Fiche de HENNEQUIN Arthur

Titre : Performance optimization for the LHCb experiment
Date : 31 janvier 2022
Heure: 14:00
Résumé : The LHCb experiment, at CERN, is preparing a major upgrade of its detector and a change from an hardware-based to a fully software-based trigger system. It is now facing the challenge of being able to process incoming events at a rate of 30 million events per second. To cope with this massive data input, the software must be optimized to use the processing power of the filtering farm more efficiently. This thesis focus on the first algorithm of LHCb's High Level Trigger software: the Vertex Locator (VELO) reconstruction algorithm. The VELO is the first detector encountered by particles, directly surrounding the interaction region. Its goal is to find the initial track candidate that are then followed through the other layers of the LHCb detector with a good enough resolution that they could also be used to locate the location of the collisions. The first step of this algorithm is to prepare the data by grouping pixels of the silicon sensors into hits; this process is called connected c
Lieu : LIP6, grande salle