MPI@LHC 2023 is the thirteenth conference of a series of successful joint theory/experiment workshops that bring together the world's leading experts from theory and LHC experiments to discuss the latest progress on the physics relevant to the Multiple Partonic Interactions.
This year it will take place in person at the University of Manchester.
The conference will cover the following topics, divided in working groups:
Previous editions of the workshop:
Research into surprising effects found in collisions of a light nucleus with a heavy nucleus is one of the main pillars of present-day research in high energy nuclear physics, and the discovery of quark-gluon plasma formation in these small-volume collisions has fomented major developments in relativistic hydrodynamics. The Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory has conducted a small system geometry scan, comprising collisions of three different systems with three different intrinsic geometries. The experimental results demonstrate the translation of collision geometry into final state correlations, with different contributions from intrinsic geometry vs sub-nucleonic fluctuations in different kinematic regions. In this talk we summarize the latest results from both the PHENIX and STAR collaborations.
Double parton distributions characterize the correlated parton structure of hadrons, and play an important role in describing double parton scattering processes in hadron collisions. In this talk, I'll show how they can be directly computed from correlations of equal-time nonlocal Euclidean operators on the lattice in the large hadron momentum limit.
For short distances between the two probed partons double parton distributions (DPDs) are dominated by a perturbative $1 \to 2$ splitting which can be calculated in perturbation theory. In this talk I will briefly sketch how this splitting can be computed and then discuss the numerical impact of including the NLO contribution to this splitting. Besides modifying the overall size and shape of DPDs and DPD luminosities, one finds that the NLO contribution is crucial in reducing different kinds of scale uncertainties which are rather large at LO.