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ABOUT ATLAS SLIDES
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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2019-03-14
16:16
First Production Modules of the ATLAS Micromegas and Performance Studies / Koulouris, Aimilianos (National Technical University of Athens) /ATLAS Collaboration
The ATLAS collaboration at LHC has endorsed the resistive Micromegas technology, along with the small-strip Thin Gap Chambers (sTGC), for the high luminosity upgrade of the first muon station in the high-rapidity region, the so called New Small Wheel (NSW) project. After the R&D;, design and prototyping phase, the first series production Micromegas quadruplets have been constructed at all involved construction sites: in France, Germany, Italy, Russia and Greece. [...]
ATL-MUON-SLIDE-2019-077.- Geneva : CERN, 2019 - 65 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 15th Vienna Conference on Instrumentation, Vienna, Austria, 18 - 22 Feb 2019

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2019-03-14
15:27
Upgrade of the ATLAS Muon Spectrometer Thin Gap Chambers and their electronics for the HL-LHC phase / Chau, Chav Chhiv (Carleton University) /ATLAS Collaboration
The instantaneous luminosity of the LHC will be increased by almost an order of magnitude with respect to the design value by undergoing an extensive upgrade program for the High-Luminosity LHC (HL-LHC). Many upgrades are foreseen for the thin gap chambers (TGC) of the ATLAS Muon System. [...]
ATL-MUON-SLIDE-2019-076.- Geneva : CERN, 2019 - 28 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 15th Vienna Conference on Instrumentation, Vienna, Austria, 18 - 22 Feb 2019

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2019-03-12
19:40
The ATLAS EventIndex and its evolution towards Run 3 / ATLAS Collaboration
The ATLAS experiment produced so far hundreds of petabytes of data and expects to have one order of magnitude more in the future. This data are spread among hundreds of computing Grid sites around the world. [...]
ATL-SOFT-SLIDE-2019-075.- Geneva : CERN, 2019 - 24 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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2019-03-09
08:55
Simulating Diverse HEP Workflows on Heterogeneous Architectures / Leggett, Charles (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Shapoval, Illya (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Clemencic, Marco (CERN) ; Jones, Christopher (Fermi National Accelerator Lab. (US)) /ATLAS Collaboration
The next generation of HPC and HTC facilities, such as Oak Ridge’s Summit, Lawrence Livermore’s Sierra, and NERSC's Perlmutter, show an increasing use of GPGPUs and other accelerators in order to achieve their high FLOP counts. This trend will only grow with exascale facilities such as A21. [...]
ATL-SOFT-SLIDE-2019-074.- Geneva : CERN, 2019 - 32 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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2019-03-08
17:48
Continuous Analysis
 -- User Containers on the Grid / Heinrich, Lukas (European Laboratory for Particle Physics, CERN) ; Forti, Alessandra (School of Physics and Astronomy, University of Manchester) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) /ATLAS Collaboration
The ATLAS software infrastructure has undergone several changes towards the adoption of Continuous Integration methodology to develop and test software. The users community can benefit from a CI environment in several ways: they can develop their custom analysis, build and test it using revision control services such as GitLab. [...]
ATL-SOFT-SLIDE-2019-073.- Geneva : CERN, 2019 - 20 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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2019-03-08
12:30
Constructing mass-decorrelated hadronic decay taggers in ATLAS / Sogaard, Andreas (University of Edinburgh) /ATLAS Collaboration
A large number of physics processes as seen by ATLAS at the LHC manifest as collimated, hadronic sprays of particles known as ‘jets’. Jets originating from the hadronic decay of a massive particle are commonly used in searches for both measurements of the Standard Model and searches for new physics. [...]
ATL-SOFT-SLIDE-2019-072.- 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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2019-03-07
09:42
ATLAS: High Granularity Timing Detector, Focus on sensor performance / Guindon, Stefan (European Laboratory for Particle Physics, CERN) /ATLAS Collaboration
The expected increase of the particle flux at the high luminosity phase of the LHC (HL-LHC) with instantaneous luminosities up to L ? 7.5 × 1034 cm-2 s-1 will have a severe impact on the ATLAS detector performance. The pile-up is expected to increase on average to 200 interactions per bunch crossing. [...]
ATL-LARG-SLIDE-2019-071.- Geneva : CERN, 2019 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 14th "Trento" Workshop on Advanced Silicon Radiation Detectors, Trento, Italy, 25 - 28 Feb 2019

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2019-03-07
07:45
Deep generative models for fast shower simulation in ATLAS / Ghosh, Aishik (LAL, Univ. Paris-Sud, IN2P3/CNRS, Universite Paris-Saclay) /ATLAS Collaboration
The need for large scale and high fidelity simulated samples for the extensive physics program of the ATLAS experiment at the Large Hadron Collider motivates the development of new simulation techniques. Building on the recent success of deep learning algorithms, Variational Auto-Encoders and Generative Adversarial Networks are investigated for modeling the response of the ATLAS electromagnetic calorimeter for photons in a central calorimeter region over a range of energies. [...]
ATL-SOFT-SLIDE-2019-070.- 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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2019-03-06
18:31
The second generation of the ATLAS Production System: expertise and future evolution / Borodin, Mikhail (University of Iowa) ; Klimentov, Alexei (Brookhaven National Laboratory (BNL)) ; Golubkov, Dmitry (Institute for High Energy Physics of the National Research Centre Kurchatov Institute, Protvino) ; Titov, Mikhail (NRC Kurchatov Institute Tier site) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) /ATLAS Collaboration
ATLAS production system called ProdSys2 is used during Run2 to define and to organize workflows and to schedule, submit and execute payloads in a distributed computing infrastructure. We design ProdSys2 to manage all ATLAS workflows: data (re)processing, MC simulation, physics groups analysis objects production, High Level Trigger processing, SW release building and user analysis. [...]
ATL-SOFT-SLIDE-2019-069.- Geneva : CERN, 2019 - 13 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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2019-03-06
09:52
Hardware Accelerated ATLAS Workloads on the WLCG / Forti, Alessandra (School of Physics and Astronomy, University of Manchester) ; Heinrich, Lukas (European Laboratory for Particle Physics, CERN) ; Guth, Manuel (Albert-Ludwigs-Universitaet Freiburg) /ATLAS Collaboration
In recent years the usage of machine learning techniques within data-intensive sciences in general and high-energy physics in particular has rapidly increased, in part due to the availability of large datasets on which such algorithms can be trained as well as suitable hardware, such as graphics or tensor processing units which greatly accelerate the training and execution of such algorithms. Within the HEP domain, the development of these techniques has so far relied on resources external to the primary computing infrastructure of the WLCG. [...]
ATL-SOFT-SLIDE-2019-068.- 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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