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