Algorithms for classification of astronomical object spectra

P. Wasiewicz; J. Szuppe; K. Hryniewicz

doi:10.1117/12.2205888

11 September 2015 Algorithms for classification of astronomical object spectra

P. Wasiewicz, J. Szuppe, K. Hryniewicz

Proceedings Volume 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015; 966218 (2015) https://doi.org/10.1117/12.2205888
Event: XXXVI Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (Wilga 2015), 2015, Wilga, Poland

Abstract

Obtaining interesting celestial objects from tens of thousands or even millions of recorded optical-ultraviolet spectra depends not only on the data quality but also on the accuracy of spectra decomposition. Additionally rapidly growing data volumes demands higher computing power and/or more efficient algorithms implementations. In this paper we speed up the process of substracting iron transitions and fitting Gaussian functions to emission peaks utilising C++ and OpenCL methods together with the NOSQL database. In this paper we implemented typical astronomical methods of detecting peaks in comparison to our previous hybrid methods implemented with CUDA.

Citation Download Citation

P. Wasiewicz, J. Szuppe, and K. Hryniewicz "Algorithms for classification of astronomical object spectra", Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 966218 (11 September 2015); https://doi.org/10.1117/12.2205888

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