2024-10-21
16:26 |
BuSca: a Buffer Scanner at HLT1 using 2024 LHCb data
/LHCb Collaboration
BuSca is an algorithm designed for real-time particle searches, taking benefit of the enhanced parallelization capabilities of the new LHCb trigger scheme implemented on GPUs. BuSca is focused on downstream reconstructed tracks at HLT1 level, detected exclusively by the UT and SciFi detectors. [...]
LHCB-FIGURE-2024-036.-
Geneva : CERN, 2024 - 8.
Fulltext: main (3) - PDF; LHCb-FIGURE-2024-036 - ZIP;
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2024-10-21
08:56 |
HLT1 Downstream performance in 2024 data-taking
/LHCb Collaboration
This document presents various performance plots of HLT1 downstream tracking during the 2024 data-taking. This is the first time LHCb has taken data with downstream tracking in HLT1, starting from the afternoon of 2024-10-03. [...]
LHCB-FIGURE-2024-035.-
Geneva : CERN, 2024 - 5.
Fulltext: main (2) - PDF; LHCb-FIGURE-2024-035 - ZIP;
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2024-10-21
08:48 |
The Bandwidth of the LHCb trigger on data and simulation in Autumn 2024
/LHCb Collaboration
This figure document contains a selection of bar charts showing the bandwidth of the LHCb trigger in late August-early October 2024, as measured by the LHCbPR UpgradeRateTest framework. There are three such plots: firstly, the HLT2 bandwidth of all streams to tape as measured on upgrade minimum-bias simulation with a HLT1 and HLT2 from late August; secondly, on the same sample, a breakdown of the rates that each physics working group is contributing to the HLT2 Full stream; finally - and most importantly - the Sprucing bandwidth of all streams to disk on HLT1-filtered real data from Run 307531 (October 2nd) with a software stack compiled in early October. [...]
LHCB-FIGURE-2024-034.-
Geneva : CERN, 2024 - 5.
Fulltext: main (1) - PDF; LHCb-FIGURE-2024-034 - ZIP;
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2024-10-18
15:26 |
Real-time monitoring of the LHCb interaction region with a fast trackless methodology
/LHCb Collaboration
This document presents a preliminary analysis of real-time luminosity measurements and luminous region (LR) position estimates at the LHCb interaction point, using the Retina clustering algorithm that runs on the VELO FPGAs. Retina provides reconstructed clusters at the earliest stage of the DAQ chain, enabling efficient monitoring of luminosity in real time by measuring sensor occupancy. [...]
LHCB-FIGURE-2024-033.-
Geneva : CERN, 2024 - 12.
Fulltext: LHCb-FIGURE-2024-033 - ZIP; main - PDF;
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2024-10-15
16:03 |
Track reconstruction efficiency mass plots and efficiency plots for 2024 data and simulation
/LHCb Collaboration
This document shows the invariant mass spectra of the Downstream, VeloMuon and MuonUT methods used to estimate the track reconstruction efficiency of the Velo, the SciFi, and both combined, separated for candidates with a successfull and failed matches with the tag-and-probe method, both for 2024 data and 2024 simulation. Additionally, the track reconstruction efficiencies of the Velo and the SciFi in bins of momentum are shown. [...]
LHCB-FIGURE-2024-032.-
Geneva : CERN, 2024 - 5.
Fulltext: LHCb-FIGURE-2024-032 - ZIP; main - PDF;
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2024-10-14
09:08 |
Hadron PID Performance in 2024
/LHCb Collaboration
Charged hadron PID performance for Fill 9986, a fill acquired in August 2024 data taking, after the latest alignments. We show results both from the offline sWeight method used within the PIDCalib2 package, and results from an offline Fit and Count approach..
LHCB-FIGURE-2024-031.-
Geneva : CERN, 2024 - 10.
Fulltext: LHCb-FIGURE-2024-031 - ZIP; main (1) - PDF;
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2024-10-08
09:01 |
HLT1 trigger efficiencies in 2024 data
/LHCb Collaboration
This FIGURE note presents efficiencies of the LHCb HLT1 trigger (namely of the ${\tt HLT1(Two)TrackMVA}$ trigger lines) in $pp$ collision data taken by the LHCb detector in 2024. Direct comparisons to the equivalent trigger efficiencies in Run 2 (combined efficiencies of L0 and HLT1) are established. [...]
LHCB-FIGURE-2024-030.-
Geneva : CERN, 2024 - 8.
Fulltext: LHCb-FIGURE-2024-030 - ZIP; main (2) - PDF;
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2024-10-02
14:53 |
NN based HLT1 muon identification preliminary performance
/LHCb Collaboration
This document presents the preliminary performance of the Neural Network based muon identification algorithm runningin HLT1. Two quantities are presented: a ROC curve, comparing the signal vs. [...]
LHCB-FIGURE-2024-029.-
Geneva : CERN, 2024 - 5.
Fulltext: LHCb-FIGURE-2024-029 - ZIP; main (1) - PDF;
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2024-10-02
14:39 |
Comparison of alignment performance employing V0 mass plots with Run 3 commissioning data
/LHCb collaboration
A very precise knowledge of the position and orientation of all LHCb sub-detectors is crucial to obtain the best-quality data for physics analyses. In particular, the alignment of the LHCb tracker has a large impact on the reconstructed track $\chi^2$, which affects the number of tracks that can be reconstructed and the track momentum resolution. [...]
LHCB-FIGURE-2024-028.-
Geneva : CERN, 24 - 4.
Fulltext: LHCb-FIGURE-2024-028 - ZIP; LHCB-FIGURE-2024-028 - PDF;
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2024-09-23
11:39 |
HLT1 RICH decoding algorithm performance
/LHCb Collaboration
The first two figures show the LHCb experiment with a zoom to the RICH 1 sub-detector and the second one is a schematic of the data flow with an emphasis on the current effort presented on the paper. The third figure compares throughput between the CPU and GPU algorithms using different hardware configurations for 3 different LHCb runs. [...]
LHCB-FIGURE-2024-027.-
Geneva : CERN, 2024 - 5.
Fulltext: main - PDF; LHCb-FIGURE-2024-027 - ZIP;
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