Kurtz MJ, Mink DJ
Astrophys J. 2000 Apr 20;533(2):L183-L186. doi: 10.1086/312620.
We develop a new method for estimating and removing the spectrum of the sky from deep spectroscopic observations. Our method does not rely on simultaneous measurement of the sky spectrum with the object spectrum. The technique is based on the iterative subtraction of continuum estimates and eigenvector sky models derived from singular value decompositions of sky spectra and sky spectra residuals. Using simulated data derived from small-telescope observations, we demonstrate that the method is effective for faint objects on large telescopes. We discuss simple methods to combine our new technique with the simultaneous measurement of sky to obtain sky subtraction very near the Poisson limit.
我们开发了一种新方法，用于从深度光谱观测中估计并去除天空光谱。我们的方法不依赖于同时测量天空光谱和目标光谱。该技术基于对连续谱估计值以及从天空光谱和天空光谱残差的奇异值分解中导出的特征向量天空模型进行迭代减法运算。利用从小型望远镜观测中获得的模拟数据，我们证明了该方法对大型望远镜上的暗弱目标有效。我们讨论了将我们的新技术与天空的同时测量相结合的简单方法，以在非常接近泊松极限的情况下实现天空扣除。
