Spatial resolution of dijet photoproduction in near-encounter ultraperipheral nuclear collisions

We present next-to-leading order perturbative QCD predictions for inclusive dijet photoproduction in ultraperipheral nucleus-nucleus collisions (UPCs) within the impact-parameter dependent equivalent photon approximation. Taking into account the finite size of both the photon-emitting nucleus and the target nucleus, we show that this process is sensitive to the transverse-plane geometry of the UPC events. We show that this leads to a sizable, 20–40% effect for large values of the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:msub><a:mi>z</a:mi><a:mi>γ</a:mi></a:msub></a:math> variable in the dijet photoproduction cross section in lead-lead UPCs at 5.02 TeV compared to the widely used pointlike approximation where the nuclear radius is accounted for only as a sharp cutoff in the photon flux calculation. This resolution of the spatial degrees of freedom is a result of having high-transverse-momentum jets in the final state, which at the large-<b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:msub><b:mi>z</b:mi><b:mi>γ</b:mi></b:msub></b:math> kinematics requires a highly energetic photon in the initial state, thus biasing the collisions to small impact-parameter “near-encounter” configurations. We further discuss the role of the forward-neutron event-class selection in isolating the photonuclear cross section in the nucleus-nucleus collisions, and employ the needed electromagnetic breakup survival factor in our predictions. Published by the American Physical Society 2024

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Publication Details

Journal
Physical review. C
Published
2024-11-13
DOI
https://doi.org/10.1103/physrevc.110.054906
Citations
7
Primary Topic
High-Energy Particle Collisions Research
Type
article
Field-Weighted Citation Impact
4.62

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article

Spatial resolution of dijet photoproduction in near-encounter ultraperipheral nuclear collisions

Hannu Paukkunen, Petja Paakkinen, K. Eskola, V. Guzey et al.
7 citations
Physical review. C
High-Energy Particle Collisions Research
4.62
article

Spatial resolution of dijet photoproduction in near-encounter ultraperipheral nuclear collisions

Hannu Paukkunen, Petja Paakkinen, K. Eskola, V. Guzey, Ilkka Helenius
article en
7 citations

Abstract

We present next-to-leading order perturbative QCD predictions for inclusive dijet photoproduction in ultraperipheral nucleus-nucleus collisions (UPCs) within the impact-parameter dependent equivalent photon approximation. Taking into account the finite size of both the photon-emitting nucleus and the target nucleus, we show that this process is sensitive to the transverse-plane geometry of the UPC events. We show that this leads to a sizable, 20–40% effect for large values of the <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:msub><a:mi>z</a:mi><a:mi>γ</a:mi></a:msub></a:math> variable in the dijet photoproduction cross section in lead-lead UPCs at 5.02 TeV compared to the widely used pointlike approximation where the nuclear radius is accounted for only as a sharp cutoff in the photon flux calculation. This resolution of the spatial degrees of freedom is a result of having high-transverse-momentum jets in the final state, which at the large-<b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:msub><b:mi>z</b:mi><b:mi>γ</b:mi></b:msub></b:math> kinematics requires a highly energetic photon in the initial state, thus biasing the collisions to small impact-parameter “near-encounter” configurations. We further discuss the role of the forward-neutron event-class selection in isolating the photonuclear cross section in the nucleus-nucleus collisions, and employ the needed electromagnetic breakup survival factor in our predictions. Published by the American Physical Society 2024

Physical review. CVol. 110(5)
University of Helsinki (FI), Helsinki Institute of Physics (FI), University of Jyväskylä (FI)
Academy of Finland, China Scholarship Council, CSC – IT Center for Science, H2020 European Research Council
Openalex Percentile: Top 4%
High-Energy Particle Collisions Research
4.62
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