Reconstructing jet anisotropies with cumulants
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912825718341632 |
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| author | Mengel, Tanner Magdy, Niseem Belmont, Ron Timmins, Anthony Nattrass, Christine |
| author_facet | Mengel, Tanner Magdy, Niseem Belmont, Ron Timmins, Anthony Nattrass, Christine |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_05831 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reconstructing jet anisotropies with cumulants Mengel, Tanner Magdy, Niseem Belmont, Ron Timmins, Anthony Nattrass, Christine Nuclear Theory Nuclear Experiment 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. |
| title | Reconstructing jet anisotropies with cumulants |
| topic | Nuclear Theory Nuclear Experiment |
| url | https://arxiv.org/abs/2503.05831 |