CERN Accelerating science

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1.
A real-time FPGA-based cluster finding algorithm for LHCb silicon pixel detector / Bassi, Giovanni (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Giambastiani, Luca (Padua U.) ; Lazzari, Federico (INFN, Pisa ; INFN, Siena ; Siena U.) ; Morello, Michael J (INFN, Pisa ; Pisa, Scuola Normale Superiore) ; Pajero, Tommaso (Oxford U.) ; Punzi, Giovanni (INFN, Pisa ; Pisa U.)
Starting from the next LHC run, the upgraded LHCb High Level Trigger will process events at the full LHC collision rate (averaging 30 MHz). This challenging goal, tackled using a large and heterogeneous computing farm, can be eased addressing lowest-level, more repetitive tasks at the earliest stages of the data acquisition chain. [...]
2021 - 8 p. - Published in : EPJ Web Conf. 251 (2021) 04016 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.04016
2.
Exploring the self-service model to visualize the results of the ATLAS Machine Learning analysis jobs in BigPanDA with Openshift OKD3 / Stan, Ioan-Mihail (U. Polytechnic Bucharest (main)) ; Padolski, Siarhei (Brookhaven Natl. Lab.) ; Lee, Christopher Jon (SUNY, Stony Brook) /ATLAS Software and Computing Collaboration
A large scientific computing infrastructure must offer versatility to host any kind of experiment that can lead to innovative ideas. The ATLAS experiment offers wide access possibilities to perform intelligent algorithms and analyze the massive amount of data produced in the Large Hadron Collider at CERN. [...]
2021 - 11 p. - Published in : EPJ Web Conf. 251 (2021) 02009 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02009
3.
A novel reconstruction framework for an imaging calorimeter for HL-LHC / Cristella, Leonardo (CERN) /CMS Collaboration
To sustain the harsher conditions of the high-luminosity LHC, the CMS collaboration is designing a novel endcap calorimeter system. The new calorimeter will predominantly use silicon sensors to achieve sufficient radiation tolerance and will maintain highly-granular information in the readout to help mitigate the effects of pileup. [...]
2021 - 9 p. - Published in : EPJ Web Conf. 251 (2021) 03013 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.03013
4.
The Cherenkov Telescope Array production system proto-type for large-scale data processing and simulations / Arrabito, Luisa (U. Montpellier 2, LUPM) ; Bregeon, Johan (LPSC, Grenoble) ; Maeght, Patrick (U. Montpellier 2, LUPM) ; Sanguillon, Michèle (U. Montpellier 2, LUPM) ; Tsaregorodtsev, Andrei (Marseille, CPPM) /DIRAC Collaboration ; CTA Consortium Collaboration
The Cherenkov Telescope Array (CTA) is the next-generation instrument in the very-high energy gamma ray astronomy domain. It will consist of tens of Cherenkov telescopes deployed in 2 arrays at La Palma (Spain) and Paranal (ESO, Chile) respectively. [...]
2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 02029
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02029
5.
Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system / Abed Abud, Adam  (CERN ; Liverpool U.) ; Biery, Kurt (Fermilab) ; Chavez, Carlos (Liverpool U.) ; Ding, Pengfei (Fermilab) ; Flumerfelt, Eric (Fermilab) ; Freeman, John (Fermilab) ; Lehmann Miotto, Giovanna (CERN) ; Roda, Marco (Liverpool U.) ; Rodrigues, Philip (Oxford U.) ; Sipos, Roland (CERN) et al.
The DUNE detector is a neutrino physics experiment that is expected to take data starting from 2028. The data acquisition (DAQ) system of the experiment is designed to sustain several TB/s of incoming data which will be temporarily buffered while being processed by a software based data selection system. [...]
FERMILAB-CONF-21-761-SCD.- 2021 - 8 p. - Published in : EPJ Web Conf. 251 (2021) 04013 Fulltext: document - PDF; fermilab-conf-21-761-scd - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.04013
6.
Proximeter CERN’s detecting device for personnel / Merscher, Christoph (CERN) ; Sierra, Rodrigo (CERN) ; Zimmaro, Alessandro (CERN) ; Giordano, Marco (CERN) ; Danzeca, Salvatore (CERN)
he SARS COV 2 virus, the cause of the better known COVID-19 disease, has greatly altered our personal and professional lives. Many people are now expected to work from home but this is not always possible and, in such cases, it is the responsibility of the employer to implement protective measures. [...]
2021 - 8 p. - Published in : EPJ Web Conf. 251 (2021) 04025 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.04025
7.
ARCHIVER - Data archiving and preservation for research environments / Devouassoux, Marion (CERN) ; Fernandes, João (CERN) ; Jones, Bob (CERN) ; Lozada, Ignacio Peluaga (CERN) ; Urban, Jakub (CERN)
Over the last decades, several data preservation efforts have been undertaken by the HEP community, as experiments are not repeatable and consequently their data considered unique. ARCHIVER is a European Commission (EC) co-funded Horizon 2020 pre-commercial procurement project procuring R&D; combining multiple ICT technologies including data-intensive scalability, network, service interoperability and business models, in a hybrid cloud environment. [...]
2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 02044 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02044
8.
Addressing a billion-entries multi-petabyte distributed file system backup problem with cback: from files to objects / Cameselle, Roberto Valverde (CERN) ; Gonzalez Labrador, Hugo (CERN)
CERNBox is the cloud collaboration hub at CERN. The service has more than 37,000 user accounts. [...]
2021 - 14 p. - Published in : EPJ Web Conf. 251 (2021) 02071 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02071
9.
Exploring the virtues of XRootD5: Declarative API / Simon, Michal (CERN) ; Hanushevsky, Andrew (SLAC)
Across the years, being the backbone of numerous data management solutions used within the WLCG collaboration, the XRootD framework and protocol became one of the most important building blocks for storage solutions in the High Energy Physics (HEP) community. The latest big milestone for the project, release 5, introduced multitude of architectural improvements and functional enhancements, including the new client side declarative API, which is the main focus of this study. [...]
2021 - 10 p. - Published in : EPJ Web Conf. 251 (2021) 02063 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02063
10.
Laurelin: Java-native ROOT I/O for Apache Spark / Melo, Andrew (Vanderbilt U.) ; Shadura, Oksana (Nebraska U.) /CMS Collaboration
Apache Spark[1] is one of the predominant frameworks in the big data space, providing a fully-functional query processing engine, vendor support for hardware accelerators, and performant integrations with scientific computing libraries. One difficulty in adopting conventional big data frameworks to HEP workflows is the lack of support for the ROOT file format in these frameworks. [...]
2021 - 8 p. - Published in : EPJ Web Conf. 251 (2021) 02072 Fulltext: PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.02072

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