An evolutionary strategy for Δ E − E identification. (11th September 2017)

• Record Type: Journal Article
• Authors: Schmidt, K.; Wyszyński, O.
• Is Part Of: Journal of instrumentation. Volume 12:Number 9(2017:Sep.)
• Page Start: P09007
• Page End: P09007
• Publication Date: 2017-09-11
• Subjects: Instrumentation and methods for heavy-ion reactions and fission studies -- Particle identification methods -- Pattern recognition, cluster finding, calibration and fitting methods; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/12/09/P09007
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: In this article we present a proof of concept of using an evolutionary strategy in Δ E − E identification procedure on simulated data. The algorithm combines a generative model of Δ E − E relation and a Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES). The CMA-ES is a stochastic and derivative-free method employed to search parameter space of the model by means of a fitness function. The article describes details of the method along with results of an application on simulated labeled data.