Pith. sign in

hub Mixed citations

High-energy physics event generation with PYTHIA 5.7 and JETSET 7.4

Mixed citation behavior. Most common role is background (50%).

16 Pith papers citing it
Background 50% of classified citations
abstract

A precise knowledge of the quark and gluon structure of the proton, encoded by the parton distribution functions (PDFs), is of paramount importance for the interpretation of high-energy processes at present and future lepton-hadron and hadron-hadron colliders. Motivated by recent progress in the PDF determinations carried out by the CT, MSHT, and NNPDF groups, we present an updated combination of global PDF fits: PDF4LHC21. It is based on the Monte Carlo combination of the CT18, MSHT20, and NNPDF3.1 sets followed by either its Hessian reduction or its replica compression. Extensive benchmark studies are carried out in order to disentangle the origin of the differences between the three global PDF sets. In particular, dedicated fits based on almost identical theory settings and input datasets are performed by the three groups, highlighting the role played by the respective fitting methodologies. We compare the new PDF4LHC21 combination with its predecessor, PDF4LHC15, demonstrating their good overall consistency and a modest reduction of PDF uncertainties for key LHC processes such as electroweak gauge boson production and Higgs boson production in gluon fusion. We study the phenomenological implications of PDF4LHC21 for a representative selection of inclusive, fiducial, and differential cross sections at the LHC. The PDF4LHC21 combination is made available via the LHAPDF library and provides a robust, user-friendly, and efficient method to estimate the PDF uncertainties associated to theoretical calculations for the upcoming Run III of the LHC and beyond.

hub tools

citation-role summary

background 4 method 3 dataset 1

citation-polarity summary

years

2026 10 2025 6

representative citing papers

A linear PDF model for Bayesian inference

hep-ph · 2025-07-22 · unverdicted · novelty 7.0

Presents a linear PDF parametrization from dimensionality-reduced neural network bases for efficient Bayesian inference, tested via multi-closure tests on synthetic deep inelastic scattering data.

Slepton pair production at next-to-leading power

hep-ph · 2025-10-08 · unverdicted · novelty 6.0

Evaluates next-to-leading power threshold corrections for slepton pair production and finds them significant compared to leading power NLL terms, with underestimated scale errors for large masses.

Top Pair Threshold Revisited

hep-ph · 2026-05-19 · unverdicted · novelty 4.0

Updated non-relativistic Green's function formalism for ttbar threshold production gives a below-threshold cross section of order 6.5 pb matching recent LHC excess observations.

QCD studies and precision physics at the LHeC

hep-ex · 2026-06-17 · unverdicted · novelty 3.0

LHeC would enable a single-experiment coherent determination of all proton PDFs with reduced uncertainties on gluon, valence, strange and heavy-flavour distributions via high-luminosity DIS.

citing papers explorer

Showing 16 of 16 citing papers.