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CMS Detector Performance Summaries

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2025-09-01
11:27
Performance of mkFit and LST algorithms in the CMS Phase-2 High Level Trigger Tracking /CMS Collaboration
This note presents results on the performance of mkFit and LST algorithms in the CMS Phase-2 High Level Trigger (HLT) Tracking
CMS-DP-2025-051; CERN-CMS-DP-2025-051.- Geneva : CERN, 2025 - 21 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-09-01
11:27
Debiasing Ultrafast Anomaly Detection with Posterior Agreement /CMS Collaboration
The Level-1 Trigger system of the CMS experiment at CERN makes the final decision on which LHC collision data are stored to disk for later analysis. One algorithm used with this scope is an anomaly detection model based on an autoencoder architecture. [...]
CMS-DP-2025-050; CERN-CMS-DP-2025-050.- Geneva : CERN, 2025 - 40 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-09-01
11:27
Performance Comparison of Lossless Compression Algorithms on CMS Data using ROOT TTree and RNTuple /CMS Collaboration
This note reports on the performance of lossless compression algorithms for RAW data storage in Run 3 and Phase 2 simDigis, comparing the new RNTuple data format with the TTree format..
CMS-DP-2025-049; CERN-CMS-DP-2025-049.- Geneva : CERN, 2025 - 24 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-09-01
11:27
Extended ML Selections andTrack Embeddings for Duplicate Removal in Line Segment Tracking (LST) /CMS Collaboration
This note describes recent improvements to the CMS Line Segment Tracking algorithm through the further integration of deep neural network (DNN) selections and a new ML-based duplicate removal strategy
CMS-DP-2025-048; CERN-CMS-DP-2025-048.- Geneva : CERN, 2025 - 43 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-09-01
11:27
Performance of boosted tau lepton identification with DeepTau Framework (Boosted DeepTau) /CMS Collaboration
This note presents a dedicated identification algorithm targeting individual hadronic tau leptons ($\tau_\mathrm{h}$) within boosted ditau systems. Based on the DeepTau architecture used for resolved $\tau_\mathrm{h}$, the Boosted DeepTau algorithm achieves a factor of 2--4 improvement in the rejection of jets for individual $\tau_\mathrm{h}$ candidates with $p_\mathrm{T}$ $<$ 100 GeV, and an order of magnitude improvement at higher $p_\mathrm{T}$. [...]
CMS-DP-2025-047; CERN-CMS-DP-2025-047.- Geneva : CERN, 2025 - 15 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-09-01
11:27
MEMFlow: Computing the Matrix Element Method with generative machine learning /CMS Collaboration
The Matrix Element Method (MEM) is a well motivated multivariate technique to access the likelihood of an observed event given a hypothesis. It offers optimal statistical power for hypothesis testing in particle physics, but it is limited by the computation of the intensive multi-dimensional integrals required to model detector and theory effects. We present a novel approach that addresses this challenge by employing Transformers and generative machine learning (ML) models. [...]
CMS-DP-2025-046; CERN-CMS-DP-2025-046.- Geneva : CERN, 2025 - 29 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-07-28
13:21
An Energy Correlation Function Tagger for Gluon-Gluon Resonances /CMS Collaboration
This note presents a tagging method for the discrimination of processes with two final state gluons from the dominant QCD background. The tagging model is a boosted decision tree that uses energy correlation functions as input features. [...]
CMS-DP-2025-045; CERN-CMS-DP-2025-045.- Geneva : CERN, 2025 - 21 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-07-28
13:21
A First Look Into Jet Energy Scale With Early 2025 Data /CMS Collaboration
We present the jet energy scale measurement with promptly reconstructed 13.6 TeV proton-proton collisions data collected by CMS in the first months of 2025..
CMS-DP-2025-044; CERN-CMS-DP-2025-044.- Geneva : CERN, 2025 - 7 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-07-23
18:03
TROTA performance /CMS Collaboration
Identifying boosted hadronic top quarks poses a significant challenge within the CMS physics program, particularly in Standard Model measurements and searches for new phenomena. There are many excellent tools available for identifying wide-angle jets with top quark flavor. However, to enhance reconstruction and selection efficiencies for signal events including top quarks, an approach extending beyond large radius jets is necessary. [...]
CMS-DP-2025-043; CERN-CMS-DP-2025-043.- Geneva : CERN, 2025 - 27 p. Fulltext: PDF;

დეტალური ჩანაწერი
2025-07-23
18:03
Jet Energy Scale and Resolution Measurements Using Run3 Data Collected by the CMS experiment in 2024 at 13.6 TeV /CMS Collaboration
We present a measurement of the jet energy scale and resolution for data collected by the CMS in 2024 in scope of Run3 at 13.6 TeV..
CMS-DP-2025-042; CERN-CMS-DP-2025-042.- Geneva : CERN, 2025 - 14 p. Fulltext: PDF;

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