A topological ML pipeline with a particle-level density filter recovers the intermittency index of a 5% CMC signal embedded in EPOS background in (eta, phi) space.
A machine learning classifier trained on these raw Betti curves could exploit this amplitude scaling to distin- guish classes by multiplicity rather than by cluster geometry
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Topological analysis of scale-invariant spatial fluctuations in ultrarelativistic heavy-ion collisions
A topological ML pipeline with a particle-level density filter recovers the intermittency index of a 5% CMC signal embedded in EPOS background in (eta, phi) space.