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arXiv · 2503.05831

Reconstructing jet anisotropies with cumulants

Tanner Mengel·Niseem Magdy·Ron Belmont·Anthony Timmins·Christine Nattrass
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Abstract

In relativistic heavy-ion collisions, where quark-gluon plasma forms, hadron production is anisotropic at both low and high transverse momentum, driven by flow dynamics and spatial anisotropies. To better understand these mechanisms, we use multi-particle correlations to reconstruct jet anisotropies. We simulate data using \textsc{TennGen}\xspace as a hydro-like background and combine it with \textsc{Pythia-8}\xspace generated jets, clustering them with the anti-$k_{\mathrm{t}}$\xspace algorithm. Jet anisotropies are unfolded using a Bayesian technique, ensuring the robustness of the reconstructed signals. Our results demonstrate that multi-particle cumulant methods can accurately capture the differential jet azimuthal anisotropies, providing crucial insights into high-$p_{T}\xspace$ behavior and the dynamics within heavy-ion collisions.

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Tanner Mengel, Niseem Magdy, Ron Belmont, Anthony Timmins, Christine Nattrass. 2025-03-06. Reconstructing jet anisotropies with cumulants. https://doi.org/10.1103/k68z-z2xr

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