Iterative optimisation of Monte Carlo detector models using measurements and simulations

作者：Marzocchi O^*; Leone D

来源：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , 2015, 779: 47-51.

DOI：10.1016/j.nima.2015.01.049

• Monte Carlo
• Detector model
• Iterative method

This work proposes a new technique to optimise the Monte Carlo models of radiation detectors, offering the advantage of a significantly lower user effort and therefore an improved work efficiency compared to the prior techniques. The method consists of four steps, two of which are iterative and suitable for automation using scripting languages. The four steps consist in the acquisition in the laboratory of measurement data to be used as reference; the modification of a previously available detector model; the simulation of a tentative model or the detector to obtain the coefficients or a set of linear equations; the solution of the system of equations and the update of the detector model. Steps three and four can be repeated for more accurate results. This method avoids the "try and tail" approach typical of the prior techniques.

• 出版日期2015-4-11