CERN Accelerating science

CMS Detector Performance Summaries

Nyeste elementer:
2022-12-06
14:51
Early Run 3 tracking performance /CMS Collaboration
It is of great importance to check the agreement of reconstructed track properties between Data and Monte-Carlo simulation using the CMS Tracker Detector. This is necessary to verify the ingredients used to produce large simulated event samples used for physics analysis, but also to benchmark promptly the reconstruction performance against simulation based expectations. [...]
CMS-DP-2022-064; CERN-CMS-DP-2022-064.- Geneva : CERN, 2022 - 16 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-28
17:27
Performance of JetMET high level trigger algorithms in the CMS experiment using proton-proton collisions data at $\sqrt{s}$ = 13 TeV during Run-2 /CMS Collaboration
The performance of the high level trigger (HLT) algorithms involving jets and missing transverse momentum (MET or $\mathrm{p_{T}^{miss}}$) used in the CMS experiment are studied using full Run-2 luminosity of 137.5 $\mathrm{fb}^{-1}$. The analysed proton-proton collision dataset, having centre of mass energy 13 TeV, is recorded using orthogonal trigger algorithms, namely the isolated single muon or single electron triggers. [...]
CMS-DP-2022-063; CERN-CMS-DP-2022-063.- Geneva : CERN, 2022 - 14 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-28
17:27
CSC High Multiplicity Trigger in Run 3 /CMS Collaboration
This note presents the performances of a new trigger deployed during the LHC 2022 data taking, aiming at selecting hadronic showers developing in the Cathode Strips Chambers (CSC)..
CMS-DP-2022-062; CERN-CMS-DP-2022-062.- Geneva : CERN, 2022 - 6 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-28
17:27
Progress towards an improved particle flow algorithm at CMS with machine learning
The particle-flow (PF) algorithm is of central importance to event reconstruction in the CMS experiment at the CERN LHC, and has been a focus of developments in light of planned Phase-2 running conditions with an increased pileup and detector granularity. Current rule-based implementations rely on extrapolating tracks to the calorimeters, correlating them with calorimeter clusters, subtracting charged particle energy and inferring neutral particles from significant energy deposits. [...]
CMS-DP-2022-061; CERN-CMS-DP-2022-061.- Geneva : CERN, 2022 - 18 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-28
17:27
Particle Flow Reconstruction on Heterogeneous Architecture for CMS /CMS Collaboration
The Particle Flow (PF) algorithm, used for a majority of CMS data analyses for event reconstruction, provides a comprehensive list of final-state state particle candidates and enables efficient identification and mitigation methods for simultaneous proton-proton collisions (pileup). The higher instantaneous luminosity expected during the upcoming LHC Run 3 will impose challenges for CMS event reconstruction. [...]
CMS-DP-2022-060; CERN-CMS-DP-2022-060.- Geneva : CERN, 2022 - 7 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-21
14:05
DT Phase 2 Slice Test performance in early Run 3 collisions /CMS Collaboration
During Long Shutdown 2 one sector of the CMS DT detector has been instrumented with front-end and back-end prototypes of the DT Phase-2 upgrade electronics intended to operate during HL-LHC. The chamber FE signals are split and fed into both the legacy system and this new electronics. One of the backend boards runs the so-called Analytical Method firmware, which generates the trigger primitives. This way, both Phase-1 and Phase-2 electronics can be run inside the CMS infrastructure, and the trigger firmware can be validated under realistic conditions. The information extracted from Phase-2 primitives is compared with Phase-1 segments. Some performance results are presented in this note..
CMS-DP-2022-059; CERN-CMS-DP-2022-059.- Geneva : CERN, 2022 - 18 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-21
14:04
ECAL DeepSC: Optimization of the DeepSC model inference strategy for reconstruction speedup /CMS Collaboration
Optimisation of the ECAL Deep Super-clustering model inference strategy for reconstruction speedup
CMS-DP-2022-058; CERN-CMS-DP-2022-058.- Geneva : CERN, 2022 - 14 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-21
14:04
Reconstruction of unconverted photons in the presence of high pileup at the CMS Phase-2 High Granularity Endcap Calorimeter /CMS Collaboration
The CMS Collaboration foresees the installation of a novel endcap calorimeter, named High-Granularity CALorimeter (HGCAL), to sustain the harsher conditions of the High-Luminosity LHC (HL-LHC). The new calorimeter will predominantly use silicon sensors to achieve sufficient radiation tolerance and will exploit highly granular information to achieve high performance object reconstruction and mitigate the effects of the pile up. [...]
CMS-DP-2022-057; CERN-CMS-DP-2022-057.- Geneva : CERN, 2022 - 14 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-21
14:04
Trigger-less readout and unbiased data quality monitoring of the CMS drift tubes muon detector /CMS Collaboration
The CMS experiment 40MHz data scouting project is aimed at intercepting the data produced at the level of the detectors' front-end without the filters induced by hardware-based triggers. A first implementation is realized by the trigger-less reading and processing of a fraction of the Drift Tube (DT) muon detector, equipped with a preliminary version of the Phase-2 Upgrade on-detector electronics boards. The data are transferred via high-speed optical links to back-end boards independently from the central experiment data acquisition (DAQ). This permits real-time monitoring of detector status, based on all signals produced at the front-end level, and provides an unbiased estimate of the CMS DT hit-rate under various data-taking conditions..
CMS-DP-2022-055; CERN-CMS-DP-2022-055.- Geneva : CERN, 2022 - 6 p. Fulltext: PDF;

Detaljert visning - Lignende elementer
2022-11-21
14:04
Jet Energy Scale and Resolution Measurements Using Prompt Run3 Data Collected by CMS in the First Months of 2022 at 13.6 TeV /CMS Collaboration
We present jet energy scale and resolution measurements with promptly reconstructed Run3 data collected by CMS in the first months of 2022 at 13.6 TeV..
CMS-DP-2022-054; CERN-CMS-DP-2022-054.- Geneva : CERN, 2022 - 12 p. Fulltext: PDF;

Detaljert visning - Lignende elementer