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Evaluation of centroiding algorithm error for Nano-JASMINE

机译:Nano-JASMINE的质心算法错误评估

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The Nano-JASMINE mission has been designed to perform absolute astrometric measurements with unprecedented accuracy; the end-of-mission parallax standard error is required to be of the order of 3 milli arc seconds for stars brighter than 7.5 mag in the zw-band(0.6μm-1.0μm) .These requirements set a stringent constraint on the accuracy of the estimation of the location of the stellar image on the CCD for each observation. However each stellar images have individual shape depend on the spectral energy distribution of the star, the CCD properties, and the optics and its associated wave front errors. So it is necessity that the centroiding algorithm performs a high accuracy in any observables. Referring to the study of Gaia, we use LSF fitting method for centroiding algorithm, and investigate systematic error of the algorithm for Nano-JASMINE. Furthermore, we found to improve the algorithm by restricting sample LSF when we use a Principle Component Analysis. We show that centroiding algorithm error decrease after adapted the method.
机译:Nano-JASMINE任务旨在以前所未有的精度执行绝对天文测量;对于zw波段(0.6μm-1.0μm)内7.5 mag以上的恒星,任务结束视差标准误差必须在3毫弧秒量级。每次观察时对CCD上恒星图像位置的估计。但是,每个恒星图像的形状都取决于恒星的光谱能量分布,CCD特性,光学特性及其相关的波前误差。因此,有必要使质心算法在任何可观察范围内都具有较高的准确性。参照Gaia的研究,我们将LSF拟合方法用于质心算法,并研究了Nano-JASMINE算法的系统误差。此外,我们发现当使用主成分分析时,通过限制样本LSF可以改进算法。我们证明了采用该方法后,质心算法错误减少了。

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