large-R calibration in g->bb/cc

The student (alsidley ) will work towards calibrating g->bb/cc events in rel22 x-tagged with novel tagging techniques based on Graph networks that are currently being developed. She will port the analysis code from rel21 to rel22, produce the samples, and run the event selection and the final fit for the extraction of the x-tagging efficiency in data. The work will use as a starting point the methodology currently used by the rel21 g->bb analysis but improvements can be foreseen during the developments of the QT. Both X->bb and X->cc working points will be considered for calibration. This would lead toward the first calibration targeting X->cc decays. The calibration effort will start with RUN2 data and the addition of new RUN3 data will be considered if time allows.

Local supervisor: cpandini
Thecnical supervisor: fdibello
other: glance

Tagging: changqia, arelycg