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Статті в журналах з теми "ATLAS experiment"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 26 липня 2025

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1

Dunford, Monica, and Peter Jenni. "The ATLAS experiment." Scholarpedia 9, no. 10 (2014): 32147. http://dx.doi.org/10.4249/scholarpedia.32147.

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2

Seidel, Sally. "Highlights from the ATLAS Experiment." EPJ Web of Conferences 70 (2014): 00020. http://dx.doi.org/10.1051/epjconf/20147000020.

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3

Aleksa, Martin. "Status of the ATLAS Experiment." Journal of Physics: Conference Series 452 (July 30, 2013): 012041. http://dx.doi.org/10.1088/1742-6596/452/1/012041.

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4

Grabowska-Bold, Iwona. "Highlights from the ATLAS experiment." Nuclear Physics A 982 (February 2019): 8–14. http://dx.doi.org/10.1016/j.nuclphysa.2018.08.024.

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5

Spousta, Martin. "Highlights from the ATLAS experiment." Nuclear Physics A 1005 (January 2021): 121801. http://dx.doi.org/10.1016/j.nuclphysa.2020.121801.

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6

Derendarz, D. "Highlights from the ATLAS Experiment." Acta Physica Polonica B Proceedings Supplement 16, no. 1 (2023): 1. http://dx.doi.org/10.5506/aphyspolbsupp.16.1-a3.

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7

Schörner-Sadenius, Thomas. "The Trigger of the ATLAS Experiment." Modern Physics Letters A 18, no. 31 (2003): 2149–68. http://dx.doi.org/10.1142/s0217732303011800.

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Анотація:

With the high bunch-crossing and interaction rates and potentially large event sizes, the experiments at the LHC challenge data acquisition and trigger systems. Within the ATLAS experiment, a multi-level trigger system based on hardware and software is employed to cope with the task of event-rate reduction. This review gives an overview of the trigger of the ATLAS experiment highlighting the design principles and the implementation of the system and provides references to more detailed information. In addition, first trigger-performance studies and an outlook on the ATLAS event-selection strat

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8

Muškinja, Miha, John Derek Chapman, and Heather Gray. "Geant4 performance optimization in the ATLAS experiment." EPJ Web of Conferences 245 (2020): 02036. http://dx.doi.org/10.1051/epjconf/202024502036.

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Software improvements in the ATLAS Geant4-based simulation are critical to keep up with evolving hardware and increasing luminosity. Geant4 simulation currently accounts for about 50% of CPU consumption in ATLAS and it is expected to remain the leading CPU load during Run 4 (HL-LHC upgrade) with an approximately 25% share in the most optimistic computing model. The ATLAS experiment recently developed two algorithms for optimizing Geant4 performance: Neutron Russian Roulette (NRR) and range cuts for electromagnetic processes. The NRR randomly terminates a fraction of low energy neutrons in the

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9

Klimek, P. "SUSY Searches with the ATLAS Experiment." Acta Physica Polonica B 47, no. 6 (2016): 1505. http://dx.doi.org/10.5506/aphyspolb.47.1505.

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10

Burian, P., P. Broulím, B. Bergmann, et al. "Timepix3 detector network at ATLAS experiment." Journal of Instrumentation 13, no. 11 (2018): C11024. http://dx.doi.org/10.1088/1748-0221/13/11/c11024.

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11

Panikashvili, N., M. Biglietti, E. De La Cruz Burelo, H. Neal, M. Smizanska, and S. Tarem. "polarization study in the ATLAS experiment." Nuclear Physics B - Proceedings Supplements 167 (May 2007): 225–28. http://dx.doi.org/10.1016/j.nuclphysbps.2006.12.088.

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12

Karagöz Ünel, Müge. "ATLAS Experiment Silicon Inner Detector Alignment." Nuclear Physics B - Proceedings Supplements 172 (October 2007): 194–97. http://dx.doi.org/10.1016/j.nuclphysbps.2007.08.057.

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13

Taševský, M. "Diffractive physics program in ATLAS experiment." Nuclear Physics B - Proceedings Supplements 179-180 (August 2008): 187–95. http://dx.doi.org/10.1016/j.nuclphysbps.2008.07.039.

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14

Fischer, P. "Pixel electronics for the ATLAS experiment." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 465, no. 1 (2001): 153–58. http://dx.doi.org/10.1016/s0168-9002(01)00380-1.

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15

Giangiobbe, V. "Jet calibration in the ATLAS experiment." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 617, no. 1-3 (2010): 90–91. http://dx.doi.org/10.1016/j.nima.2009.09.117.

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16

Lee, Lawrence. "SUSY Searches in the ATLAS Experiment." Journal of Physics: Conference Series 623 (June 11, 2015): 012018. http://dx.doi.org/10.1088/1742-6596/623/1/012018.

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17

Elmsheuser, Johannes, Fernando Barreiro Megino, Alessandro De Salvo, et al. "The ATLAS experiment software on ARM." EPJ Web of Conferences 295 (2024): 05019. http://dx.doi.org/10.1051/epjconf/202429505019.

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Анотація:

With an increased dataset obtained during the Run 3 of the LHC at CERN and the even larger expected increase of the dataset by more than one order of magnitude for the HL-LHC, the ATLAS experiment is reaching the limits of the current data processing model in terms of traditional CPU resources based on x86_64 architectures and an extensive program for software upgrades towards the HL-LHC has been set up. The ARM architecture is becoming a competitive and energy efficient alternative. Some surveys indicate its increased presence in HPCs and commercial clouds, and some WLCG sites have expressed

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18

Aketa, Shuta, Daisuke Wajima, Masayoshi Kiyomoto, Natsuhiko Izumi, and Taiji Yonezawa. "Optimum concentration of iodine contrast agent injection for best stent visualization using Neuroform Atlas stent during stent-assisted coil embolization: Case reviews based on in vitro experiments." Surgical Neurology International 11 (June 27, 2020): 170. http://dx.doi.org/10.25259/sni_239_2020.

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Анотація:

Background: The present study aimed to evaluate the influence of contrast agent concentration (Conc) on the visibility of Neuroform Atlas in vitro and in clinical cases. Methods: A plastic tube was filled with several Conc. in saline (experiment 1) and blood (experiment 2). Thereafter, the Neuroform Atlas was placed around the plastic tube in an acrylic shield case. In experiment 3, the Neuroform Atlas was placed in the internal carotid artery of the endo vascular evaluator endovascular training system with an injection of several Conc in saline. Five slices of the axial images obtained using

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19

Korchuganova, Tatiana, Aleksandr Alekseev, Alexei Klimentov, Torre Wenaus, and Zhaoyu Yang. "BigPanDA monitoring system evolution in the ATLAS Experiment." EPJ Web of Conferences 295 (2024): 04010. http://dx.doi.org/10.1051/epjconf/202429504010.

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Monitoring services play a crucial role in the day-to-day operation of distributed computing systems. The ATLAS Experiment at LHC uses the Production and Distributed Analysis workload management system (PanDA WMS), which allows a million computational jobs to run daily at over 170 computing centers of the WLCG and opportunistic resources, utilizing 600k cores simultaneously on average. The BigPanDA monitor is an essential part of the monitoring infrastructure for the ATLAS Experiment that provides a wide range of views, from top-level summaries to a single computational job and its logs. Over

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20

Balek, Petr. "ATLAS highlights: Recent results from ATLAS." EPJ Web of Conferences 316 (2025): 01005. https://doi.org/10.1051/epjconf/202531601005.

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Анотація:

The ATLAS experiment at the Large Hadron Collider encompasses a wide-ranging physics programme that includes various collision systems and centre-of-mass energies. These proceedings provide an overview of the recent ATLAS measurements regarding heavy ion collisions, heavy flavour production, and collective behaviour. The data utilized in the presented results were recorded during LHC Run 2 (2015–2018). The measurements can help to understand various physics phenomena from hard scatterings to soft processes, and from large systems to small systems.

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21

Adam, Martin, Dagmar Adamová, Jiří Chudoba, et al. "Distributed resources of Czech WLCG Tier-2 center." EPJ Web of Conferences 245 (2020): 03034. http://dx.doi.org/10.1051/epjconf/202024503034.

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The Computing Center of the Institute of Physics (CC IoP) of the Czech Academy of Sciences provides compute and storage capacity to several physics experiments. Most resources are used by two LHC experiments, ALICE and ATLAS. In the WLCG, which coordinates computing activities for the LHC experiments, the computing center is Tier-2. The rest of computing resources is used by astroparticle experiments like the Pierre Auger Observatory (PAO) and the Cherenkov Telescope Array (CTA) or particle experiments like NOvA and DUNE. Storage capacity is distributed to several locations. DPM servers used b

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22

Ohashi, Ken, Oscar Adriani, Eugenio Berti, et al. "Status of the LHCf experiment." EPJ Web of Conferences 283 (2023): 05002. http://dx.doi.org/10.1051/epjconf/202328305002.

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A precise understanding of hadronic interactions is essential to interpreting the mass composition of ultra-high energy cosmic rays from the results of air shower experiments. The Large Hadron Collier forward (LHCf) experiment aims to measure forward neutral particles for validation of hadronic interaction models adopted in air shower simulations. We already published the production cross sections of forward photons and neutrons for proton-proton collisions at √s=13 TeV. Recently, we showed a preliminary result of the energy spectrum of forward η mesons for proton-proton collisions at √s=13 Te

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23

Schioppa, M. "BSM Higgs Searches with the ATLAS Experiment." Acta Physica Polonica B 47, no. 6 (2016): 1565. http://dx.doi.org/10.5506/aphyspolb.47.1565.

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24

Boutle, S., D. Casper, B. Hooberman, et al. "Primary vertex reconstruction at the ATLAS experiment." Journal of Physics: Conference Series 898 (October 2017): 042056. http://dx.doi.org/10.1088/1742-6596/898/4/042056.

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25

Tsuno, Soshi, and on behalf of the ATLAS Collaboration. "The Latest Results from the ATLAS Experiment." Progress of Theoretical Physics Supplement 187 (2011): 257–64. http://dx.doi.org/10.1143/ptps.187.257.

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26

Ackers, M., F. Andre, L. Blanquart, et al. "Pixel readout chip for the ATLAS experiment." IEEE Transactions on Nuclear Science 46, no. 6 (1999): 2033–38. http://dx.doi.org/10.1109/23.819277.

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27

Samset, B. H. "The latest results from the ATLAS experiment." Journal of Physics: Conference Series 259 (November 1, 2010): 012021. http://dx.doi.org/10.1088/1742-6596/259/1/012021.

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28

Barnett, R. M., K. E. Johansson, C. Kourkoumelis, et al. "Learning with the ATLAS experiment at CERN." Physics Education 47, no. 1 (2011): 28–37. http://dx.doi.org/10.1088/0031-9120/47/1/28.

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29

Andrew Stewart, Graeme, Jamie Boyd, João Firmino da Costa, Joseph Tuggle, and Guillaume Unal. "Prompt data reconstruction at the ATLAS experiment." Journal of Physics: Conference Series 396, no. 2 (2012): 022049. http://dx.doi.org/10.1088/1742-6596/396/2/022049.

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30

Foster, Andrew. "Low energy observables with the ATLAS experiment." Nuclear and Particle Physics Proceedings 294-296 (January 2018): 37–41. http://dx.doi.org/10.1016/j.nuclphysbps.2018.02.004.

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31

Barreiro, Fernando. "Probing perturbative QCD at the ATLAS experiment." Nuclear and Particle Physics Proceedings 300-302 (July 2018): 7–11. http://dx.doi.org/10.1016/j.nuclphysbps.2018.12.003.

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32

Perez-Reale, V. "Physics with Photons at the ATLAS experiment." Nuclear Physics B - Proceedings Supplements 184 (November 2008): 182–85. http://dx.doi.org/10.1016/j.nuclphysbps.2008.09.162.

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33

Iengo, Paolo. "Status and Performace of the ATLAS Experiment." Nuclear Physics B - Proceedings Supplements 207-208 (October 2010): 91–94. http://dx.doi.org/10.1016/j.nuclphysbps.2010.10.023.

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34

Tackmann, Kerstin. "H→γγ measurements at the ATLAS experiment". Nuclear and Particle Physics Proceedings 273-275 (квітень 2016): 117–24. http://dx.doi.org/10.1016/j.nuclphysbps.2015.09.014.

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35

Palestini, Sandro. "The muon spectrometer of the ATLAS experiment." Nuclear Physics B - Proceedings Supplements 125 (September 2003): 337–45. http://dx.doi.org/10.1016/s0920-5632(03)91013-9.

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36

Borodin, M., K. De, J. Garcia Navarro, et al. "Multilevel Workflow System in the ATLAS Experiment." Journal of Physics: Conference Series 608 (May 22, 2015): 012015. http://dx.doi.org/10.1088/1742-6596/608/1/012015.

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37

Greene, John P., George E. Thomas, and Robert H. Leonard. "Targets for the APEX experiment at ATLAS." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 362, no. 1 (1995): 81–89. http://dx.doi.org/10.1016/0168-9002(95)00235-9.

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38

Benjamin, Douglas, Taylor Childers, David Lesny, et al. "Building and using containers at HPC centres for the ATLAS experiment." EPJ Web of Conferences 214 (2019): 07005. http://dx.doi.org/10.1051/epjconf/201921407005.

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Анотація:

The HPC environment presents several challenges to the ATLAS experiment in running their automated computational workflows smoothly and efficiently, in particular regarding issues such as software distribution and I/O load. A vital component of the LHC Computing Grid, CVMFS, is not always available in HPC environments. ATLAS computing has experimented with all-inclusive containers, and later developed an environment to produce such containers for both Shifter and Singularity. The all-inclusive containers include most of the recent ATLAS software releases, database releases, and other tools ext

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39

Abreu, H., E. Amin Mansour, C. Antel, et al. "The trigger and data acquisition system of the FASER experiment." Journal of Instrumentation 16, no. 12 (2021): P12028. http://dx.doi.org/10.1088/1748-0221/16/12/p12028.

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Abstract The FASER experiment is a new small and inexpensive experiment that is placed 480 meters downstream of the ATLAS experiment at the CERN LHC. FASER is designed to capture decays of new long-lived particles, produced outside of the ATLAS detector acceptance. These rare particles can decay in the FASER detector together with about 500–1000 Hz of other particles originating from the ATLAS interaction point. A very high efficiency trigger and data acquisition system is required to ensure that the physics events of interest will be recorded. This paper describes the trigger and data acquisi

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40

Nilsson, Paul, Alexey Anisenkov, Doug Benjamin, et al. "The next generation PanDA Pilot for and beyond the ATLAS experiment." EPJ Web of Conferences 214 (2019): 03054. http://dx.doi.org/10.1051/epjconf/201921403054.

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Анотація:

The Production and Distributed Analysis system (PanDA) is a pilot-based workload management system that was originally designed for the ATLAS Experiment at the LHC and to use with grid sites. Since the coming LHC data taking runs will require more resources than grid computing alone can provide, the various LHC experiments are engaged in an ambitious program to extend the computing model to include opportunistically used resources such as High Performance Computers (HPCs), clouds and volunteer computers. To this end, PanDA is being extended beyond grids and ATLAS to be used on the new types of

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41

Jenni, Peter. "The long journey to the Higgs boson and beyond at the LHC: Emphasis on ATLAS." International Journal of Modern Physics A 31, no. 25 (2016): 1630041. http://dx.doi.org/10.1142/s0217751x16300416.

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Анотація:

The journey in search for the Higgs boson with the ATLAS and CMS experiments at the Large Hadron Collider (LHC) at CERN started more than two decades ago. But the first discussions motivating the LHC project dream date back even further into the 1980s. This article will recall some of these early historical considerations, mention some of the LHC machine milestones and achievements, focus as an example of a technological challenge on the unique ATLAS superconducting magnet system, and then give an account of the physics results so far, leading to, and featuring particularly, the Higgs boson re

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42

Chen, K., S. Tang, H. Chen, and F. Schreuder. "Development of a High Throughput PCIe Card for DAQ System in the ATLAS and DUNE Experiments." Journal of Instrumentation 16, no. 11 (2021): P11004. http://dx.doi.org/10.1088/1748-0221/16/11/p11004.

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Abstract In the Run 3 upgrade of ATLAS experiment, the FELIX (Front-End LInk eXchange) system has been prepared as the interface between front-end electronics and common Data Acquisition (DAQ) systems. Based on a PCIe card hosted in commodity server, FELIX's flexibilty makes it has also been adopted by other experiments, such as the Single-Phase ProtoDUNE (Prototype for the Deep Underground Neutrino Experiment), sPHENIX and CBM experiments. The same PCIe based architecture is proposed for use in the ATLAS HL-LHC (High Luminosity Large Hadron Collider) upgrade and the DUNE experiment. To this e

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43

Aitbenchikh, Brahim. "The Fast Simulation Chain in The ATLAS Experiment." Journal of Physics: Conference Series 2438, no. 1 (2023): 012083. http://dx.doi.org/10.1088/1742-6596/2438/1/012083.

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Анотація:

Abstract The physics program in the ATLAS experiment at the Large Hadron Collider has achieved high-quality and competitive physics results since its inception, based on large and accurate datasets of simulated Monte Carlo events. Generating these billions of Monte Carlo using the Geant4 framework requires significant computing resources. As such the ATLAS CPU is limited and taking into account the expected increase of the average number of proton-proton collisions during the high luminosity LHC phase, a very fast detector simulation is critical when high accuracy is not needed. In order to so

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44

Le Boulicaut Ennis, Elise. "Sharing ATLAS Science: Communicating to the Public." EPJ Web of Conferences 295 (2024): 08016. http://dx.doi.org/10.1051/epjconf/202429508016.

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Анотація:

Communicating the science and achievements of the ATLAS Experiment is a core objective of the ATLAS Collaboration. This contribution will explore the range of communication strategies adopted by ATLAS. In particular, an overview of ATLAS’ digital communication platforms will be given, including the ATLAS website, social media, Virtual Visits, and Open Data.

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45

Acosta-Silva, Carles, José Del Peso, Esteban Fullana Torregrosa, et al. "Exploitation of the MareNostrum 4 HPC using ARC-CE." EPJ Web of Conferences 251 (2021): 02021. http://dx.doi.org/10.1051/epjconf/202125102021.

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Анотація:

The resources of the HPC centers are a potential aid to meet the future challenges of HL-LHC [1] in terms of computational requirements. Spanish HPC centers have recently been used to implement all necessary edge services to integrate resources into the LHC experiment workflow management system. In this article, we describe the integration of ATLAS with the extension plan to other LHC experiments. We chose to configure a dedicated ARC-CE [2] and interact with the HPC login and transfer nodes using ssh commands. The repository that includes a partial copy of the ATLAS experiment software on CVM

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46

Santos, H. "Overview of Heavy Ions from the ATLAS Experiment." Acta Physica Polonica B 50, no. 6 (2019): 1217. http://dx.doi.org/10.5506/aphyspolb.50.1217.

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47

Javurkova, Martina. "The Fast Simulation Chain in the ATLAS experiment." EPJ Web of Conferences 251 (2021): 03012. http://dx.doi.org/10.1051/epjconf/202125103012.

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Анотація:

The ATLAS experiment relies heavily on simulated data, requiring the production of billions of simulated proton-proton collisions every run period. As such, the simulation of collisions (events) is the single biggest CPU resource consumer. ATLAS’s finite computing resources are at odds with the expected conditions during the High Luminosity LHC era, where the increase in proton-proton centre-of-mass energy and instantaneous luminosity will result in higher particle multiplicities and roughly five-fold additional interactions per bunch-crossing with respect to LHC Run-2. Therefore, significant

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48

Federico Brazzale, Simone. "Overview of SUSY results from the ATLAS experiment." EPJ Web of Conferences 71 (2014): 00020. http://dx.doi.org/10.1051/epjconf/20147100020.

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49

Orlando, Nicola. "Muon reconstruction efficiency measurement in the ATLAS experiment." EPJ Web of Conferences 28 (2012): 12040. http://dx.doi.org/10.1051/epjconf/20122812040.

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50

Marshall, Zachary. "Simulation of Pile-up in the ATLAS Experiment." Journal of Physics: Conference Series 513, no. 2 (2014): 022024. http://dx.doi.org/10.1088/1742-6596/513/2/022024.

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