Speaker
Xavier Tintin
(Escuela Politecnica Nacional (EC))
Description
Subsequent to the release of CERN Open Data, the emergence of a variety of challenges awakened the curiosity and interests of scientists from different disciplines to attack them from their own expertise, among them computer science. The past few years have seen a high growth in the take-up of ML by the accelerator community in Deep Learning developments, for ML is noticeably a key tool to help meet demands in LHC applications, both in simulations and operations. This poster summarizes the study of Machine Learning Techniques and Algorithms used in HEP.
Authors
Roberto Andrade Paredes
(Escuela Politecnica Nacional (EC))
Xavier Tintin
(Escuela Politecnica Nacional (EC))
Co-authors
David Mena
(Escuela Politécnica Nacional)
Enrique Piedra Romero
(EPN)
Jessica Gualpa
Pablo Sarzosa
(Escuela Politécnica Nacional)
Ricardo Xavier Paredes
(Estudiante Partícipe)
Richard Rocha
Romina Trujillo
(EPN)
