CERN Accelerating science

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

CMS Detector Performance Summaries

Search 788 records for:
Search Tips :: Simple Search
Added/modified since: until:
Sort by: Display results: Output format:
Latest additions:
2025-07-14
14:46
ECAL performance and ES alignment with early 2025 data /CMS Collaboration
ECAL performance and ES alignment with early 2025 data
CMS-DP-2025-039; CERN-CMS-DP-2025-039.- Geneva : CERN, 2025 - 8 p. Fulltext: PDF;

Detailed record
2025-07-14
14:45
ECAL performance with reprocessed 2024 data /CMS Collaboration
ECAL performance with reprocessed 2024 data..
CMS-DP-2025-038; CERN-CMS-DP-2025-038.- Geneva : CERN, 2025 - 16 p. Fulltext: PDF;

Detailed record
2025-07-07
14:14
Track time uncertainties at the point of closest approach computed with MTD /CMS Collaboration
An assessment of the uncertainty on the time at the point of closest approach for tracks with time computed by the MIP Timing Detector [1] is reported in this summary, together with a study on the uncertainty on the reconstructed length of the track. The reconstructed length of the track is essential to the evaluation of the Time-of-Flight of the particle between the point of closest approach and the MIP Timing Detector and is therefore an important part of the reconstruction of an event with the usage of this novel detector..
CMS-DP-2025-037; CERN-CMS-DP-2025-037.- Geneva : CERN, 2025 - 10 p. Fulltext: PDF;

Detailed record
2025-07-07
12:49
A novel track finding algorithm to identify b hadron in b jets using FusionNet: a geometric deep learning model /CMS Collaboration
Understanding the substructure of jets initiated by heavy-flavour quarks is essential for quantum chromodynamics (QCD) studies, particularly in the context of the dead-cone effect and jet quenching. The kinematics of b hadron decays present a challenge for substructure measurements with inclusive b jets. [...]
CMS-DP-2025-035; CERN-CMS-DP-2025-035.- Geneva : CERN, 2025 - 18 p. Fulltext: PDF;

Detailed record
2025-07-07
12:49
Longevity and eco-gas studies in the CMS cathode strip chamber muon detector /CMS Collaboration
The cathode strip chambers (CSCs) of the CMS experiment are a type of multi-wire proportional chamber that operates with a mixture of Ar, CO$_2$, and CF$_4$ gases. CF$_4$ is a well known component preventing aging of the anode wires. [...]
CMS-DP-2025-036; CERN-CMS-DP-2025-036.- Geneva : CERN, 2025 - 11 p. Fulltext: PDF;

Detailed record
2025-07-07
12:49
Output rates and bandwidth of the High-Level Trigger during early 2025 proton-proton runs /CMS Collaboration
This note presents selected results on the output rates and bandwidth of the CMS High-Level Trigger (HLT) during the early 2025 proton-proton (pp) run at sqrt(s) = 13.6 TeV..
CMS-DP-2025-034; CERN-CMS-DP-2025-034.- Geneva : CERN, 2025 - 10 p. Fulltext: PDF;

Detailed record
2025-07-07
12:49
Machine-Learned Particle-Flow Reconstruction with Transformer Models in CMS /CMS Collaboration
The particle-flow (PF) algorithm provides a global event description for each collision in terms of a comprehensive list of final-state particles. It 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 high-luminosity running conditions with increased pileup and detector granularity. [...]
CMS-DP-2025-033; CERN-CMS-DP-2025-033.- Geneva : CERN, 2025 - 16 p. Fulltext: PDF;

Detailed record
2025-06-23
11:04
Multiclass object tagging in the CMS Phase-2 Level-1 Correlator Trigger /CMS Collaboration
Following developments in offline jet flavour tagging, this note introduces a new machine learning (ML) based multiclass jet tagging for the Phase-2 Upgrade of the CMS Level-1 Trigger (L1T), trained on a variety of target classes. Jet tagging will take place in the Correlator subsystem of the Phase-2 L1T. [...]
CMS-DP-2025-032; CERN-CMS-DP-2025-032.- Geneva : CERN, 2025 - 23 p. Fulltext: PDF;

Detailed record
2025-06-23
11:04
Data Reduction of the strip detector of the CMS Experiment for heavy ion collisions and proton-proton collisions /CMS Collaboration
Reducing event and data sizes is critical for experiments at the LHC, where high collision rates and increased detector granularity rapidly increase storage and processing requirements. In the CMS experiment, a recent development to address this challenge is the "Raw'" format: a new approach for recording silicon strip data in which only the reconstructed cluster's barycenter and average charge are stored, rather than the analog-to-digital converter counts from every strip. [...]
CMS-DP-2025-031; CERN-CMS-DP-2025-031.- Geneva : CERN, 2025 - 27 p. Fulltext: PDF;

Detailed record
2025-06-23
11:04
Anomaly detection for the CMS Pixel Barrel Data Quality with Machine Learning models /CMS Collaboration
CMS Offline Data Quality relies on the human inspection of hundreds of histograms, to classify data as Good or Bad for physics analyses. However, this process is prone to human error, such as oversights, misinterpretations, or subjective assessments. [...]
CMS-DP-2025-030; CERN-CMS-DP-2025-030.- Geneva : CERN, 2025 - 15 p. Fulltext: PDF;

Detailed record