Presentation materials
Particle detectors at accelerators generate large amount of data, requiring analysis to derive insights. Collisions lead to signal pile up, where multiple particles produce signals in the same detector sensors, complicating individual signal identification. This contribution describes the implementation of a deep learning algorithm on a Versal ACAP device for improved processing via...
When electrons are produced at the LHCb experiment, they usually have a long way to go until they reach the electronic calorimeter (ECAL). In this journey, they will traverse layers and layers of material from the detector, which will cause them to lose energy due to Bremsstrahlung emission in the form of photons. When these photons are emitted before the magnet of the detector, the electrons...
In the LHCb experiment, the calorimeters (ECAL and HCAL) are is divided into regions with different dimensions and sensors sizes.
The energy is measured by considering signal in the clusters of CALO cells. In this talk, a new method of clusterisation for the LHCb ECAL is proposed.
In this work, the performance for the identification of electrons and misidentification of pions as electrons is measured for 2024 LHCb data. The detector and the reconstruction have changed significantly for Run 3, so it is important to validate the electron identification performance with the early data. Electron identification is evaluated by the electron reconstruction algorithms in the...
