# LHC lead data and nuclear PDFs

## TL;DR

This paper evaluates how LHC proton-lead data can improve nuclear parton distribution functions by identifying sensitive data sets and estimating their impact through reweighting methods.

## Contribution

It introduces a systematic approach to select and analyze LHC data that can significantly constrain nuclear PDFs, enhancing global analysis accuracy.

## Key findings

- Certain LHC data sets are highly sensitive to nuclear PDFs.
- Identified kinematic regions where data can provide new constraints.
- Reweighting shows potential for improved nuclear PDF determinations.

## Abstract

We compare predictions of nCTEQ15 nuclear parton distribution functions with proton-lead vector boson production data from the LHC. We select data sets that are most sensitive to nuclear PDFs and have potential to constrain them. We identify the kinematic regions and flavours where these data can bring new information and will have largest impact on the nuclear PDFs. Finally, we estimate the effect of including these data in a global analysis using a reweighting method.