CERN Accelerating science

CMS Detector Performance Summaries

Darreres entrades:
2026-05-19
13:19
Full simulation performance for Run 3 and Run 4 /CMS Collaboration
In this note, several results of recent development for CMS simulation are presented. The historical trends in CPU performance for the CMS detector in Full and Fast simulation are shown from Run 2 to Run 3 and for the Run 4 configuration. [...]
CMS-DP-2026-035; CERN-CMS-DP-2026-035.- Geneva : CERN, 2026 - 20 p. Fulltext: PDF;

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2026-05-19
13:19
Automation of monitoring and derivation of Jet Energy Corrections for the CMS detector at CERN with JEC4Prompt using Run3 Data /CMS Collaboration
The precise calibration of jet energy is a critical component of the physics program at the CMS experiment. As we transition toward the High-Luminosity LHC (HL-LHC) era, maintaining and increasing this precision becomes increasingly challenging. [...]
CMS-DP-2026-034; CERN-CMS-DP-2026-034.- Geneva : CERN, 2026 - 18 p. Fulltext: PDF;

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2026-05-19
13:19
Towards the Usage of FlashSim End-to-End Simulation to Physics Analysis /CMS Collaboration
FlashSim is a deep learning-based end-to-end simulation framework developed by the CMS Collaboration to provide fast, accurate, and analysis-agnostic simulation of NanoAOD-level variables from generator-level inputs. This note presents the recent advancements made to the FlashSim framework. [...]
CMS-DP-2026-033; CERN-CMS-DP-2026-033.- Geneva : CERN, 2026 - 15 p. Fulltext: PDF;

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2026-05-19
13:19
CMS track reconstruction properties in 2025 /CMS Collaboration
This note reports on the results of comparisons between data and Monte Carlo simulated events for tracking-related reconstructed observables. The analyzed data were collected during 13.6 TeV proton-proton collisions in 2025. [...]
CMS-DP-2026-032; CERN-CMS-DP-2026-032.- Geneva : CERN, 2026 - 30 p. Fulltext: PDF;

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2026-05-19
13:18
Application of mkFit to track fitting for CMS Phase-2 tracking at the HLT /CMS Collaboration
This note discusses the status of the mkFit developments for track fitting in the context of Phase-2 High Level Trigger (HLT) developments. CMS track reconstruction sequences consist of three main steps: track seeding, pattern recognition, or track building and track fitting. [...]
CMS-DP-2026-031; CERN-CMS-DP-2026-031.- Geneva : CERN, 2026 - 16 p. Fulltext: PDF;

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2026-05-19
13:18
Using Line Segment Tracking to enable ML-based Track Reconstruction in Phase-2 of the CMS Experiment /CMS Collaboration
High-pileup conditions in the CMS detector during the HL-LHC era make charged-particle tracking increasingly challenging as detector occupancy and combinatorics grow. We present a hybrid approach that exploits Line Segment Tracking (LST) objects rather than individual hits to enable the first CMS ML-based track reconstruction algorithm. [...]
CMS-DP-2026-030; CERN-CMS-DP-2026-030.- Geneva : CERN, 2026 - 21 p. Fulltext: PDF;

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2026-05-19
13:18
Extending the reconstruction of Phase-2 displaced tracks using Line Segment Tracking /CMS Collaboration
High-pileup conditions in the CMS detector during the HL-LHC era make charged-particle tracking increasingly challenging as detector occupancy and combinatorics grow. The Line Segment Tracking (LST) algorithm is a parallelizable, hardware-agnostic algorithm designed for the CMS Phase-2 Outer Tracker (OT). [...]
CMS-DP-2026-029; CERN-CMS-DP-2026-029.- Geneva : CERN, 2026 - 13 p. Fulltext: PDF;

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2026-05-18
19:26
Physics Performance assessment of the Run 3 Optimal Calibrations Next Generation Triggers Demonstrator /CMS Collaboration
This note presents an assessment of the physics performance of the High-Level Trigger (HLT) reconstruction, in which buffered data are reprocessed by the Next Generation Triggers (NGT) Run-3 Optimal Calibration demonstrator using updated detector calibrations. The results showcase that the optimal calibration architecture yields significant improvements in physics performance, especially for e/$\gamma$ objects. [...]
CMS-DP-2026-028; CERN-CMS-DP-2026-028.- Geneva : CERN, 2026 - 37 p. Fulltext: PDF;

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2026-05-18
19:26
BDT-based topological trigger for HH events in the CMS High-Level Trigger /CMS Collaboration
This note presents a novel machine-learning-based trigger algorithm developed for the High-Level Trigger (HLT) system of the CMS experiment. The algorithm, referred to as HLT TOPO, is a topological trigger based on a Boosted Decision Tree (BDT), and is designed to enhance the trigger acceptance, and thus the sensitivity, to the soft phase-space of Higgs boson (HH) pair production. [...]
CMS-DP-2026-027; CERN-CMS-DP-2026-027.- Geneva : CERN, 2026 - 20 p. Fulltext: PDF;

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2026-05-18
19:26
A heterogeneous & vectorized sequence for the Phase 2 HLT tracking reconstruction /CMS Collaboration
This note presents a newly implemented heterogeneous and vectorized tracking sequence for the Phase 2 High-Level Trigger (HLT) system of the CMS experiment, and discusses its physics and computing performance compared to the previous one..
CMS-DP-2026-026; CERN-CMS-DP-2026-026.- Geneva : CERN, 2026 - 35 p. Fulltext: PDF;

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