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...

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Bibliographic Details
Main Authors: Gebhard, Jannis (Author) , Mazeliauskas, Aleksas (Author) , Takacs, Adam (Author)
Format: Article (Journal)
Language:English
Published: 03 April 2025
In: Journal of high energy physics
Year: 2025, Issue: 4, Pages: [1], 1-25
ISSN:1029-8479
DOI:10.1007/JHEP04(2025)034
Online Access: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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Author Notes:Jannis Gebhard, Aleksas Mazeliauskas and Adam Takacs
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Summary: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.
Item Description:Gesehen am 10.12.2025
Physical Description:Online Resource
ISSN:1029-8479
DOI:10.1007/JHEP04(2025)034