2025-11-17
11:18 |
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2025-11-17
11:18 |
Jet Mass Reconstruction 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) includes the introduction of many new capabilities into the Level-1 trigger (L1T) subsystem. The latency will increase to $\sim$12.5 $\mu$s and the output bandwidth will increase to $\sim$750 kHz, while tracking and high-granularity calorimeter information will be available for the first time. [...]
CMS-DP-2025-080; CERN-CMS-DP-2025-080.-
Geneva : CERN, 2025 - 18 p.
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2025-11-17
11:18 |
Quality Control of the OBDT\_Theta board production for the Drift Tube Phase 2 Upgrade
/CMS Collaboration
A dedicated test setup has been prepared at the CIEMAT laboratory in Madrid to perform the quality control of the new electronics boards produced for the Phase-2 Upgrade of the CMS Drift Tubes detector.
A custom software framework was developed to select and efficiently execute a range of relevant tests, with the results analyzed and stored for future reference.
This note presents a description of the setup and some of the results obtained from the first 137 OBDT\_Theta boards tested..
CMS-DP-2025-079; CERN-CMS-DP-2025-079.-
Geneva : CERN, 2025 - 14 p.
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2025-11-10
10:38 |
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.
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2025-11-10
10:38 |
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.
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2025-11-10
10:38 |
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.
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2025-11-10
10:38 |
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.
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2025-10-20
12:40 |
Validation of tau identification algorithms in Run 3 data and simulation
/CMS Collaboration
This note presents the performance of the identification of hadronic tau lepton decays ($\tau_\mathrm{h}$) across different run conditions. Data collected by the CMS detector in 2024 and 2025 are compared to the same Monte Carlo simulation. [...]
CMS-DP-2025-074; CERN-CMS-DP-2025-074.-
Geneva : CERN, 2025 - 21 p.
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2025-10-20
12:40 |
Comparison of the performance of tau reconstruction and identification algorithms in Run 3
/CMS Collaboration
In recent years, the CMS experiment has made several advancements in the identification of hadronically decaying tau leptons ($\tau_\mathrm{h}$) using advanced machine learning (ML) techniques. This note provides a comparison between the three ML-based $\tau_\mathrm{h}$ identification algorithms deployed by the CMS Collaboration during the LHC Run 3: DeepTau, PNet, and UParT. [...]
CMS-DP-2025-073; CERN-CMS-DP-2025-073.-
Geneva : CERN, 2025 - 22 p.
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2025-10-20
12:40 |
DT Background in 2025
/CMS Collaboration
The background intensities in different regions of the CMS Drift Tube detector were measured both online (using the currents drawn by the High Voltage power supplies) and offline (using the hit rates observed in proton proton collisions recorded with a minimum bias trigger). The two methods provided consistent results and particularly highlighted the effect of the forward shield installed during the previous Year End Technical Stop (YETS). [...]
CMS-DP-2025-072; CERN-CMS-DP-2025-072.-
Geneva : CERN, 2025 - 22 p.
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