Single star SCIDAR: Atmospheric parameters profiling using the power spectrum of scintillation

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
Y. Errazzouki , A. Habib , A. Jabiri , M. Sabil , Z. Benkhaldoun , Y. El Azhari , O. Azagrouze , J. Chafi
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引用次数: 0

Abstract

Optical parameters of atmospheric turbulence have a significant impact on high angular resolution, adaptive optics, and site testing. The single star SCIDAR technique provides vertical profiles of these parameters, including the refractive index structure constant Cn2(h). Its is based on the analysis of single stars scintillation. This study introduces a new approach for real-time measurement of atmospheric parameters using the Single Star SCIDAR. The key element of this approach is the utilization of a modified power spectrum of atmospheric speckles, that have more significant variation with altitude. By using that modified power spectrum, an objective function is computed, and the minimization process is performed using the Active-Set algorithm. With this approach, we successfully obtained real-time vertical profiles of Cn2(h) with good accuracy. The processing takes approximately 3 s per profile, and the recovery rate (i.e. sum of Cn2(h)) is about 95%. The reliability of this approach is validated through simulation results and a comparison with data obtained from sounding balloons. These validations confirm the accuracy and credibility of this method, which can be useful in many practical applications.

单星 SCIDAR:利用闪烁功率谱分析大气参数
大气湍流的光学参数对高角分辨率、自适应光学和站点测试有重大影响。单星 SCIDAR 技术可提供这些参数的垂直剖面图,包括折射率结构常数 Cn2(h)。该技术基于对单星闪烁的分析。本研究介绍了一种利用单星 SCIDAR 实时测量大气参数的新方法。这种方法的关键要素是利用大气斑点的修正功率谱,这种斑点随高度的变化更为显著。通过使用修改后的功率谱,计算出目标函数,并使用主动集算法执行最小化过程。通过这种方法,我们成功地获得了精度较高的 Cn2(h) 实时垂直剖面图。每个剖面的处理时间约为 3 秒,恢复率(即 Cn2(h) 的总和)约为 95%。通过模拟结果以及与探空气球获得的数据进行比较,验证了这种方法的可靠性。这些验证证实了这一方法的准确性和可信度,可以在许多实际应用中发挥作用。
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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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