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arXiv 2018年

作者： Aaij, R. Abellán Beteta, C. Adeva, B. Adinolfi, M. Aidala, C.A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Alkhazov, G. Alvarez Cartelle, P. Alves, A.A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J.E. Archilli, F. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Back, J.J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R.J. Barrand, G.C. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battig, A. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L.J. Belin, S. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Bencivenni, G. Ben-Haim, E. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.O. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T.J.V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D.H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M.G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Cindolo, F. Clarke, P.E.L. Clemencic, M. Cliff, H.V. Closier, J. Coco, V. Coelho, J.A.B. Cogan, J. Cogneras, E. Cojocariu, L. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China University of Chinese Academy of Sciences Beijing China Beijing China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Université Clermont Auvergne CNRS/IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy INFN Sezione di Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania Gatchina Russia Moscow Russia Moscow Russia Moscow Russia Yandex School of Data Analysis Moscow Russia Novosibirsk Russia Protvino Russi

A search for CP violation in the Cabibbo-suppressed D0 → K+K−π+π− decay mode is performed using an amplitude analysis. The measurement uses a sample of pp collisions recorded by the LHCb experiment during 2011 and 2012, corresponding to an integrated luminosity of 3.0 fb−1. The D0 mesons are reconstructed from semileptonic b-hadron decays into D0µ−X final states. The selected sample contains more than 160 000 signal decays, allowing the most precise amplitude modelling of this D0 decay to date. The obtained amplitude model is used to perform the search for CP violation. The result is compatible with CP symmetry, with a sensitivity ranging from 1% to 15% depending on the amplitude considered. Copyright © 2018, The Authors. All rights reserved.

关键词： Supersymmetry

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Measurement of the branching fraction and CP asymmetry in B+→ J/ψρ+ decays

arXiv

引用

arXiv 2018年

作者： Aaij, R. Abellán Beteta, C. Adeva, B. Adinolfi, M. Aidala, C.A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Alkhazov, G. Alvarez Cartelle, P. Alves, A.A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J.E. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Back, J.J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R.J. Barrand, G.C. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battig, A. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L.J. Belin, S. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.O. van Beuzekom, M. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T.J.V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D.H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M.G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Clarke, P.E.L. Clemencic, M. Cliff, H.V. Closier, J. Coco, V. Coelho, J.A.B. Cogan, J. Cogneras, E. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China Beijing China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy INFN Sezione di Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania Gatchina Russia Moscow Russia Moscow Russia Moscow Russia Yandex School of Data Analysis Moscow Russia National Research University Higher School of Economics Moscow Russia Novosi

The branching fraction and direct CP asymmetry of the decay B+ → J/ψρ+ are measured using proton-proton collision data collected with the LHCb detector at centre-of-mass energies of 7 and 8 TeV, corresponding to a total integrated luminosity of 3 fb−1. The following results are obtained: B(B+ → J/ψρ+) = (3.81+0−0..2524 ± 0.35) × 10−5, ACP(B+ → J/ψρ+) = −0.045+0−0..056057 ± 0.008, where the first uncertainties are statistical and the second systematic. Both measurements are the most precise to date. Copyright © 2018, The Authors. All rights reserved.

关键词： High energy physics

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Study of the B0 → ρ(770)0K∗(892)0 decay with an amplitude analysis of B0 → (π+π−)(K+π−) decays

arXiv

引用

arXiv 2018年

作者： Aaij, R. Abellán Beteta, C. Adeva, B. Adinolfi, M. Aidala, C.A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Alkhazov, G. Alvarez Cartelle, P. Alves, A.A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J.E. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Back, J.J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R.J. Barrand, G.C. Barsuk, S. Barter, W. Bartolini, M. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battig, A. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L.J. Belin, S. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.O. van Beuzekom, M. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T.J.V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D.H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M.G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Cindolo, F. Clarke, P.E.L. Clemencic, M. Cliff, H.V. Closier, J. Coco, V. Coelho, J.A.B. Cogan, J. Cogneras, E. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China Beijing China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy INFN Sezione di Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania Gatchina Russia Moscow Russia Moscow Russia Moscow Russia Yandex School of Data Analysis Moscow Russia National Research University Higher School of Economics Moscow Russia Novosi

An amplitude analysis of B0 → (π+π−)(K+π−) decays is performed in the two-body invariant mass regions 300 +π−) 2, accounting for the ρ0, ω, f0(500), f0(980) and f0(1370) resonances, and 750 +π−) 2, which is dominated by the K∗(892)0 meson. The analysis uses 3 fb−1 of proton-proton collision data collected by the LHCb experiment at centre-of-mass energies of 7 and 8 TeV. The CP averages and asymmetries are measured for the magnitudes and phase differences of the contributing amplitudes. The CP-averaged longitudinal polarisation fractions of the vector-vector modes are found to be fρK0 ∗ = 0.164 ± 0.015 ± 0.022 and fωK0 ∗ = 0.68 ± 0.17 ± 0.16, and their CP asymmetries, A0ρK∗ = −0.62 ± 0.09 ± 0.09 and A0ωK∗ = −0.13 ± 0.27 ± 0.13, where the first uncertainty is statistical and the second systematic. Copyright © 2018, The Authors. All rights reserved.

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Measurement of the branching fractions of the decays D+ → K−K+K+, D+ → π−π+K+ and Ds+ → π−K+K+

arXiv

引用

arXiv 2018年

作者： Aaij, R. Abellán Beteta, C. Adeva, B. Adinolfi, M. Aidala, C.A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Alkhazov, G. Alvarez Cartelle, P. Alves, A.A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J.E. Appleby, R.B. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Back, J.J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R.J. Barsuk, S. Barter, W. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battig, A. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L.J. Belin, S. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.O. van Beuzekom, M. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T.J.V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D.H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M.G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Clarke, P.E.L. Clemencic, M. Cliff, H.V. Closier, J. Coco, V. Coelho, J.A.B. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy INFN Sezione di Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania Gatchina Russia Moscow Russia Moscow Russia Moscow Russia Yandex School of Data Analysis Moscow Russia Novosibirsk Russia Protvino Russia ICCUB Universitat de Barcelona Barcelona Spain Univ

The branching fractions of the doubly Cabibbo-suppressed decays D+ → K−K+K+, D+ → π−π+K+ and Ds+ → π−K+K+ are measured using the decays D+ → K−π+π+ and Ds+ → K−K+π+ as normalisation channels. The measurements are performed using proton-proton collision data collected with the LHCb detector at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 2.0 fb−1. The results are B ( D + → K - K + K + )B ( D + → K - π + π + ) = (6.541 ± 0.025 ± 0.042) × 10−4, B( D + → K - π + π + ) B( D + → π - π + K + ) = (5.231 ± 0.009 ± 0.023) × 10−3, B ( D s + → K - K + π + )B ( D s + → π - K + K + ) = (2.372 ± 0.024 ± 0.025) × 10−3, where the uncertainties are statistical and systematic, respectively. These are the most precise measurements up to date. Copyright © 2018, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Evidence for an ηc(1S)π− resonance in B0 → ηc(1S)K+π− decays

arXiv

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arXiv 2018年

作者： Aaij, R. Abellán Beteta, C. Adeva, B. Adinolfi, M. Aidala, C.A. Ajaltouni, Z. Akar, S. Albicocco, P. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Alkhazov, G. Alvarez Cartelle, P. Alves, A.A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J.E. Appleby, R.B. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Arzymatov, K. Aslanides, E. Atzeni, M. Audurier, B. Bachmann, S. Back, J.J. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R.J. Barsuk, S. Barter, W. Baryshnikov, F. Batozskaya, V. Batsukh, B. Battig, A. Battista, V. Bay, A. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L.J. Belin, S. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.O. van Beuzekom, M. Bezshyiko, Ia. Bhasin, S. Bhom, J. Bifani, S. Billoir, P. Birnkraut, A. Bizzeti, A. Bjørn, M. Blago, M.P. Blake, T. Blanc, F. Blusk, S. Bobulska, D. Bocci, V. Boente Garcia, O. Boettcher, T. Bondar, A. Bondar, N. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T.J.V. Bozzi, C. Braun, S. Brodski, M. Brodzicka, J. Brossa Gonzalo, A. Brundu, D. Buchanan, E. Buonaura, A. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D.H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M.G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chekalina, V. Chen, C. Chen, S. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Clarke, P.E.L. Clemencic, M. Cliff, H.V. Closier, J. Coco, V. Coelho, J.A.B. Cogan, J. Cogneras, E. Cojocariu, L. Rio de Janeiro Brazil Rio de Janeiro Brazil Center for High Energy Physics Tsinghua University Beijing China Beijing China Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IN2P3-LAPP Annecy France Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France LPNHE Sorbonne Université Paris Diderot Sorbonne Paris Cité CNRS/IN2P3 Paris France I. Physikalisches Institut RWTH Aachen University Aachen Germany Fakultät Physik Technische Universität Dortmund Dortmund Germany Heidelberg Germany Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany School of Physics University College Dublin Dublin Ireland INFN Sezione di Bari Bari Italy INFN Sezione di Bologna Bologna Italy INFN Sezione di Ferrara Ferrara Italy INFN Sezione di Firenze Firenze Italy INFN Laboratori Nazionali di Frascati Frascati Italy INFN Sezione di Genova Genova Italy INFN Sezione di Milano-Bicocca Milano Italy INFN Sezione di Milano Milano Italy INFN Sezione di Cagliari Monserrato Italy INFN Sezione di Padova Padova Italy INFN Sezione di Pisa Pisa Italy INFN Sezione di Roma Tor Vergata Roma Italy INFN Sezione di Roma La Sapienza Roma Italy Nikhef National Institute for Subatomic Physics Amsterdam Netherlands Nikhef National Institute for Subatomic Physics VU University Amsterdam Amsterdam Netherlands Henryk Niewodniczanski Institute of Nuclear Physics Polish Academy of Sciences Kraków Poland AGH - University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Warsaw Poland Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest-Magurele Romania Gatchina Russia Moscow Russia Moscow Russia Moscow Russia Yandex School of Data Analysis Moscow Russia Novosibirsk Russia Protvino Russia ICCUB Universitat de Barcelona Barcel

A Dalitz plot analysis of B0 → ηc(1S)K+π− decays is performed using data samples of pp collisions collected with the LHCb detector at centre-of-mass energies of √s = 7, 8 and 13 TeV, corresponding to a total integrated luminosity of 4.7 fb−1. A satisfactory description of the data is obtained when including a contribution representing an exotic ηc(1S)π− resonant state. The significance of this exotic resonance is more than three standard deviations, while its mass and width are 4096 ± 20 +18−22 MeV and 152 ± 58 +60−35 MeV, respectively. The spin-parity assignments JP = 0+ and JP = 1− are both consistent with the data. In addition, the first measurement of the B0 → ηc(1S)K+π− branching fraction is performed and gives B(B0 → ηc(1S)K+π−) = (5.73 ± 0.24 ± 0.13 ± 0.66) × 10−4, where the first uncertainty is statistical, the second systematic, and the third is due to limited knowledge of external branching fractions. Copyright © 2018, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Exploration of technology parameter values of integrated circuit technologies

Exploration of technology parameter values of integrated cir...

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International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

作者： Rodrigo Fonseca Rocha Soares Frank Sill Torres Dirk Timmermann Federal University of Minas Gerais Belo Horizonte MG BR Federal University of Minas Gerais Brazil Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany

The definition of parameters of integrated circuit technologies is driven by technological constraints as well as by intended applications. In case of the latter, opposing criteria, like design delay, power consumptions and area, have to be considered. Common approaches focus usually on the analysis based on selected and isolated cells. However, this might not represent the exact impact of a technology parameter on actual designs. Hence, this work proposes a flow for the exploration of technology parameter values that considers the application in real designs. Additionally, the proposed approach allows the comparison of different technology generation with a reasonable effort. Results indicate an improvement of the predictions of up to 46 % in comparison to single cell analysis. Further, the applicability of the approach is successfully evaluated using a predictive technology based on Carbon nanotubes.

关键词： Logic gates Delays CNTFETs Carbon nanotubes FinFETs

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New IEEE 11073 Standards for interoperable, networked Point-of-Care Medical Devices

New IEEE 11073 Standards for interoperable, networked Point-...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Martin Kasparick Stefan Schlichting Frank Golatowski Dirk Timmermann the Institute of Applied Microelectronics and Computer Engineering University of Rostock 18119 Rostock Germany Research Unit of Dragerwerk AG & Co. KGaA 23558 Lübeck Germany

ISBN: (纸本)9781424492695

Surgical procedures become more and more complex and the number of medical devices in an operating room (OR) increases continuously. Today's vendor-dependent solutions for integrated ORs are not able to handle this complexity. They can only form isolated solutions. Furthermore, high costs are a result of vendor-dependent approaches. Thus we present a service-oriented device communication for distributed medical systems that enables the integration and interconnection between medical devices among each other and to (medical) information systems, including plug-and-play functionality. This system will improve patient's safety by making technical complexity of a comprehensive integration manageable. It will be available as open standards that are part of the IEEE 11073 family of standards. The solution consists of a service-oriented communication technology, the so called Medical Devices Profile for Web Services (MDPWS), a Domain Information & Service Model, and a binding between the first two mechanisms. A proof of this concept has been done with demonstrators of real world OR devices.

关键词： OR MDPWS IEEE

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Medical DPWS: New IEEE 11073 standard for safe and interoperable medical device communication

Medical DPWS: New IEEE 11073 standard for safe and interoper...

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IEEE Conference on Standards for Communications and Networking (CSCN)

作者： Martin Kasparick Stefan Schlichting Frank Golatowski Dirk Timmermann Institute of Applied Microelectronics and Computer Engineering University of Rostock Germany Research Unit of Drägerwerk AG & Co. KGaA Lübeck Germany

The number of devices in an operation room (OR) and the complexity of the components and the overall system increases continuously. Today's vendor-dependent integrated ORs are expensive and not able to handle this complexity because they can only form isolated solutions. Thus a device communication for medical devices among each other and to medical information systems has to be based on open and vendor-independent standards. In this paper we will present new standards for networked Point-of-Care medical devices that will be part of the IEEE 11073 family of standards. A service-oriented device communication is defined by means of an architecture definition, a transport specification called Medical Devices Profile for Web Services (MDPWS), and a Domain Information & Service Model. The new system will make the complexity of a comprehensive OR integration manageable and thereby improve patient's safety. The focus of this paper is on MDPWS that enables a device communication for medical requirements and safety issues, like safe data transmission that will typically be used for safe remote control (dual channel and safety context), data streaming, and compact transmission. The suitability of the concept has been shown by a demonstrator with over 20 real world OR devices from more than 10 vendors.

关键词： Standards Biomedical imaging Object oriented modeling computer architecture Safety Biomedical monitoring

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A kad prototype for time synchronization in real-time automation scenarios

A kad prototype for time synchronization in real-time automa...

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World Telecommunications Congress 2014, WTC 2014

作者： Skodzik, Jan Altmann, Vlado Danielis, Peter Wall, Arne Timmermann, Dirk University of Rostock Institute of Applied Microelectronics and Computer Engineering Rostock18051 Germany

ISBN: (纸本)9783800736027

In this paper, a prototype to synchronize the Peer-to-Peer network Kad is presented. The approach bases on a deterministic algorithm, which is required for hard real-time applications, to synchronize the network in a decentralized manner. Existing industrial Ethernet solutions include and support real-time capable machine-to-machine communication in automation scenarios. However, the coordination of the communication and the synchronization to achieve hard real-time are managed by a central instance, leading to deficient resilience and scalability. Additionally, a centralized or hierarchical synchronization is required to enable the communication per se. The presented decentralized synchronization instead benefits from nodes helping to synchronize the network and bases on the decentralized structured Peer-to-Peer network Kad. However, the higher the number of helping nodes the higher is the time deviation on the nodes of the network, which contrary results in a higher time error. Therefore, a trade-off between synchronization performance and time error has to be determined to meet predefined constraints depending on the application scenario. Moreover, the individual clock drift of every device needs to be considered to define necessary re-synchronization intervals of the network. Theoretical values are compared to the measured values determined in experiments with 15 nodes. As a result of these experiments, the measured synchronization performance, which is the time needed to synchronize the complete network, confirms the theoretical worst case values. The result is a running prototype system, which is able to synchronize the network with a high performance in a decentralized manner. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Machine-to-machine communication

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Emulation of SDN-Supported Automation Networks

Emulation of SDN-Supported Automation Networks

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IEEE Conference on Emerging Technologies and Factory Automation

作者： Peter Danielis Vlado Altmann Jan Skodzik Eike Bjoern Schweissguth Frank Golatowski Dirk Timmermann University of Rostock Institute of Applied Microelectronics and Computer Engineering

ISBN: (纸本)9781467379304

Software-defined networking (SDN) is a principle for the flexible configuration of networks, which recently has aroused an increasing interest of researchers and companies. Today, the operation and configuration of networks as well as their adaptation to changing requirements represent a major challenge if legacy network management protocols are used due to their inability to provide network-wide configuration. Compatibility issues with legacy protocols or even proprietary protocols have further contributed to hardly reconfigurable and inefficient networks and thus prepare the way for the new concept called SDN. SDN implementations are mainly in the data center today. Implementations will find their way into broader networking applications over the next few years. However, even automation networks with highest QoS requirements can benefit from SDN support by achieving significantly more devices that meet these requirements. Therefore, this paper addresses the emulation of SDN-supported automation networks to examine possible design options. Limitations and possibilities when using the popular and widely accepted SDN emulator Mininet are analyzed.

关键词： simulating automation network Road Network configurations protocols

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