31 July 2018 to 6 August 2018
Maynooth University
Europe/Dublin timezone

Neural networks and machine learning tools for global PDF analyses

2 Aug 2018, 15:30
30m
Hall C (Arts Bldg.)

Hall C

Arts Bldg.

Talk H. Statistical Methods for Physics Analysis in the XXI Century Statistical Methods for Physics Analysis in the XXI Century

Speaker

Juan Rojo (VU Amsterdam and Nikhef)

Description

The precision determination of the parton distribution functions (PDFs) of the proton is a central component for the precision phenomenology program at the Large Hadron Collider (LHC). Pinning down the quark and gluon structure of the proton strengthens a number of LHC cornerstone measurements such as the characterisation of the Higgs sector and searches for high-mass bSM resonances. In this talk I present recent methodological developments in the NNPDF approach to PDF determination, basic of artificial neural networks and related machine learning tools. I discuss progress towards improved training algorithms, studies of the dependence on the network architecture, and the implementation of external theoretical constraints. I conclude by briefly discussing some possible future directions, such as the applications of Generative Adversarial Networks or the Riemann-Theta Boltzmann Machine for PDF fits.

Primary author

Juan Rojo (VU Amsterdam and Nikhef)

Presentation Materials