GENETIC ALGORITM ECLIPSE MAPPING

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 parame...

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Main Author: A. V. Halevin
Format: Article
Language:English
Published: Odessa I. I. Mechnykov National University 2007-12-01
Series:Odessa Astronomical Publications
Online Access:http://oap.onu.edu.ua/article/view/87033
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spelling doaj-c904258c1ad04cde8420a59d6126cf3e2020-11-25T03:09:14ZengOdessa I. I. Mechnykov National UniversityOdessa Astronomical Publications1810-42152007-12-01201707310.18524/1810-4215.2007.20.8703387033GENETIC ALGORITM ECLIPSE MAPPINGA. V. Halevin0Department of Astronomy, Odessa National University T.G.Shevchenko Park, Odessa 65014 UkraineIn 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.http://oap.onu.edu.ua/article/view/87033
collection DOAJ
language English
format Article
sources DOAJ
author A. V. Halevin
spellingShingle A. V. Halevin
GENETIC ALGORITM ECLIPSE MAPPING
Odessa Astronomical Publications
author_facet A. V. Halevin
author_sort A. V. Halevin
title GENETIC ALGORITM ECLIPSE MAPPING
title_short GENETIC ALGORITM ECLIPSE MAPPING
title_full GENETIC ALGORITM ECLIPSE MAPPING
title_fullStr GENETIC ALGORITM ECLIPSE MAPPING
title_full_unstemmed GENETIC ALGORITM ECLIPSE MAPPING
title_sort genetic algoritm eclipse mapping
publisher Odessa I. I. Mechnykov National University
series Odessa Astronomical Publications
issn 1810-4215
publishDate 2007-12-01
description 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.
url http://oap.onu.edu.ua/article/view/87033
work_keys_str_mv AT avhalevin geneticalgoritmeclipsemapping
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