323 research outputs found
Odderon Exchange from Elastic Scattering Differences between pp and ppâ Data at 1.96 TeV and from pp Forward Scattering Measurements
- Author
- Abazov V. M.
- Abbott B.
- Acharya B. S.
- Adams M.
- Adams T.
- Agnew J. P.
- Alexeev G. D.
- Alkhazov G.
- Alton A.
- Alves G. A.
- Antchev G.
- Askew A.
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- Atanassov I.
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- Augsten K.
- Aushev V.
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- Avati V.
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- Baldenegro Barrera C.
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- Burkhardt H.
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- Cafagna F. S.
- Camacho-Perez Enrique
- Carvahlo W.
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- Castilla-Valdez H.
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- Chandra A.
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- Cousinou M.-C.
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- CsörgĆ T.
- Cuth J.
- Cutts D.
- D0 Collaboration
- da Motta H.
- Da Silva W. L. Prado
- Das A.
- Davies G.
- de Jong S. J.
- De La Cruz-Burelo E.
- De Leonardis F.
- De Oliveira Martins C.
- Deile M.
- Demina R.
- Denisov D.
- Denisov S. P.
- Desai S.
- Deterre C.
- DeVaughan K.
- Diehl H. T.
- Diesburg M.
- Ding P. F.
- Dominguez A.
- Doubek M.
- Drutskoy A.
- Druzhkin D.
- Dubey A.
- Dudko L. V.
- Duperrin A.
- Dutt S.
- DĂ©liot F.
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- Edmunds D.
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- Elvira V. D.
- Enari Y.
- Eremin V.
- Evans H.
- Evdokimov A.
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- Forthomme L.
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- Franc J.
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- Gavrilov V.
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- Georgiev V.
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- Gogota O.
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- Taylor C.
- Tcherniaev E.
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- Tokmenin V. V.
- TOTEM Collaboration
- Tsai Y.-T.
- Tsybychev D.
- Tuchming B.
- Tully C.
- Turini N.
- Urban O.
- Uvarov L.
- Uvarov S.
- Uzunyan S.
- Vacek V.
- Van Kooten R.
- van Leeuwen W. M.
- Varelas N.
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- Vasilyev I. A.
- Vavroch O.
- Verkheev A. Y.
- Vertogradov L. S.
- Verzocchi M.
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- Vilanova D.
- Vokac P.
- Wahl H. D.
- Wang C.
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- Watts G.
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- Weichert J.
- Welti J.
- Welty-Rieger L.
- Williams J.
- Williams M. R. J.
- Wilson G. W.
- Wobisch M.
- Wood D. R.
- Wyatt T. R.
- Xie Y.
- Yamada R.
- Yang S.
- Yasuda T.
- Yatsunenko Y. A.
- Ye W.
- Ye Z.
- Yin H.
- Yip K.
- Youn S. W.
- Yu J. M.
- Zennamo J.
- Zhao T. G.
- Zhou B.
- Zhu J.
- Zich J.
- Zielinski K.
- Zielinski M.
- Zieminska D.
- Zivkovic L.
- Ăsterberg K.
- Publication venue
- American Physical Society
- Publication date
- 01/01/2021
- Field of study
We describe an analysis comparing the pÂŻp elastic cross section as measured by the D0 Collaboration at a center-of-mass energy of 1.96 TeV to that in pp collisions as measured by the TOTEM Collaboration at 2.76, 7, 8, and 13 TeV using a model-independent approach. The TOTEM crosssections, extrapolated to a center-of-mass energy of âs=1.96ââTeV, are compared with the D0 measurement in the region of the diffractive minimum and the second maximum of the pp cross section. The two data sets disagree at the 3.4Ï level and thus provide evidence for the t-channel exchange of a colorless, C-odd gluonic compound, also known as the odderon. We combine these results with a TOTEM analysis of the same C-odd exchange based on the total cross section and the ratio of the real to imaginary parts of the forward elastic strong interaction scatteringamplitude in pp scattering for which the significance is between 3.4Ï and 4.6Ï. The combined significance is larger than 5Ï and is interpreted as the first observation of the exchange of a colorless, C-odd gluonic compound
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
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- Publication venue
- UND Scholarly Commons
- Publication date
- 03/12/2020
- Field of study
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of 7.2Ă 6.1Ă 7.0 m3. It is installed at the CERN Neutrino Platform in a specially-constructed beam that delivers charged pions, kaons, protons, muons and electrons with momenta in the range 0.3 GeV/c to 7 GeV/c. Beam line instrumentation provides accurate momentum measurements and particle identification. The ProtoDUNE-SP detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment, and it incorporates full-size components as designed for that module. This paper describes the beam line, the time projection chamber, the photon detectors, the cosmic-ray tagger, the signal processing and particle reconstruction. It presents the first results on ProtoDUNE-SP\u27s performance, including noise and gain measurements, dE/dx calibration for muons, protons, pions and electrons, drift electron lifetime measurements, and photon detector noise, signal sensitivity and time resolution measurements. The measured values meet or exceed the specifications for the DUNE far detector, in several cases by large margins. ProtoDUNE-SP\u27s successful operation starting in 2018 and its production of large samples of high-quality data demonstrate the effectiveness of the single-phase far detector design
Research and Development for Near Detector Systems Towards Long Term Evolution of Ultra-precise Long-baseline Neutrino Experiments
- Author
- Alvarez-Ruso Luis
- Andreopoulos Constantinos
- Andrieu Bernard
- Arbuzov Andrey
- Asaadi Jonathan
- Barbaro Maria Benedetta
- Benekos Nectarios
- Benhar Omar
- Bernardini Paolo
- Bertolucci Sergio
- Bhatnagar Vipin
- Bian Jianming
- Bilki Burak
- Blondel Alain
- Blucher Edward
- Bolognesi Sara
- Bolton Timothy Alan
- Bonesini Maurizio
- Bordoni Stefania
- Bross Alan David
- Buescher Volker
- Caballero Juan Antonio
- Catanesi Gabriella
- Christodoulou Georgios
- Collazuol Gianmaria
- Dennis Stephen Robert
- Diaz Diego Gonzalez
- Diwan Milind Vaman
- Dracos Marcos
- Ekelof Tord
- Ekelof Tord Johan Carl
- Ereditato Antonio
- Fernandez Pablo
- Ferraro Federico
- Gamazo Maria Pilar Hernandez
- Giganti Claudio
- Hallsjo Sven-Patrik
- Hartz Mark
- Hasegawa Takuya
- Hayato Yoshinari
- Horton-Smith Glenn
- Jachowicz Natalie
- Jermyn Paul Soler
- Jung Chang Kee
- Katori Teppei
- Kose Umut
- Kudenko Yury
- Kudenko Yury
- Lodovico Francesca Di
- Lokajicek Milos
- Long Kenneth Richard
- Longhin Andrea
- Lux Thorsten
- Maneira Jose Carvalho
- Manly Steven
- Mariani Camillo
- Martini Marco
- Masetti Lucia
- Mauri Nicoletta
- Megias Guilermo Daniel
- Meloni Davide
- Mermod Philippe
- Messomo Etam Noah
- Mishra Sanjib
- Mosel Ulrich
- Mosel Ulrich
- Nachtman Jane
- Nagai Yoshikazu
- Nessi Marzio
- Noto Lea Di
- Onel Yasar
- Palladino Vittorio
- Pallavicini Marco
- Pandey Vishvas
- Paolone Vittorio
- Patrizi Laura
- Patrizii Laura
- Penzo Aldo
- Petti Roberto
- Popov Boris
- Potekhin Maxim
- Radicioni Emilio
- Ricciardi Giulia
- Riccio Ciro
- Roda Marco
- Roe Byron
- Roeck Albert De
- Rosa Gianfranca De
- Roth Stefan
- Ruiz Ignacio
- Sala Paola
- Salamanna Giuseppe
- Sanchez Federico
- Sgalaberna Davide
- Simon Frank Richard
- Sinclair James
- Sobczyk Jan
- Sobczyk Jan
- Stanco Luca
- Stipcevi Mario
- Surdo Antonio
- Tenti Matteo
- Terranova Francesco
- Thomson Mark Andrew
- Topaksu Aysel Kayis
- Touramanis Christos
- Tsenov Roumen
- Weber Alfons
- Whitehead Leigh Howard
- Wilking Michael Joseph
- Wurm Michael
- Yokoyama Masashi
- Zeyrek Mehmet
- Zito Marco
- Publication venue
- Publication date
- 01/01/2019
- Field of study
With the discovery of non-zero value of Ξ13â mixing angle, the next generation of long-baseline neutrino (LBN) experiments offers the possibility of obtaining statistically significant samples of muon and electron neutrinos and anti-neutrinos with large oscillation effects. In this document we intend to highlight the importance of Near Detector facilities in LBN experiments to both constrain the systematic uncertainties affecting oscillation analyses but also to perform, thanks to their close location, measurements of broad benefit for LBN physics goals. A strong European contribution to these efforts is possible
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
- Author
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- Abud A Abed
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- Adames MR
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- Alion T
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- Alonso MJ Rodriguez
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- Alt C
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- Alvarez R
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- Andreopoulos C
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- Antusch S
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- Arnold LO
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- Beigbeder C
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- Beltramello O
- Benekos N
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- Berger J
- Berkman S
- Bermeo L Gomez
- Bernardini P
- Berner RM
- Bersani A
- Bertolucci S
- Betancourt M
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- Bezerra TS
- Bhardwaj A
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- Bross A
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- Caiulo D
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- Publication venue
- Publication date
- 01/01/2022
- Field of study
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between data and simulation
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
- Author
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- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2022
- Field of study
Liquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation
Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network
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- Abud A. Abed
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- Acero M. A.
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- Aguilar J.
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- Publication venue
- Publication date
- 01/01/2022
- Field of study
Liquid argon time projection chamber detector technology provides high
spatial and calorimetric resolutions on the charged particles traversing liquid
argon. As a result, the technology has been used in a number of recent neutrino
experiments, and is the technology of choice for the Deep Underground Neutrino
Experiment (DUNE). In order to perform high precision measurements of neutrinos
in the detector, final state particles need to be effectively identified, and
their energy accurately reconstructed. This article proposes an algorithm based
on a convolutional neural network to perform the classification of energy
deposits and reconstructed particles as track-like or arising from
electromagnetic cascades. Results from testing the algorithm on data from
ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network
identifies track- and shower-like particles, as well as Michel electrons, with
high efficiency. The performance of the algorithm is consistent between data
and simulation.Comment: 31 pages, 15 figure
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
- Author
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- Abud AA
- Acciarri R
- Acero MA
- Adamov G
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- Arnold LO
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The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of 7.2Ă6.0Ă6.9 m3. It is installed at the CERN Neutrino Platform in a specially-constructed beam that delivers charged pions, kaons, protons, muons and electrons with momenta in the range 0.3 GeV/c to 7 GeV/c. Beam line instrumentation provides accurate momentum measurements and particle identification. The ProtoDUNE-SP detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment, and it incorporates full-size components as designed for that module. This paper describes the beam line, the time projection chamber, the photon detectors, the cosmic-ray tagger, the signal processing and particle reconstruction. It presents the first results on ProtoDUNE-SP's performance, including noise and gain measurements, dE/dx calibration for muons, protons, pions and electrons, drift electron lifetime measurements, and photon detector noise, signal sensitivity and time resolution measurements. The measured values meet or exceed the specifications for the DUNE far detector, in several cases by large margins. ProtoDUNE-SP's successful operation starting in 2018 and its production of large samples of high-quality data demonstrate the effectiveness of the single-phase far detector design
First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform
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- Publication venue
- Publication date
- Field of study
Limitations and opportunities in the pharmacotherapy of ciliopathies
- Publication venue
- Pergamon - Elsevier Science Ltd
- Publication date
- 01/01/2021
- Field of study
- âŠ