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

5 citations · 11 across the 9 of their papers we have counts for

collaborators

9 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-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-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…

physics.comp-ph2010

Atomic Parameters for Monte Carlo Transport Simulation: Survey, Validation and Induced Systematic Effects

H. Seo, M. G. Pia, L. Quintieri +3

A wide survey has been performed, concerning atomic binding energies and ionization energies used by well- known general purpose Monte Carlo codes and a few specialized electromagn…

physics.comp-ph20101 cited

Data libraries as a collaborative tool across Monte Carlo codes

Mauro Augelli, Marcia Begalli, Mincheol Han +10

The role of data libraries in Monte Carlo simulation is discussed. A number of data libraries currently in preparation are reviewed; their data are critically examined with respect…