The stellar content of the ROSAT all-sky survey
S. Freund, S. Czesla, J. Robrade, P. C. Schneider, J. H. M. M. Schmitt

TL;DR
This paper develops a method to identify and analyze the stellar content of the ROSAT all-sky survey, resulting in the largest catalog of stellar X-ray sources with detailed properties and distribution insights.
Contribution
The authors introduce a novel crossmatching and probability estimation technique to identify stellar sources in RASS, achieving high completeness and reliability, and providing detailed stellar population analysis.
Findings
Identified 28,630 stellar X-ray sources, the largest such sample to date.
Confirmed the correlation between stellar properties and X-ray emission, including activity saturation.
Revealed spatial distribution of stellar sources, highlighting associations with stellar clusters.
Abstract
We present and apply a method to identify the stellar content of the ROSAT all-sky survey (RASS). We performed a crossmatch between the RASS sources and stellar candidates selected from Gaia Early Data Release 3 (EDR3) and estimated stellar probabilities for every RASS source from the geometric properties of the match and additional properties, namely the X-ray to G-band flux ratio and the counterpart distances. A comparison with preliminary detections from the first eROSITA all-sky survey (eRASS1) show that the positional offsets of the RASS sources are larger than expected from the uncertainties given in the RASS catalog. From the RASS sources with reliable positional uncertainties, we identify 28630 (24.9 %) sources as stellar; this is the largest sample of stellar X-ray sources to date. Directly from the stellar probabilities, we estimate the completeness and reliability of the…
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