Lockman Hole field is an area in the sky with an extremely low column density of neutral hydrogen on the line of sight (Lockman et al., 1986). This outstanding characteristic turns Lockman Hole into a perfect window to observe extragalactic sources. The SRG/eROSITA space telescope conducted a deep X-ray survey in this area during the performance verification phase in 2019.
My talk will be divided into two parts. In the first part, I will describe our approach to the cross-matching and classification of SRG/eROSITA sources. We developed a cross-match method to find optical counterparts of X-ray sources with a precision of about 94% for the whole field. This method benefits from the machine learning techniques we applied to account for the photometric information from optical and infrared catalogues. Then I will describe the classification algorithm we built to separate extragalactic eROSITA X-ray sources from Galactic.
The second part of the talk will be devoted to the study of spectral characteristics of sources detected by SRG/eROSITA in Lockman Hole. We selected obscured AGN candidates via direct analysis of their spectra. I will also mention some preliminary findings related to the search for soft X-ray sources in the Lockman Hole.
BIO
Mike Belvedersky, a researcher at the Space Research Institute, in Moscow, Russia and a 4th year PhD student at the National Research University “Higher School of Economics”, department of physics. His research was mainly focused on cross-matching and classification procedures of SRG/eROSITA X-ray sources in the Lockman Hole field, now moving to both hard (obscured AGNs) and soft X-ray sources related studies.
