CERN Accelerating science

CERN Published Articles

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2019-11-16
09:33
α -decay properties of $^{200,202}$FR / Ghys, L (Leuven U. ; SCK-CEN, Mol) ; Andreyev, A N (York U., England ; JAEA, Ibaraki) ; Huyse, M (Leuven U.) ; Van Duppen, P (Leuven U.) ; Antalic, S (Comenius U.) ; Barzakh, A (St. Petersburg, INP) ; Capponi, L (West Scotland U.) ; Cocolios, T E (Leuven U. ; CERN ; Manchester U.) ; Cubiss, J (York U., England) ; Derkx, X (West Scotland U. ; ENSICAEN) et al.
Background: The neutron-deficient lead region provides a range of nuclear phenomena, including isomerism at low energies. This phenomenon can be studied by α decay because the degree of hindrance of α decay provides information on the change in nuclear structure of connected states. [...]
2019 - 13 p. - Published in : Phys. Rev. C 100 (2019) 054310 Fulltext: PDF;

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2019-11-16
09:33
Electromagnetic physics vectorization in the GeantV transport framework / Amadio, Guilherme (CERN) ; Ananya (CERN) ; Apostolakis, John (CERN) ; Bandieramonte, Marilena (CERN ; U. Pittsburgh (main)) ; Behera, S P (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, Abhijit (Bhabha Atomic Res. Ctr.) ; Brun, Rene (CERN) ; Canal, Philippe (Fermilab) ; Carminati, Federico (CERN) ; Cosmo, Gabriele (CERN) et al.
The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementation. [...]
2019 - 11 p. - Published in : EPJ Web Conf. 214 (2019) 02031 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02031

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2019-11-16
09:33
A scalable and asynchronous detector simulation system based on ALFA / Wenzel, Sandro (CERN) /ALICE
In the context of the common online-offline computing infrastructure for Run3 (ALICE-O2), ALICE is reorganizing its detector simulation software to be based on FairRoot, offering a common toolkit to implement simulation based on the Virtual-Monte-Carlo (VMC) scheme. Recently, FairRoot has been augmented by ALFA, a software framework developed in collaboration between ALICE and FAIR, offering portable building blocks to construct message-based and loosely-coupled multiprocessing systems. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02029 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02029

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2019-11-16
09:33
A vectorization approach for multifaceted solids in VecGeom / Apostolakis, John (CERN) ; Cosmo, Gabriele (CERN) ; Gheata, Andrei (CERN) ; Gheata, Mihaela (CERN ; Bucharest, Inst. Space Science) ; Sehgal, Raman (Bhabha Atomic Res. Ctr.) ; Wenzel, Sandro (CERN) /VecGeom team
VecGeom [1] is a multi-purpose geometry library targeting the optimisation of the 3D-solids’ algorithms used extensively in particle transport and tracking applications. The implementations of these algorithms are templated on the input data type and are vectorised based on the VecCore [2] abstraction library in case of multiple inputs in a SIMD vector. [...]
2019 - 7 p. - Published in : EPJ Web Conf. 214 (2019) 02025 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02025

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2019-11-16
09:33
Perspectives for the migration of the LHCb geometry to the DD4hep toolkit / Borghi, Silvia (U. Manchester (main)) ; Burr, Chris (U. Manchester (main)) ; Clemencic, Marco (CERN) ; Corti, Gloria (CERN) ; Couturier, Ben (CERN) ; Frank, Markus (CERN) ; Grillo, Lucia (U. Manchester (main)) ; Muller, Dominik (CERN)
The LHCb experiment uses a custom made C++ detector and geometry description toolkit, integrated with the Gaudi framework, designed when the LHCb software was first implemented. With the LHCb upgrade scheduled for 2021, it is necessary for the experiment to review this choice and adapt to the evolution of software and computing (in terms of e.g multi-threading support or vectorization) The Detector Description Toolkit for High Energy Physics (DD4hep) is a good candidate for the replacement for LHCb’s geometry description framework: it is possible to integrate it with the LHCb core software framework and its features theoretically match the requirements: in terms of geometry and detector description but also concerning the possibility to add detector alignment parameters and the integration with simulation tools. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02022 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02022

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2019-11-16
09:33
Data preparation for NA62 / Laycock, Paul (CERN) /NA62
In 2017, NA62 recorded over a petabyte of raw data, collecting around a billion events per day of running. Data are collected in bursts of 3-5 seconds, producing output files of a few gigabytes. [...]
2019 - 6 p. - Published in : EPJ Web Conf. 214 (2019) 02017 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02017

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2019-11-16
09:33
Optimizing frameworks’ performance using C++ Modules Aware ROOT / Takahashi, Yuka (Princeton U. (main) ; CERN) ; Vassilev, Vassil (Princeton U. (main)) ; Shadura, Oksana (U. Nebraska, Lincoln) ; Isemann, Raphael (CERN ; Chalmers U. Tech.)
ROOT is a data analysis framework broadly used in and outside of High Energy Physics (HEP). Since HEP software frameworks always strive for performance improvements, ROOT was extended with experimental support of runtime C++ Modules. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02011 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02011

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2019-11-16
09:33
3D convolutional GAN for fast simulation / Vallecorsa, Sofia (CERN ; Gangneung-Wonju Natl. U.) ; Carminati, Federico (CERN) ; Khattak, Gulrukh (CERN ; Peshawar U.)
Machine Learning techniques have been used in different applications by the HEP community: in this talk, we discuss the case of detector simulation. The need for simulated events, expected in the future for LHC experiments and their High Luminosity upgrades, is increasing dramatically and requires new fast simulation solutions. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02010 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02010

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2019-11-16
09:33
Recent progress with the top to bottom approach to vectorization in GeantV / Amadio, Guilherme (CERN) ; Ananya ; Apostolakis, John (CERN) ; Bandieramonte, Marilena (CERN ; U. Pittsburgh (main)) ; Behera, Shiba (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, Abhijit (Bhabha Atomic Res. Ctr.) ; Brun, René (CERN) ; Canal, Philippe (Fermilab) ; Carminati, Federico (CERN) ; Cosmo, Gabriele (CERN) et al.
SIMD acceleration can potentially boost by factors the application throughput. Achieving efficient SIMD vectorization for scalar code with complex data flow and branching logic, goes however way beyond breaking some loop dependencies and relying on the compiler. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02007 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02007

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2019-11-16
09:33
Adopting new technologies in the LHCb Gauss simulation framework / Müller, Dominik (CERN) /LHCb
The increase in luminosity foreseen in the future years of operation of the Large Hadron Collider (LHC) creates new challenges in computing efficiency for all participating experiment. For Run 3 of the LHC, the LHCb collaboration needs to simulate about two orders of magnitude more Monte Carlo events to exploit the increased luminosity and trigger rate. [...]
2019 - 6 p. - Published in : EPJ Web Conf. 214 (2019) 02004 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02004

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