by C. Pascual-Izarra and G. García
Abstract:
A data analysis method has been developed which allows to extract stopping force curves (a.k.a. stopping powers) from standard experimental backscattering spectra. The method is based on the simultaneous fit of a set of spectra, varying a parameterized stopping force curve. An initial fitting is achieved by means of a simulated annealing algorithm and then the method relies on a Bayesian inference algorithm that allows to obtain the uncertainties associated with the resulting stopping force curves. In order to avoid difficulties with the simulation of the experiments, a data reduction is performed on the spectra which makes simulation nearly trivial at the cost of a minor loss of information. This method, which has been implemented in an open source code named Hotstop, can be applied to light and heavy ions (pulse-height defect corrections and non-linear calibration are used), as well as to mono-elemental or compound targets.
Reference:
C. Pascual-Izarra and G. García, “Simulated annealing and Bayesian inference applied to experimental stopping force determination”, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol. 228, no. 1, pp. 388–391.
Bibtex Entry:
@article{pascual-izarra_simulated_2005,
series = {Proceedings of the {Seventh} {International} {Conference} on {Computer} {Simulation} of {Radiation} {Effects} in {Solids}},
title = {Simulated annealing and {Bayesian} inference applied to experimental stopping force determination},
volume = {228},
issn = {0168-583X},
url = {http://www.sciencedirect.com/science/article/pii/S0168583X04011371},
doi = {10.1016/j.nimb.2004.10.076},
abstract = {A data analysis method has been developed which allows to extract stopping force curves (a.k.a. stopping powers) from standard experimental backscattering spectra. The method is based on the simultaneous fit of a set of spectra, varying a parameterized stopping force curve. An initial fitting is achieved by means of a simulated annealing algorithm and then the method relies on a Bayesian inference algorithm that allows to obtain the uncertainties associated with the resulting stopping force curves. In order to avoid difficulties with the simulation of the experiments, a data reduction is performed on the spectra which makes simulation nearly trivial at the cost of a minor loss of information. This method, which has been implemented in an open source code named Hotstop, can be applied to light and heavy ions (pulse-height defect corrections and non-linear calibration are used), as well as to mono-elemental or compound targets.},
number = {1},
urldate = {2017-11-20},
journal = {Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms},
author = {Pascual-Izarra, C. and García, G.},
month = jan,
year = {2005},
keywords = {RBS, Bayesian inference, Rutherford backscattering, Stopping force, Stopping power, Hotstop, Monte carlo, Simulated annealing},
pages = {388--391},
file = {ScienceDirect Full Text PDF:E:\cmam_papers\files\1572\Pascual-Izarra and García - 2005 - Simulated annealing and Bayesian inference applied.pdf:application/pdf;ScienceDirect Full Text PDF:E:\Usuarios\Administrator\Zotero\storage\ZVT3828G\Pascual-Izarra and García - 2005 - Simulated annealing and Bayesian inference applied.pdf:application/pdf;ScienceDirect Snapshot:E:\cmam_papers\files\1571\S0168583X04011371.html:text/html;ScienceDirect Snapshot:E:\Usuarios\Administrator\Zotero\storage\HNDM5UJI\S0168583X04011371.html:text/html},
}