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Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument

机译:检测高光谱数据中的天体物理源。 应用于缪斯文书

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We review several detection strategies that account for the possible sparsity of target sources in data cubes. The considered sparsity can exist in the data acquisition space, or in some transform domain. Theoretical aspects of the detection tests are first described. Emphasis is then put on practical issues that may arise in hyperspectral data, such as spatio-spectral dependencies or very low Signal-to-Noise Ratios. Applications are finally described in the framework of the hyperspectral data of MUSE (Multi-Unit Spectroscopic Explorer) instrument. MUSE is a powerful integral field spectrograph whose observational abilities should provide unprecedented insights about the formation and evolution of galaxies.
机译:我们审查了若干检测策略,该策略占数据多维数据集中目标来源的可能稀疏性。 被认为的稀疏性可以存在于数据采集空间中,或者在某些变换域中存在。 首先描述检测测试的理论方面。 然后将重点放在高光谱数据中可能出现的实际问题,例如时空谱依赖性或非常低的信噪比。 最终在Muse(多单元光谱探险仪)仪器的高光谱数据的框架中描述了应用。 Muse是一个强大的积分场光谱仪,其观察能力应提供对星系的形成和演变的前所未有的见解。

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