基于微分色折射的子带图像重建
Subband Image Reconstruction using Differential Chromatic Refraction
摘要：
大气层的折射使光源的位置取决于观测时所穿过的气团。这种偏移取决于光源的潜在光谱能量和通过其观察的滤波器或带通。单一通带内的波长相关折射通常被称为差分色折射（DCR）。随着新一代的天文巡天在不同的气团和视差角范围内对天空的同一部分进行重复观测，DCR应该是一种可探测和可测量的天体测量信号。在本文中，我们介绍了一种新的程序，采取这种天体测量信号，并使用它来推断源的基本光谱能量分布，我们解决了多个潜在的图像在特定波长通过一个广义的反卷积程序建立在强大的统计。我们证明了这种方法的效用，估计部分去卷积的图像，在更高的光谱分辨率比输入图像，调查，如大型综合巡天望远镜（LSST）。
英文摘要：
Refraction by the atmosphere causes the positions of sources to depend on the airmass through which an observation was taken. This shift is dependent on the underlying spectral energy of the source and the filter or bandpass through which it is observed. Wavelength-dependent refraction within a single passband is often referred to as differential chromatic refraction (DCR). With a new generation of astronomical surveys undertaking repeated observations of the same part of the sky over a range of different airmasses and parallactic angles, DCR should be a detectable and measurable astrometric signal. In this paper we introduce a novel procedure that takes this astrometric signal and uses it to infer the underlying spectral energy distribution of a source; we solve for multiple latent images at specific wavelengths via a generalized deconvolution procedure built on robust statistics. We demonstrate the utility of such an approach for estimating a partially deconvolved image, at higher spectral resolution than the input images, for surveys such as the Large Synoptic Survey Telescope (LSST).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
