Search for long-lived heavy charged particles using a ring imaging Cherenkov technique at LHCb
Title: | Search for long-lived heavy charged particles using a ring imaging Cherenkov technique at LHCb
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Author: | LHCb Collaboration
Adeva Andany, Bernardo
Dosil Suárez, Álvaro
Fernández Albor, Víctor Manuel
Gallas Torreira, Abraham Antonio
García Pardiñas, Julián
Hernando Morata, José Ángel
Plo Casasus, Máximo
Romero Vidal, Antonio
Saborido Silva, Juan José
Sanmartín Sedes, Brais
Santamarina Ríos, Cibrán
Vázquez Regueiro, Pablo
Vázquez Sierra, Carlos
Vieites Díaz, María
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Affiliation: | Universidade de Santiago de Compostela. Departamento de Física de Partículas Universidade de Santiago de Compostela. Instituto Galego de Física de Altas Enerxías (IGFAE)
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Subject: | Artificial neural network | Cherenkov radiation | Artificial neural network training | LHCb detector | Muon chamber | |
Date of Issue: | 2015
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Publisher: | Springer
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Citation: | Aaij, R., Adeva, B., Adinolfi, M. et al. Search for long-lived heavy charged particles using a ring imaging Cherenkov technique at LHCb. Eur. Phys. J. C 75, 595 (2015). https://doi.org/10.1140/epjc/s10052-015-3809-7
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Abstract: | A search is performed for heavy long-lived charged particles using 3.0 fb−1 of proton–proton collisions collected at √s = 7 and 8 TeV with the LHCb detector. The search is mainly based on the response of the ring imaging Cherenkov detectors to distinguish the heavy, slow-moving particles from muons. No evidence is found for the production of such long-lived states. The results are expressed as limits on the Drell–Yan production of pairs of long-lived particles, with both particles in the LHCb pseudorapidity acceptance, 1.8<η<4.9. The mass-dependent cross-section upper limits are in the range 2–4 fb (at 95 % CL) for masses between 14 and 309 GeV/c2 |
Publisher version: | https://doi.org/10.1140/epjc/s10052-015-3809-7 |
URI: | http://hdl.handle.net/10347/21714
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DOI: | 10.1140/epjc/s10052-015-3809-7 |
ISSN: | 1434-6044
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E-ISSN: | 1434-6052
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Rights: | © The Author(s) 2015. This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.
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