标题： 地基和空间基础中红外观测的融合 显示英文标题

标题： Fusion between ground- and space-based mid-infrared observations

摘要： 中红外天文学（在波长范围从2到25$\mu$m之间运行）在过去几十年中取得了显著进展，这得益于探测器技术的改进和望远镜直径的增大。 空间天文台受益于大气吸收的缺失，使得能够达到进行三维高光谱观测所需的极高灵敏度，但望远镜的直径受到限制（$< 1$米），因此提供的观测角度分辨率较低（通常为几角秒）。 另一方面，地面设施受到强烈的大气吸收影响，但使用大口径望远镜（直径超过8米）通过中红外范围内的选定窗口进行亚角秒级角度分辨率成像。 在本文中，我们提出一种基于Lee和Seung的非负矩阵分解（NMF）的方法，将来自空间和地面中红外（中-IR）望远镜的数据合并，以结合最佳的灵敏度、光谱覆盖范围和角度分辨率。 我们证明了当应用于真实中-IR天文学数据时，该技术的有效性。 我们认为，只要数据的光谱多样性允许使用NMF分解为成分，这种方法可以应用于任何低和高空间分辨率正高光谱数据集的组合。 显示英文摘要

摘要： Mid-infrared astronomy (operating at wavelengths ranging from 2 to 25 $\mu$m) has progressed significantly in the last decades, thanks to the improvement of detector techniques and the growing diameter of telescopes. Space observatories benefit from the absence of atmospheric absorption, allowing to reach the very high sensitivities needed to perform 3D hyperspectral observations, but telescopes are limited in diameter ($< 1$ meter) and therefore provide observations at low angular resolution (typically a few seconds of arc). On the other hand, ground-based facilities suffer from strong atmospheric absorption but use large telescopes (above 8m diameter) to perform sub-arcsecond angular resolution imaging through selected windows in the mid-infrared range. In this Paper, we present a method based on Lee and Seung's Non-negative Matrix Factorization (NMF) to merge data from space and ground based mid-infrared (mid-IR) telescopes in order to combine the best sensitivity, spectral coverage and angular resolution. We prove the efficiency of this technique when applied to real mid-IR astronomical data. We suggest that this method can be applied to any combination of low and high spatial resolution positive hyperspectral datasets, as long as the spectral variety of the data allows decomposition into components using NMF.