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CMS Detector Performance Summaries

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2023-03-29
11:11
Performance summary of AK4 jet charm tagging with the CMS Run2 Legacy dataset /CMS Collaboration
Identification of charm (c) jets, i.e. jets originating from c quarks, is an essential ingredient of many measurements as well as searches for new physics beyond the standard model at the LHC. [...]
CMS-DP-2023-006; CERN-CMS-DP-2023-006.- Geneva : CERN, 2023 - 32 p. Fulltext: PDF;

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2023-03-29
11:11
Performance summary of AK4 jet b tagging with data from proton-proton collisions at 13 TeV with the CMS detector /CMS Collaboration
The identification of b jets is of great importance for many measurements performed in high energy physics. In this note the performance of b tagging for AK4 jets at the CMS experiment is summarized. [...]
CMS-DP-2023-005; CERN-CMS-DP-2023-005.- Geneva : CERN, 2023 - 38 p. Fulltext: PDF;

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2023-03-27
14:31
Performance of Level-1 trigger e/gamma and tau in Run 3 /CMS Collaboration
The performances of the CMS Level 1 Trigger (L1T) system to identify and select electron/photons and hadronically decaying taus are presented using the full dataset collected by CMS in 2022 at a center of mass energy of 13.6 TeV..
CMS-DP-2023-008; CERN-CMS-DP-2023-008.- Geneva : CERN, 2023 - 18 p. Fulltext: PDF;

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2023-03-27
14:31
Performances of Muons, Jets and MET Level 1 trigger algorithms in Run 3 /CMS Collaboration
The performances of the CMS Level 1 Trigger (L1T) system to identify and select muons, jets, and transverse energy sums are presented using the full dataset collected by CMS in 2022 at a center of mass energy of 13.6 TeV..
CMS-DP-2023-007; CERN-CMS-DP-2023-007.- Geneva : CERN, 2023 - 18 p. Fulltext: PDF;

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2023-03-06
11:05
Commissioning CMS online reconstruction with GPUs /CMS Collaboration
Building on top of the multithreading functionality that was introduced in Run-2, the CMS software framework (CMSSW) has been extended in Run-3 to offload part of the physics reconstruction to NVIDIA GPUs. The first application of this new feature is the High Level Trigger (HLT): the new computing farm installed at the beginning of Run-3 is composed of 200 nodes, and for the first time each one is equipped with two AMD Milan CPUs and two NVIDIA T4 GPUs. [...]
CMS-DP-2023-004; CERN-CMS-DP-2023-004.- Geneva : CERN, 2022 - 22 p. Fulltext: PDF;

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2023-03-06
11:05
Luminosity monitoring with Z counting in early 2022 data /CMS Collaboration
Measurements of the efficiency corrected Z boson rates for luminosity determination are presented using proton-proton collisions at $\sqrt{s} = 13.6$\,TeV recorded in the year 2022 with the CMS detector. The Z boson candidates decaying into a muon pair are selected. [...]
CMS-DP-2023-003; CERN-CMS-DP-2023-003.- Geneva : CERN, 2023 - 12 p. Fulltext: PDF;

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2023-02-20
16:18
An Autoencoder Based Online Data Quality Monitoring for CMS ECAL - part 2
An Autoencoder Based Online Data Quality Monitoring for CMS ECAL - part 2
CMS-DP-2023-002; CERN-CMS-DP-2023-002.- Geneva : CERN, 2023 - 13 p. Fulltext: PDF;

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2023-01-23
15:13
ECAL alignment w.r.t. tracker in Run 3 - 2022 /CMS Collaboration
ECAL alignment w.r.t. tracker in Run 3 - 2022
CMS-DP-2023-001; CERN-CMS-DP-2023-001.- Geneva : CERN, 2023 - 8 p. Fulltext: PDF;

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2023-01-09
21:54
Full and Fast Simulation CPU Performance Studies /CMS Collaboration
The following plots show historical trends of the CMS detector Full and Fast Simulation CPU time performance of Run-2/13 TeV and Run-3/14 TeV data. Fast Simulation provides a fast and reliable alternative tool to the Geant-based Full Simulation. [...]
CMS-DP-2022-072; CERN-CMS-DP-2022-072.- Geneva : CERN, 2022 - 6 p. Fulltext: PDF;

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2023-01-09
21:54
Performance prospects for different configurations of the Phase-2 Upgrade CMS Inner Tracker /CMS Collaboration
In this report, performance of different configurations of the Phase-2 Inner Tracker has been discussed..
CMS-DP-2022-071; CERN-CMS-DP-2022-071.- Geneva : CERN, 2022 - 17 p. Fulltext: PDF;

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