most citedDesign, development and validation of electron ionisation models for nano-scale simulation

5 citations · 14 across the 13 of their papers we have counts for

collaborators

13 papers

physics.comp-ph2010

Epistemic and systematic uncertainties in Monte Carlo simulation: an investigation in proton Bragg peak simulation

Maria Grazia Pia, Marcia Begalli, Anton Lechner +2

The issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposi…

physics.comp-ph2010

The impact of Monte Carlo simulation: a scientometric analysis of scholarly literature

Maria Grazia Pia, Tullio Basaglia, Zane W. Bell +1

A scientometric analysis of Monte Carlo simulation and Monte Carlo codes has been performed over a set of representative scholarly journals related to radiation physics. The result…

physics.comp-ph20105 cited

Conceptual challenges and computational progress in X-ray simulation

Maria Grazia Pia, Mauro Augelli, Marcia Begalli +7

Recent developments and validation tests related to the simulation of X-ray fluorescence and PIXE with Geant4 are reviewed. They concern new models for PIXE, which has enabled the…

physics.comp-ph2010

New techniques in Monte Carlo simulation: experience with a prototype of generic programming application to Geant4 physics processes

Maria Grazia Pia, Mauro Augelli, Marcia Begalli +5

An investigation is in progress to evaluate extensively and quantitatively the possible benefits and drawbacks of new programming paradigms in a Monte Carlo simulation environment,…

physics.comp-ph20102 cited

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.comp-ph2010

Quantifying the Unknown

Maria Grazia Pia, Matej Batič, Marcia Begalli +3

The issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposi…