2025-07-14
14:46 |
დეტალური ჩანაწერი
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2025-07-14
14:45 |
დეტალური ჩანაწერი
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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;
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დეტალური ჩანაწერი
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2025-07-07
12:49 |
დეტალური ჩანაწერი
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2025-07-07
12:49 |
დეტალური ჩანაწერი
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2025-07-07
12:49 |
დეტალური ჩანაწერი
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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;
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დეტალური ჩანაწერი
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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;
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დეტალური ჩანაწერი
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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;
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დეტალური ჩანაწერი
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2025-06-23
11:04 |
დეტალური ჩანაწერი
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