Speaker
Antonio Ortiz Velasquez
(UNAM, Mexico)
Description
The studies as a function of the charged-particle multiplicity allowed the discovery of heavy-ion-like effects in pp collisions. However, to some degree, the multiplicity classifiers used so far bias the sample towards hard processes like multi-jet final states. This limitation of the existing event classifiers makes it difficult to perform, for example, jet-quenching searches in high-multiplicity pp collisions. In this work I will discuss different approaches that have been developed over the last few years. The studies range from machine learning to a new event classifier called flattenicity. The resulting event classifiers have shown a strong sensitivity to multi-parton interactions.
Primary author
Antonio Ortiz Velasquez
(UNAM, Mexico)
