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arxiv: 1705.08380 · v2 · pith:A2FV3EDRnew · submitted 2017-05-23 · ⚛️ physics.ins-det · cs.NE· nucl-ex

An evolutionary strategy for DeltaE - E identification

classification ⚛️ physics.ins-det cs.NEnucl-ex
keywords methodarticlecma-esdeltaeevolutionaryidentificationmodelstrategy
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In this article we present an automatic method for charge and mass identification of charged nuclear fragments produced in heavy ion collisions at intermediate energies. The algorithm combines a generative model of DeltaE - 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.

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