Pith. sign in

REVIEW 2 cited by

Impact of Lattice Strangeness Asymmetry Data in the CTEQ-TEA Global Analysis

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2211.11064 v1 pith:QMSPACN6 submitted 2022-11-20 hep-ph hep-lat

classification hep-phhep-lat
keywords datact18aslatticeanalysisglobalasymmetryct18as2cteq-tea
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

We study the impact of lattice data on the determination of the strangeness asymmetry distribution $s_-(x) \equiv s(x) - {\bar s}(x)$ in the general CTEQ-TEA global analysis of parton distribution functions (PDFs) of the proton. Firstly, we find that allowing a nonvanishing $s_-(x)$, at the initial $Q_0=1.3$~GeV scale, in a global PDF analysis leads to a CT18As fit with similar quality to CT18A. Secondly, including the lattice data in the CT18As\_Lat fit greatly reduces the $s_-$-PDF error band size in the large-$x$ region. To further reduce its error would require more precise lattice data, extended to smaller $x$ values. We take ATLAS 7 TeV $W$ and $Z$ production data, SIDIS di-muon production data, $F_3$ structure function data, E866 NuSea data, and E906 SeaQuest data as examples to illustrate the implication of CT18As and CT18As\_Lat fits. The parametrization dependence for PDF ratio $(s+\bar{s})/(\bar{u}+\bar{d})(x)$ is analyzed with CT18As2 and CT18As2\_Lat fits as results.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Decoding the proton's gluonic density with lattice QCD-informed machine learning

    hep-ph 2025-07 conditional novelty 6.0 of 10

    A variational autoencoder inverse mapper extracts the proton's gluon PDF from lattice QCD pseudo-Ioffe-time distributions, yielding results consistent with global fits.

  2. MATRIX HAWAII: PineAPPL interpolation grids with MATRIX

    hep-ph 2025-06 accept novelty 6.0 of 10

    Matrix Hawaii provides a public interface between PineAPPL and MATRIX that generates interpolation grids at NNLO QCD + NLO EW accuracy for a range of LHC processes, with sub-permille interpolation errors.

Pith tools