AINeutralarXiv – CS AI · Mar 57/10
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End-to-end event reconstruction for precision physics at future colliders
Researchers developed an end-to-end AI-based event reconstruction system for future particle colliders that uses geometric algebra transformer networks and object condensation clustering. The system outperforms traditional rule-based algorithms by 10-20% in reconstruction efficiency and improves energy resolution by 22%, while reducing fake-particle rates by up to two orders of magnitude.