CERN Accelerating science

CERN Document Server 258 registres trobats  1 - 10següentfinal  anar al registre: La cerca s'ha fet en 1.58 segons. 
1.
QDIPS: Deep Sets Network for FPGA investigated for high speed inference on ATLAS / Antel, Claire (Universite de Geneve (CH)) /ATLAS Collaboration
Deep sets network architectures have useful applications in finding correlations in unordered and variable length data input, thus having the interesting feature of being permutation invariant. Its use on FPGA would open up accelerated machine learning in areas where the input has no fixed length or order, such as inner detector hits for clustering or associated particle tracks for jet tagging. [...]
ATL-DAQ-SLIDE-2024-616.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
2.
Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment / Dittmeier, Sebastian (Heidelberg University (DE)) ; ATLAS Collaboration /ATLAS Collaboration
For the HL-LHC upgrade of the ATLAS TDAQ system, a heterogeneous computing farm deploying GPUs and/or FPGAs is under study, together with the use of modern machine learning algorithms such as Graph Neural Networks (GNNs). We present a study on the reconstruction of tracks in the ATLAS Inner Tracker using GNNs on FPGAs for the Event Filter system. [...]
ATL-DAQ-SLIDE-2024-614.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
3.
The ATLAS inner detector trigger performance in Run 3 / Mlinarevic, Marin (University of London (GB)) ; ATLAS TDAQ Collaboration
The performance of the inner detector (ID) tracking trigger of the ATLAS experiment at the Large Hadron Collider (LHC) is presented, evaluated using early Run 3 data. [...]
ATL-DAQ-PROC-2024-019.
- 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
4.
Status of the ATLAS MDT Trigger Processor for the HL-LHC Upgrade / Lux, Adam Brayton (Boston University (US)) ; ATLAS TDAQ Collaboration
The High Luminosity LHC (HL-LHC) will require upgrades to the ATLAS Level-0 (L0) muon trigger to cope with the increased collision rates. [...]
ATL-DAQ-PROC-2024-018.
- 2024 - 4.
Original Communication (restricted to ATLAS) - Full text
5.
ATLAS jet trigger system - overview and performance at the beginning of Run 3 / Theiner, Ondrej (Universite de Geneve (CH))
As a hadron collider, the LHC produces a large number of hadronic jets. [...]
ATL-DAQ-PROC-2024-014.
- 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
6.
Phase-1 ATLAS Level-1 Trigger in Run-3 / Penc, Ondrej (CERN) ; ATLAS Collaboration
The ATLAS Level-1 Trigger, crucial for the selection of LHC events at CERN, has been upgraded for Run-3 with the state-of-the-art processors and electronic devices, extensively using optical links to enhance performance. [...]
ATL-DAQ-PROC-2024-013.
- 2024. - 6 p.
Original Communication (restricted to ATLAS) - Full text
7.
ATLAS TDAQ upgrades for Phase-2 / Pastore, Francesca (University of London (GB))
The ATLAS experiment at CERN will be upgraded for the "High Luminosity LHC", with collisions due to start in 2029. [...]
ATL-DAQ-PROC-2024-008.
- 2024. - 6 p.
Original Communication (restricted to ATLAS) - Full text
8.
The New Small Wheel Trigger for the ATLAS experiment / Zormpa, Olga (Nat. Cent. for Sci. Res. Demokritos (GR))
The ATLAS New Small Wheel (NSW) Muon spectrometer upgrade, completed in 2022, was the largest Phase I detector upgrade among LHC experiments. [...]
ATL-MUON-PROC-2024-004.
- 2024 - 2.
Original Communication (restricted to ATLAS) - Full text
9.
Track Reconstruction for the ATLAS Detector’s Phase II Trigger and Data Acquisition System using Graph Neural Networks / Ahuja, Sudha (University of London (GB)) /ATLAS Collaboration
Track Reconstruction for the ATLAS Detector’s Phase II Trigger and Data Acquisition System using Graph Neural Networks
ATL-DAQ-SLIDE-2024-184.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
10.
The ATLAS Trigger/DAQ Authorlist : version 15
TDAQ author list version 15
ATL-DAQ-PUB-2024-001.
- 2024. - 5 p.
Original Communication (restricted to ATLAS) - Full text

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