2022-01-27
14:37 |
Detaljnije - Slični zapisi
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2022-01-13
13:27 |
Performance of the DT Phase-2 readout and local reconstruction with cosmic ray data from the DT slice-test
/CMS Collaboration
The Phase 2 upgrade of the CMS Drift Tubes electronics targets the detector operation at HL-LHC and will be carried out during LHC Long Shutdown 3: its goal is to make the DT local trigger able to sustain the rates expected at HL-LHC, while improving at the same time its time resolution. In Long Shutdown 2 a Slice Test was setup by equipping four DT chambers, in the same sector, with Phase 2 prototype on-board electronics, streaming data to the readout in parallel with the legacy system. [...]
CMS-DP-2021-036; CERN-CMS-DP-2021-036.-
Geneva : CERN, 2021 - 8 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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2022-01-13
13:27 |
Tracker DQM Machine Learning studies for data certification
/CMS Collaboration
At CMS, the procedure of data certification ensures the good functioning of the detector and hence the validity of the data for physics analysis. Currently, the certification is performed by checking manually a large amount of distributions. [...]
CMS-DP-2021-034; CERN-CMS-DP-2021-034.-
Geneva : CERN, 2021 - 15 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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2021-12-10
14:21 |
Detaljnije - Slični zapisi
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2021-12-06
22:36 |
Detaljnije - Slični zapisi
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2021-12-06
22:36 |
ECAL SuperClustering with Machine Learning
/CMS Collaboration
In this note, we present a novel electron/photon super-clustering algorithm based on Graph Neural Networks (GNN). This new approach has much better resolution and better energy purity even at high pile-up compared to the algorithm used during Run 2..
CMS-DP-2021-032; CERN-CMS-DP-2021-032.-
Geneva : CERN, 2021 - 11 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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2021-12-06
22:36 |
Machine Learning for Particle Flow Reconstruction at CMS
/CMS Collaboration
We provide details on the implementation of a machine-learning based particle flow algorithm for CMS. The standard particle flow algorithm reconstructs stable particles based on calorimeter clusters and tracks and is essential for physics analyses involving jets and missing transverse energy. [...]
CMS-DP-2021-030; CERN-CMS-DP-2021-030.-
Geneva : CERN, 2021 - 36 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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2021-12-06
22:36 |
Analytical Method (AM) for DT Trigger Primitive Generation in Phase 2. Performance results on simulation
/CMS Collaboration
A full replacement of the muon trigger system in the CMS (Compact Muon Solenoid) detector is envisaged for operating at the maximum instantaneous luminosities expected in HL-LHC (High Luminosity Large Hadron Collider) of about 5-7.5x10$^{34}$cm$^{-2}$s$^{-1}$. Under this scenario, the new on detector electronics that is being designed for the DT (Drift Tubes) detector will forward all the chamber information at its maximum time resolution. [...]
CMS-DP-2021-028; CERN-CMS-DP-2021-028.-
Geneva : CERN, 2021 - 10 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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2021-12-06
22:36 |
Analytical Method (AM) for DT Trigger Primitive Generation in Phase 2. Slice Test Results with 2021 cosmics data
/CMS Collaboration
A full replacement of the muon trigger system in the CMS (Compact Muon Solenoid) detector is envisaged for operating at the maximum instantaneous luminosities expected in HL-LHC (High Luminosity Large Hadron Collider) of about 5-7.5x10$^{34}$cm$^{-2}$s$^{-1}$. Under this scenario, the new on detector electronics that is being designed for the DT (Drift Tubes) detector will forward all the chamber information at its maximum time resolution. [...]
CMS-DP-2021-027; CERN-CMS-DP-2021-027.-
Geneva : CERN, 2021 - 12 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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2021-12-06
22:36 |
Experiments Data Quality (CMS)
Study of expected objects and physics performance with Phase-2 CMS detector at the HL-LHC for different PU density is presented
CMS-DP-2021-026; CERN-CMS-DP-2021-026.-
Geneva : CERN, 2021 - 13 p.
Fulltext: PDF;
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Detaljnije - Slični zapisi
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