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The ATLAS Conference Slides collection contains transparencies on ATLAS that have been presented at conferences. More information about conferences can be found on the external ATLAS Talks at International Physics Conferences webpage.
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ATLAS Conference Slides

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2019-03-19
16:31
Towards the Increase in Granularity for the Main Hadronic ATLAS Calorimeter: Exploiting Deep Learning Methods / Do Nascimento Gaspar, Philipp (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) ; Seixas, Jose (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) /ATLAS Collaboration
An extensive upgrade programme has been developed for LHC and its experiments, which is crucial to allow the complete exploitation of the extremely high-luminosity collision data. The programme is staggered in two phases, so that the main interventions are foreseen in Phase II. [...]
ATL-TILECAL-SLIDE-2019-092.- Geneva : CERN, 2019 - 17 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-19
16:05
Fast Deep Learning on FPGAs for the Phase-II L0 Muon Barrel Trigger of the ATLAS Experiment / Francescato, Simone (INFN Roma and Sapienza Universita' di Roma, Dipartimento di Fisica) /ATLAS Collaboration
The Level-0 Muon Trigger system of the ATLAS experiment will undergo a full upgrade for HL-LHC to stand the challenging performances requested with the increasing instantaneous luminosity. The upgraded trigger system foresees to send RPC raw hit data to the off-detector trigger processors, where the trigger algorithms run on new generation of Field-Programmable Gate Arrays (FPGAs). [...]
ATL-DAQ-SLIDE-2019-091.- Geneva : CERN, 2019 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-19
11:14
Slides for the talk in ACAT 2019: Energy Reconstruction of the ATLAS Tile Calorimeter under high pile-up conditions using the Wiener filter / Oliveira Goncalves, Dayane (Universidade Federal de Juiz de Fora (UFJF)) /ATLAS Collaboration
This work presents the proposed algorithm for energy estimation in the Tile Calorimeter under high pile-up conditions during LHC Run 3, named Wiener Filter. The performance of the proposed method is studied under pile-up conditions and compared with current optimal filtering method using proton-proton collision data..
ATL-TILECAL-SLIDE-2019-090.- Geneva : CERN, 2019 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-18
15:29
An Ensemble of Neural Networks for Online Electron Filtering at the ATLAS Experiment / Spolidoro Freund, Werner (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) ; Da Fonseca Pinto, Joao Victor (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) ; Verissimo De Araujo, Micael (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) ; Seixas, Jose (Universidade Federal do Rio De Janeiro, COPPE/EE/IF) /ATLAS Collaboration
The ATLAS experiment implemented an ensemble of neural networks (NeuralRinger algorithm) dedicated to improve the performance of filtering events containing electrons in the high-input rate online environment of the Large Hadron Collider at CERN, Geneva. This algorithm has been used online to select electrons with transverse energies above 15 GeV since 2017 and is extended to electrons with transverse energies below 15GeV in 2018. [...]
ATL-DAQ-SLIDE-2019-089.- Geneva : CERN, 2019 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-18
15:18
The Central Hint and Information Processor system for automation, error detection and recovery in the ATLAS TDAQ Controls framework / Avolio, Giuseppe (European Laboratory for Particle Physics, CERN) /ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider at CERN relies on a complex and highly distributed Trigger and Data Acquisition (TDAQ) system to gather and select particle collision data obtained at unprecedented energy and rates. The TDAQ Controls system is the component that guarantees the smooth and synchronous operations of all the TDAQ components and provides the means to minimize the downtime of the system caused by run-time failures. [...]
ATL-DAQ-SLIDE-2019-088.- Geneva : CERN, 2019 - 15 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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2019-03-18
15:00
Multi-threaded checksum computation for ATLAS high-performance storage software / Le Goff, Fabrice (European Laboratory for Particle Physics, CERN) ; Avolio, Giuseppe (European Laboratory for Particle Physics, CERN) /ATLAS Collaboration
ATLAS is one of the generic-purpose experiments observing hadron collisions at the LHC at CERN. Its trigger and data acquisition system (TDAQ) is responsible for selecting and transporting interesting physics events from the detector to permanent storage where the data are used for physics analysis. [...]
ATL-DAQ-SLIDE-2019-087.- Geneva : CERN, 2019 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-18
14:57
The FELIX detector interface for the ATLAS Trigger and Data Acquisition upgrades and its deployment in the ATLAS Inner Tracker demonstrator setup / Solans, Carlos (European Laboratory for Particle Physics, CERN) ; ATLAS Collaboration /ATLAS Collaboration
The ATLAS experiment at the LHC at CERN will move to use the Front-End Link eXchange (FELIX) system in a staged approach for LHC Run 3 (2021) and LHC Run 4 (2026). FELIX will act as the interface between the data acquisition; detector control and TTC (Timing, Trigger and Control) systems; and new or updated trigger and detector front-end electronics. [...]
ATL-DAQ-SLIDE-2019-086.- Geneva : CERN, 2019 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-18
14:57
Control and Configuration Software for the ATLAS DAQ system in LHC Run 2 / ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider (LHC) operated successfully from 2008 to 2018, which included Run 1 (2008-2013), a shutdown period and the Run 2 (2016-2018). In the course of the Run 2, the ATLAS data taking achieved an overall data taking efficiency of 97%, largely constraint by the irreducible dead-time introduced to accommodate the limitations of the detector read-out electronics. [...]
ATL-DAQ-SLIDE-2019-085.- Geneva : CERN, 2019 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-18
14:57
Evaluating InfluxDB and ClickHouse database technologies for improvements of the ATLAS operational monitoring data archiving / Vasile, Matei Eugen (Horia Hulubei National Institute of Physics and Nuclear Engineering) ; Avolio, Giuseppe (European Laboratory for Particle Physics, CERN) ; Soloviev, Igor (University of California, Irvine) /ATLAS Collaboration
The Trigger and Data Acquisition (TDAQ) system of the ATLAS experiment the Large Hadron Collider (LHC) at CERN currently is composed of a large number of distributed hardware and software components (about 3000 machines and more than 25000 applications) which, in a coordinated manner, provide the data-taking functionality of the overall system. During data taking runs, a huge flow of operational data is produced in order to constantly monitor the system and allow proper detection of anomalies or misbehaviors. [...]
ATL-DAQ-SLIDE-2019-084.- Geneva : CERN, 2019 - 1 p. Fulltext: 2.PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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2019-03-18
14:56
The design and performance of the ATLAS Inner Detector trigger in high pile-up collisions at 13 TeV at the Large Hadron Collider / Abraham, Nicola (University of Sussex) /ATLAS Collaboration
The design and performance of the ATLAS Inner Detector (ID) trigger algorithms running online on the high level trigger (HLT) processor farm for 13 TeV LHC collision data with high pile-up are discussed. The HLT ID tracking is a vital component in all physics signatures in the ATLAS trigger for the precise selection of the rare or interesting events necessary for physics analysis without overwhelming the offline data storage in terms of both size and rate. [...]
ATL-DAQ-SLIDE-2019-083.- Geneva : CERN, 2019 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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