超新星跟踪的4D反褶积和去混

2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing Pub Date : 2009-10-16 DOI:10.1109/WHISPERS.2009.5289034

S. Bongard, É. Thiébaut, F. Soulez, E. Pecontal

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引用次数: 0

摘要

我们提出了一种反问题方法，联合解决了观测超新星及其宿主星系在不同时期获得的4D (x, y， λ， t)天文数据的反卷积和解混问题。为了获得高光度质量的超新星光谱，我们特别注意避免由于视野尺寸非常有限而引起的解混偏差和反卷积伪影。在真实的仿真数据上验证了该方法的有效性。

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4D deconvolution and demixing for supernova follow-up

We present an inverse problem approach to jointly solve a problem of deconvolution and demixing of sources from 4D (x, y, λ, t) astronomical data obtained by observing a supernova and its host galaxy at different epochs. In order to obtain supernova spectra of high photometric quality, we take special care of avoiding demixing biases and deconvolution artifacts caused by the very limited size of the field of view. We assert the performances of our method on realistic simulated data.

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2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

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