Genetic algorithm eclipse mapping

TL;DR

This paper evaluates the effectiveness of using genetic algorithms for eclipse mapping of accretion disks, employing a 'fire-flies' model to efficiently reconstruct radiating medium distributions with fewer parameters.

Contribution

It introduces a novel application of genetic algorithms combined with a 'fire-flies' model for eclipse mapping, reducing the number of free parameters needed for accurate reconstruction.

Findings

Genetic algorithms effectively optimize eclipse mapping.

The 'fire-flies' model simplifies the accretion disk representation.

Good approximations achieved without extensive optimization.

Abstract

In this paper we analyse capabilities of eclipse mapping technique, based on genetic algorithm optimization. To model of accretion disk we used the "fire-flies" conception. This model allows us to reconstruct the distribution of radiating medium in the disk using less number of free parameters than in other methods. Test models show that we can achieve good approximation without optimizing techniques.