The ATLAS Pixel Detector upgrade: from data acquisition to improved track reconstruction for better physics
by
48-224 - Madrone
SLAC
The ATLAS experiment at the Large Hadron Collider (LHC) explores a vast range of physics analyses, from precision measurements of Standard Model parameters to Beyond the Standard Model searches. The particles produced in proton-proton collisions at the LHC travel outwards through the ATLAS detector leaving different signatures in the various sub-systems. It is of paramount importance that raw data is acquired with the highest possible efficiency and quality and is combined with the best knowledge of the detector response in order to identify the nature of the outgoing particles and precisely measure their physical properties. The Run 2 of the LHC offered new challenges in the event reconstruction chain with respect to Run 1 due to a higher number of interactions per bunch crossing, denser jets and higher data rate. To cope with these harsher experimental conditions, the Inner Detector (ID) of the ATLAS experiment underwent several upgrades during the first Long Shutdown of the LHC, both in terms of hardware and in terms of improved object reconstruction algorithms.
In this seminar, I will present a search for Supersymmetry in a scenario where top squarks decay into tau sleptons, with emphasis on the reconstruction methods of the final state objects. I will then discuss the upgrade of the ATLAS Pixel Detector, focusing on the installation of the new Insertable B-Layer (IBL) and data acquisition, the ID track-based alignment and the improvements to the track reconstruction algorithms, based on the use of a set of neural networks for a more precise clustering and hit-position determination.
Alden Fan / Christina Ignarra