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CMS Detector Performance Summaries

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2023-03-30
09:43
A first look at early 2022 proton-proton collisions at $\sqrt{s}\ =\ 13.6$ TeV for heavy-flavor jet tagging /CMS Collaboration
Identification of jets stemming from heavy-flavor (bottom or charm) hadrons relies primarily on the inputs due to reconstruction of charged particle tracks and secondary vertices contained in these jets. Thus, it is crucial to study the data vs. [...]
CMS-DP-2023-012; CERN-CMS-DP-2023-012.- Geneva : CERN, 2023 - 32 p. Fulltext: PDF;

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2023-03-30
09:43
An AutoEncoder-based Anomaly Detection tool with a per-LS granularity /CMS Collaboration
An AutoEncoder-based Anomaly Detection Tool capable of detecting anomalies in DQM Monitor Elements with a per-Lumisection granularity is presented..
CMS-DP-2023-010; CERN-CMS-DP-2023-010.- Geneva : CERN, 2023 - 2 p. Fulltext: PDF;

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2023-03-30
09:43
Performance of the track selection DNN in Run 3 /CMS Collaboration
The DP-Note describes the DNN used for track selection in Run3 and shows the physics performance in Run3 simulation. The tracking efficiency, fake rate and duplicate rate are shown as a function of p$_T$, $\eta$, pileup for $t\bar{t}$ events and as a function of the track displacement for stop-antistop events..
CMS-DP-2023-009; CERN-CMS-DP-2023-009.- Geneva : CERN, 2023 - 22 p. Fulltext: PDF;

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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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