A novel phenomenological approach to total charm cross-section measurements at the LHC
arXiv:2506.22616 · doi:10.1140/epjc/s10052-026-15423-7
Abstract
We propose a novel, data-driven method for determining total charm cross sections in proton-proton collisions by extrapolating measured fiducial cross sections without assuming any particular fragmentation model. The recently observed charm fragmentation non-universality at the LHC experimentally establishes strongly increased baryon production fractions and correspondingly decreased meson production fractions compared to electron-positron collisions, with a very significant dependence. The novel method accounts for this non-universality and its -dependence through a data-driven extrapolation function called ddFONLL. Applied to production at 5 and 13 TeV, this approach yields total charm cross sections that fully incorporate the fragmentation non-universality and increase significantly compared to the previous measurements still based on fragmentation universality. The results are consistent with NNLO QCD predictions and enable direct comparisons free from fragmentation assumptions. We use this to evaluate the sensitivity of total cross-section measurements to parton distribution functions and the charm-quark mass. An outlook is given on the potential of further expanding the use of the ddFONLL method.
34 pages, 18 figures, published in EPJC
References in corpus (9)
- LHAPDF6: parton density access in the LHC precision era
- Implications of CTEQ global analysis for collider observables
- -- HATHOR -- HAdronic Top and Heavy quarks crOss section calculatoR
- The Path to Proton Structure at One-Percent Accuracy
- Measuring the running top-quark mass
- An investigation of the and heavy quark mass dependence in the MSHT20 global PDF analysis
- Measurement of prompt open-charm production cross sections in proton-proton collisions at 13 TeV
- NNLO PDFs driven by top-quark data
- Open -hadron production at hadron colliders in QCD at next-to-next-to-leading-order and next-to-next-to-leading-logarithmic accuracy