Dataset Open Outputs from Gaia Net for Gaia XP and Gaia RVS spectra

This repository contains the tables from the paper "Gaia Net: Towards robust spectroscopic parameters of stars of all evolutionary stages" by Hydson et al. (2025, ApJ) We present a new processing of XP spectra for 220 million stars released in Gaia DR3. The new data model is capable of handling objects with Teff between 2000 and 50,000 K, and with log g between 0 and 10, including objects of multitude of masses and evolutionary stages. This includes for the first time ever robust processing of spectroscopic parameters for pre-main sequence stars, with log g sensitivity towards their age. Through this analysis we examine the distribution of young low mass stars with ages of up to 20 Myr in the solar neighborhood, and we identify a new massive (>1000 stars) population, Ophion, which is found east of Sco Cen. This population appears to be fully disrupted, with negligible kinematic coherence. Nonetheless, due its young age it appears to still persist as a spacial overdensity. Through improved determination of ages of the nearby stars, it may be possible to better recover star forming history of the solar neighborhood outside of the moving groups. One of the tables in the repository are the spectroscopic parameters derived from Gaia XP spectra, the other - from Gaia RVS spectra. Both tables have the same data structure, see below for an example. source_id ra dec logTeff e_logTeff logg e_logg FeH e_FeH 4295806720 44.99615537864534 0.005615226341865997 3.740103 0.0057907104 4.497857 0.011642456 -0.8710861 0.09863281 38655544960 45.004978371745516 0.019879675701858644 3.6812372 0.0014762878 4.520626 0.023925781 -0.12406255 0.06124878 1275606125952 44.993270784169155 0.07633404499591856 3.718066 0.007709503 4.3352485 0.118774414 -0.30459395 0.119018555 Parquet table format has been integrated into standard software and libraries for table management, including TOPCAT, as well as Astropy tables and Pandas, e.g., from astropy.table import Tablet=Table.read('filename.parquet') or import pandas as pddf=pd.read_parquet('filename.parquet') The tables are also duplicated in the AAS MRT format with truncated decimal precision for greater compression.本仓库收录了Hudson等人于2025年发表在《天体物理学杂志》(Astrophysical Journal, ApJ)的论文《Gaia Net：面向所有演化阶段恒星的稳健光谱参数》中的表格数据。 我们对盖亚数据发布3（Gaia Data Release 3, Gaia DR3）中公布的2.2亿颗恒星的XP光谱（XP spectra）开展了全新处理。新的数据模型可覆盖有效温度（Teff）介于2000~50000开尔文、表面重力对数（log g）介于0~10的天体，涵盖多种质量与演化阶段的恒星，其中首次实现了对前主序星（pre-main sequence stars）光谱参数的稳健测定，其表面重力对数与恒星年龄具有显著相关性。通过本次分析，我们对太阳邻域内年龄不超过20百万年的年轻低质量恒星的分布展开了研究，识别出一个位于天蝎-半人马座（Sco Cen）东侧的新大质量星族——Ophion，该星族包含超过1000颗恒星。该星族似乎已完全瓦解，运动学相干性可忽略不计，但凭借其极年轻的年龄，仍以空间过密结构（spatial overdensity）的形式留存。通过更精准地测定邻近恒星的年龄，我们有望更好地还原移动星群（moving groups）之外的太阳邻域恒星形成历史。 本仓库中的表格分为两类：一类为通过盖亚XP光谱推导得到的光谱参数，另一类为通过盖亚RVS光谱（RVS spectra）推导得到的光谱参数。两类表格的数据结构完全一致，示例如下： source_id（源标识）、ra（赤经）、dec（赤纬）、logTeff（有效温度对数）、e_logTeff（有效温度对数的测量误差）、logg（表面重力对数）、e_logg（表面重力对数的测量误差）、FeH（金属丰度）、e_FeH（金属丰度的测量误差） 4295806720 44.99615537864534 0.005615226341865997 3.740103 0.0057907104 4.497857 0.011642456 -0.8710861 0.09863281 38655544960 45.004978371745516 0.019879675701858644 3.6812372 0.0014762878 4.520626 0.023925781 -0.12406255 0.06124878 1275606125952 44.993270784169155 0.07633404499591855 3.718066 0.007709503 4.3352485 0.118774414 -0.30459395 0.119018555 帕奎特（Parquet）表格格式已集成于主流表格管理软件与库中，包括TOPCAT、Astropy表格库以及Pandas，例如： from astropy.table import Table t=Table.read('filename.parquet') 或 import pandas as pddf=pd.read_parquet('filename.parquet') 此外，这些表格还提供了AAS MRT格式的副本，为提升压缩率，其小数精度已做截断处理。