Synchronous and asynchronous Data Quality Control of the ALICE Inner Tracking System in the LHC Run 3
Svetlana Kushpil (on behalf of the ALICE Collaboration)

TL;DR
This paper describes the data quality control system for the ALICE ITS2 detector at CERN, which monitors and reconstructs data to ensure stable, high-quality data collection during LHC Run 3, enabling precise physics measurements.
Contribution
It introduces a comprehensive data quality control framework combining synchronous monitoring and asynchronous reconstruction for the ALICE ITS2 detector.
Findings
Stable data taking achieved during Run 3
Effective monitoring of detector parameters and data integrity
High-quality data enabling advanced physics analyses
Abstract
The Inner Tracking System (ITS) of the ALICE experiment at the CERN Large Hadron Collider (LHC) is the largest Monolithic Active Pixel Sensor technology application in high-energy physics. The upgraded version of the tracking system, called ITS2, consists of seven concentric layers of ALPIDE monolithic active pixel sensors produced in the 180 nm CMOS process, covering a total sensitive area of about 10 m. The ALPIDE sensor features a pixel pitch of 27 m 29 m and a position resolution of about 5 m. The very low material budget, 0.36\% /layer for the three innermost layers and 1.10\% /layer for the outer layers, in combination with the small radial distance of only 23 mm from the beam, leads to an excellent impact parameter resolution at low transverse momentum. This makes the detector well suited for experimentally challeging physics…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · Distributed and Parallel Computing Systems
