We present a new library of semi-empirical stellar spectra that is based on the empirical Medium resolution Isaac Newton Library of Empirical Spectra (MILES) library. A new, high-resolution library of theoretical stellar spectra is generated that is specifically designed for use in stellar population studies. We test these models across their full wavelength range against other model libraries and find reasonable agreement in their predictions of spectral changes due to atmospheric α-element variations, known as differential corrections. We also test the models against the MILES and MaStar libraries of empirical stellar spectra and also find reasonable agreements, as expected from previous work. We then use the abundance pattern predictions of the new theoretical stellar spectra to differentially correct MILES spectra to create semi-empirical MILES (sMILES) star spectra with abundance patterns that differ from those present in the Milky Way. The final result is five families of 801 sMILES stars with [α/Fe] abundances ranging from −0.20 to 0.60 dex at MILES resolution (FWHM = $2.5\,$Å) and wavelength coverage ($3540.5\!-\!7409.6\,$Å). We make the sMILES library publicly available.

中文翻译：

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sMILES：具有可变 [α/Fe] 丰度的半经验 MILES 恒星光谱库

我们提出了一个新的半经验恒星光谱库，它基于经验中分辨率艾萨克牛顿经验光谱库 (MILES) 库。生成了一个新的高分辨率理论恒星光谱库，专门设计用于恒星种群研究。我们针对其他模型库在其全波长范围内测试这些模型，并在它们对由于大气 α 元素变化（称为差分校正）引起的光谱变化的预测中找到合理的一致性。我们还根据 MILES 和 MaStar 经验恒星光谱库测试模型，并找到合理的协议，正如之前工作所预期的那样。然后，我们使用新的理论恒星光谱的丰度模式预测来差分校正 MILES 光谱，以创建丰度模式不同于银河系中的丰度模式的半经验 MILES (sMILES) 恒星光谱。最终结果是在 MILES 分辨率 (FWHM = $2.5\,$Å) 和波长覆盖范围 ($3540.5\!-\!7409.6\,$一种）。我们公开了 sMILES 库。