Our Indico upgrade is complete. If you run into any issues, please contact indico@jlab.org.
10-12 April 2019
Denver, CO
US/Mountain timezone

A Monte Carlo analysis of nuclear PDFs with neural networks

10 Apr 2019, 14:50
25m
Director's Row I (Denver, CO)

Director's Row I

Denver, CO

Sheraton Denver Downtown Hotel, 1550 Court Pl. lobby level of the Plaza building
invited talk Nuclear PDFs

Speaker

Jacob Ethier (Vrije Universiteit / Nikhef)

Description

While tremendous effort has been made to determine the parton distribution functions (PDFs) of a free proton, less is known about their modification in nuclei. Such information is vital for our understanding of parton dynamics, since it can provide valuable insight into nuclear effects that are not well understood. In this talk, I present nNNPDF1.0, the first analysis of nuclear PDFs from the NNPDF collaboration. Using Monte Carlo techniques together with powerful machine learning algorithms, we obtain a reliable estimation of nPDF central values and their uncertainties.

Primary authors

Jacob Ethier (Vrije Universiteit / Nikhef) Juan Rojo (Vrije Universiteit / Nikhef) Rabah Abdul Khalek (Vrije Universiteit / Nikhef)

Presentation Materials