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year 28, Issue 2 (ICOP & ICPET 2022 2022)
ICOP & ICPET _ INPC _ ICOFS 2022, 28(2): 56-59 |
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Bakhtiar Shohani J, Hajimahmoodzadeh M, fallah H. Usage of machine learning to recognition the double star systems in turbulent atmosphere. ICOP & ICPET _ INPC _ ICOFS 2022; 28 (2) :56-59
URL: http://opsi.ir/article-1-2681-en.html
URL: http://opsi.ir/article-1-2681-en.html
Abstract: (485 Views)
In this paper we investigate usage of machine learning in detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with certain aperture is simulated. In this work, two kinds of intensity are used, one is in-focus and the other is out-of-focus of the telescope. After these simulations, a convolutional neural network is configured and designed which its input are simulated intensity patterns. After learning the network, we could recognize double stars at severe turbulence without using adaptive optics with a very high level of accuracy which was more than 98%.
Keywords: Aberration, Turbulent atmosphere, Double stars, Convolutional Neural Network, Machine learning
Type of Study: Experimental |
Subject:
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