Method of Monte Carlo grid for data analysis

Abstract This paper presents an analysis procedure for experimental data using theoretical functions generated by Monte Carlo. Applying the classical χ 2 fitting procedure for multiparameter systems is in some cases 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.