Self Organizing Maps Parametrization of Parton Distribution Functions
Self Organizing Maps Parametrization of Parton Distribution Functions
Self Organizing Maps Parametrization of Parton Distribution Functions
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Introduction<br />
⇒The study <strong>of</strong> hadron structure in the LHC era involves a large set <strong>of</strong><br />
<strong>of</strong> increasingly complicated and diverse observations from which<br />
PDFs, TMDs, GPDs, etc…are extracted and compared to patterns<br />
predicted theoretically.<br />
⇒ Experimental observations can be linked to the momentum, spin, and<br />
spatial configurations <strong>of</strong> the hadrons’ constituents.<br />
⇒ Conventional approaches tend to explain such patterns in terms <strong>of</strong><br />
the microscopic properties <strong>of</strong> the theory (based on two-body interactions).<br />
⇒We attack the problem from a different perspective:<br />
Study the behavior <strong>of</strong> multiparticle systems as they evolve from a<br />
large and varied number <strong>of</strong> initial conditions.<br />
⇒ This goal is at reach within modern High Performance Computing