Use of Deep Learning to Improve the Computational Complexity of Reconstruction Algorithms in High Energy Physics

The optimization of reconstruction algorithms has become a key aspect in the field of experimental particle physics. As technology has gradually increased the complexity of measurements, the amount of data collected that needs to be interpreted has also grown. This is the case with the LHCb experiment at CERN, where a major update currently underway will significantly increase the speed of data processing. You want to know more about this interesting article by the doctoral student Nuria Valls Canuda together with her tutors Dra. Miriam Calvo and Prof. Dr. Xavier Vilasís, we invite you to read the following article:

https://www.mdpi.com/2076-3417/11/23/11467