3 citations · 11 across the 8 of their papers we have counts for
6 papers · 1 filter
A Portable Implementation of RANLUX++
Jonas Hahnfeld, Lorenzo Moneta
High energy physics has a constant demand for random number generators (RNGs) with high statistical quality. In this paper, we present ROOT's implementation of the RANLUX++ generat…
Review of High-Quality Random Number Generators
Frederick James, Lorenzo Moneta
This is a review of pseudorandom number generators (RNG's) of the highest quality, suitable for use in the most demanding Monte Carlo calculations. All the RNG's we recommend here…
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…
Physics data management tools: computational evolutions and benchmarks
Mincheol Han, Chan-Hyeung Kim, Lorenzo Moneta +2
The development of a package for the management of physics data is described: its design, implementation and computational benchmarks. This package improves the data management too…
Physics Data Management Tools for Monte Carlo Transport: Computational Evolutions and Benchmarks
Mincheol Han, Maria Grazia Pia, Hee Seo +2
The development of a package for the management of physics data is described: its design, implementation and computational benchmarks. This package improves the data management too…
SEAL: Common Core Libraries and Services for LHC Applications
J. Generowicz, P. Mato, L. Moneta +3
The CERN LHC experiments have begun the LHC Computing Grid project in 2001. One of the project's aims is to develop common software infrastructure based on a development vision sha…