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CMS Detector Performance Summaries

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2023-05-24
09:58
Jet Reconstruction with the Seeded Cone algorithm in the CMS Phase-2 Level-1 Trigger /CMS Collaboration
The Phase-2 upgrade of the CMS detector for the High Luminosity upgrade of the LHC (HL-LHC) [CMS-TDR-021] includes the introduction of many new capabilities into the Level-1 trigger, including tracking and the new high-granularity calorimeter. The combination of the precise information coming from the muon, calorimeter and tracking system will allow particle candidates to be reconstructed with the Particle Flow algorithm. [...]
CMS-DP-2023-023; CERN-CMS-DP-2023-023.- Geneva : CERN, 2023 - 11 p. Fulltext: PDF;

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2023-05-24
09:58
Continual Learning in the CMS Phase-2 Level-1 Trigger /CMS Collaboration
Machine Learning (ML) algorithms are a key enhancement of the CMS Level-1 (L1) Trigger Phase-2 upgrade. However, they may lack robustness against domain shift due to changing experimental conditions. [...]
CMS-DP-2023-022; CERN-CMS-DP-2023-022.- Geneva : CERN, 2023 - 16 p. Fulltext: PDF;

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2023-05-22
15:30
First Data Taken with the Level-1 Data Scouting System /CMS Collaboration
The Level-1 40 MHz data scouting system will record trigger objects created by the Phase-2 Level-1 trigger at the bunch crossing rate, enabling novel analyses and improving monitoring capabilities. At the end of 2018 and from the beginning of LHC Run-3 a demonstrator system has been in operation, taking data initially from the CMS Phase-1 Global Muon Trigger and recently, from mid-2021, also from the CMS Phase-1 Calorimeter Trigger. First data obtained this novel system are shown here. [...]
CMS-DP-2023-026; CERN-CMS-DP-2023-026.- Geneva : CERN, 2023 - 7 p. Fulltext: PDF;

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2023-05-22
15:30
40MHz Scouting Muon Studies /CMS Collaboration
The 40MHz Scouting system is a novel data acquisition system, parallel to the Level-1 trigger, that collects the Level-1 trigger primitives at the full bunch crossing rate. It was first demonstrated in 2018 at the end of Run 2 and the system has been updated for Run 3. The Run 3 demonstrator captures data from multiple sources: the outputs of the Global Muon Trigger (GMT), data from Calorimeter Layer 2 and the Global Trigger (GT) and the inputs of the Barrel Muon Track Finder (BMTF)..
CMS-DP-2023-025; CERN-CMS-DP-2023-025.- Geneva : CERN, 2023 - 12 p. Fulltext: PDF;

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2023-05-22
15:30
Performance of tau lepton reconstruction at High Level Trigger using 2022 data from the CMS experiment at CERN /CMS Collaboration
Using machine learning techniques, the tau reconstruction algorithm in the high level trigger (HLT) was upgraded in preparation for Run3. The performance of tau triggers utilised in the 2022 data acquisition is presented in this note..
CMS-DP-2023-024; CERN-CMS-DP-2023-024.- Geneva : CERN, 2023 - 11 p. Fulltext: PDF;

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2023-05-02
11:45
Performance of the ParticleNet tagger on small and large-radius jets at High Level Trigger in~Run~3 /CMS Collaboration
For Run 2022, the ParticleNet tagger aiming at identifying b-jets signatures and resonances decaying to a pair of b-jets X$\rightarrow$bb was deployed at the High Level Trigger. The following studies show the ParticleNet performance on small-radius jets ($\Delta$R=0.4) for simulated b jets compared to the performance of DeepJet and DeepCSV taggers standardly used in Run 2. [...]
CMS-DP-2023-021; CERN-CMS-DP-2023-021.- Geneva : CERN, 2023 - 8 p. Fulltext: PDF;

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2023-05-02
11:45
CPU performance evolution of Full and Fast simulations from Run-2 to Run-3/CMSSW\_13\_0\_0 /CMS Collaboration
The following plots show historical trends of the CMS detector Full and Fast Simulation CPU time performance of Run-2/13 TeV and Run-3/14 TeV data. Fast Simulation provides a fast and reliable alternative tool to the Geant-based Full Simulation. [...]
CMS-DP-2023-020; CERN-CMS-DP-2023-020.- Geneva : CERN, 2023 - 6 p. Fulltext: PDF;

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2023-05-02
11:45
Performance of Line Segment Tracking algorithm at HL-LHC /CMS Collaboration
This note documents the performance of the Line Segment Tracking (LST) algorithm. The LST algorithm performs combining hits in local regions of the detector in parallel on GPU. [...]
CMS-DP-2023-019; CERN-CMS-DP-2023-019.- Geneva : CERN, 2023 - 27 p. Fulltext: PDF;

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2023-04-17
15:48
Performance of DeepJet b-tagging algorithms at High Level Trigger using Run 3 data from the CMS Experiment /CMS Collaboration
The performance of DeepJet b-tagging at High Level Trigger is studied on 35.1\,fb$^{-1}$ of data recorded by the CMS Experiment in 2022 with a center-of-mass energy of $\sqrt{s} =$ 13.6\,TeV. No dependence of b-tagging performance on increased instantaneous luminosity was observed. As expected, the b-tagging triggers accept jets with higher offline b-tagging values compared to a reference trigger..
CMS-DP-2023-018; CERN-CMS-DP-2023-018.- Geneva : CERN, 2023 - 12 p. Fulltext: PDF;

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2023-04-17
15:48
Performance of Muon High Level Trigger in the CMS Experiment using pp Collision data at $\sqrt{s}$=13.6 TeV in 2022 /CMS Collaboration
In Run3 preparation, the muon reconstruction algorithm in high level trigger (HLT) was upgraded using machine learning techniques. This note presents the performances of muon triggers run during the 2022 data taking..
CMS-DP-2023-017; CERN-CMS-DP-2023-017.- Geneva : CERN, 2023 - 17 p. Fulltext: PDF;

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