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CERN Document Server Sök i 518,698 journaler efter:  börjaföregående61 - 70nästaslut  gå till journal: Sökningen tog 0.91 sekunder. 
61.
Trigger Algorithms for Alignment and Calibration at CMS during LHC Run 3 / Nattland, Philipp (Aachen, Tech. Hochsch.) /CMS Collaboration
During LHC Run 3, the CMS experiment faces challenging pileup and high event rate conditions. To efficiently select events of interest, CMS utilizes a two-tiered triggering system. [...]
CMS-CR-2025-189.- Geneva : CERN, 2025 - 8 p. Fulltext: PDF;
In : 2025 European Physical Society Conference on High Energy Physics (EPS-HEP 2025), Marseille, France, 7 - 11 Jul 2025
Detaljerad journal
62.
Raw Data Reduction in the CMS Experiment for Run-3 and Phase-2 / Nandan, Saswati (INFN, Pisa) /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-CR-2025-190.- Geneva : CERN, 2025 - 7 p. Fulltext: PDF;
In : 2025 European Physical Society Conference on High Energy Physics (EPS-HEP 2025), Marseille, France, 7 - 11 Jul 2025
Detaljerad journal
63.
Trigger Algorithms for Alignment and Calibration at CMS during LHC Run 3 / Nattland, Philipp (Aachen, Tech. Hochsch.) /CMS Collaboration
During LHC Run 3, the CMS experiment faces challenging pileup and high event rate conditions. To efficiently select events of interest, CMS utilizes a two-tiered triggering system. [...]
CMS-CR-2025-189.- Geneva : CERN, 2025 - 8 p. Fulltext: PDF;
In : 2025 European Physical Society Conference on High Energy Physics (EPS-HEP 2025), Marseille, France, 7 - 11 Jul 2025
Detaljerad journal
64.
LHC Results at 13.6 TeV (ATLAS and CMS) / Pieri, Marco (UC, San Diego) /ATLAS and CMS Collaborations
The first two years of the LHC Run 3 and the first physics results obtained by the ATLAS and CMS Collaborations at the proton-proton center of mass of 13.6 TeV are presented. Both detectors underwent several upgrades in view of Run 3 and the trigger and reconstructions have been further improved. [...]
CMS-CR-2025-133.- Geneva : CERN, 2025 - 10 p. Fulltext: PDF;
In : 42nd International Symposium on Physics in Collision, Arica, Cl, 10 - 13 Oct 2023
Detaljerad journal
65.
Performance of the front-end electronics of the CMS electromagnetic calorimeter barrel for the High-Luminosity LHC / The CMS electromagnetic calorimeter group
The performance of the CMS electromagnetic calorimeter upgraded readout electronics, developed for the High-Luminosity phase of the LHC, is discussed. Data collected in two beam test campaigns conducted in 2018 and 2021 at the H4 and H2 beam lines of the CERN SPS are analyzed. [...]
CMS-NOTE-2025-013; CERN-CMS-NOTE-2025-013.- Geneva : CERN, 2025 - 23 p. Fulltext: PDF;
Detaljerad journal
66.
The Histogram Similarity Based Strategy for Performance Improvement of Multi-Class Classification with the Simulated CMS-HGCAL Data in Level-1 Trigger / Burazin Misura, Arijana (Split Tech. U.) ; Music, Josip (Split Tech. U.) ; Prvan, Marina (Split Tech. U.) ; Linda Vickovic
In the upcoming High-Luminosity (HL) phase of the Large Hadron Collider (LHC), the rates of proton-proton collisions will increase significantly, resulting in a substantial amount of data, including soft collisions or pile-up (PU). This study develops an algorithm for real-time selection of significant collision data in the Level 1 Trigger (L1T) system for the High Granularity Calorimeter (HGCAL) in the Compact Muon Solenoid (CMS) detector upgraded for the HL era. To conduct multi-class selection based on four types of data - electromagnetic showers (EM), PU, quantum chromodynamics (QCD) jets, and single pions, two machine learning architectures are explored: Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP). [...]
CMS-NOTE-2025-012; CERN-CMS-NOTE-2025-012.- Geneva : CERN, 2025 - 25 p. Fulltext: PDF;
Detaljerad journal
67.
Performance of GPU-accelerated lossless compression for CMS Data using ROOT TTree and RNTuple /CMS Collaboration
Efficient lossless compression is necessary to reduce storage while maintaining accurate physics performance. This note reports on the performance of lossless compression algorithms for RAW data storage in Run 3 and Phase 2 simDigis, comparing new RNTuple data format with TTree format..
CMS-DP-2025-078; CERN-CMS-DP-2025-078.- Geneva : CERN, 2025 - 25 p. Fulltext: PDF;
Detaljerad journal
68.
SimPixelTracks: A new tool for analyzing Patatrack pixel tracking performance /CMS Collaboration
This note introduces SimPixelTracks, a new tool for evaluating the performance of Patatrack pixel tracking in the CMS experiment. It provides simulation truth for all intermediate objects of the Patatrack algorithm and knows how those objects are treated in the actual reconstruction code. [...]
CMS-DP-2025-077; CERN-CMS-DP-2025-077.- Geneva : CERN, 2025 - 36 p. Fulltext: PDF;
Detaljerad journal
69.
Performance of CMS pixel tracking at the High-Level Trigger for Phase-2 /CMS Collaboration
This note compares the physics and computing performance of the current and improved pixel tracking algorithms for the CMS experiment in Phase-2, with a focus on their application in the High-Level Trigger..
CMS-DP-2025-076; CERN-CMS-DP-2025-076.- Geneva : CERN, 2025 - 39 p.
Detaljerad journal
70.
Physics performance studies of the HGCAL trigger primitive generation system /CMS Collaboration
This note presents recent developments and performance studies of the HGCAL Trigger Primitive Generation (TPG) system, with a primary focus on algorithmic strategies for assigning Module Sums and Trigger Cells or Super Trigger Cells (TCs/STCs) to Partial Trigger Towers (PTTs) in the Stage 1 of the HGCAL Backend. These strategies are designed to optimise energy reconstruction and achieve a precise, consistent mapping of detector signals to trigger primitives while respecting firmware constraints. [...]
CMS-DP-2025-075; CERN-CMS-DP-2025-075.- Geneva : CERN, 2025 - 15 p. Fulltext: PDF;
Detaljerad journal

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