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The ALICE Experiment has replaced its Inner Tracking System with a 7-layerpixel-only tracker made out of more than 24000 monolithic active pixel sensorchips, in order to fulfill the requirements of the physics program of the LHCRun 3. The upgraded Inner Tracking System (ITS2) has been installed in theALICE experiment during the LHC long shutdown 2 and has started to take datawith the beginning of Run 3 in July 2022, with proton-proton collisions at$\sqrt{s}$ = 13.6 TeV. With its 12.5 billion pixels it is the largest pixeldetector installed in a high energy physics experiment to date. To guaranteestable operation and a consistently high data quality, a regular calibration ofthe detector has to be performed. The main part of the calibration programconsists of a tuning and subsequent measurement of the pixel thresholds and adetermination of the noisy channels. In particular the complexity of thethreshold scan depends linearly on the number of pixels, which is why thethreshold scan of the ITS2 is an unprecedented challenge. This work describesthe architecture of the calibration framework, which has been developed usingthe detector control system of the ITS2 and the ALICE data processing layer.Results of first threshold and noise calibrations done in situ are shown aswell.

Calibration of the Upgraded ALICE Inner Tracking System