论文标题

KORG:现代的1D LTE光谱合成软件包

Korg: a modern 1D LTE spectral synthesis package

论文作者

Wheeler, Adam J., Abruzzo, Matthew W., Casey, Andrew R., Ness, Melissa K.

论文摘要

我们提出了Korg,这是一种用于FGK星的1D LTE(局部热力学平衡)光谱合成的新软件包,该光谱合成了FGK恒星,该光谱将理论光谱从近硫酸酯计算为近乎边缘,并同时实现了平面平行和球形辐射转移。我们概述了Korg的输入和内部,并比较了Korg,Moog,Turbospectrum和SME的合成光谱。尽管代码之间的分歧是很大的,但KORG与其他代码之间的分歧并不大于其他代码之间的分歧。我们详细研究了c $ _2 $频段的情况,发现对频谱合成的物理输入的不确定性占了分歧的很大一部分。 Korg在典型使用中的速度比其他代码快1-100倍,与自动分化库兼容,并且易于扩展,这是适用于大型数据集的统计推断和参数估计的理想选择。文档和安装说明可在https://ajwheeler.github.io/korg.jl/stable/上找到。

We present Korg, a new package for 1D LTE (local thermodynamic equilibrium) spectral synthesis of FGK stars, which computes theoretical spectra from the near-ultraviolet to the near-infrared, and implements both plane-parallel and spherical radiative transfer. We outline the inputs and internals of Korg, and compare synthetic spectra from Korg, MOOG, Turbospectrum, and SME. The disagreements between Korg and the other codes are no larger than those between the other codes, although disagreement between codes is substantial. We examine the case of a C$_2$ band in detail, finding that uncertainties on physical inputs to spectral synthesis account for a significant fraction of the disagreement. Korg is 1-100 times faster than other codes in typical use, compatible with automatic differentiation libraries, and easily extensible, making it ideal for statistical inference and parameter estimation applied to large data sets. Documentation and installation instructions are available at https://ajwheeler.github.io/Korg.jl/stable/.

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