Method of Monte Carlo grid for data analysis
Nuclear Experiment
2010-12-16 v1
Abstract
This paper presents an analysis procedure for experimental data using theoretical functions generated by Monte Carlo. Applying the classical chi-square fitting procedure for some multiparameter systems is extremely difficult due to a lack of an analytical expression for the theoretical functions describing the system. The proposed algorithm is based on the least square method using a grid of Monte Carlo generated functions each corresponding to definite values of the minimization parameters. It is used for the E742 experiment (TRIUMF, Vancouver, Canada) data analysis with the aim to extract muonic atom scattering parameters on solid hydrogen.
Cite
@article{arxiv.nucl-ex/0412055,
title = {Method of Monte Carlo grid for data analysis},
author = {M. Filipowicz and V. M. Bystritsky and P. E. Knowles and F. Mulhauser and J. Wozniak},
journal= {arXiv preprint arXiv:nucl-ex/0412055},
year = {2010}
}
Comments
16 pages, 10 figures, submitted to NIM