Light Antinuclei Coalescence: Femtoscopic Constraints via Neural-Flow Surrogates
M. Korwieser, L. Fabbietti, B. Hashemi, L. Heinrich, M. Mahlein, D. L. Mihaylov, C. S. Zeyn
astro-ph.HE, hep-ph
Submitted: 2026-07-23
License: http://creativecommons.org/licenses/by/4.0/
The gist: Precise predictions of cosmic-ray antinuclei fluxes, a prime dark matter signature, are limited by the lack of data constraining production rates of antinuclei.
Terminology
Abstract
Precise predictions of cosmic-ray antinuclei fluxes, a prime dark matter signature, are limited by the lack of data constraining production rates of antinuclei. We mitigate this bottleneck with a fast, differentiable normalizing-flow surrogate for the femtoscopic source model (CECA), fit to 49 ALICE proton-proton correlation functions, and extrapolated via scaling laws to the low-multiplicity domain relevant for cosmic rays. The surrogate reproduces CECA with sub-percent emulation fidelity, yielding data-constrained source functions that remove the dominant uncertainty in coalescence-based antinuclei production rates. The resulting uncertainties on the coalescence parameters B 2 and B 3 shrink from factors of 10-100 and about 1000 to the few percent and ten-percent level, respectively, with an additional about 15% wavefunction systematic for B 2.
Sources
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