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Начало > Articles & Preprints > CERN Notes > CMS Detector Performance Summaries

CMS Detector Performance Summaries

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2022-06-20
12:55
ECAL trigger for Run 3:
ECAL trigger for Run 3:
CMS-DP-2022-016; CERN-CMS-DP-2022-016.- Geneva : CERN, 2022 - 17 p. Fulltext: PDF;

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2022-06-20
12:53
ECAL Clustering for run 3
ECAL clustering for run 3
CMS-DP-2022-015; CERN-CMS-DP-2022-015.- Geneva : CERN, 2022 - 22 p. Fulltext: PDF;

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2022-06-13
12:03
Prospects for computer-assisted data quality monitoring at the CMS pixel detector. /CMS Collaboration
Data quality monitoring (DQM) and data certification (DC) are of vital importance to advanced detectors such as CMS, and are key ingredients in assuring solid results of high-level physics analyses. The current approach for DQM and DC at CMS is mainly based on manual monitoring of reference histograms summarizing the status and performance of the detector. [...]
CMS-DP-2022-013; CERN-CMS-DP-2022-013.- Geneva : CERN, 2022 - 12 p. Fulltext: PDF;

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2022-05-30
18:43
Tracking performances for charged pions with Run2 Legacy data /CMS Collaboration
In this note the tracking efficiency measurement results are shown for legacy data collected in Run2. The charged pion relative efficiency is measured with an indirect method from the reconstruction of two decay chains $D^* \to D^0 \pi \to K \pi \pi_{slow}$ and $D^* \to D^0\pi \to K3\pi \pi_{slow}$ in data and MonteCarlo. The uncertainty of this measurement will be systematic uncertainty associated to the charged hadron reconstruction in CMS..
CMS-DP-2022-012; CERN-CMS-DP-2022-012.- Geneva : CERN, 2022 - 8 p. Fulltext: PDF;

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2022-05-23
13:52
ECAL performance plots in Run1 + Run2 and breakdown of the contributions to the energy resolution
ECAL performance plots in Run1 + Run2 and breakdown of the contributions to the energy resolution
CMS-DP-2022-011; CERN-CMS-DP-2022-011.- Geneva : CERN, 2022 - 9 p. Fulltext: PDF;

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2022-05-23
13:52
ECAL DeepSC Particle ID
Study of likelihood for the particle to be an electron/photon/jet using Deep super-clustering algorithm..
CMS-DP-2022-010; CERN-CMS-DP-2022-010.- Geneva : CERN, 2022 - 7 p. Fulltext: PDF;

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2022-05-16
15:44
Performance of electron energy calibration in the CMS ECAL using graph neural networks /CMS Collaboration
The Compact Muon Solenoid (CMS) detector is one of two general-purpose detectors on the energy frontier of particle physics at the CERN Large Hadron Collider (LHC). Products of proton-proton collisions at a center of mass energy of 13 TeV are reconstructed in the CMS detector to probe the standard model of particle physics, and to search for processes beyond the standard model. [...]
CMS-DP-2022-009; CERN-CMS-DP-2022-009.- Geneva : CERN, 2022 - 17 p. Fulltext: PDF;

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2022-05-09
12:48
First results from LHC October pilot beam test and laboratory measurements using BCM1F luminometer /CMS Collaboration
To achieve the required high luminosity precision during the Run 3 LHC operations, the fast Beam Condition Monitor (BCM1F) was upgraded. It was rebuilt with new sensors, produced as a part of the Phase 2 Outer Tracker sensor production. [...]
CMS-DP-2022-008; CERN-CMS-DP-2022-008.- Geneva : CERN, 2022 - 12 p. Fulltext: PDF;

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2022-05-02
13:37
ECAL trigger for Run 3
The ECAL trigger team has been investigating the potential use of a second set of L1 amplitude weights. The first set of weights is optimized to provide the correct amplitude for in-time signals. [...]
CMS-DP-2022-007; CERN-CMS-DP-2022-007.- Geneva : CERN, 2022 - 24 p. Fulltext: PDF;

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2022-04-11
15:09
Performance of low-$\text{E}_{\text{T}}$ electrons and photons using 2018 ultraperipheral PbPb /CMS Collaboration
This note presents the performance of low-$\text{E}_{\text{T}}$ electrons and photons, optimized for lead-lead (PbPb) ultraperipheral collisions recorded in 2018 by the CMS experiment. The energy scale and resolution of electromagnetic superclusters are shown, as well as the electron reconstruction+identification and Level-1 electromagnetic cluster efficiencies. [...]
CMS-DP-2022-006; CERN-CMS-DP-2022-006.- Geneva : CERN, 2022 - 10 p. Fulltext: PDF;

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