# 9th Edition of the Large Hadron Collider Physics Conference

7-12 June 2021
Zoom
Europe/Paris timezone

## Extraction of the multiplicity dependence of Multiparton Interactions from LHC pp data using Machine Learning techniques

Jun 10, 2021, 6:45 PM
1h
Zoom

#### Zoom

Experimental poster Heavy Ions

### Speaker

Erik Alfredo Zepeda Garcia (Universidad Nacional Autonoma (MX))

### Description

Over the last years, Machine Learning (ML) tools have been successfully applied to a wealth of problems in high-energy physics. In this talk, we will discuss the extraction of the average number of Multiparton Interactions ($〈N_{mpi}〉$) from minimum-bias pp data at LHC energies using ML methods. Using the available ALICE data on transverse momentum spectra as a function of multiplicity we report the $〈N_{mpi}〉$ for pp collisions at √s = 7 TeV, which complements our previous results for pp collisions at √s = 5.02 and 13 TeV. The comparisons indicated a modest energy dependence of $〈N_{mpi}〉$. We also report the multiplicity dependence of $N_{mpi}$ for the three center-of-mass energies. These results are fully consistent with the existing ALICE measurements sensitives to MPI, therefore they provide experimental evidence of the presence of MPI in pp collisions.

### Primary authors

Erik Alfredo Zepeda Garcia (Universidad Nacional Autonoma (MX)) Antonio Ortiz Velasquez (Universidad Nacional Autonoma (MX))

### Presentation materials

 LHCP2021erik.pdf Zoom meeting room