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A new algorithm for optimizing the wavelength coverage for spectroscopic studies:Spectral Wavelength Optimization Code (swoc)

机译:一种优化光谱研究波长覆盖率的新算法:光谱波长优化代码(swoc)

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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.
机译:在过去的十五年中,银河系和银河系外的几种地面光谱调查的设计和执行。此外,正在设计新的调查,以扩展当前调查的范围。在这种情况下,为将来设计光谱仪时必须做许多重要的考虑。其中包括确定最佳波长范围。在这项工作中,我们提供了一个用于确定波长范围的新代码,该代码可提供最佳信息量,以实现给定调查所需的科学目标。在其第一种模式下,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经过通量校正的光谱,确定在光谱之间显示出最大差异的光谱区域。我们的算法很容易适应任何一组科学要求和任何光谱仪设计。我们将该算法应用于包括4MOST在内的几个示例,表明该方法对波长区域产生了重要的设计约束。

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