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30 September 2018 to 5 October 2018
Aix-Les-Bains, Savoie, France
Europe/Zurich timezone
PROCEEDINGS OPEN UNTIL DECEMBER 15th 2018

Towards a Neural Network determination of nuclear parton distribution functions

3 Oct 2018, 09:00
20m
Aix-Les-Bains, Savoie, France

Aix-Les-Bains, Savoie, France

Aix-Les-Bains, Congress Center Student Lectures Day: September 30 at CERN
1a) Initial state (TALK) Parallel 1

Speaker

Mr Rabah Abdul Khalek (PhD Student at Nikhef)

Description

The QCD factorization theorems allows one to write any hard-scattering cross section involving hadrons in the initial state as a convolution between perturbative matrix elements and non-perturbative parton distributions functions (PDFs), which need to be extracted from experimental data by means of a global QCD analysis. Thanks to recent progress from both experiment and theory, the PDFs of free nucleons are currently well known over a wide kinematic range. However, the situation is rather different for the case of bound nucleons inside heavy nuclei, where a number of effects lead to differences between the nuclear PDFs (nPDFs) and their free nucleon counterparts. Improving our understanding of nPDFs is of crucial importance for the modeling of the initial state in heavy ion collisions. In this talk I will present the progress towards a first determination of nPDFs based on the NNPDF framework, extensively used for the cases of unpolarised and polarised free nucleon PDFs.

Primary authors

Mr Rabah Abdul Khalek (PhD Student at Nikhef) Prof. Juan Rojo (Assistant Professor at the Vrije Universiteit of Amsterdam, and Staff member at the Theory group of Nikhef)

Presentation materials