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Impact of W and Z Production Data and Compatibility of Neutrino DIS Data in Nuclear Parton Distribution Functions

by K. F. Muzakka, P. Duwentäster, T. J. Hobbs, T. Ježo, M. Klasen, K. Kovařík, A. Kusina, J. G. Morfín, F. I. Olness, R. Ruiz, I. Schienbein, J. Y. Yu

This Submission thread is now published as

Submission summary

Authors (as registered SciPost users): Timothy Hobbs · Khoirul Faiq Muzakka
Submission information
Preprint Link: https://arxiv.org/abs/2107.13235v2  (pdf)
Date accepted: 2022-04-14
Date submitted: 2022-03-25 15:01
Submitted by: Muzakka, Khoirul Faiq
Submitted to: SciPost Physics Proceedings
Proceedings issue: 28th Annual Workshop on Deep-Inelastic Scattering (DIS) and Related Subjects (DIS2021)
Ontological classification
Academic field: Physics
Specialties:
  • High-Energy Physics - Theory
  • High-Energy Physics - Phenomenology
  • Nuclear Physics - Theory
Approaches: Theoretical, Computational, Phenomenological

Abstract

Vector boson production and neutrino deep-inelastic scattering (DIS) data are crucial for constraining the strange quark parton distribution function (PDF) and more generally for flavor decomposition in PDF extractions. We extend the nCTEQ15 nuclear PDFs (nPDFs) by adding the recent $W$ and $Z$ production data from the LHC in a global nPDF fit. The new nPDF set, referred to as nCTEQ15WZ, is used as a starting point for a follow-up study in which we assess the compatibility of neutrino DIS data with charged lepton DIS data. Specifically, we re-analyze neutrino DIS data from NuTeV, Chorus, and CDHSW, as well as dimuon data from CCFR and NuTeV. To scrutinize the level of compatibility, different kinematic regions of the neutrino data are investigated. Fits to the neutrino data alone and a preliminary global fit are performed and compared to nCTEQ15WZ.

Author comments upon resubmission

We would like to thank the referees for providing us with some valuable feedback.

List of changes

- The choice of chi2 tolerance, DeltaT=45, is now explained in the text as the 90% chi2 percentile of the original data (S).

Published as SciPost Phys. Proc. 8, 041 (2022)

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