No-quenching baseline for energy loss signals in oxygen-oxygen collisions
In this work, we perform computations of inclusive jet, and semi-inclusive jet-hadron cross sections for minimum bias oxygen-oxygen collisions at RHIC and LHC collision energies. We compute the no-quenching baseline for the jet nuclear modification factor RAA and jet-, and hadron-triggered semi-incl...
Gespeichert in:
| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
03 April 2025
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| In: |
Journal of high energy physics
Year: 2025, Heft: 4, Pages: [1], 1-25 |
| ISSN: | 1029-8479 |
| DOI: | 10.1007/JHEP04(2025)034 |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: https://doi.org/10.1007/JHEP04(2025)034 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/JHEP04(2025)034 
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| Verfasserangaben: | Jannis Gebhard, Aleksas Mazeliauskas and Adam Takacs |
MARC
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| 520 | |a In this work, we perform computations of inclusive jet, and semi-inclusive jet-hadron cross sections for minimum bias oxygen-oxygen collisions at RHIC and LHC collision energies. We compute the no-quenching baseline for the jet nuclear modification factor RAA and jet-, and hadron-triggered semi-inclusive nuclear modification factors IAA. We do this with state-of-the-art nuclear parton distribution functions (nPDFs), next-to-leading-order matrix elements, parton shower, and hadronization. We observe deviations from unity due to cold-nuclear matter effects, even without quenching. We demonstrate that the parton distribution uncertainties constitute a significant obstacle in detecting energy loss in small collision systems. Hadron-triggered observables are particularly sensitive to uncertainties due to correlations between the trigger and analyzed particles. For jet-triggered IAA, there exists a kinematic window in which nPDF and scale uncertainties cancel dramatically while showing little sensitivity to parton shower and hadronization models, addressing a major limiting factor for energy loss discovery in small systems. | ||
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