标题： SDSS-V 银河系测绘者（MWM）：SDSS-V 数据发布 19 中的 ASPCAP 恒星参数和丰度 显示英文标题

标题： SDSS-V Milky Way Mapper (MWM): ASPCAP Stellar Parameters and Abundances in SDSS-V Data Release 19

摘要： 本文的目的是描述第五阶段斯隆数字天空调查（SDSS-V）数据发布19（DR19）中发布的银河系测绘者（MWM）APOGEE恒星参数和化学丰度管道（ASPCAP）数据产品的科学验证。 我们比较了MWM ASPCAP大气参数T$_{\rm eff}$，log g，21种元素（碳、氮和氧的丰度值有多个来源）的24个丰度及其从阿波罗点天文台银河系演化实验（APOGEE）光谱仪光谱中确定的不确定性与文献中的结果，并评估其准确性和精确度。 我们还测试了由APOGEE数据处理管道得出的v$_{\rm rad}$的零点校准。 此数据发布包含964,989颗恒星的ASPCAP参数，包括所有APOGEE-2目标，新增了截至2023年7月4日阿波罗点天文台观测的336,511颗恒星的观测数据。 总体而言，新的T$_{\rm eff}$值与IRFM尺度表现出良好的一致性，而表面重力与星震学重力相比显示出轻微的系统偏差。 T$_{\rm eff}$的估计精度对于巨星在50至70 K之间，对于矮星为70$-$100 K，而表面重力的测量精度为0.07$-$0.09 dex对于巨星。 我们对包括金属丰度、$\alpha$、Mg 和 Si 在内的多种元素实现了0.02$-$0.04 dex 的估计精度，而至少10种元素的精度优于0.1 dex。 显示英文摘要

摘要： The goal of this paper is to describe the science verification of Milky Way Mapper (MWM) APOGEE Stellar Parameter and Chemical Abundances Pipeline (ASPCAP) data products published in Data Release 19 (DR19) of the fifth phase of the Sloan Digital Sky Survey (SDSS-V). We compare MWM ASPCAP atmospheric parameters T$_{\rm eff}$, log g, 24 abundances of 21 elements (carbon, nitrogen, and oxygen have multiple sources for deriving their abundance values) and their uncertainties determined from Apache Point Observatory Galactic Evolution Experiment (APOGEE) spectrograph spectra with those of the literature and evaluate their accuracy and precision. We also test the zero-point calibration of the v$_{\rm rad}$ derived by the APOGEE Data Reduction Pipeline. This data release contains ASPCAP parameters for 964,989 stars, including all APOGEE-2 targets expanded with new observations of 336,511 stars from the Apache Point Observatory observed until 4 July 2023. Overall, the new T$_{\rm eff}$ values show excellent agreement with the IRFM scale, while the surface gravities exhibit slight systematic offsets compared to asteroseisimic gravities. The estimated precision of T$_{\rm eff}$ is between 50 and 70 K for giants and 70$-$100 K for dwarfs, while surface gravities are measured with a precision of 0.07$-$0.09 dex for giants. We achieve an estimated precision of 0.02$-$0.04 dex for multiple elements, including metallicity, $\alpha$, Mg, and Si, while the precision of at least 10 elements is better than 0.1 dex.