The identification of high-energy neutral pions whose decay products (two photons) merge into a single signal cluster in the electromagnetic calorimeter is a problem in event reconstruction at the LHCb experiment, since such clusters can easily be misinterpreted as other types of clusters, e.g., those of single photons. This summer student project developed and investigated a possible classification of these two cluster types (merged pions and single photons) using machine learning. This, in turn, may help improve current studies of CP-violating decays as well as open up new possibilities in physics analysis at LHCb
Important analyses of the core LHCb physics program rely on calorimetry to identify photons, high-en...
One of the most important aspects of data processing at LHC experiments is the particle identificati...
One of the most important aspects of data processing at flavor physics experiments is the particle i...
The identification of high-energy neutral pions whose decay products (two photons) merge into a sing...
We present a new approach to identifcation of boosted neutral particles using Electromagnetic Calori...
Reconstruction and identification of particles in calorimeters of modern High Energy Physics experim...
International audienceImportant analyses of the core LHCb physics program rely on calorimetry to ide...
International audienceA novel technique based on machine learning is introduced to reconstruct the d...
Important analyses of the core LHCb physics program rely on calorimetry to identify photons, high-en...
One of the most important aspects of data processing at LHC experiments is the particle identificati...
One of the most important aspects of data processing at flavor physics experiments is the particle i...
The identification of high-energy neutral pions whose decay products (two photons) merge into a sing...
We present a new approach to identifcation of boosted neutral particles using Electromagnetic Calori...
Reconstruction and identification of particles in calorimeters of modern High Energy Physics experim...
International audienceImportant analyses of the core LHCb physics program rely on calorimetry to ide...
International audienceA novel technique based on machine learning is introduced to reconstruct the d...
Important analyses of the core LHCb physics program rely on calorimetry to identify photons, high-en...
One of the most important aspects of data processing at LHC experiments is the particle identificati...
One of the most important aspects of data processing at flavor physics experiments is the particle i...