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

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

We introduce GRANIITTI, a new Monte Carlo event generator designed especially to solve the enigma of glueballs at the LHC. We discuss the available physics processes, compare the simulations against STAR data from RHIC and span ambitious future directions towards the first diffractive event generato...

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Bibliographische Detailangaben
1. Verfasser:	Mieskolainen, Mikael
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - High Energy Physics - Experiment Physics - High Energy Physics - Phenomenology
Online-Zugang:	Volltext bestellen
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Beschreibung
Zusammenfassung:	We introduce GRANIITTI, a new Monte Carlo event generator designed especially to solve the enigma of glueballs at the LHC. We discuss the available physics processes, compare the simulations against STAR data from RHIC and span ambitious future directions towards the first diffractive event generator with a deep learning-enhanced computational engine.
DOI:	10.48550/arxiv.2304.06010