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arXiv 2018年

作者： Acharya, S. Acosta, F.T. Adamová, D. Adolfsson, J. Aggarwal, M.M. Aglieri Rinella, G. Agnello, M. Agrawal, N. Ahammed, Z. Ahn, S.U. Aiola, S. Akindinov, A. Al-Turany, M. Alam, S.N. Albuquerque, D.S.D. Aleksandrov, D. Alessandro, B. Alfaro Molina, R. Ali, Y. Alici, A. Alkin, A. Alme, J. Alt, T. Altenkamper, L. Altsybeev, I. Anaam, M.N. Andrei, C. Andreou, D. Andrews, H.A. Andronic, A. Angeletti, M. Anguelov, V. Anson, C. Antičić, T. Antinori, F. Antonioli, P. Anwar, R. Apadula, N. Aphecetche, L. Appelshäuser, H. Arcelli, S. Arnaldi, R. Arnold, O.W. Arsene, I.C. Arslandok, M. Audurier, B. Augustinus, A. Averbeck, R. Azmi, M.D. Badalà, A. Baek, Y.W. Bagnasco, S. Bailhache, R. Bala, R. Baldisseri, A. Ball, M. Baral, R.C. Barbano, A.M. Barbera, R. Barile, F. Barioglio, L. Barnaföldi, G.G. Barnby, L.S. Barret, V. Bartalini, P. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Batyunya, B. Batzing, P.C. Bazo Alba, J.L. Bearden, I.G. Beck, H. Bedda, C. Behera, N.K. Belikov, I. Bellini, F. Bello Martinez, H. Bellwied, R. Beltran, L.G.E. Belyaev, V. Bencedi, G. Beole, S. Bercuci, A. Berdnikov, Y. Berenyi, D. Bertens, R.A. Berzano, D. Betev, L. Bhaduri, P.P. Bhasin, A. Bhat, I.R. Bhatt, H. Bhattacharjee, B. Bhom, J. Bianchi, A. Bianchi, L. Bianchi, N. Bielčík, J. Bielčíková, J. Bilandzic, A. Biro, G. Biswas, R. Biswas, S. Blair, J.T. Blau, D. Blume, C. Boca, G. Bock, F. Bogdanov, A. Boldizsár, L. Bombara, M. Bonomi, G. Bonora, M. Borel, H. Borissov, A. Borri, M. Botta, E. Bourjau, C. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broker, T.A. Broz, M. Brucken, E.J. Bruna, E. Bruno, G.E. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Buncic, P. Busch, O. Buthelezi, Z. Butt, J.B. Buxton, J.T. Cabala, J. Caffarri, D. Caines, H. Caliva, A. Calvo Villar, E. Camacho, R.S. Camerini, P. Capon, A.A. Carena, F. Carena, W. Carnesecchi, F. Castillo Castellanos, J. Castro, A.J. Casula, E.A.R. Ceballos Sanchez, C. Dipartimento DET del Politecnico di Torino Turin Italy M.V. Lomonosov Moscow State University D.V. Skobeltsyn Institute of Nuclear Physics Moscow Russia Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Foundation Yerevan Armenia Benemérita Universidad Autónoma de Puebla Puebla Mexico Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India Budker Institute for Nuclear Physics Novosibirsk Russia California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Centre de Calcul de l’IN2P3 Villeurbanne Lyon France Havana Cuba Mexico City and Mérida Mexico Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi’ Rome Italy Chicago State University ChicagoIL United States China Institute of Atomic Energy Beijing China Chonbuk National University Jeonju Czech Republic Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Islamabad Pakistan Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Ohio State University ColumbusOH United States Department of Physics Pusan National University Pusan Czech Republic Department of Physics Sejong University Seoul Czech Republic Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica dell’Università’La Sapienza’ and Sezione INFN Rome Italy Dipartimento di Fisica dell’Università and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Università Sezione INFN Trieste Italy Dipartimento di Fisica dell’Università and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN B

The first measurement of e+e− pair production at mid-rapidity (|ηe| ee 2), the pair transverse momentum (pT,ee ee), i.e., the average distance of closest approach of the reconstructed electron and positron tracks to the collision vertex, normalised to its resolution. The results are compared with the expectations from a cocktail of known hadronic sources and are well described when PYTHIA is used to generate the heavy-flavour contributions. In the low-mass region (0.14 ee 2), prompt and non-prompt e+e− sources can be separated via the DCAee. In the intermediate-mass region (1.1 ee 2), a double-differential fit to the data in mee and pT,ee and a fit of the DCAee distribution allow the total cc and bb cross sections to be extracted. Two different event generators, PYTHIA and POWHEG, can reproduce the shape of the two-dimensional mee and pT,ee spectra, as well as the shape of the DCAee distribution, reasonably well. However, differences in the cc and bb cross sections are observed when using the generators to extrapolate to full phase space. Finally, the ratio of inclusive to decay photons is studied via the measurement of virtual direct photons in the transverse-momentum range 1 T Copyright © 2018, The Authors. All rights reserved.

关键词： Photons

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Inclusive J/ψ production in Xe–Xe collisions at √sNN = 5.44 TeV

arXiv

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arXiv 2018年

Inclusive J/ψ production is studied in Xe–Xe interactions at a centre-of-mass energy per nucleon pair of √sNN = 5.44 TeV, using the ALICE detector at the CERN LHC. The J/ψ meson is reconstructed via its decay into a muon pair, in the centre-of-mass rapidity interval 2.5 AA for inclusive J/ψ, measured in the centrality range 0–90% as well as in the centrality intervals 0–20% and 20–90% are presented. The RAA values are compared to previously published results for Pb–Pb collisions at √sNN = 5.02 TeV and to the calculation of a transport model. A good agreement is found between Xe–Xe and Pb–Pb results as well as between data and the model. Copyright © 2018, The Authors. All rights reserved.

关键词： Tellurium compounds

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Measurement of dielectron production in central Pb–Pb collisions at √sNN = 2.76 TeV

arXiv

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arXiv 2018年

作者： Acharya, S. Acosta, F.T. Adamová, D. Adolfsson, J. Aggarwal, M.M. Aglieri Rinella, G. Agnello, M. Agrawal, N. Ahammed, Z. Ahn, S.U. Aiola, S. Akindinov, A. Al-Turany, M. Alam, S.N. Albuquerque, D.S.D. Aleksandrov, D. Alessandro, B. Alfaro Molina, R. Ali, Y. Alici, A. Alkin, A. Alme, J. Alt, T. Altenkamper, L. Altsybeev, I. Anaam, M.N. Andrei, C. Andreou, D. Andrews, H.A. Andronic, A. Angeletti, M. Anguelov, V. Anson, C. Antičić, T. Antinori, F. Antonioli, P. Anwar, R. Apadula, N. Aphecetche, L. Appelshäuser, H. Arcelli, S. Arnaldi, R. Arnold, O.W. Arsene, I.C. Arslandok, M. Augustinus, A. Averbeck, R. Azmi, M.D. Badalà, A. Baek, Y.W. Bagnasco, S. Bailhache, R. Bala, R. Baldisseri, A. Ball, M. Baral, R.C. Barbano, A.M. Barbera, R. Barile, F. Barioglio, L. Barnaföldi, G.G. Barnby, L.S. Barret, V. Bartalini, P. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Batyunya, B. Batzing, P.C. Bazo Alba, J.L. Bearden, I.G. Beck, H. Bedda, C. Behera, N.K. Belikov, I. Bellini, F. Bello Martinez, H. Bellwied, R. Beltran, L.G.E. Belyaev, V. Bencedi, G. Beole, S. Bercuci, A. Berdnikov, Y. Berenyi, D. Bertens, R.A. Berzano, D. Betev, L. Bhaduri, P.P. Bhasin, A. Bhat, I.R. Bhatt, H. Bhattacharjee, B. Bhom, J. Bianchi, A. Bianchi, L. Bianchi, N. Bielčík, J. Bielčíková, J. Bilandzic, A. Biro, G. Biswas, R. Biswas, S. Blair, J.T. Blau, D. Blume, C. Boca, G. Bock, F. Bogdanov, A. Boldizsár, L. Bombara, M. Bonomi, G. Bonora, M. Borel, H. Borissov, A. Borri, M. Botta, E. Bourjau, C. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broker, T.A. Broz, M. Brucken, E.J. Bruna, E. Bruno, G.E. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Buncic, P. Busch, O. Buthelezi, Z. Butt, J.B. Buxton, J.T. Cabala, J. Caffarri, D. Caines, H. Caliva, A. Calvo Villar, E. Camacho, R.S. Camerini, P. Capon, A.A. Carena, F. Carena, W. Carnesecchi, F. Castillo Castellanos, J. Castro, A.J. Casula, E.A.R. Ceballos Sanchez, C. Chandra, S. Deceased Dipartimento DET del Politecnico di Torino Turin Italy M.V. Lomonosov Moscow State University D.V. Skobeltsyn Institute of Nuclear Physics Moscow Russia Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Foundation Yerevan Armenia Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India Budker Institute for Nuclear Physics Novosibirsk Russia California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Centre de Calcul de l’IN2P3 Villeurbanne Lyon France Havana Cuba Mexico City and Mérida Mexico Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi’ Rome Italy Chicago State University ChicagoIL United States China Institute of Atomic Energy Beijing China Chonbuk National University Jeonju Korea Republic of Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Islamabad Pakistan Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Pusan National University Pusan Korea Republic of Department of Physics Sejong University Seoul Korea Republic of Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica dell’Università’La Sapienza’ and Sezione INFN Rome Italy Dipartimento di Fisica dell’Università and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Università Sezione INFN Trieste Italy Dipartimento di Fisica dell’Università and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Bologna Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Catania Italy Dipartimento d

The first measurement of dielectron (e+e−) production in central (0−10%) Pb–Pb collisions at √sNN = 2.76 TeV at the LHC is presented. The dielectron invariant-mass spectrum is compared to the expected contributions from hadron decays in the invariant-mass range 0 ee 2. The ratio of data and the cocktail of hadronic contributions without vacuum ρ0 is measured in the invariant-mass range 0.15 ee 2, where an excess of dielectrons is observed in other experiments, and its value is 1.40 ± 0.28 (stat.) ± 0.08 (syst.) ± 0.27 (cocktail). The dielectron spectrum measured in the invariant mass range 0 ee 2 is consistent with the predictions from two theoretical model calculations that include thermal dielectron production from both partonic and hadronic phases with in-medium broadened ρ0 meson. The fraction of direct virtual photons over inclusive virtual photons is extracted for dielectron pairs with invariant mass 0.1 ee 2, and in the transverse-momentum intervals 1 T,ee T,ee Copyright © 2018, The Authors. All rights reserved.

关键词： Mass spectrometry

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Real-time data processing in the ALICE High Level Trigger at the LHC

arXiv

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arXiv 2018年

作者： Acharya, S. Acosta, F.T. Adamová, D. Adhya, S.P. Adler, A. Adolfsson, J. Aggarwal, M.M. Rinella, G. Aglieri Agnello, M. Ahammed, Z. Ahmad, S. Ahn, S.U. Aiola, S. Akindinov, A. Al-Turany, M. Alam, S.N. Albuquerque, D.S.D. Aleksandrov, D. Alessandro, B. Alfanda, H.M. Molina, R. Alfaro Ali, B. Ali, Y. Alici, A. Alkin, A. Alme, J. Alt, T. Altenkamper, L. Altsybeev, I. Anaam, M.N. Andrei, C. Andreou, D. Andrews, H.A. Andronic, A. Angeletti, M. Anguelov, V. Anson, C. Antičić, T. Antinori, F. Antonioli, P. Anwar, R. Apadula, N. Aphecetche, L. Appelshäuser, H. Arcelli, S. Arnaldi, R. Arratia, M. Arsene, I.C. Arslandok, M. Augustinus, A. Averbeck, R. Azmi, M.D. Bach, M. Badalà, A. Baek, Y.W. Bagnasco, S. Bailhache, R. Bala, R. Baldisseri, A. Ball, M. Baral, R.C. Barbera, R. Barioglio, L. Barnaföldi, G.G. Barnby, L.S. Barret, V. Bartalini, P. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Batyunya, B. Batzing, P.C. Bauri, D. Alba, J.L. Bazo Bearden, I.G. Becker, B. Bedda, C. Behera, N.K. Belikov, I. Bellini, F. Martinez, H. Bello Bellwied, R. Beltran, L.G.E. Belyaev, V. Bencedi, G. Beole, S. Bercuci, A. Berdnikov, Y. Berenyi, D. Bertens, R.A. Berzano, D. Betev, L. Bhasin, A. Bhat, I.R. Bhatt, H. Bhattacharjee, B. Bianchi, A. Bianchi, L. Bianchi, N. Bielčík, J. Bielčíková, J. Bilandzic, A. Biro, G. Biswas, R. Biswas, S. Blair, J.T. Blau, D. Blume, C. Boca, G. Bock, F. Boetteger, S. Bogdanov, A. Boldizsár, L. Bolozdynya, A. Bombara, M. Bonomi, G. Bonora, M. Borel, H. Borissov, A. Borri, M. Botta, E. Bourjau, C. Bratrud, L. Braun-Munzinger, P. Bregant, M. Breitener, T.G. Broker, T.A. Broz, M. Brucken, E.J. Bruna, E. Bruno, G.E. Buckland, M.D. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Buncic, P. Busch, O. Buthelezi, Z. Butt, J.B. Buxton, J.T. Caffarri, D. Caines, H. Caliva, A. Villar, E. Calvo Camacho, R.S. Camerini, P. Capon, A.A. Carnesecchi, F. Castellanos, J. Castillo Castro, A.J. Casula, E.A.R. Dipartimento DET del Politecnico di Torino Turin Italy M.V. Lomonosov Moscow State University D.V. Skobeltsyn Institute of Nuclear Physics Moscow Russia Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Foundation Yerevan Armenia Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India Budker Institute for Nuclear Physics Novosibirsk Russia California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Centre de Calcul de l’IN2P3 Villeurbanne Lyon France Havana Cuba Mexico City and Mérida Mexico Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi’ Rome Italy Chicago State University ChicagoIL United States China Institute of Atomic Energy Beijing China Chonbuk National University Jeonju Korea Republic of Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Islamabad Pakistan Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Pusan National University Pusan Korea Republic of Department of Physics Sejong University Seoul Korea Republic of Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica dell’Università’La Sapienza’ and Sezione INFN Rome Italy Dipartimento di Fisica dell’Università and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Università Sezione INFN Trieste Italy Dipartimento di Fisica dell’Università and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Bologna Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Catania Italy Dipartimento di Fisica

At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/s. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-time time-dependent detector calibration. The online data compression techniques developed and used in the ALICE HLT have more than quadrupled the amount of data that can be stored for offline event processing. Copyright © 2018, The Authors. All rights reserved.

关键词： Charged particles

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Methods for improving the accuracy of sensors with a significant influence of non-informative factors

Methods for improving the accuracy of sensors with a signifi...

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IEEE Sensors Applications Symposium, SAS

作者： Jun Su Nataliia Roshchupkina Volodymyr Kochan Oleksiy Roshchupkin Anatoliy Sachenko School of Computer Science Hubei University of Technology Wuhan China Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Chernivtsi National University Chernivtsi Ukraine Department of Computer Science and Econometrics Silesian University of Technology Gliwice Poland Research Institute for Intelligent Computer Systems Ternopil National Economic University Ternopil Ukraine

During influence of non-informative factors on the sensors signals it is necessary to improve its accuracy. In this paper it described the reduction method of calibration points of multi sensors which allow significantly reduce the amount of calibration points which led the transition to individual transfer functions of such sensors and also is not too labor consuming. It is proposed the generalized block diagram of the system which provides the sensors signal processing. It is proposed the methods of providing sensors interchangeability. Also it is proposed the generalized scheme of the data transfer of measured physical quantities. The proposed solutions provide a base for improving the accuracy of sensors with a significant influence of non-informative factors.

关键词： Calibration Training Temperature measurement Semiconductor device measurement Artificial neural networks Sensor systems

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Charged-particle pseudorapidity density at mid-rapidity in p–Pb collisions at √sNN NN NN = 8.16 TeV

arXiv

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arXiv 2018年

作者： Acharya, S. Acosta, F.T. Adamová, D. Adhya, S.P. Adler, A. Adolfsson, J. Aggarwal, M.M. Aglieri Rinella, G. Agnello, M. Ahammed, Z. Ahmad, S. Ahn, S.U. Aiola, S. Akindinov, A. Al-Turany, M. Alam, S.N. Albuquerque, D.S.D. Aleksandrov, D. Alessandro, B. Alfanda, H.M. Molina, R. Alfaro Ali, Y. Alici, A. Alkin, A. Alme, J. Alt, T. Altenkamper, L. Altsybeev, I. Anaam, M.N. Andrei, C. Andreou, D. Andrews, H.A. Andronic, A. Angeletti, M. Anguelov, V. Anson, C. Antičić, T. Antinori, F. Antonioli, P. Anwar, R. Apadula, N. Aphecetche, L. Appelshäuser, H. Arcelli, S. Arnaldi, R. Arratia, M. Arsene, I.C. Arslandok, M. Augustinus, A. Averbeck, R. Azmi, M.D. Badalà, A. Baek, Y.W. Bagnasco, S. Bailhache, R. Bala, R. Baldisseri, A. Ball, M. Baral, R.C. Barbera, R. Barioglio, L. Barnaföldi, G.G. Barnby, L.S. Barret, V. Bartalini, P. Barth, K. Bartsch, E. Bastid, N. Basu, S. Batigne, G. Batyunya, B. Batzing, P.C. Bauri, D. Bazo Alba, J.L. Bearden, I.G. Beck, H. Bedda, C. Behera, N.K. Belikov, I. Bellini, F. Bello Martinez, H. Bellwied, R. Beltran, L.G.E. Belyaev, V. Bencedi, G. Beole, S. Bercuci, A. Berdnikov, Y. Berenyi, D. Bertens, R.A. Berzano, D. Betev, L. Bhasin, A. Bhat, I.R. Bhatt, H. Bhattacharjee, B. Bianchi, A. Bianchi, L. Bianchi, N. Bielčík, J. Bielčíková, J. Bilandzic, A. Biro, G. Biswas, R. Biswas, S. Blair, J.T. Blau, D. Blume, C. Boca, G. Bock, F. Bogdanov, A. Boldizsár, L. Bolozdynya, A. Bombara, M. Bonomi, G. Bonora, M. Borel, H. Borissov, A. Borri, M. Botta, E. Bourjau, C. Bratrud, L. Braun-Munzinger, P. Bregant, M. Broker, T.A. Broz, M. Brucken, E.J. Bruna, E. Bruno, G.E. Budnikov, D. Buesching, H. Bufalino, S. Buhler, P. Buncic, P. Buthelezi, Z. Butt, J.B. Buxton, J.T. Cabala, J. Caffarri, D. Caines, H. Caliva, A. Calvo Villar, E. Camacho, R.S. Camerini, P. Capon, A.A. Carnesecchi, F. Castillo Castellanos, J. Castro, A.J. Casula, E.A.R. Ceballos Sanchez, C. Chakraborty, P. Chandra, S. Dipartimento DET del Politecnico di Torino Turin Italy M.V. Lomonosov Moscow State University D.V. Skobeltsyn Institute of Nuclear Physics Moscow Russia Department of Applied Physics Aligarh Muslim University Aligarh India Institute of Theoretical Physics University of Wroclaw Poland Foundation Yerevan Armenia Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Kolkata India Budker Institute for Nuclear Physics Novosibirsk Russia California Polytechnic State University San Luis ObispoCA United States Central China Normal University Wuhan China Centre de Calcul de l’IN2P3 Villeurbanne Lyon France Havana Cuba Mexico City and Mérida Mexico Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche "Enrico Fermi’ Rome Italy Chicago State University ChicagoIL United States China Institute of Atomic Energy Beijing China Chonbuk National University Jeonju Korea Republic of Comenius University Bratislava Faculty of Mathematics Physics and Informatics Bratislava Slovakia Islamabad Pakistan Creighton University OmahaNE United States Department of Physics Aligarh Muslim University Aligarh India Department of Physics Pusan National University Pusan Czech Republic Department of Physics Sejong University Seoul Czech Republic Department of Physics University of California BerkeleyCA United States Department of Physics University of Oslo Oslo Norway Department of Physics and Technology University of Bergen Bergen Norway Dipartimento di Fisica dell’Università’La Sapienza’ and Sezione INFN Rome Italy Dipartimento di Fisica dell’Università and Sezione INFN Cagliari Italy Dipartimento di Fisica dell’Università Sezione INFN Trieste Italy Dipartimento di Fisica dell’Università and Sezione INFN Turin Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Bologna Italy Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Catania Italy Dipartimento di Fisica e Astron

The pseudorapidity density of charged particles, dNch/dη, in p–Pb collisions has been measured at a centre-of-mass energy per nucleon-nucleon pair of √sNN = 8.16 TeV at mid-pseudorapidity for non-single-diffractive events. The results cover 3.6 units of pseudorapidity, |η| ch/dη value is 19.1 ±0.7 at |η| parti/2 is 4.73 ±0.20, where hNpartiis the average number of participating nucleons, is 9.5% higher than the corresponding value for p–Pb collisions at √sNN = 5.02 TeV. Measurements are compared with models based on different mechanisms for particle production. All models agree within uncertainties with data in the Pb-going side, while HIJING overestimates, showing a symmetric behaviour, and EPOS underestimates the p-going side of the dNch/dη distribution. Saturation-based models reproduce the distributions well for η > −1.3. The dNch/dη is also measured for different centrality estimators, based both on the charged-particle multiplicity and on the energy deposited in the Zero-Degree Calorimeters. A study of the implications of the large multiplicity fluctuations due to the small number of participants for systems like p–Pb in the centrality calculation for multiplicity-based estimators is discussed, demonstrating the advantages of determining the centrality with energy deposited near beam rapidity. Copyright © 2018, The Authors. All rights reserved.

关键词： Charged particles

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data Acquisition System with Low-Accuracy Sensors

Data Acquisition System with Low-Accuracy Sensors

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International Conference on Development and Application Systems

作者： Su JUN Oleksiy Roshchupkin Volodymyr KOCHAN Anatoliy SACHENKO Nataliia ROSHCHUPKINA School of Computer Science Hubei University of Technology Wuhan China Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Research Institute of Intelligent Computer Systems Ternopil National Economic University Ternopil Ukraine Department of Computer Science and Econometrics Silesian University of Technology Gliwice Poland Computer System and Network Department Chernivtsi National University Chernivtsi Ukraine

ISBN: (纸本)9781509019946

The paper deals with improving the accuracy of the sensors under influence of non-informative factors. There are described the generalized block diagram of the data acquisition system and its measurement channels which provide the sensors signal processing. The generalized block diagram of the calculation process is proposed, and the structure of used neural networks is shown. Both scheme and algorithm of data processing are described. The measurement error of the proposed system was evaluated. It confirmed that proposed system adds the error of 0.32% which is very small in comparison with the etalon mean of 1%. The proposed system allows use of the sensors with a significant influence of non-informative factors.

关键词： Multisensor Sensor Neural Network Individual Transfer Function data Acquisition System Measuring Channels Algorithm

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Analysis of 1/f noise for polycrystalline silicon TFTs considering mobility power-law parameter

Analysis of 1/f noise for polycrystalline silicon TFTs consi...

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IEEE International Nanoelectronics Conference (INEC)

作者： Hongyu He Yuan Liu Hao Wang Xinnan Lin Xueren Zheng Shengdong Zhang School of Electrical Engineering University of South China Hengyang China School of Electronic and Computer Engineering Shenzhen Graduate School Shenzhen China Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Produce Reliability and Environmental Testing Research Institute Guangzhou China School of Physics and Technology Wuhan University Wuhan China School of Electronic and Information Engineering South China University of Technology Guangzhou China

The 1/f noise characteristics are analyzed for the polycrystalline silicon (poly-Si) thin-film transistors (TFTs) in both subthreshold regime and above-threshold regime. Based on carrier number fluctuation model, our previous 1/f noise model for the amorphous InGaZnO TFTs is applied to the poly-Si TFTs considering mobility power-law parameter. The mobility power-law parameter determines the relationship between normalized drain current noise power spectral density (PSD) and drain current. The relationship is verified by the available experimental data.

关键词： Silicon Thin film transistors Logic gates Low-frequency noise Insulators

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Road network modeling with layered abstraction for path discovery in vehicle navigation systems

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Journal of Information Hiding and Multimedia Signal Processing 2016年第4期7卷 791-801页

作者： Pan, Jeng-Shyang Wang, Chen Sung, Tien-Wen Fuzhou College of Foreign Studies and Trade No. 28 Yuhuan Road Changle Fuzhou CityFujian Province350202 China Innovative Information Industry Research Center Harbin Institute of Technology Shenzhen Graduate School University Town Shenzhen City518055 China College of Information Science and Engineering Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No. 3 Xueyuan Road Fuzhou CityFujian Province350118 China

Algorithms for path planning have recently drawn renewed attention from researchers due to the advances of intelligent transportation applications. The difference on path planning between past and nowadays is the complexity of dynamic transportation network. This paper focuses on the road network modeling to speed up real time path discovery in dynamic and complex road networks. On the basis of community detection (partitioning), an agglomerative hierarchical clustering algorithm with greedy strategy is proposed in this paper. The algorithm performs a hierarchical network abstraction to make a layered road network with largest community modularity. Static and dynamic information of the real time road network conditions is concerned in the process of network abstraction. Based on the road network layering, the performance of path discovery can be improved due to the reduction of unnecessary searching. The performance of the proposed algorithm was evaluated and compared with the well-known Dijkstra and A-star algorithms. The result shows that the proposed algorithm performs better than the other two algorithms. © 2016.

关键词： Motion planning

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Surface characteristics at Dome A, Antarctica: first measurements and a guide to future ice-coring sites

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Annals of Glaciology 2017年 48卷 82-87页

作者： Xiao Cunde Li Yuansheng Ian Allison Hou Shugui Gabrielle Dreyfus Jean-Marc Barnola Ren Jiawen Bian Lingen Zhang Shenkai Takao Kameda State Key Laboratory of Cryospheric Science Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 ChinaE-mail: cdxiao@*** Chinese Academy of Meteorological Sciences 46 Zhongguancun South Avenue Beijing 100081 China Polar Research Institute of China Shanghai 200129 China Australian Antarctic Division and Antarctic Climate and Ecosystems CRC Private Bag 80 Hobart Tasmania 7001 Australia Laboratoire des Sciences du Climat et de l’Environnement Institut Pierre-Simon Laplace CEA–CNRS–Université de Versailles Saint-Quentin 91191 Gif-sur-Yvette Cedex France Laboratoire de Glaciologie et Géophysique de l’Environnement du CNRS (associé à l’Université Joseph Fourier–Grenoble I) 54 rue Molière BP 96 38402 Saint-Martin-d’Hères Cedex France Chinese Antarctic Center of Surveying and Mapping School of Geodesy and Geomatics Wuhan University 129 Luoyu Road Wuhan 430079 China Kitami Institute of Technology Koen-cho 165 Kitami 090-8507 Japan

An assessment of the glaciological and meteorological characteristics of Dome A, the summit of the East Antarctic ice sheet, is made based on field investigations during the austral summer of 2004/05. Knowledge of these characteristics is critical for future international studies such as deep ice-core drilling. The assessment shows that: (1) Dome A is characterized by a very low 10m depth firn temperature, –58.3˚C (nearly 3˚C lower than at EPICA Dome C and 1˚C lower than at Vostok). (2) Automatic weather station (AWS) measurements of snow surface height and reference layers in a snow pit indicate the present-day snow accumulation rate at Dome A is within the range 1–3cmw.e. a–1. Densification models suggest a range of 1–2cmw.e. a–1. This is lower than at other sites along the ice divide of East Antarctica (IDEA). Annual layers at Dome A are thus potentially thinner than at other sites, so that a longer record is preserved in a given ice thickness. (3) The average wind speed observed at Dome A (<4ms–1) is lower than at other sites along IDEA. Together, these parameters, combined with radio-echo sounding data and information on the subglacial drainage distribution beneath Dome A, suggest Dome A as a candidate site for obtaining the oldest ice core.

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