Searching for hidden sector in multiparticle production at the LHC
Miguel-Angel Sanchis-Lozano, Edward K. Sarkisyan-Grinbaum, Salvador, Moreno-Picot
TL;DR
This paper investigates how a hidden sector beyond the Standard Model, such as a Hidden Valley model, could influence multiplicity distributions in multiparticle production at the LHC, focusing on factorial moments and cumulants.
Contribution
It explores the potential effects of hidden sectors on particle multiplicity statistics, providing a novel approach to detect new physics at the LHC.
Findings
Hidden sectors can alter factorial moments and cumulants in multiparticle production.
The study offers methods to identify hidden sector signatures in LHC data.
Results suggest specific observable deviations from Standard Model predictions.
Abstract
We study the impact of a hidden sector beyond the Standard Model, e.g. a Hidden Valley model, on factorial moments and cumulants of multiplicity distributions in multiparticle production with a special emphasis on the prospects for LHC results.
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