A first look at early 2022 proton-proton collisions at $\sqrt{s}\ =\ 13.6$ TeV for heavy-flavor jet tagging

Identification of jets stemming from heavy-flavor (bottom or charm) hadrons relies primarily on the inputs due to reconstruction of charged particle tracks and secondary vertices contained in these jets. Thus, it is crucial to study the data vs. simulation distributions of the kinematic variables that are used as inputs for the heavy-flavor tagging algorithms. With the start of LHC Run 3, new track reconstruction methods and changes of the general data-taking conditions have been introduced in the CMS experiment. In this note, a comparison of early Run 3 data vs. simulation distributions for several input variables, tagging discriminants, and other relevant kinematic observables in four different phase space regions that are enriched in b, c, and light (udsg) jets, is presented. The proton-proton collision data recorded by the CMS detector during the early part of the 2022 run, corresponding to an integrated luminosity of 7.65 fb$^{-1}$ , has been used for this study.