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LHCb Notes

Letzte Einträge:
2017-10-20
14:22
Performance of the RASNIK Optical Alignment Monitoring System for the LHCb Outer Tracker Detector / Szczekowski, Marek (National Centre for Nuclear Research (PL)) ; Tuning, Niels (Nikhef National institute for subatomic physics (NL)) ; Ukleja, Artur (National Centre for Nuclear Research (PL)) ; Pellegrino, Antonio (Nikhef National institute for subatomic physics (NL)) ; Hart, Robert (Nikhef National institute for subatomic physics (NL)) ; Syryczynski, Krzysztof (National Centre for NuclearResearch, WARSAW)
We present the results collected by an optical system for position control of the Outer Tracker detector stations in the LHCb experiment. This system has been constructed using the RASNIK three-point alignment monitors. [...]
LHCb-PUB-2017-020; CERN-LHCb-PUB-2017-020.- Geneva : CERN, 2017 - mult.p.

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2017-09-08
10:33
LHCb Computing Resources: 2019 requests and reassessment of 2018 requests / Bozzi, Concezio (Universita di Ferrara & INFN (IT))
This document presents the computing resources needed by LHCb in 2019 and a reassessment of the 2018 requests, as resulting from the current experience of Run2 data taking and minor changes in the LHCb computing model parameters..
LHCb-PUB-2017-019; CERN-LHCb-PUB-2017-019.- Geneva : CERN, 2017 - 14. Fulltext: PDF;

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2017-05-19
10:57
The Hybrid Seeding algorithm for a scintillating fibre tracker at LHCb upgrade: description and performance / Quagliani, Renato (Universite de Paris-Sud 11 (FR)) ; Amhis, Yasmine Sara (Universite de Paris-Sud 11 (FR)) ; Billoir, Pierre (Centre National de la Recherche Scientifique (FR)) ; Polci, Francesco (Centre National de la Recherche Scientifique (FR))
in preparation
LHCb-PUB-2017-018; CERN-LHCb-PUB-2017-018.- Geneva : CERN, 2017

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2017-04-25
08:40
Signal coupling to embedded pitch adapters in silicon sensors / Artuso, Marina (Syracuse University (US)) ; Betancourt, Christopher (Universitaet Zuerich (CH)) ; Bezshyiko, Iaroslava (Universitaet Zuerich (CH)) ; Blusk, Steven R. (Syracuse University (US)) ; Brundler Denzer, Ruth (Universitaet Zuerich (CH)) ; Bugiel, Szymon (AGH University of Science and Technology (PL)) ; Dasgupta, Roma (AGH University of Science and Technology (PL)) ; Dendek, Adam Mateusz (AGH University of Science and Technology (PL)) ; Dey, Biplab (Central China Normal University CCNU (CN)) ; Ely, Scott Edward (Syracuse University (US)) et al.
We have examined the effects of embedded pitch adapters on signal formation in n-substrate silicon microstrip sensors with data from beam tests and simulation. According to simulation, the presence of the pitch adapter metal layer changes the electric field inside the sensor, resulting in slowed signal formation on the nearby strips and a pick-up effect on the pitch adapter. [...]
LHCb-PUB-2017-017; CERN-LHCb-PUB-2017-017.- Geneva : CERN, 2017

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2017-04-19
15:25
A study on Scintillating Fiber tracker optimisation for the LHCb upgrade / Piucci, Alessio (Ruprecht-Karls-Universitaet Heidelberg (DE)) ; Mogini, Andrea (Centre National de la Recherche Scientifique (FR)) ; Esen, Sevda (Ruprecht-Karls-Universitaet Heidelberg (DE)) ; Nikodem, Thomas (Ruprecht-Karls-Universitaet Heidelberg (DE))
New tracking stations made from scintillating fibres are designed as a part of the LHCb Upgrade to provide the tracking capabilities in the data-taking environment foreseen after Run II. Due to the higher track multiplicity and higher total integrated radiation dose, larger inefficiencies are found in the simulation compared to the current tracker. [...]
LHCb-PUB-2017-016; CERN-LHCb-PUB-2017-016.- Geneva : CERN, 2017 - 26. Fulltext: 3.PDF;

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2017-04-11
14:17
First experiences with a parallel architecture testbed in the LHCb trigger system / Gallorini, Stefano (Universita e INFN, Padova (IT)) ; Lucchesi, Donatella (Universita e INFN, Padova (IT)) ; Gianelle, Alessio (Universita e INFN, Padova (IT)) ; Amerio, Silvia (Universita e INFN, Padova (IT)) ; Corvo, Marco (Universita di Ferrara & INFN (IT))
In this note we will discuss the application of new technologies, such as GPU cards, in the current LHCb trigger system. During Run2, a node equipped with a GPU has been inserted in the LHCb online monitoring system. [...]
LHCb-PUB-2017-015; CERN-LHCb-PUB-2017-015.- Geneva : CERN, 2017 - 17. Fulltext: PDF;

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2017-03-28
14:22
The Future of RICH Detectors through the Light of the LHCb RICH / D'Ambrosio, C. (CERN) ; Cardinale, R. ; Easo, S. ; Petrolini, A. ; Ullaland, O. /LHCb RICH
The limitations in performance of the present RICH system in the LHCb experiment are given by the natural chromatic dispersion of the gaseous Cherenkov radiator, the aberrations of the optical system and the pixel size of the photon detectors. Moreover, the overall PID performance can be affected by high detector occupancy as the pattern recognition becomes more difficult with high particle multiplicities. [...]
LHCB-PUB-2017-014; arXiv:1703.09927; CERN-LHCb-PUB-2017-014.- Geneva : CERN, 2017 - 9 p. Preprint: PDF;
In : 9th International Workshop on Ring Imaging Cherenkov Detectors, Bled, Slovenia, 5 - 9 Sep 2016

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2017-03-22
13:49
Radiation environment of the LHCb Calorimeters in 2010-2013 (under review) / Corti, Gloria (CERN) ; Karacson, Matthias (Ruprecht-Karls-Universitaet Heidelberg (DE))
A set of passive and active radiation detectors has been installed around and in between the LHCb calorimeter subsystems to measure different aspects of the radiation environment. Cross calibrations between various types of measurements are performed and correlated with the evolving run conditions. [...]
LHCb-PUB-2017-013; CERN-LHCb-PUB-2017-013.- Geneva : CERN, 2017

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2017-03-16
15:43
Performance of the LHCb RICH detectors during the LHC Run II / Papanestis, Antonis (Rutherford) ; D'Ambrosio, Carmelo (CERN)
The LHCb RICH system provides hadron identification over a wide momentum range $(2–100 ~\text{GeV}/c)$. [...]
LHCB-PUB-2017-012 ; arXiv:1703.08152 ; CERN-LHCb-PUB-2017-012.
- 2017. - 10.
Full text - Preprint - Preprint - Preprint

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2017-03-08
17:05
Fast neural-net based fake track rejection / De Cian, Michel (Ruprecht-Karls-Universitaet Heidelberg (DE)) ; Farry, Stephen (University of Liverpool (GB)) ; Seyfert, Paul (Universita & INFN, Milano-Bicocca (IT)) ; Stahl, Sascha (CERN)
A neural-network based algorithm to identify fake tracks in the LHCb pattern recognition is presented. This algorithm, called ghost probability, is fast enough to fit into the CPU time budget of the software trigger farm. [...]
LHCb-PUB-2017-011; CERN-LHCb-PUB-2017-011.- Geneva : CERN, 2017

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