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Zapraszamy na seminarium 28.03.2023

Dear All,

 

we have the pleasure to invite you to the Particle Theory Seminar on Tuesday, March 28  at 12:15, which will be given by

 

Paweł Sznajder (NCBJ)

 

entitled

 

"Machine learning techniques in phenomenology of generalised parton distributions (GPDs)”

 

Abstract:

 

"Generalised partons distributions (GPDs) describe the internal structure of hadrons in terms of quarks and gluons. They can be used, for instance, to study so-called nucleon tomography, and to access elements of the QCD energy-momentum tensor. Reconstruction of GPDs is a particularly difficult task, as available data are sparse compared to the number of objects and dimensions one must consider. In addition, one needs to solve a difficult inverse problem and fulfil a set of not trivial theory-driven constraints. In my talk I will show how elements of machine learning can be adapted and used for these purposes. I will focus on artificial neural networks, stressing their complementarity to classic techniques, like parametric fits. Technicalities involving e.g. genetic algorithms will also be described. "

 

The seminar will be in a hybrid mode, local people are invited to meet in the seminar room D-2-02.

Piotr Korcyl, Jacek Wosiek, Michał Praszałowicz