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Introduction to High performance Computing with GPUs / Hesam, Ahmad Siar (speaker) (CERN)
2021 - 1:19:24. Lectures; Ahmad Siar Hesam: Intro to High performance Computing with GPUs External links: Talk details; Event details In : Ahmad Siar Hesam: Intro to High performance Computing with GPUs

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Experiment Simulation Configurations Approximating DUNE TDR / DUNE Collaboration
The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscillation experiment consisting of a high-power, broadband neutrino beam, a highly capable near detector located on site at Fermilab, in Batavia, Illinois, and a massive liquid argon time projection chamber (LArTPC) far detector located at the 4850L of Sanford Underground Research Facility in Lead, South Dakota. [...]
arXiv:2103.04797 ; FERMILAB-FN-1125-ND. - 15.
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Prospects for Beyond the Standard Model Physics Searches at the Deep Underground Neutrino Experiment / DUNE Collaboration
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. [...]
arXiv:2008.12769; FERMILAB-PUB-20-459-LBNF-ND; FERMILAB-PUB-20-459-LBNF-ND.- 2021-04-16 - 51 p. - Published in : Eur. Phys. J. C 81 (2021) 322 Article from SCOAP3: PDF; Fulltext: 2008.12769 - PDF; Fermilab Library Server - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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Supernova Neutrino Burst Detection with the Deep Underground Neutrino Experiment / DUNE Collaboration
The Deep Underground Neutrino Experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. [...]
arXiv:2008.06647; FERMILAB-PUB-20-380-LBNF; FERMILAB-PUB-20-380-LBNF.- 2021-05-15 - 26 p. - Published in : Eur. Phys. J. C 81 (2021) 423 Fulltext: 2008.06647 - PDF; fermilab-pub-20-380-lbnf - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server (fulltext available)

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Long-baseline neutrino oscillation physics potential of the DUNE experiment / DUNE Collaboration
The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. [...]
arXiv:2006.16043; FERMILAB-PUB-20-251-E-LBNF-ND-PIP2-SCD; PUB-20-251-E-LBNF-ND-PIP2-SCD.- 2020-10-22 - 34 p. - Published in : Eur. Phys. J. C 80 (2020) 978 Article from SCOAP3: PDF; Fulltext: 2006.16043 - PDF; fermilab-pub-20-251-e-lbnf-nd-pip2-scd - PDF; External link: Fermilab Library Server (fulltext available)

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Neutrino interaction classification with a convolutional neural network in the DUNE far detector / DUNE Collaboration
The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure $CP$-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on a convolutional neural network has been developed to provide highly efficient and pure selections of electron neutrino and muon neutrino charged-current interactions. [...]
arXiv:2006.15052; FERMILAB-PUB-20-241-E.- 2020-11-09 - 20 p. - Published in : Phys. Rev. D 102 (2020) 092003 Fulltext: 2006.15052 - PDF; fermilab-pub-20-241-e - PDF; Fulltext from Publisher: PhysRevD.102 - PDF; 10.1103_PhysRevD.102.092003 - PDF; External link: Fermilab Library Server (fulltext available)

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First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform / DUNE Collaboration
The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber with an active volume of $7.2\times 6.0\times 6.9$ m$^3$. It is installed at the CERN Neutrino Platform in a specially-constructed beam that delivers charged pions, kaons, protons, muons and electrons with momenta in the range 0.3 GeV$/c$ to 7 GeV/$c$. [...]
arXiv:2007.06722; FERMILAB-PUB-20-059-AD-ESH-LBNF-ND-SCD; CERN-EP-2020-125.- 2020-12-03 - 104 p. - Published in : JINST 15 (2020) P12004 Fulltext: 2007.06722 - PDF; fermilab-pub-20-059-ad-esh-lbnf-nd-scd - PDF; Fulltext from Publisher: HTM; Fulltext from publisher: PDF; External link: Fermilab Library Server (fulltext available)

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Intro to High Performance Computing with GPUs / Hesam, Ahmad Siar (speaker) (Technische Universiteit Delft (NL))
NB: bring your laptops and complete the steps as described in the "gpu-hands-on-instructions.docx" file in the materials before the talk please! We will learn about the core concepts of GPUs and their place in High-Performance Computing. After the introduction, most of the focus will be on the hands-on session that will be part of this lecture. [...]
2019 - 7042. CERN openlab Summer Student programme 2019 External link: Event details In : Intro to High Performance Computing with GPUs

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BioDynaMo: Biological simulation in the cloud / Breitwieser, Lukas (speaker) (openlab) ; Hesam, Ahmad Siar (speaker) (Technische Universiteit Delft (NL))
Besides its traditional joint R&D; activities between CERN and industry, CERN openlab runs an extensive programme of knowledge sharing projects. The goal is to understand what technologies and skills from the HEP community can be applied in other sciences and conversely if any ideas from other research communities can be used to support the HEP computing and data infrastructure. [...]
2017 - 3410. IT Technical Forum (ITTF); BioDynaMo: Biological simulation in the cloud External links: Talk details; Event details In : BioDynaMo: Biological simulation in the cloud

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Vedi anche: autori con nomi simili
6	Hesam, Ahmad
10	Hesam, Ahmad Siar

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