CERN Accelerating science

LHCb Notes

LHCb Computing Resource usage in 2018 / Bozzi, Concezio (Universita e INFN, Ferrara (IT))
This document reports the usage of computing resources by the LHCb collaboration during the period January 1st – December 31st 2018. The data in the following sections have been compiled from the EGI Accounting portal: [...]
LHCb-PUB-2019-004; CERN-LHCb-PUB-2019-004.- Geneva : CERN, 2019 - mult.p.

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LHCb Computing Resources: 2020 requests and preview of the subsequent years / Bozzi, Concezio (Universita e INFN, Ferrara (IT))
This document presents the computing resources needed by LHCb in 2020, as resulting from the current experience and the foreseen computing activities. It also gives a preview of the computing resources for Run3 and LS3, based on the recently submitted Computing Model Technical Design Report for the LHCb Upgrade [...]
LHCb-PUB-2019-003; CERN-LHCb-PUB-2019-003.- Geneva : CERN, 2019 - mult.p.

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Di-photon searches in the High Level Trigger / Benson, Sean (Nikhef National institute for subatomic physics (NL)) ; Casais Vidal, Adrian (Universidade de Santiago de Compostela (ES)) ; Cid Vidal, Xabier (Universidade de Santiago de Compostela (ES)) ; Puig Navarro, Albert (Universitaet Zuerich (CH))
LHCb-PUB-2019-002; CERN-LHCb-PUB-2019-002.- Geneva : CERN, 2019

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Luminosity scenarios for LHCb Upgrade II / Parkes, Chris (University of Manchester (GB)) ; Thomas, Eric (CERN)
LHCb-PUB-2019-001; CERN-LHCb-PUB-2019-001.- Geneva : CERN, 2019

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Physics opportunities with the fixed-target program of the LHCb experiment using an unpolarized gas target / Bursche, Albert (Universita e INFN, Cagliari (IT)) ; Dembinski, Hans Peter (Max-Planck-Gesellschaft (DE)) ; Di Nezza, Pasquale (INFN e Laboratori Nazionali di Frascati (IT)) ; Ferro-Luzzi, Massimiliano (CERN) ; Fleuret, Frederic (Centre National de la Recherche Scientifique (FR)) ; Graziani, Giacomo (Universita e INFN, Firenze (IT)) ; Manca, Giulia (Universita e INFN, Cagliari (IT)) ; Maurice, Emilie Amandine (Centre National de la Recherche Scientifique (FR)) ; Neri, Nicola (Università degli Studi e INFN Milano (IT)) ; Pappalardo, Luciano Libero (Universita e INFN, Ferrara (IT)) et al.
The LHCb experiment pioneered fixed-target physics with LHC beams, thanks to the SMOG internal gas target. Collisions of proton and heavy-ion beams on targets with different nuclear size can be recorded at a centre-of-mass energy of $\sqrt {s_{NN}}$ ∼ 100 GeV. [...]
LHCb-PUB-2018-015; CERN-LHCb-PUB-2018-015.- Geneva : CERN, 2018 - 39. Fulltext: PDF;

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HL-LHC yellow report / Koppenburg, Patrick (Nikhef National institute for subatomic physics (NL))
in preparation
LHCb-PUB-2018-014; CERN-LHCb-PUB-2018-014.- Geneva : CERN, 2018

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Prospects for measurement of the weak mixing angle at LHCb / Barter, William James (University of Manchester (GB))
We project the potential sensitivity to the weak mixing angle in future measurements by LHCb Upgrade II at the High Luminosity LHC. The LHCb experiment covers forward rapidities at the LHC, and expects to record at least 300$\text{ fb}^{-1}$ of data. [...]
LHCb-PUB-2018-013; CERN-LHCb-PUB-2018-013.- Geneva : CERN, 2018 - 11. Fulltext: PDF;

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LHCb Upgrade Computing Model / Passaleva, Giovanni (Universita e INFN, Firenze (IT))
LHCb-PUB-2018-012; CERN-LHCb-PUB-2018-012.- Geneva : CERN, 2018

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LHCb Computing Resources: 2019/2020 requests and preview of Run 3 computing model / Bozzi, Concezio (Universita e INFN, Ferrara (IT))
This document presents the computing resources needed by LHCb in 2019 and 2020. A preview of the LHCb computing model for Run 3 and beyond is also given [...]
LHCb-PUB-2018-011; CERN-LHCb-PUB-2018-011.- Geneva : CERN, 2018 - 13. Fulltext: PDF;

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Using holistic event information in the trigger / Bourgeois, Dylan (EPFL - Ecole Polytechnique Federale Lausanne (CH)) ; Fitzpatrick, Conor (EPFL - Ecole Polytechnique Federale Lausanne (CH)) ; Stahl, Sascha (CERN)
In order to achieve the data rates proposed for the future Run 3 upgrade of the LHCb detector, new processing models must be developed to deal with the increased throughput. For this reason we aim to investigate the feasibility of purely data-driven 'holistic' methods, with the constraint of introducing minimal computational overhead, hence using only raw detector information. [...]
arXiv:1808.00711; LHCb-PUB-2018-010; CERN-LHCb-PUB-2018-010.- Geneva : CERN, 2018 - 30 p. Fulltext: LHCb-PUB-2018-010 - PDF; 1808.00711 - PDF;

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