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CERN Accelerating science

LHCb Detector Performance Papers

Senast inlagda poster:
Calibration and performance of the LHCb calorimeters in Run 1 and 2 at the LHC / Abellán Beteta, Carlos (ICC, Barcelona U.) ; Alfonso Albero, A. (ICC, Barcelona U.) ; Amhis, Y. (IJCLab, Orsay) ; Barsuk, S. (IJCLab, Orsay) ; Beigbeder-Beau, C. (IJCLab, Orsay) ; Belyaev, I. (Kurchatov Inst., Moscow) ; Bonnefoy, R. (Clermont-Ferrand U.) ; Breton, D. (IJCLab, Orsay) ; Callot, O. (IJCLab, Orsay) ; Calvo Gomez, M. (ICC, Barcelona U.) et al.
The calibration and performance of the LHCb Calorimeter system in Run 1 and 2 at the LHC are described. [...]
arXiv:2008.11556 ; CERN-LHCb-DP-2020-001.
- 51 p.

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Muon identification for LHCb Run 3 / Anderlini, Lucio ; Anderlini, L. (INFN, Florence) ; Archilli, F. (Heidelberg U.) ; Cardini, A. (INFN, Cagliari) ; Cogoni, V. (INFN, Cagliari) ; Fontana, M. (CERN) ; Graziani, G. (INFN, Florence) ; Kazeev, N. (Higher Sch. of Economics, Moscow ; U. Rome La Sapienza (main)) ; Kuindersma, H. (Nikhef, Amsterdam) ; Oldeman, R. (INFN, Cagliari) et al.
Muon identification is of paramount importance for the physics programme of LHCb. In the upgrade phase, starting from Run 3 of the LHC, the trigger of the experiment will be solely based on software. [...]
arXiv:2008.01579; LHCb-DP-2020-002.- 2020-12-10 - 16 p. - Published in : JINST 15 (2020) T12005 Fulltext: PDF; Fulltext from publisher: PDF;

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Measurement of the electron reconstruction efficiency at LHCb / LHCb Collaboration
The single electron track-reconstruction efficiency is determined using a sample corresponding to $1.3~\mathrm{fb}^{-1}$of $pp$ collision data recorded with the LHCb detector in 2017. This measurement exploits $B^+\to J/\psi (e^+e^-)K^+$ decays, where one of the electrons is fully reconstructed and paired with the kaon, while the other electron is reconstructed using only the information of the vertex detector. [...]
arXiv:1909.02957; LHCb-DP-2019-003; CERN-EP-2019-181.- 2019 - 21 p. - Published in : JINST 14 (2019) P11023 Fulltext: PDF; Fulltext from publisher: Aaij_2019_J._Inst._14_P11023 (1) - PDF; Aaij_2019_J._Inst._14_P11023 - PDF;

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Real-time discrimination of photon pairs using machine learning at the LHC / Benson, Sean (Nikhef, Amsterdam) ; Casais Vidal, Adrián (Santiago de Compostela U., IGFAE) ; Cid Vidal, Xabier (Santiago de Compostela U., IGFAE) ; Puig Navarro, Albert (Zurich U.) /LHCb Collaboration
ALP-mediated decays and other as-yet unobserved $B$ decays to di-photon final states are a challenge to select in hadron collider environments due to the large backgrounds that come directly from the $pp$ collision. We present the strategy implemented by the LHCb experiment in 2018 to efficiently select such photon pairs. [...]
arXiv:1906.09058; CERN-LHCb-DP-2019-004.- 2019-11-13 - 16 p. - Published in : SciPost Phys. 7 (2019) 062 Fulltext: 1906.09058 - PDF; fulltext1740869 - PDF;

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A comprehensive real-time analysis model at the LHCb experiment / Aaij, R. (Nikhef, Amsterdam) ; Benson, S. (Nikhef, Amsterdam) ; De Cian, M. (Ecole Polytechnique, Lausanne) ; Dziurda, A. (Cracow, INP) ; Fitzpatrick, C. (CERN) ; Govorkova, E. (Nikhef, Amsterdam) ; Lupton, O. (Warwick U.) ; Matev, R. (CERN) ; Neubert, S. (Heidelberg U.) ; Pearce, A. (CERN) et al.
An evolved real-time data processing strategy is proposed for high-energy physics experiments, and its implementation at the LHCb experiment is presented. The reduced event model allows not only the signal candidate firing the trigger to be persisted, as previously available, but also an arbitrary set of other reconstructed or raw objects from the event. [...]
arXiv:1903.01360; CERN-LHCb-DP-2019-002.- 2019-04-15 - 15 p. - Published in : JINST 14 (2019) P04006 Fulltext: 1903.01360 - PDF; fulltext1723258 - PDF; Fulltext from Publisher: PDF;

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Design and performance of the LHCb trigger and full real-time reconstruction in Run 2 of the LHC / LHCb Collaboration
The LHCb collaboration has redesigned its trigger to enable the full offline detector reconstruction to be performed in real time. Together with the real-time alignment and calibration of the detector, and a software infrastructure to make persistent the high-level physics objects produced during real-time processing, this redesign enabled the widespread deployment of real-time analysis during Run 2. [...]
arXiv:1812.10790; CERN-LHCb-DP-2019-001.- 2019-04-24 - 43 p. - Published in : JINST 14 (2019) P04013 Fulltext: 1812.10790 - PDF; fulltext1711636 - PDF; Fulltext from Publisher: PDF; Preprint: PDF;

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ReDecay: A novel approach to speed up the simulation at LHCb / Müller, D. (CERN) ; Clemencic, M. (CERN) ; Corti, G. (CERN) ; Gersabeck, M. (Manchester U.)
With the steady increase in the precision of flavour physics measurements collected during LHC Run 2, the LHCb experiment requires simulated data samples of larger and larger sizes to study the detector response in detail. The simulation of the detector response is the main contribution to the time needed to simulate full events. [...]
arXiv:1810.10362; CERN-LHCb-DP-2018-004.- 2018-12-12 - 9 p. - Published in : Eur. Phys. J. C 78 (2018) 1009 Article from SCOAP3: PDF; Fulltext: PDF;

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Monitoring radiation damage in the LHCb Tracker Turicensis / Abellan Beteta, C. (Zurich U.) ; Atzeni, M. (Zurich U.) ; Battista, V. (Ecole Polytechnique, Lausanne) ; Bursche, A. (INFN, Cagliari) ; Dey, B. (CCNU, Wuhan, Inst. Part. Phys.) ; Dosil Suarez, A. (Santiago de Compostela U., IGFAE) ; Elsasser, C. (Zurich U.) ; Fernandez Prieto, A. (Santiago de Compostela U., IGFAE) ; Fu, J. (Milan U.) ; Graverini, E. (Ecole Polytechnique, Lausanne) et al. /LHCb Silicon Tracker Group
This paper presents the techniques used to monitor radiation damage in the LHCb Tracker Turicensis during the LHC Runs 1 and 2. Bulk leakage currents in the silicon sensors were monitored continuously, while the full depletion voltages of the sensors were estimated at regular intervals by performing dedicated scans of the charge collection efficiency as a function of the applied bias voltage. [...]
arXiv:1809.05063; CERN-LHCb-DP-2018-003.- 2020-08-25 - 15 p. - Published in : JINST 15 (2020) P08016 Fulltext: PDF; Fulltext from publisher: PDF;

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Mapping the material in the LHCb vertex locator using secondary hadronic interactions / Alexander, M. (Glasgow U.) ; Barter, W. (Manchester U.) ; Bay, A. (Ecole Polytechnique, Lausanne) ; Bel, L.J. (NIKHEF, Amsterdam) ; van Beuzekom, M. (NIKHEF, Amsterdam) ; Bogdanova, G. (SINP, Moscow) ; Borghi, S. (Manchester U.) ; Bowcock, T.J.V. (Liverpool U.) ; Buchanan, E. (Bristol U.) ; Buytaert, J. (CERN) et al.
Precise knowledge of the location of the material in the LHCb vertex locator (VELO) is essential to reducing background in searches for long-lived exotic particles, and in identifying jets that originate from beauty and charm quarks. Secondary interactions of hadrons produced in beam-gas collisions are used to map the location of material in the VELO. [...]
CERN-LHCb-DP-2018-002; arXiv:1803.07466.- 2018-06-13 - 11 p. - Published in : JINST 13 (2018) P06008 Fulltext: PDF; Fulltext from Publisher: PDF; External link: Figures, tables and other information

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Selection and processing of calibration samples to measure the particle identification performance of the LHCb experiment in Run 2 / Aaij, Roel (NIKHEF, Amsterdam) ; Anderlini, L. (INFN, Florence) ; Benson, S. (NIKHEF, Amsterdam) ; Cattaneo, Marco (CERN) ; Charpentier, Philippe (CERN) ; Clemencic, Marco (CERN) ; Falabella, Antonio (INFN, Bologna) ; Ferrari, Fabio (INFN, Bologna) ; Fontana, M. (CERN) ; Gligorov, Vladimir Vava (Paris U., VI-VII) et al.
Since 2015, with the restart of the LHC for its second run of data taking, the LHCb experiment has been empowered with a dedicated computing model to select and analyse calibration samples to measure the performance of the particle identification (PID) detectors and algorithms. The novel technique was developed within the framework of the innovative trigger model of the LHCb experiment, which relies on online event reconstruction for most of the datasets, reserving offline reconstruction to special physics cases. [...]
LHCb-DP-2018-001; LHCB-DP-2018-001; arXiv:1803.00824.- 2019-02-28 - 18 p. - Published in : EPJ Tech. Instrum. 6 (2019) 1 Fulltext: PDF; Fulltext from Publisher: PDF;

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