标题： 100秒差距内的大气参数和化学丰度。 G型、K型和M型主序星样本 显示英文标题

标题： Atmospheric parameters and chemical abundances within 100 pc. A sample of G, K, and M main-sequence stars

摘要： 迄今为止，我们能够获取大量的恒星光谱库存，这些光谱使得提取大气参数和化学丰度成为可能，这对恒星研究至关重要。然而，表征如此庞大的数据集是复杂的，并且需要对所研究的对象有良好的理解，以确保结果可靠且一致。 在这项研究中，我们提出了一种方法，使用APOGEE-2红外光谱均匀地测量距离太阳100秒差距内的超过1600颗薄盘主序星的基本大气参数和详细的化学丰度。 我们使用代码tonalli来确定大气参数，并通过log g先验值进行校准。Tonalli中的log g先验值意味着对所处理群体的理解，并有助于找到物理上一致的答案。 我们的大气参数与ASPCAP和Gaia DR3的先前估算结果在典型不确定性范围内（Teff的100 K，log g的0.15 dex和$[M/H]$）一致。 我们使用这些温度确定了一条新的红外颜色-温度序列，该序列与之前的工作结果一致，可用于任何主序星。 此外，我们使用BACCHUS代码确定了样本中Mg、Al、Si、Ca和Fe的丰度。 所研究的这五种元素（Mg、Al、Si、Ca、Fe）的丰度分布以略微低于太阳值为中心，与太阳邻域的先前结果一致。 这里介绍的超过1600颗主序星的大气参数和化学丰度在太阳邻域的后续研究中非常有用，也可以作为数据驱动方法的训练集。 显示英文摘要

摘要： To date, we have access to enormous inventories of stellar spectra that allow the extraction of atmospheric parameters and chemical abundances essential in stellar studies. However, characterizing such a large amount of data is complex and requires a good understanding of the studied object to ensure reliable and homogeneous results. In this study, we present a methodology to measure homogenously the basic atmospheric parameters and detailed chemical abundances of over 1600 thin disk main-sequence stars in the 100 pc solar neighborhood, using APOGEE-2 infrared spectra. We employed the code tonalli to determine the atmospheric parameters using a prior on log g. The log g prior in tonalli implies an understanding of the treated population and helps to find physically coherent answers. Our atmospheric parameters agree within the typical uncertainties (100 K in Teff, 0.15 dex in log g and $[M/H]$) with previous estimations of ASPCAP and Gaia DR3. We use our temperatures to determine a new infrared color-temperature sequence, in good agreement with previous works, that can be used for any main-sequence star. Additionally, we used the BACCHUS code to determine the abundances of Mg, Al, Si, Ca, and Fe in our sample. The five elements (Mg, Al, Si, Ca, Fe) studied have an abundance distribution centered around slightly sub-solar values, in agreement with previous results for the solar neighborhood. The over 1600 main-sequence stars atmospheric parameters and chemical abundances presented here are useful in follow-up studies of the solar neighborhood or as a training set for data-driven methods.