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Upgrading the CMS Robot (Mechanical) / Zi Jun, Shim (University of Nottingham)
This report only covers the overall improvement of the robot body mechanically. [...]
CERN-STUDENTS-Note-2024-198. - 2024
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Optimizing Geant4 Hadronic Models / Genser, Krzysztof (Fermilab) ; Jun, Soon Yung (Fermilab) ; Ribon, Alberto (CERN) ; Uzhinsky, Vladimir (Dubna, JINR) ; Yarba, Julia (Fermilab)
Geant4, the leading detector simulation toolkit used in high energy physics, employs a set of physics models to simulate interactions of particles with matter across a wide range of energies. These models, especially the hadronic ones, rely largely on directly measured cross-sections and inclusive characteristics, and use physically motivated parameters. [...]
arXiv:2309.12407; FERMILAB-CONF-23-436-CSAID.- 2024 - 7 p.
- Published in : EPJ Web Conf.: 295 (2024) , pp. 03026 Fulltext: 2309.12407 - PDF; Publication - PDF; FERMILAB-CONF-23-436-CSAID - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.03026

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Measurement of the charge asymmetry of electrons from the decays of $W$ bosons produced in $p\bar{p}$ collisions at $\sqrt{s}=1.96$ TeV / CDF Collaboration
At the Fermilab Tevatron proton-antiproton ($p\bar{p}$) collider, high-mass electron-neutrino ($e\nu$) pairs are produced predominantly in the process $p \bar{p} \rightarrow W(\rightarrow e\nu) + X$. The asymmetry of the electron and positron yield as a function of their pseudorapidity constrain the slope of the ratio of the $u$- to $d$-quark parton distributions versus the fraction of the proton momentum carried by the quarks. [...]
arXiv:2107.04678; FERMILAB-PUB-21-293-E.- 2021-11-01 - 27 p. - Published in : Phys. Rev. D 104 (2021) 092002 Fulltext: Fulltext - PDF; fermilab-pub-21-293-e - PDF; 2107.04678 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Vectorization of Random Number Generation and Reproducibility of Concurrent Particle Transport Simulation / Jun, S Y (Fermilab) ; Canal, P (Fermilab) ; Apostolakis, J (CERN) ; Gheata, A (CERN) ; Moneta, L (CERN)
Efficient random number generation with high quality statistical properties and exact reproducibility of Monte Carlo simulations are important requirements in many areas of computational science. VecRNG is a package providing pseudo-random number generation (pRNG) in the context of a new library VecMath. [...]
FERMILAB-CONF-19-035-CD.- IOP, 2020 - 7 p. - Published in : J. Phys.: Conf. Ser. 1525 (2020) 012054 Fulltext: PDF; External link: Fermilab Library Server (fulltext available)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019, pp.012054

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GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP / Amadio, G. (CERN) ; Ananya, A. (CERN) ; Apostolakis, J. (CERN) ; Bandieramonte, M. (CERN ; Pittsburgh U.) ; Banerjee, S. (Fermilab) ; Bhattacharyya, A. (Bhabha Atomic Res. Ctr.) ; Bianchini, C. (Sao Paulo, IFT ; Mackenzie Presbiteriana U.) ; Bitzes, G. (CERN) ; Canal, P. (Fermilab) ; Carminati, F. (CERN) et al.
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. [...]
arXiv:2005.00949; FERMILAB-PUB-20-200-SCD.- 2021-01-03 - 34 p. - Published in : Comput. Softw. Big Sci. 5 (2021) 3 Fulltext: fermilab-pub-20-200-scd - PDF; 2005.00949 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)

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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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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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Progress of Geant4 electromagnetic physics developments and applications / Geant4 Collaboration
We report on developments of the Geant4 electromagnetic physics sub-libraries of Geant4 release 10.4 and beyond. Modifications are introduced to the models of photoelectric effect, bremsstrahlung, gammaconversion, single and multiple scattering. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02046 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.02046

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GEANT4 Parameter Tuning Using Professor / Elvira, V. (Fermilab) ; Fields, L. (Fermilab) ; Genser, K.L. (Fermilab) ; Hatcher, R. (Fermilab) ; Ivanchenko, V. (CERN ; Tomsk State U.) ; Kelsey, M. (SLAC) ; Koi, T. (SLAC) ; Perdue, G.N. (Fermilab) ; Ribon, A. (CERN) ; Uzhinsky, V. (CERN) et al.
The Geant4 toolkit is used extensively in high energy physics to simulate the passage of particles through matter and to predict effects such as detector efficiencies and smearing. Geant4 uses many underlying models to predict particle interaction kinematics, and uncertainty in these models leads to uncertainty in high energy physics measurements. [...]
arXiv:1910.06417; FERMILAB-PUB-19-526-SCD.- 2020-02-27 - 45 p. - Published in : JINST 15 (2020) P02025 Fulltext: 1910.06417 - PDF; fermilab-pub-19-526-scd - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)

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10.

GeantV alpha release / Amadio, G (CERN) ; Ananya, (IIT, Roorkee) ; Apostolakis, J (CERN) ; Bandieramonte, M (CERN) ; Behera, S (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; Cosmo, G (CERN) et al.
In the fall 2016, GeantV went through a thorough community evaluation of the project status and of its strategy for sharing the R&D; results with the LHC experiments and with the HEP simulation community in general. Following this discussion, GeantV has engaged onto an ambitious 2-year road-path aiming to deliver a beta version that has most of the final design and several performance features of the final product, partially integrated with some of the experiment’s frameworks. [...]
2018 - 7 p. - Published in : J. Phys.: Conf. Ser. 1085 (2018) 032037 Fulltext: PDF;
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.032037

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See also: similar author names
2	Jun, S C
1	Jun, S W
203	Jun, S Y
1	Jun, S-Y
123	Jun, S.Y.
7	Jun, Shen
177	Jun, Soon Yung
2	Jun, Suckjoon

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