capivara: a spectral-based segmentation method for IFU data cubes

doi:10.1093/mnras/staf688

2025-04-26

DOI：10.1093/mnras/staf688

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我们介绍capivara，一个快速且可扩展的基于光谱的分割包，旨在研究星系不同结构组成部分中的天体物理性质。该光谱分割代码针对积分视场单元（IFU）数据，提供了星系结构的整体视图，超越了传统的径向梯度和核心-盘两分法。它能够实现各组成部分之间恒星年龄和金属丰度的详细比较，并通过根据主导光谱特征对光谱像素（spaxels）进行分组，自然地识别异常值。该算法利用Torch的可扩展性和GPU加速，输出一个带有掩膜的FITS文件，将每个像素分配到其对应的组别，并为每组生成相应的一维光谱，无需依赖Voronoi分组。我们使用MaNGA星系样本演示了该方法的能力，结合capivara分割与starlight光谱拟合代码，推导恒星群体和电离气体性质。该方法有效识别了连续谱和发射线中具有相似光谱特性的区域。通过聚合这些区域的光谱，我们在增强分析信噪比的同时，保留了各组内的光谱一致性。capivara以MIT许可证发布，可在(sic)获取。

Keyword:

methods: data analysis

galaxies: evolution

galaxies: structure

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Monthly Notices of the Royal Astronomical Society

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