1.
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Ganga: a tool for computational-task management and easy access to Grid resources
/ Mościcki, J.T. (CERN) ; Brochu, F. (Cambridge U.) ; Ebke, J. (LMU Munich (main)) ; Egede, U. (Imperial Coll., London) ; Elmsheuser, J. (LMU Munich (main)) ; Harrison, K. (Cambridge U.) ; Jones, R.W.L. (Lancaster U.) ; Lee, H.C. (NIKHEF, Amsterdam) ; Liko, D. (CERN) ; Maier, A. (CERN) et al.
We present the computational task-management tool Ganga, which allows for the specification, submission, bookkeeping and post processing of computational tasks on a wide set of distributed resources. Ganga effectively provides a homogeneous environment for processing data on heterogeneous resources. [...]
arXiv:0902.2685.-
2009-11 - 14 p.
- Published in : Comput. Phys. Commun. 180 (2009) 2303-2316
External link: Preprint
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2.
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Key developments of the Ganga task-management framework
/ Dzhunov, IA (Sofiya U.) ; Kenyon, M J (CERN) ; Moscicki, J (CERN) ; Richards, A J (Imperial Coll., London) ; Slater, M W (Birmingham U.) ; Brochu, F (Trinity Coll., Cambridge) ; Ebke, J (Munich U.) ; Egede, U (Imperial Coll., London) ; Lee, H (NIKHEF, Amsterdam) ; Van Der Ster, D C (CERN) et al.
Ganga is the main end-user distributed analysis tool for the ATLAS and LHCb experiments and provides the foundation layer for the HammerCloud system, used by the LHC experiments for validation and stress testing of their numerous distributed computing facilities. Here we illustrate recent developments and demonstrate how tools that were initially developed for a specific user community have been migrated into the Ganga core, and so can be exploited by a wider user-base. [...]
2012 - 9 p.
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032061
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3.
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4.
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ATLAS Muon Calibration Framework
/ CARLINO, G (INFN, Naples ; Naples U.) ; De Salvo, A (INFN, Rome ; Rome U.) ; Di Simone, A (INFN, Rome ; Rome U.) ; Doria, A (INFN, Naples ; Naples U.) ; Jha, MK (INFN, CNAF ; INFN, Bologna) ; Mazzaferro, L (INFN, Rome ; Rome U.) ; Walker, R (Munich U.)
Automated calibration of the ATLAS detector subsystems ( like MDT and RPC chambers) are being performed at remote sites, called Remote Calibration Centers. [...]
ATL-SOFT-PROC-2011-030.
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2011. - 6 p.
Original Communication (restricted to ATLAS) - Full text
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5.
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GANGA: a user-Grid interface for Atlas and LHCb
/ Harrison, K. (Cambridge U.) ; Lavrijsen, W.T.L.P. (LBL, Berkeley) ; Tull, C.E. (LBL, Berkeley) ; Mato, P. (CERN) ; Soroko, A. (Oxford U.) ; Tan, C.L. (Birmingham U.) ; Brook, N. (Bristol U.) ; Jones, R.W.L. (Lancaster U.)
The Gaudi/Athena and Grid Alliance (GANGA) is a front-end for the configuration, submission, monitoring, bookkeeping, output collection, and reporting of computing jobs run on a local batch system or on the grid. In particular, GANGA handles jobs that use applications written for the Gaudi software framework shared by the Atlas and LHCb experiments. [...]
cs/0306085; CHEP-2003-TUCT002.-
Berkeley, CA : Lawrence Berkeley Nat. Lab., 2003 - 9 p.
Fulltext: PDF; External link: Proceedings write-up on eConf
In : 2003 Conference for Computing in High-Energy and Nuclear Physics, La Jolla, CA, USA, 24 - 28 Mar 2003, pp.TUCT002
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6.
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Report on the ECFA Early-Career Researchers Debate on the 2020 European Strategy Update for Particle Physics
/ Bethani, A. (ed.) (Cathol. U. Louvain (main)) ; Brondolin, E. (ed.) (CERN) ; Elliot, A.A. (ed.) (Queen Mary, U. of London (main)) ; García Pardiñas, J. (ed.) (U. Zurich (main)) ; Gilles, G. (ed.) (Bergische U., Wuppertal (main)) ; Gouskos, L. (ed.) (CERN) ; Gouveia, E. (ed.) (LIP, Minho) ; Graverini, E. (ed.) (Ecole Polytechnique, Lausanne) ; Hermansson-Truedsson, N. (ed.) (Lund U. (main)) ; Irles, A. (ed.) (IJCLab, Orsay) et al.
A group of Early-Career Researchers (ECRs) has been given a mandate from the European Committee for Future Accelerators (ECFA) to debate the topics of the current European Strategy Update (ESU) for Particle Physics and to summarise the outcome in a brief document [1]. A full-day debate with 180 delegates was held at CERN, followed by a survey collecting quantitative input. [...]
arXiv:2002.02837; CERN-OPEN-2020-006.-
Geneva : CERN, 2020 - 48 p.
Fulltext: ECR_EFCA_report_submission_date (1) - PDF; 2002.02837 - PDF; CERN-OPEN-2020-006 - PDF; External link: CERN Courier article
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7.
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User analysis of LHCb data with Ganga
/ Maier, A (CERN) ; Brochu, F (Cambridge U.) ; Cowan, G (Edinburgh U.) ; Egede, U (Imperial Coll., London) ; Elmsheuser, J (Munich U.) ; Gaidioz, B (CERN) ; Harrison, K (Birmingham U.) ; Lee, H -C (NIKHEF, Amsterdam) ; Liko, D (Vienna, OAW) ; Moscicki, J (CERN) et al.
GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent user analysis tool in a variety of heterogeneous environments: from local clusters to global Grid systems. Experiment specific plug-ins allow GANGA to be customised for each experiment [...]
2010
- Published in : J. Phys.: Conf. Ser. 219 (2010) 072008
In : 17th International Conference on Computing in High Energy and Nuclear Physics, Prague, Czech Republic, 21 - 27 Mar 2009, pp.072008
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8.
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Performance of the LHCb RICH detectors during LHC Run 2
/ Calabrese, R. (INFN, Ferrara ; U. Ferrara (main)) ; Fiorini, M. (INFN, Ferrara ; U. Ferrara (main)) ; Luppi, E. (INFN, Ferrara ; U. Ferrara (main)) ; Minzoni, L. (INFN, Ferrara ; U. Ferrara (main)) ; Slazyk, I. (INFN, Ferrara ; U. Ferrara (main)) ; Tomassetti, L. (INFN, Ferrara ; U. Ferrara (main)) ; Bartolini, M. (INFN, Genoa ; U. Genoa) ; Cardinale, R. (INFN, Genoa ; U. Genoa) ; Fontanelli, F. (INFN, Genoa ; U. Genoa) ; Petrolini, A. (INFN, Genoa ; U. Genoa) et al.
The performance of the ring-imaging Cherenkov detectors at the LHCb experiment is determined during the LHC Run 2 period between 2015 and 2018. The stability of the Cherenkov angle resolution and number of detected photons with time and running conditions is measured. [...]
arXiv:2205.13400; LHCb-DP-2021-004.-
2022-07-06 - 23 p.
- Published in : JINST 17 (2022) P07013
Fulltext: document - PDF; 2205.13400 - PDF;
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9.
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L1 Track Finding for a Time Multiplexed Trigger
/ CMS Collaboration
At the HL-LHC, proton bunches will cross each other every 25 ns, producing an average of 140 p p-collisions per bunch crossing. To operate in such an environment, the CMS experiment will need a L1 hardware trigger able to identify interesting events within a latency of 12.5 us. [...]
CMS-CR-2015-106.-
Geneva : CERN, 2016 - 3 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 824 (2016) 268-269
Fulltext: PDF;
In : Frontier Detectors for Frontier Physics: 13th Pisa Meeting on Advanced Detectors, La Biodola, Isola D'elba, Italy, 24 - 30 May 2015, pp.268-269
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10.
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Charmed Beauty Decays at LHCb
/ Williams, Mike (Imperial College London, London, United Kingdom / Imperial College London, London, United Kingdom / Massachussets Institutes of Technologie, Cambridge, MA, United States)
LHCb-TALK-2012-275.-
Geneva : CERN, 2012 - 20.
Fulltext: PDF;
In : 7th International Workshop on the CKM Unitarity Triangle, Cincinnati, Ohio, United States Of America, 28 Sep - 2 Oct 2012
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