Updating flavor tagging parameterizations and MV2 hybrid sample training for the HL-LHC upgrade studies at the ATLAS detector

The Large Hadron Collider (LHC) will be upgraded for High Luminosity by 2025. Thus, the ATLAS detector at the LHC will undergo a major modification where a new all-silicon inner tracking detector (ITk) will replace the existing inner tracker. While coping with the increased luminosity, the new detector is also expected to provide an additional sensitivity in the very forward region. Simulated performance studies for the new detector are ongoing, including the evaluation of b-tagging performance (the ability to identify jets that contain a b-hadron), which plays a crucial role in various physics studies. I will present the results from the training of the multivariate b-tagging algorithm used by the ATLAS collaboration for the new tracker.