AtlFast3: The Next Generation of Fast Simulation in ATLAS

doi:10.1007/s41781-021-00079-7

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/87729

Registo completo

Campo DC	Valor	Idioma
dc.contributor.author	Castro, Nuno Filipe	por
dc.contributor.author	Onofre, A.	por
dc.contributor.author	ATLAS Collaboration	por
dc.date.accessioned	2024-01-02T21:40:09Z	-
dc.date.available	2024-01-02T21:40:09Z	-
dc.date.issued	2022	-
dc.identifier.citation	Aad, G., Abbott, B., Abbott, D. C., Abud, A. A., Abeling, K., Abhayasinghe, D. K., . . . Zwalinski, L. (2022). AtlFast3: The Next Generation of Fast Simulation in ATLAS.. Computing and Software for Big Science, 6(1). doi: 10.1007/s41781-021-00079-7	por
dc.identifier.issn	2510-2036	-
dc.identifier.uri	https://hdl.handle.net/1822/87729	-
dc.description	This manuscript has associated data in a data repository. [Author’s comment: “All ATLAS scientific output is published in journals, and preliminary results are made available in Conference Notes. All are openly available, without restriction on use by external parties beyond copyright law and the standard conditions agreed by CERN. Data associated with journal publications are also made available: tables and data from plots (e.g. cross section values, likelihood profiles, selection efficiencies, cross section limits, ...) are stored in appropriate repositories such as HEPDATA (http://hepdata.cedar.ac.uk/). ATLAS also strives to make additional material related to the paper available that allows a reinterpretation of the data in the context of new theoretical models. For example, an extended encapsulation of the analysis is often provided for measurements in the framework of RIVET (http://rivet.hepforge.org/).” This information is taken from the ATLAS Data Access Policy, which is a public document that can be downloaded from http://opendata.cern.ch/record/413[opendata.cern.ch].]	por
dc.description.abstract	The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.	por
dc.description.sponsorship	We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Arme- nia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Min- ciencias, Colombia; MSMT CR, MPO CR and VSC CR, Czech Repub- lic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Fed- eration; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Founda- tion, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzer- land; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mech- anism 2014-2021, Norway; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Pro- grammes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowl- edged gratefully, in particular from CERN, the ATLAS Tier-1 facili- ties at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC- IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (The Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK), and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [72].	por
dc.language.iso	eng	por
dc.publisher	Springer	por
dc.rights	openAccess	por
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	por
dc.title	AtlFast3: The Next Generation of Fast Simulation in ATLAS	por
dc.type	article	por
dc.peerreviewed	yes	por
dc.relation.publisherversion	https://link.springer.com/article/10.1007/s41781-021-00079-7	por
oaire.citationIssue	1	por
oaire.citationVolume	6	por
dc.identifier.eissn	2510-2044	-
dc.identifier.doi	10.1007/s41781-021-00079-7	por
dc.subject.fos	Ciências Naturais::Ciências Físicas	por
dc.description.publicationversion	info:eu-repo/semantics/publishedVersion	-
sdum.journal	Computing and Software for Big Science	por
oaire.version	VoR	por
Aparece nas coleções:	LIP - Artigos/papers