Speaker
Description
The eROSITA all-sky survey (eRASS) largely increased the number of well-characterized X-ray detected stars.
I will present our method, called HamStar, to identify these stars among all eROSITA sources. HamStar assigns
each eROSITA source a value, p_stellar, that describes the individual probability of the source to be stellar
in nature. HamStar uses a Bayesian-framework taking advantage of supplementary
all-sky information, mainly Gaia data, which allows us to generate samples with well-defined properties,
e.g., completeness and purity. I will describe the resulting sample properties
of the 140,000 stellar sources in eRASS1 and briefly provide an outlook to eRASS:4:5.
Finally, I will demonstrate how we use the HamStar results to discover new associations of
young stars in the solar neighborhood and how this will influence our picture of stellar evolution
in the critical time when planets are shaped.
