Optimization of quasar parametrization using genetic algorithms

Piotr Wasiewicz; Krzysztof Hryniewicz

doi:10.1117/12.2535705

6 November 2019 Optimization of quasar parametrization using genetic algorithms

Piotr Wasiewicz, Krzysztof Hryniewicz

Proceedings Volume 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019; 1117637 (2019) https://doi.org/10.1117/12.2535705
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 2019, Wilga, Poland

Abstract

In this paper we extend features of our open source R package that will enable new modern research methodology for astronomers with data and algorithms deep analyses. Methods of Genetic Algorithms (GA) were added to this computational project made of nosql database and intelligent numerical algorithms searching for most extreme extragalactic objects. In future we accelerate GA with OpenCL and CUDA kernels just to enable opportunities for finding very rare astronomical objects or classifying and clustering the well known ones. The greater computational power, the better search and astronomical databases will be created, the more improvements can be introduced into parametrization algorithms for future massive surveys.

Citation Download Citation

Piotr Wasiewicz and Krzysztof Hryniewicz "Optimization of quasar parametrization using genetic algorithms", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117637 (6 November 2019); https://doi.org/10.1117/12.2535705

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