Akkretierende schwarze Löcher und Neutronensterne in der Milchstraße (FOR 2990 eROSTIA)

Third Party Funds Group - Sub project


Acronym: FOR 2990 eROSTIA

Start date : 01.07.2021

End date : 30.06.2025


Overall project details

Overall project

FOR 2990: eROSITA View of Stellar Endpoints (eRO-STEP) (FOR 2990 eROSITA) July 1, 2021 - Feb. 29, 2028

Project details

Short description

The purpose of the continuation is to extend the search and analysis of X-ray binary candidates where the compact object is a neutron star or a black hole to the whole eROSITA survey data that are available, which is a factor ~4 deeper in exposure time compared to the analysis performed so far. The continuation of the project will help in identifying and characterizing further X-ray binary candidates (including follow-up observations of these sources with other instruments), it will help us to further refine the X-ray luminosity function of the Galaxy, model the space and time density of the detected XRBs (i.e., take into account source variability in the construction of the XLF), and put the measured XLF in the context of the measured XRB population of nearby galaxies and of theoretical XLFs determined using binary evolution modeling.

Scientific Abstract

The purpose of the continuation is to extend the search and analysis of X-ray binary candidates where the compact object is a neutron star or a black hole to the whole eROSITA survey data that are available, which is a factor ~4 deeper in exposure time compared to the analysis performed so far. The continuation of the project will help in identifying and characterizing further X-ray binary candidates (including follow-up observations of these sources with other instruments), it will help us to further refine the X-ray luminosity function of the Galaxy, model the space and time density of the detected XRBs (i.e., take into account source variability in the construction of the XLF), and put the measured XLF in the context of the measured XRB population of nearby galaxies and of theoretical XLFs determined using binary evolution modeling.

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Contributing FAU Organisations:

Funding Source