Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations
Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations
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DOI：
10.1046/j.1365-8711.2003.06541.x
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发表时间：
2003-02
影响因子：
4.8
通讯作者：
M. Cappellari;Y. Copin
中科院分区：
文献类型：
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作者：
M. Cappellari;Y. Copin
我们提出了新技术来执行积分场光谱（IFS）数据的自适应空间分档，以达到每个分档选定的恒定信噪比。这些方法是正确分析 IFS 观测结果所必需的，但也可用于标准光度图像或任何其他二维数据。通过从全景 IFS SAURON 获得的光谱中分箱和提取 Sa 星系 NGC 2273 的恒星运动学，对各种方案进行了测试和比较。
We present new techniques to perform adaptive spatial binning of integral-field spectroscopic (IFS) data to reach a chosen constant signal-to-noise ratio per bin. These methods are required for the proper analysis of IFS observations, but can also be used for standard photometric imagery or any other two-dimensional data. Various schemes are tested and compared by binning and extracting the stellar kinematics of the Sa galaxy NGC 2273 from spectra obtained with the panoramic IFS SAURON.