论文标题
正确评估干涉图像中空间相关的噪声
Proper evaluation of spatially correlated noise in interferometric images
论文作者
论文摘要
最近的干涉仪（例如Alma和Noema）使我们能够在3维中获得天文源的详细亮度分布（R.A.，DEC，频率）。但是，由于有限的紫外线覆盖范围而引起的噪声的互相关相关性使得很难评估所测量量的统计不确定性以及所获得的结果的统计意义。噪声相关属性的特征是噪声自相关函数（ACF）。我们将介绍（1）直接从噪声ACF的空间集成通量和光谱中的相关噪声引起的统计不确定性的方法，以及（2）在图像分析中模拟相关噪声以执行蒙特卡洛模拟。我们的方法具有潜在的应用，不仅在干涉仪的一系列天文图像上，而且还具有单盘映射观察以及插值和重新采样的光学图像。
Recent interferometers (e.g. ALMA and NOEMA) allow us to obtain the detailed brightness distribution of the astronomical sources in 3 dimension (R.A., Dec., frequency). However, the interpixel correlation of the noise due to the limited uv coverage makes it difficult to evaluate the statistical uncertainty of the measured quantities and the statistical significance of the obtained results. The noise correlation properties are characterized by the noise autocorrelation function (ACF). We will present the method for (1) estimating the statistical uncertainty due to the correlated noise in the spatially integrated flux and spectra directly from the noise ACF and (2) simulating the correlated noise to perform a Monte Carlo simulation in image analyses. Our method has potential applications to a range of astronomical images of not only interferometers but also single dish mapping observation and interpolated and resampled optical images.
