center for Ultrafast Imaging University of Hamburg Luruper Chaussee 149 Hamburg22761 Germany Northrop Grumman Corporation NG Next 1 Space Park Blvd. Redondo BeachCA90278 United States School of Chemistry Trinity College Dublin Dublin 2 Ireland Notkestraße 85 Hamburg22607 Germany

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54.3:Invited Paper:High photoinduced ordering and controllable photostability of hydrophilic azobenzene material based on relative humidity and its application in 2D polarization gratings

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SID Symposium Digest of Technical Papers 2019年第S1期50卷

作者： Yue Shi Chenxiang Zhao Jacob Yeuk-Lung Ho Feng Song Minggang Hu Vladimir G. Chigrinov Hoi-Sing Kwok Yan Jun Liu Xiao Wei Sun Dan Luo Department of Electrical and Electronic Engineering Southern University of Science and Technology No. 1088 Xueyuan Rd. Xili Nanshan District Shenzhen Guangdong 518055 China State Key Laboratory on Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong School of Physics Nankai University Weijin Road 94 Tianjin 300071 China Xi'an Modern Chemistry Research Institute Xi'an Shanxi 710065 China

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A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

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Computing and Software for Big Science 2020年第1期4卷 1-20页

作者： Sirunyan, A.M. Tumasyan, A. Adam, W. Ambrogi, F. Bergauer, T. Dragicevic, M. Erö, J. Valle, A. Escalante Del Flechl, M. Frühwirth, R. Jeitler, M. Krammer, N. Krätschmer, I. Liko, D. Madlener, T. Mikulec, I. Rad, N. Schieck, J. Schöfbeck, R. Spanring, M. Spitzbart, D. Waltenberger, W. Wulz, C.-E. Zarucki, M. Drugakov, V. Mossolov, V. Gonzalez, J. Suarez Darwish, M.R. De Wolf, E.A. Croce, D. Di Janssen, X. Lelek, A. Pieters, M. Sfar, H. Rejeb Haevermaet, H. Van Mechelen, P. Van Putte, S. Van Remortel, N. Van Blekman, F. Bols, E.S. Chhibra, S.S. D’Hondt, J. De Clercq, J. Lontkovskyi, D. Lowette, S. Marchesini, I. Moortgat, S. Python, Q. Skovpen, K. Tavernier, S. Doninck, W. Van Mulders, P. Van Beghin, D. Bilin, B. Clerbaux, B. De Lentdecker, G. Delannoy, H. Dorney, B. Favart, L. Grebenyuk, A. Kalsi, A.K. Popov, A. Postiau, N. Starling, E. Thomas, L. Velde, C. Vander Vanlaer, P. Vannerom, D. Cornelis, T. Dobur, D. Khvastunov, I. Niedziela, M. Roskas, C. Tytgat, M. Verbeke, W. Vermassen, B. Vit, M. Bondu, O. Bruno, G. Caputo, C. David, P. Delaere, C. Delcourt, M. Giammanco, A. Lemaitre, V. Prisciandaro, J. Saggio, A. Marono, M. Vidal Vischia, P. Zobec, J. Alves, F.L. Alves, G.A. Silva, G. Correia Hensel, C. Moraes, A. Teles, P. Rebello Chagas, E. Belchior Batista Das Carvalho, W. Chinellato, J. Coelho, E. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. De Oliveira Martins, C. De Souza, S. Fonseca Guativa, L. M. Huertas Malbouisson, H. Martins, J. Figueiredo, D. Matos Jaime, M. Medina De Almeida, M. Melo Herrera, C. Mora Mundim, L. Nogima, H. Da Silva, W. L. Prado Rosas, L. J. Sanchez Santoro, A. Sznajder, A. Thiel, M. Manganote, E. J. Tonelli Da Silva De Araujo, F. Torres Pereira, A. Vilela Bernardes, C.A. Calligaris, L. Tomei, T. R. Fernandez Perez Gregores, E.M. Lemos, D.S. Mercadante, P.G. Novaes, S.F. Padula, SandraS. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Rodozov, M. Shopova, M. Sultanov, G. Bonchev, M. Dimitrov, A. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Fang, W. Gao, X. Yuan, Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Wien Austria Institute for Nuclear Problems Minsk Belarus Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics University of Helsinki Helsinki Finland Helsinki Institute of Physics Helsinki Finland Lappeenranta University of Technology Lappeenranta Finland IRFU CEA Université Paris-Saclay Gif-sur-Yvette France Laboratoire Leprince-Ringuet CNRS/IN2P3 Ecole Polytechnique Institut Polytechnique de Paris Palaiseau France Université de Strasbourg CNRS IPH

We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of s=13TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb-1. A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ¯. © 2020, The Author(s).

关键词： b jets CMS Deep learning Higgs boson Jet energy Jet resolution

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