Shadowing in Inelastic Nucleon-Nucleon Cross Section?
Abstract
Experimental results of inclusive hard-process cross sections in heavy-ion collisions conventionally lean on a normalization computed from Glauber models where the inelastic nucleon-nucleon cross section σinelnn —a crucial input parameter—is simply taken from proton-proton measurements. In this Letter, using the computed electroweak boson production cross sections in lead-lead collisions as a benchmark, we determine σinelnn from the recent ATLAS data. We find a significantly suppressed σinelnn relative to what is usually assumed, show the consequences for the centrality dependence of the cross sections, and address the phenomenon in an eikonal minijet model with nuclear shadowing.
Main Authors
Format
Articles
Research article
Published
2020
Series
Subjects
Publication in research information system
Publisher
American Physical Society
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202012107039Use this for linking
Review status
Peer reviewed
ISSN
0031-9007
DOI
https://doi.org/10.1103/PhysRevLett.125.212301
Language
English
Published in
Physical Review Letters
Citation
- Eskola, K. J., Helenius, I., Kuha, M., & Paukkunen, H. (2020). Shadowing in Inelastic Nucleon-Nucleon Cross Section?. Physical Review Letters, 125(21), Article 212301. https://doi.org/10.1103/PhysRevLett.125.212301
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Funder(s)
Research Council of Finland
Research Council of Finland
Research Council of Finland
Research Council of Finland
Funding program(s)
Academy Research Fellow, AoF
Academy Research Fellow, AoF
Academy Project, AoF
Academy Project, AoF
Akatemiatutkija, SA
Akatemiatutkija, SA
Akatemiahanke, SA
Akatemiahanke, SA
Additional information about funding
We acknowledge the Academy of Finland, projects 297058, 330448 (K. J. E.), 308301 (H. P. and I. H.), and 331545 (I. H.), and the Väisälä Foundation (M. K.) for financial support. The Finnish IT Center for Science (CSC) is acknowledged for the computing time through the Project No. jyy2580.
Copyright© Authors, 2020