Integrated spectra extraction based on signal-to-noise optimization using integral field spectroscopy
Integrated spectra extraction based on signal-to-noise optimization using integral field spectroscopy
复制标题
使用积分场光谱进行基于信噪比优化的积分光谱提取
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
L. Colina
中科院分区：
文献类型：
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作者：
F. Rosales;S. Arribas;L. Colina
目标。我们探讨了一种方法来提取高信号噪声（S/N）集成光谱的特定的物理和/或形态区域的二维字段使用积分场光谱（IFS）的观测通过应用基于连续（恒星）或线（星云）发射功能的优化程序的潜力。方法.最后将该方法应用于一组（U）LIRG星系的IFS VLT-VIMOS观测。我们描述了优化的优点，通过比较结果与固定孔径，单光谱的情况下，并通过实施一些统计测试。结果我们证明了IFS优化的集成光谱的S/N显着高于单孔径未处理的情况下。在某些情况下，基于发射谱线的优化允许比标准积分方法更可靠地表征一些源特性。我们能够清楚地检索弱连续特征，从而更精确地约束未解决的恒星种群的属性。最合适的方法整合光谱（部分）的视野最终取决于科学的情况下，并可能涉及权衡不同的变量（如S/N，探头面积，空间分辨率等）。因此，我们提供了一种迭代的用户友好的和通用的IDL算法，除了上述方法之外，该算法允许用户按照更标准的程序对光谱进行空间积分。我们的程序作为PINGSoft IFS软件包的一部分提供给社区。
Aims. We explore the potential of a method to extract high signal-to-noise (S/N) integrated spectra of particular physical and/or morphological regions of a two-dimensional field using integral field spectroscopy (IFS) observations by applying an optimization procedure based on either continuum (stellar) or line (nebular) emission features. Methods. The optimization method is applied to a set of IFS VLT-VIMOS observations of (U)LIRG galaxies. We describe the advantages of the optimization by comparing the results with a fixed-aperture, single-spectrum case, and by implementing some statistical tests. Results. We demonstrate that the S/N of the IFS optimized integrated spectra is significantly higher than for the single-aperture unprocessed case. In some cases, the optimization based on the emission lines allows to characterize some of the source properties more reliably than with standard integration methods. We are able to clearly retrieve the weak continuum features, hence more precisely constrain the properties of the unresolved stellar population. The most suitable method for integrating spectra over (part of) the field-of-view ultimately depends on the science case, and may involve a trade off among the different variables (e.g. S/N, probe area, spatial resolution, etc.). we therefore provide an iterative user-friendly and versatile IDL algorithm that, in addition to the above-mentioned method, allows the user to spatially integrate spectra following more standard procedures. Our procedure is made available to the community as part of the PINGSoft IFS software package.