CERN Accelerating science

CMS Detector Performance Summaries

Ostatnio dodane:
2021-07-27
18:18
Mass regression of highly-boosted jets using graph neural networks /CMS Collaboration
In this note a novel technique is presented, based on machine learning (ML), to reconstruct the mass of hadronically decaying highly Lorentz-boosted heavy particles with the CMS Phase 1 detector. The technique, commonly known as mass regression, is based on ParticleNet [1-3], a graph neural network using an unordered set of jet constituent particles as the input. [...]
CMS-DP-2021-017; CERN-CMS-DP-2021-017.- Geneva : CERN, 2021 - 13 p. Fulltext: PDF;

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2021-06-18
16:33
Validation of Physics Models of Geant4 10.7 using data from CMS Experiment /CMS Collaboration
In the simulation of the CMS experiment, a specific Geant4 physics configuration (Physics List), tuned with dedicated test beam experiments, is used. Test beam data provide measurements of energy response of the calorimeter as well as resolution for well identified charged hadrons over a large energy region. [...]
CMS-DP-2021-014; CERN-CMS-DP-2021-014.- Geneva : CERN, 2021 - 22 p. Fulltext: PDF;

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2021-04-29
12:26
FLUKA Run 2 simulation benchmark with beam loss monitors in the CMS forward region /CMS Collaboration
The FLUKA simulation framework is a general purpose Monte Carlo software for nuclear physics applications. It is commonly used by the CMS collaboration to make estimates on radiation levels in the underground cavern and at specific detector locations. [...]
CMS-DP-2021-008; CERN-CMS-DP-2021-008.- Geneva : CERN, 2021 - 6 p. Fulltext: PDF;

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2021-04-29
12:26
The Phase-1 Pixel Detector Performance in 2018 /CMS Collaboration
The upgraded CMS pixel detector was installed in the extended year-end technical stop of the LHC in 2016/2017. It consists of 124 million pixels arranged in four layers in the barrel region and three end-cap disks on each side of the barrel. [...]
CMS-DP-2021-007; CERN-CMS-DP-2021-007.- Geneva : CERN, 2021 - 19 p. Fulltext: PDF;

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2021-04-29
12:26
GEM Cosmic Ray Muons in 2020 /CMS Collaboration
The CMS muon system plays an important role in the discovery of new physics like the Higgs boson and new particles. The next phase of the LHC is planned to increase luminosity to improve the discovery power. [...]
CMS-DP-2021-006; CERN-CMS-DP-2021-006.- Geneva : CERN, 2021 - 11 p. Fulltext: PDF;

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2021-04-29
12:26
PF Jet Performances at High Level Trigger using Patatrack pixel tracks /CMS Collaboration
As the start of the LHC Run III approaches, there are substantial efforts towards accelerating the Particle Flow (PF) reconstruction at the High Trigger-Level (HLT) to allow new physics searches to probe unexplored regions of parameter space at lower masses and weaker couplings. Since Run II, the quality of pixel track reconstruction has been greatly improved, which in turn allows us to consider using these optimized pixel tracks, called ``Patatrack'' pixel tracks, as inputs to the PF reconstruction algorithm at HLT, leading to significant decrease of processing time. [...]
CMS-DP-2021-005; CERN-CMS-DP-2021-005.- Geneva : CERN, 2021 - 31 p.

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2021-04-06
09:35
B-tagging performance of the CMS Legacy dataset 2018. /CMS Collaboration
Identification of heavy flavour jets, i.e.\,jets containing b or c hadrons, is an essential ingredient of many measurements as well as searches for new physics beyond the standard model at the LHC. In this Detector Performance Summary, the performance of these algorithms is presented for anti-kT jets with radius parameter 0.4 based on Legacy reconstruction of proton-proton collision data recorded by the CMS experiment at 13 TeV in 2018, corresponding to an integrated luminosity of 60 fb$^{-1}$ and compared with expectations based on simulation. [...]
CMS-DP-2021-004; CERN-CMS-DP-2021-004.- Geneva : CERN, 2021 - 20 p. Fulltext: PDF;

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2021-04-06
09:35
CMS Silicon Strip Tracker Performance during Run 2 /CMS Collaboration
The performance of the CMS Silicon Strip Tracker is monitored on a run by run basis using the CMS Offline Data Quality Monitoring Software. Among the quantities that are monitored, there are the overall fraction of bad components, the fractions of bad components broken down by readout partition and the cluster charge normalized to the traversed silicon length. [...]
CMS-DP-2021-003; CERN-CMS-DP-2021-003.- Geneva : CERN, 2021 - 8 p. Fulltext: PDF;

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2021-02-10
11:39
CMS luminosity measurement using nucleus-nucleus collisions in Run 2 /CMS Collaboration
Material about the calibration of the luminosity delivered to the CMS experiment during the lead-lead (PbPb) and xenon-xenon (XeXe) data-taking periods in 2018 and 2017 at nucleon-nucleon center-of-mass energies of 5.02 and 5.44 TeV, respectively, is presented. Three subdetectors are highlighted: the Fast Beam Conditions Monitor (BCM1F), the forward hadron calorimeter (HF), and the Pixel Luminosity Telescope (PLT). [...]
CMS-DP-2021-002; CERN-CMS-DP-2021-002.- Geneva : CERN, 2021 - 14 p. Fulltext: PDF;

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2021-02-10
11:39
Pileup-per-particle identification: optimisation for Run 2 Legacy and beyond /CMS Collaboration
Pileup mitigation techniques are important for performing physics analysis in high pileup scenarios, such as in the data recorded by the CMS Collaboration during Run 2 of the LHC. The pileup per particle identification (PUPPI) algorithm was commissioned with 13 TeV data. [...]
CMS-DP-2021-001; CERN-CMS-DP-2021-001.- Geneva : CERN, 2021 - 32 p. Fulltext: PDF;

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