eROSITA (eRASS1) study of the Canis Major overdensity: Developing a multi-wavelength algorithm for classifying faint X-ray sources
Sara Saeedi, Manami Sasaki, Jonathan Knies, Jan Robrade, Theresa, Heindl, Aafia Zainab, Steven H\"ammerich, Martin Reh, Joern Wilms

TL;DR
This study uses eROSITA X-ray data to classify faint sources in the Canis Major overdensity, developing a multi-wavelength algorithm that distinguishes between Galactic and extragalactic objects, revealing diverse stellar populations and potential members of the overdensity.
Contribution
The paper introduces a novel multi-wavelength classification algorithm for faint X-ray sources in dense regions, applied to the first eROSITA survey of the Canis Major overdensity.
Findings
Classified over 8,000 X-ray sources into Galactic and extragalactic categories.
Identified 34 symbiotic star candidates and M-giant counterparts in CMa OD.
Detected potential members of CMa OD, including X-ray binaries and quiescent sources.
Abstract
Using the data of eROSITA (extended Roentgen Survey with an Imaging Telescope Array) on board Spektrum-Roentgen-Gamma (Spektr-RG, SRG) taken during the first eROSITA all-sky survey (eRASS1), we perform the first X-ray classification and population study in the field of Canis Major overdensity (CMa OD), which is an elliptical-shaped stellar overdensity located at l = -240, b = -80. The study aims to identify the X-ray sources in CMa OD. For this purpose, we developed a classification algorithm using multi-wavelength criteria as a preliminary method for the classification of faint X-ray sources, specifically in regions with a high source number density. Out of a total number of 8311 X-ray sources, we have classified 1029 sources as Galactic stars and binaries in the foreground, 946 sources as active galactic nuclei (AGN) and galaxies in the background, and 435 sources with stellar…
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