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ATLAS Conference Slides

უკანასკნელი დამატებები:
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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)

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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)

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-03-18
14:56
Machine Learning Techniques in the ATLAS TDAQ Network Monitoring System / Wyszynski, Oskar Justynian (European Laboratory for Particle Physics, CERN) ; Pozo Astigarraga, Mikel Eukeni (European Laboratory for Particle Physics, CERN) /ATLAS Collaboration
Network monitoring is of great importance for every data acquisition system (DAQ), it ensures stable and uninterrupted data flow. However, when using standard tools such as Icinga, often homogeneity of the DAQ hardware is not exploited. [...]
ATL-DAQ-SLIDE-2019-082.- Geneva : CERN, 2019 - 11 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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-03-18
14:56
ATLAS High Level Trigger within the multi-threaded software framework AthenaMT / Bielski, Rafal (European Laboratory for Particle Physics, CERN) ; ATLAS Collaboration /ATLAS Collaboration
Athena is the software framework used in the ATLAS experiment throughout the data processing path, from the software trigger system through offline event reconstruction to physics analysis. The shift from high-power single-core CPUs to multi-core systems in the computing market means that the throughput capabilities of the framework have become limited by the available memory per process. [...]
ATL-DAQ-SLIDE-2019-081.- Geneva : CERN, 2019 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2019-03-18
14:56
Performance evaluation of distributed file systems for the phase-II upgrade of the ATLAS experiment at CERN / Abed Abud, Adam (INFN Pavia and Universita' di Pavia, Dipartimento di Fisica) ; Le Goff, Fabrice (European Laboratory for Particle Physics, CERN) ; Avolio, Giuseppe (European Laboratory for Particle Physics, CERN) /ATLAS Collaboration
Over the next few years, the LHC will prepare for the upcoming High-Luminosity upgrade in which it is expected to deliver ten times more p-p collisions. This will create a harsher radiation environment and higher detector occupancy. [...]
ATL-DAQ-SLIDE-2019-080.- 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

დეტალური ჩანაწერი - მსგავსი ჩანაწერები