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MIXMAX Network Meeting

Europe/Zurich
160/1-009 (CERN)

160/1-009

CERN

48
Show room on map
Georgios Savvidis (Nat. Cent. for Sci. Res. Demokritos (GR)), Lorenzo Moneta (CERN)
Description
First meeting of the MIXMAX network on innovative pseudo-random number generators. CERN is hosting the first meeting of the MIXMAX network, a collaboration between European institutes and CERN (EU project MIXMAX-H2020-MSCA-RISE02014) to develop a new class of pseudo-random number generators based on Kolmogorov-Anosov K-systems. These new type of generators demonstrate excellent statistical property and the aim of the project is to turn them in useful products for Monte Carlo simulations and to integrate them in the CERN software applications used by the LHC and other HEP experiments. During the first meeting, an overview of the current status of the pseudo-random number generators will be presented together with the current development status of these new class of generators. Use cases for pseudo-random number generators in HEP applications such as simulations or statistical analysis will be discussed, in particular the requirements coming from applications running in a concurrent environment.
    • 1
      Welcome
      Speaker: John Harvey (CERN)
      Slides
    • 2
      Random number generators in ROOT
      Speaker: Lorenzo Moneta (CERN)
      Slides
    • 3
      Implementation of the MIXMAX random number generator
      Speaker: Kostas Savvidis (Nanjing University, China)
      Slides
    • 10:20
      Coffe Break
    • 4
      Statistical test of the MIXMAX RNG
      Speaker: Gevorg Karyan (A. I. Alikhanyan National Science Laboratory)
      Slides
    • 5
      A priori tests for MIXMAX RNG: Spectral tests and Correlation tests
      Speaker: Spyros Konitopoulos (N)
    • 6
      Overview of RNG's
      Speaker: Fred James (European Organization for Nuclear Research (CERN))
      Slides
    • 12:30
      Lunch
    • 7
      Use cases and requirements from Detector Simulation
      Speaker: John Apostolakis (CERN)
      Slides
    • 8
      Monte-Carlo Simulations in Quantum Gravity and RNG’s
      Speaker: A. Goerlich
      Slides
    • 9
      RNG based on Anosov-Kolmogorov systems: the entropy, periodic trajectories, Galois field and RNG’s
      Speaker: Georgios Savvidis (Nat. Cent. for Sci. Res. Demokritos (GR))
    • Round Table Discussion