[Jlab-seminars] Today's Physics Seminar: Emanuele Nocera; Neural Network Parton Distributions from High Precision Collider Data

[Stephanie Tysor]

Physics Seminar 

Emanuele Nocera 



NIKHEF – Dutch National Institute for Subatomic Physics 



Neural Network Parton Distributions from High Precision Collider Data 







Abstract: 



The NNPDF collaboration determines the parton distribution functions (PDFs) of the proton, a fundamental tool in the theoretical description of the high-energy scattering of this particle, from a global analysis of experimental data. Contemporary methods of artificial intelligence are used, 
among which neural networks to provide a minimally biased parametrisation of the PDFs. In this talk, I review recent progress in the NNPDF analyses, including the impact of the most recent data from the Large Hadron Collider, the effect of including large- and small-x resummations, the determination of the strong coupling constant from PDFs, and a proposal to systematically include theoretical uncertainties in PDF determinations. 





Thursday, November 8, 2018 

11:00am 

CEBAF Center – Auditorium 




-- 
Stephanie Tysor 
Hall A Administrative Assistant 
Thomas Jefferson National Accelerator Facility 
(office)757-269-6005 (fax)757-269-5235 
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