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We introduce GRANIITTI, a new Monte Carlo event generator designed especiallyto solve the enigma of glueballs at the LHC. We discuss the available physicsprocesses, compare the simulations against STAR data from RHIC and spanambitious future directions towards the first diffractive event generator witha deep learning-enhanced computational engine.

GRANIITTI: towards a deep learning-enhanced Monte Carlo event generator for high-energy diffraction