论文标题
SRGZ：使用Lockman Hole Data为X射线SRG/EROSITA源建立光学交叉匹配模型
SRGz: building an optical cross-match model for the X-ray SRG/eROSITA sources using the Lockman Hole data
论文作者
论文摘要
我们提出了一个概率模型，该模型是为SRG/EROSITA X射线源与来自DESI传统成像调查的光度数据之间的光学交叉匹配而构建的。该模型依赖于附近X射线源的光学对象的位置和光度信息，并允许精确地进行选择，并回忆$ \ \ \ of of of 94 $％（对于$ f _ {\ rm x，0.5-2}，0.5-2}> 10^{ - 14} $ erg/s/s/s/s/cm $ $^2 $）。使用此模型，我们校准了Lockman孔中检测到的SRG/EROSITA源的位置误差：$σ_{\ rm corr} = 0.87 \ sqrt {σ_{\ rm det}^{\ rm det}^{2.53} {2.53} + 1.12^2} $。该模型将成为SRGZ系统的一部分，用于数据分析从All Sky SRG/Erosita调查中获得的X射线数据。
We present a probabilistic model built for the optical cross-match between the SRG/eROSITA X-ray sources and photometric data from the DESI Legacy Imaging Surveys. The model relies both on positional and photometric information on optical objects nearby X-ray sources and allows performing selection with precision and recall $\approx94$% (for $F_{\rm X,0.5-2}>10^{-14}$ erg/s/cm$^2$). With this model, we calibrated positional error of the SRG/eROSITA sources detected in the Lockman Hole: $σ_{\rm corr} = 0.87\sqrt{ σ_{\rm det}^{2.53} + 1.12^2}$. The model will become a part of the SRGz system for data analysis of the X-ray data obtained from the all-sky SRG/eROSITA survey.
