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PreprintCC BY 4.0arXiv

Probing the proton structure with minimum bias and low-pt dimuon events at hadron colliders

Abstract

This paper presents two methods for probing the proton structure and the number of partonic interactions in proton-proton collisions using dimuon production and minimum bias events. At the LHC these targeted measurements can provide information on the average number of partonic scatters in different event classes, their dependence on the partonic momentum fraction, x, and potentially partonic flavour. Within a simple mostly geometric model of multiparton interactions as quasi-independent scatters, the measurements can be used to make inference about the proton-proton overlap dependence on impact parameter and its partonic-x dependence.

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BibTeX
@misc{cormier2026probing,
  title = {{Probing the proton structure with minimum bias and low-pt dimuon events at hadron colliders}},
  author = {Kyle Cormier},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.18685},
  eprint = {2610.18685},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.18685},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Probing the proton structure with minimum bias and low-pt dimuon events at hadron colliders
AU  - Kyle Cormier
PY  - 2026
DA  - 2026/10/13
PB  - arXiv
DO  - 10.48550/arxiv.2610.18685
UR  - https://arxiv.org/abs/2610.18685
AB  - This paper presents two methods for probing the proton structure and the number of partonic interactions in proton-proton collisions using dimuon production and minimum bias events. At the LHC these targeted measurements can provide information on the average number of partonic scatters in different event classes, their dependence on the partonic momentum fraction, x, and potentially partonic flavour. Within a simple mostly geometric model of multiparton interactions as quasi-independent scatters, the measurements can be used to make inference about the proton-proton overlap dependence on impact parameter and its partonic-x dependence.
ER  -