3–9 Sept 2023
Hilton of the Americas, 1600 Lamar, Houston, Texas, 77010, USA
US/Central timezone

Measurement of non-prompt D-mesons production in pp collisions at √s = 13 TeV using Machine Learning (ML) techniques with ALICE

5 Sept 2023, 17:30
2h 10m
Grand Ballroom, 4th floor ( Hilton of the Americas)

Grand Ballroom, 4th floor

Hilton of the Americas

Poster Heavy Flavor Poster Session

Speaker

Renu Bala (University of Jammu (IN))

Description

The production of hadrons containing charm or beauty quarks in pp collisions provides an important test for quantum chromodynamics calculations. These measurements also serve as reference for more complex systems such as Pb--Pb collisions, helping to characterize the various in-medium partonic energy loss mechanisms and their dependence on the quark mass.
The excellent particle identification, track and decay-vertex reconstruction capabilities of the ALICE experiment, together with machine-learning techniques for multi-class classification, are exploited to separate the non-prompt D mesons from the prompt ones. The precise measurements of non-prompt D-mesons production, in particular, allow us to investigate the production of beauty quarks in pp collisions. In this contribution, the latest results of the ALICE Collaboration on the measurement of non-prompt D mesons with Machine-Learning techniques will be presented. The results will also be compared with various theoretical models.

Category Experiment
Collaboration (if applicable) ALICE Collaboration

Author

Renu Bala (University of Jammu (IN))

Presentation materials