675 research outputs found
Photon elastic scattering simulation: validation and improvements to Geant4
Several models for the simulation of photon elastic scattering are
quantitatively evaluated with respect to a large collection of experimental
data retrieved from the literature. They include models based on the form
factor approximation, on S-matrix calculations and on analytical
parameterizations; they exploit publicly available data libraries and
tabulations of theoretical calculations. Some of these models are currently
implemented in general purpose Monte Carlo systems; some have been implemented
and evaluated for the first time in this paper for possible use in Monte Carlo
particle transport. The analysis mainly concerns the energy range between 5 keV
and a few MeV. The validation process identifies the newly implemented model
based on second order S-matrix calculations as the one best reproducing
experimental measurements. The validation results show that, along with
Rayleigh scattering, additional processes, not yet implemented in Geant4 nor in
other major Monte Carlo systems, should be taken into account to realistically
describe photon elastic scattering with matter above 1 MeV. Evaluations of the
computational performance of the various simulation algorithms are reported
along with the analysis of their physics capabilities
Validation of Compton Scattering Monte Carlo Simulation Models
Several models for the Monte Carlo simulation of Compton scattering on
electrons are quantitatively evaluated with respect to a large collection of
experimental data retrieved from the literature. Some of these models are
currently implemented in general purpose Monte Carlo systems; some have been
implemented and evaluated for possible use in Monte Carlo particle transport
for the first time in this study. Here we present first and preliminary results
concerning total and differential Compton scattering cross sections.Comment: 5 pages, 3 figures, to be published in the Proceedings of IEEE
Nuclear Science Symposium 201
Validation Test of Geant4 Simulation of Electron Backscattering
Backscattering is a sensitive probe of the accuracy of electron scattering
algorithms implemented in Monte Carlo codes. The capability of the Geant4
toolkit to describe realistically the fraction of electrons backscattered from
a target volume is extensively and quantitatively evaluated in comparison with
experimental data retrieved from the literature. The validation test covers the
energy range between approximately 100 eV and 20 MeV, and concerns a wide set
of target elements. Multiple and single electron scattering models implemented
in Geant4, as well as preassembled selections of physics models distributed
within Geant4, are analyzed with statistical methods. The evaluations concern
Geant4 versions from 9.1 to 10.1. Significant evolutions are observed over the
range of Geant4 versions, not always in the direction of better compatibility
with experiment. Goodness-of-fit tests complemented by categorical analysis
tests identify a configuration based on Geant4 Urban multiple scattering model
in Geant4 version 9.1 and a configuration based on single Coulomb scattering in
Geant4 10.0 as the physics options best reproducing experimental data above a
few tens of keV. At lower energies only single scattering demonstrates some
capability to reproduce data down to a few keV. Recommended preassembled
physics configurations appear incapable of describing electron backscattering
compatible with experiment. With the support of statistical methods, a
correlation is established between the validation of Geant4-based simulation of
backscattering and of energy deposition
Investigation of Geant4 Simulation of Electron Backscattering
A test of Geant4 simulation of electron backscattering recently published in
this journal prompted further investigation into the causes of the observed
behaviour. An interplay between features of geometry and physics algorithms
implemented in Geant4 is found to significantly affect the accuracy of
backscattering simulation in some physics configurations
Quantitative Test of the Evolution of Geant4 Electron Backscattering Simulation
Evolutions of Geant4 code have affected the simulation of electron
backscattering with respect to previously published results. Their effects are
quantified by analyzing the compatibility of the simulated electron
backscattering fraction with a large collection of experimental data for a wide
set of physics configuration options available in Geant4. Special emphasis is
placed on two electron scattering implementations first released in Geant4
version 10.2: the Goudsmit-Saunderson multiple scattering model and a single
Coulomb scattering model based on Mott cross section calculation. The new
Goudsmit-Saunderson multiple scattering model appears to perform equally or
less accurately than the model implemented in previous Geant4 versions,
depending on the electron energy. The new Coulomb scattering model was flawed
from a physics point of view, but computationally fast in Geant4 version 10.2;
the physics correction released in Geant4 version 10.2p01 severely degrades its
computational performance. Evolutions in the Geant4 geometry domain have
addressed physics problems observed in electron backscattering simulation in
previous publications.Comment: To be published in IEEE Trans. Nucl. Sc
Reliability of Calculation of Dynamic Modulus for Asphalt Mixtures Using Different Master Curve Models and Shift Factor Equations
To develop a mechanistic-empirical pavement design system for Norwegian conditions, this paper evaluates the influence of the adoption of different models and shifting techniques on the determination of dynamic modulus master curves of asphalt mixtures. Two asphalt mixture types commonly used in Norway, namely Asphalt Concrete (AC) and Stone Mastic Asphalt (SMA) containing neat bitumen and polymer-modified bitumen, were prepared by the roller compactor, and their dynamic moduli were determined by the cyclic indirect tensile test. The dynamic modulus master curves were constructed using the standard logistic sigmoidal model, a generalized logistic sigmoidal model and the Christensen–Anderson–Marasteanu model. The shifting techniques consisted of log-linear, quadratic polynomial function, Arrhenius, William–Landel–Ferry and Kaelble methods. The absolute error, normalised square error and goodness-of-fit statistics encompassing standard error ratio and coefficient of determination were used to appraise the models and shifting methods. The results showed that the standard logistic sigmoidal model and the Williams–Landel–Ferry equation had the most suitable fits for the specimens tested. The asphalt mixtures containing neat bitumen had a better fit than the ones containing polymer-modified bitumen. The Kaelble equation and log-linear equation led to similar results. These findings provide a relevant recommendation for the mechanistic-empirical pavement design system.publishedVersio
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