DNN predictions for pp reference $p_\mathrm{T}$ spectra at unmeasured $\sqrt{s}$
High Energy Physics - Experiment
2026-05-13 v1
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.
Cite
@article{arxiv.2605.12490,
title = {DNN predictions for pp reference $p_\mathrm{T}$ spectra at unmeasured $\sqrt{s}$},
author = {Maria A. Calmon Behling and Mario Krüger and Jerome Jung and Henner Büsching},
journal= {arXiv preprint arXiv:2605.12490},
year = {2026}
}