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LHCb Notes

Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction / Kopciewicz, Pawel (AGH University of Science and Technology (PL)) ; Akiba, Kazu (Nikhef National institute for subatomic physics (NL)) ; Szumlak, Tomasz (AGH University of Science and Technology (PL)) ; Sitko, Sebastian Piotr ; Barter, William (Imperial College (GB)) ; Buytaert, Jan (CERN) ; Eklund, Lars (Uppsala University (SE)) ; Hennessy, Karol (University of Liverpool (GB)) ; Koppenburg, Patrick (Nikhef National institute for subatomic physics (NL)) ; Latham, Thomas Edward (University of Warwick (GB)) et al.
The optimization of the Beetle readout ASIC and the performance of the software for the signal processing based on machine learning methods are presented. The Beetle readout chip was developed for the LHCb (Large Hadron Collider beauty) tracking detectors and was used in the VELO (Vertex Locator) during Run 1 and 2 of LHC data taking. [...]
LHCb-PUB-2022-002; CERN-LHCb-PUB-2022-002.- Geneva : CERN, 2021 - 12. Fulltext: ;

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Considerations for the VELO detector at the LHCb Upgrade II / Akiba, Kazu (Nikhef National institute for subatomic physics (NL)) ; Alexander, Michael Thomas (University of Glasgow (GB)) ; Back, John James (University of Warwick (GB)) ; Bates, Richard (University of Glasgow (GB)) ; Bertella, Claudia (University of Manchester (GB)) ; Van Beuzekom, Martin (Nikhef National institute for subatomic physics (NL)) ; Seman Bobulska, Dana (University of Glasgow (GB)) ; Boente Garcia, Oscar (Universidade de Santiago de Compostela (ES)) ; Bogdanova, Galina (M.V. Lomonosov Moscow State University (RU)) ; Borghi, Silvia (University of Manchester (GB)) et al.
The LHCb experiment is planning to operate with a 7.5-fold increase in instantaneous luminosity for LHC Runs 5 and 6. The performance of the Vertex Locator detector is crucial in the event reconstruction at the increased pile-up, providing real-time information to be used in the trigger. [...]
LHCb-PUB-2022-001; CERN-LHCb-PUB-2022-001.- Geneva : CERN, 2022 - 98. Fulltext: PDF;

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LHCb RICH : Improvements in LS3 / Easo, Sajan (Science and Technology Facilities Council STFC (GB))
LHCb-PUB-2021-014; CERN-LHCb-PUB-2021-014.- Geneva : CERN, 2021

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LHCb RICH : Plans and options for future upgrades / Easo, Sajan (Science and Technology Facilities Council STFC (GB))
LHCb-PUB-2021-013; CERN-LHCb-PUB-2021-013.- Geneva : CERN, 2021

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The VELO optical and power board / Eklund, Lars (Uppsala University (SE)) ; Van Beuzekom, Martin (Nikhef National institute for subatomic physics (NL)) ; Buytaert, Jan (CERN) ; Dean, Cameron Thomas (Los Alamos National Laboratory (US)) ; De Bruyn, Kristof Antoon M (University of Groningen (NL)) ; Dumps, Raphael (CERN) ; Fernandez Prieto, Antonio (Universidade de Santiago de Compostela (ES)) ; Hennessy, Karol (University of Liverpool (GB)) ; Leflat, Alexander (M.V. Lomonosov Moscow State University (RU)) ; Lemos Cid, Edgar (Universidade de Santiago de Compostela (ES)) et al.
The optical and power boards (OPB) are part of the on-detector electronics system for the LHCb Vertex Detector (VELO) and they are used in LHCb upgrade 1 which is installed in the second long LHC shutdown period. The OPBs are assembled printed circuit boards (PCBs) that are located immediately outside of the VELO detector vacuum tank, in custom made mechanical crates. [...]
LHCb-PUB-2021-012; CERN-LHCb-PUB-2021-012.- Geneva : CERN, 2021 - 42. Fulltext: PDF;

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Microchannel Cooling for the LHCb VELO Upgrade I / Collins, Paula (CERN) ; De Aguiar Francisco, Oscar Augusto (University of Manchester (GB)) ; Byczynski, Wiktor (Tadeusz Kosciuszko Cracow University of technology (PL)) ; Akiba, Kazu (Nikhef National institute for subatomic physics (NL)) ; Bertella, Claudia (University of Manchester (GB)) ; Bitadze, Alexander (University of Manchester (GB)) ; Buytaert, Jan (CERN) ; De Capua, Stefano (University of Manchester (GB)) ; Callegari, Riccardo (CERN) ; Catinaccio, Andrea (CERN) et al.
The LHCb VELO Upgrade I, currently being installed for the 2022 start of LHC Run 3, uses silicon microchannel coolers with internally circulating bi-phase \cotwo for thermal control of hybrid pixel modules operating in vacuum. This is the largest scale application of this technology to date. [...]
arXiv:2112.12763; LHCb-PUB-2021-010; CERN-LHCb-PUB-2021-010.- Geneva : CERN, 2021 - 31 p. Fulltext: PDF;

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LHCb RICH: Potential physics performance / Calvi, Marta (Universita & INFN, Milano-Bicocca (IT)) ; Cardinale, Roberta (INFN e Universita Genova (IT)) ; Cavallero, Giovanni (CERN) ; Fazzini, Davide (Universita & INFN, Milano-Bicocca (IT)) ; Martinelli, Maurizio (CERN)
In Upgrade phases the PID performance are expected to be reduced by the high detector occupancy and large event multiplicity. The use of fast timing information can be one of the key element to restore and improve the performance of the current RICH detectors in these conditions. [...]
LHCb-PUB-2021-009; CERN-LHCb-PUB-2021-009.- Geneva : CERN, 2021 - 15. Fulltext: PDF;

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LHCb Computing Resources: preliminary 2023 requests / Bozzi, Concezio (Universita e INFN, Ferrara (IT))
This document presents a preliminary assessment of the offline computing resources needed by LHCb in 2023. The computing requests are based on the Computing Model Technical Design Report for the LHCb Upgrade, adjusted to the currently known LHC running schedule and the expected activities to be performed by the LHCb experiment..
LHCb-PUB-2021-008; CERN-LHCb-PUB-2021-008.- Geneva : CERN, 2021

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Calibration software platform for LHCb upgrade silicon detectors: STORCK and TITANIA / Szumlak, Tomasz (AGH University of Science and Technology (PL))
LHCb-PUB-2021-007; CERN-LHCb-PUB-2021-007.- Geneva : CERN, 2021

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PACIFICr5 ASIC Data Sheet / Comerma Montells, Albert ; Mazorra De Cos, Jose (Univ. of Valencia and CSIC (ES))
The PACIFICr5 ASIC is a 64 channel Silicon Photo Multiplier readout circuit with current mode input and digital output developed for the LHCb Scintillating Fibre Tracker..
LHCb-PUB-2021-006; CERN-LHCb-PUB-2021-006.- Geneva : CERN, 2021 - 31. Fulltext: PDF;

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