SRGz：利用Lockman Hole数据建立X射线SRG/eROSITA源的光学交叉匹配模型
SRGz: building an optical cross-match model for the X-ray SRG/eROSITA sources using the Lockman Hole data
摘要：
我们提出了一个概率模型建立的SRG/eROSITA X射线源和光度数据之间的光学交叉匹配从DESI遗产成像调查。该模型依赖于X射线源附近光学对象的位置和光度信息，并允许执行具有精确度和召回率$\approx94$ %的选择（对于$F_{\rm X,0.5-2}>10^{-14}$ erg/s/cm $^2$）。利用该模型，对Lockman洞探测到的SRG/eROSITA源$σ_{\rm corr} = 0.87\sqrt{ σ_{\rm det}^{2.53} + 1.12^2}$进行了位置误差标定。该模型将成为SRGz系统的一部分，用于对从SRG/eROSITA全天空测量中获得的X射线数据进行数据分析。
英文摘要：
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.
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