LHCb CollaborationAdeva Andany, BernardoDosil Suárez, ÁlvaroFernández Albor, Víctor ManuelGallas Torreira, Abraham AntonioGarcía Pardiñas, JuliánHernando Morata, José ÁngelPlo Casasus, MáximoRomero Vidal, AntonioSaborido Silva, Juan JoséSanmartín Sedes, BraisSantamarina Ríos, CibránVázquez Regueiro, PabloVázquez Sierra, CarlosVieites Díaz, María2020-04-242020-04-242015Aaij, 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/s10052-015-3809-71434-6044http://hdl.handle.net/10347/21714A 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/c2eng© 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.https://creativecommons.org/licenses/by/4.0Artificial neural networkCherenkov radiationArtificial neural network trainingLHCb detectorMuon chamberjournal article10.1140/epjc/s10052-015-3809-71434-6052open access