光谱波长优化程序（SWOC）
A new algorithm for optimizing the wavelength coverage for spectroscopic studies: Spectral Wavelength Optimization Code (SWOC)
摘要：
在过去的十五年中，我们设计并执行了几次地面光谱测量，包括银河系和银河系外的。此外，正在设计新的调查，以扩大目前调查的范围。在这种情况下，在设计未来的摄谱仪时必须考虑许多重要的因素。其中之一是最佳波长覆盖范围的确定。在这项工作中，我们提出了一个新的代码，用于确定波长范围，提供最佳的信息量，以实现所需的科学目标，为一个给定的调查。在第一种模式下，它利用用户定义的光谱特征列表来计算不同光谱配置的品质因数。第二种模式利用一组通量校准的光谱，确定光谱中差异最大的光谱区域。我们的算法很容易适应任何科学要求和任何光谱仪设计。我们应用该算法的几个例子，包括4MOST，显示该方法产生重要的设计约束的波长区域。
英文摘要：
The past decade and a half has seen the design and execution of several ground-based spectroscopic surveys, both Galactic and Extra-galactic. Additionally, new surveys are being designed that extend the boundaries of current surveys. In this context, many important considerations must be done when designing a spectrograph for the future. Among these is the determination of the optimum wavelength coverage. In this work, we present a new code for determining the wavelength ranges that provide the optimal amount of information to achieve the required science goals for a given survey. In its first mode, it utilizes a user-defined list of spectral features to compute a figure-of-merit for different spectral configurations. The second mode utilizes a set of flux-calibrated spectra, determining the spectral regions that show the largest differences among the spectra. Our algorithm is easily adaptable for any set of science requirements and any spectrograph design. We apply the algorithm to several examples, including 4MOST, showing the method yields important design constraints to the wavelength regions.
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