Measurements are presented of the cross-section for the central exclusive production ofJ/\psi\to\mu^+\mu^- and\psi(2S)\to\mu^+\mu^- processes in proton-proton collisions at\sqrt{s} = 13 \ \mathrm{TeV} with 2016–2018 data. They are performed by requiring both muons to be in the LHCb acceptance (with pseudorapidity2<\eta_{\mu^±} < 4.5 ) and mesons in the rapidity range2.0 < y < 4.5 . The integrated cross-section results are\sigma_{J/\psi\to\mu^+\mu^-}(2.0 where the uncertainties are statistical, systematic and due to the luminosity determination. In addition, a measurement of the ratio of\psi(2S) andJ/\psi cross-sections, at an average photon-proton centre-of-mass energy of1\ \mathrm{TeV} , is performed, giving$ = 0.1763 ± 0.0029 ± 0.0008 ± 0.0039,$$ where the first uncertainty is statistical, the second systematic and the third due to the knowledge of the involved branching fractions. For the first time, the dependence of theJ/\psi$ and\psi(2S) cross-sections on the total transverse momentum transfer is determined inpp collisions and is found consistent with the behaviour observed in electron-proton collisions.
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This content will become publicly available on February 17, 2026
Describing hadronization via histories and observables for Monte-Carlo event reweighting
We introduce a novel method for extracting a fragmentation model directly from experimental data without requiring an explicit parametric form, called Histories and Observables for Monte-Carlo Event Reweighting (HOMER), consisting of three steps: the training of a classifier between simulation and data, the inference of single fragmentation weights, and the calculation of the weight for the full hadronization chain. We illustrate the use of HOMER on a simplified hadronization problem, aq\bar{q} string fragmenting into pions, and extract a modified Lund string fragmentation functionf(z) . We then demonstrate the use of HOMER on three types of experimental data: (i) binned distributions of high-level observables, (ii) unbinned event-by-event distributions of these observables, and (iii) full particle cloud information. After demonstrating thatf(z) can be extracted from data (the inverse of hadronization), we also show that, at least in this limited setup, the fidelity of the extractedf(z) suffers only limited loss when moving from (i) to (ii) to (iii). Public code is available at https://gitlab.com/uchep/mlhad.
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- PAR ID:
- 10615029
- Publisher / Repository:
- SciPost
- Date Published:
- Journal Name:
- SciPost Physics
- Volume:
- 18
- Issue:
- 2
- ISSN:
- 2542-4653
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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