Integration of the differential evolution algorithm and the Monte Carlo code to create a spectrometric detector model

Abstract A standard procedure for characterizing the high-purity germanium detector (HPGe), manufactured by Canberra Industries Inc [1], is performed directly company using patented methods. However, usually expensive and must be repeated because characteristics of HPGe crystal change over time. In this work, principles a technique are developed use in obtaining optimizing based on cost-effective research laboratory. The requires that geometric parameters determined with maximum accuracy Monte Carlo method [2] parallel optimization evolutionary algorithms. development approach facilitates modeling as standardized procedure. results will also beneficial gamma spectrometers and/or their calibrations before routine measurements.