Speaker
Maria Pereira Martinez
(IGFAE)
Description
The complexity of modern High Energy Physics experiments and the large volumes of data they produce have made Machine Learning and Data Science essential tools in many areas of experimental research. In this talk, I will present some examples of ML applications in experimental HEP, covering problems ranging from data reconstruction and analysis to detector simulation and optimization, focusing on examples from IGFAE collaborations.
Author
Maria Pereira Martinez
(IGFAE)