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arXiv · 2605.12490

DNN predictions for pp reference $p_\mathrm{T}$ spectra at unmeasured $\sqrt{s}$

Maria A. Calmon Behling·Mario Krüger·Jerome Jung·Henner Büsching
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Abstract

Studies of the properties of the Quark-Gluon Plasma in high-energy heavy-ion collisions commonly facilitate proton-proton (pp) collisions at the same center-of-mass energy per nucleon pair as a reference measurement. In this paper, a deep neural network-based approach for interpolating and extrapolating pp reference transverse-momentum spectra to unmeasured energies is presented. The model is trained with ALICE data from LHC Runs 1 and 2 and provides predictions for center-of-mass energies relevant to LHC Run 3 and beyond.

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Maria A. Calmon Behling, Mario Krüger, Jerome Jung, Henner Büsching. 2026-05-12. DNN predictions for pp reference $p_\mathrm{T}$ spectra at unmeasured $\sqrt{s}$. https://arxiv.org/abs/2605.12490

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