# The path to proton structure at 1% accuracy

@article{Ball2022ThePT,
title={The path to proton structure at 1\% accuracy},
author={Richard D. Ball and Stefano Carrazza and Juan Cruz-Martinez and Luigi Del Debbio and Stefano Forte and Tommaso Giani and Shayan Iranipour and Zahari Kassabov and Jos{\'e} Ignacio Latorre and Emanuele R. Nocera and Rosalyn L. Pearson and Juan Rojo and Roy Stegeman and Christopher Schwan and Maria Ubiali and Cameron Voisey and Michael Wilson},
journal={The European Physical Journal C},
year={2022}
}
• Published 6 September 2021
• Computer Science
• The European Physical Journal C
We present a new set of parton distribution functions (PDFs) based on a fully global dataset and machine learning techniques: NNPDF4.0. We expand the NNPDF3.1 determination with 44 new datasets, mostly from the LHC. We derive a novel methodology through hyperparameter optimization, leading to an efficient fitting algorithm built upon stochastic gradient descent. We use NNLO QCD calculations and account for NLO electroweak corrections and nuclear uncertainties. Theoretical improvements in the…

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## References

SHOWING 1-10 OF 68 REFERENCES

### Bayesian approach to inverse problems: an application to NNPDF closure testing

• Physics
The European Physical Journal C
• 2022
We discuss the Bayesian approach to the solution of inverse problems and apply the formalism to analyse the closure tests performed by the NNPDF collaboration. Starting from a comparison with the

### An open-source machine learning framework for global analyses of parton distributions

• Computer Science
The European Physical Journal C
• 2021
The software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs) enables a number of phenomenological applications and the production of PDF fits under user-defined data and theory assumptions.

### Compressing PDF sets using generative adversarial networks

• Computer Science
The European Physical Journal C
• 2021
A compression algorithm for parton densities using synthetic replicas generated from the training of a generative adversarial network (GAN) is presented, able to provide a compressed set with smaller number of replicas and a more adequate representation of the original probability distribution.

### Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs

• Physics
The European Physical Journal C
• 2020
We present the new MSHT20 set of parton distribution functions (PDFs) of the proton, determined from global analyses of the available hard scattering data. The PDFs are made available at NNLO, NLO,

### Deuteron uncertainties in the determination of proton PDFs

• Physics
• 2020
We evaluate the uncertainties due to nuclear effects in global fits of proton parton distribution functions (PDFs) that utilise deep-inelastic scattering and Drell–Yan data on deuterium targets. To

### Qibo: a framework for quantum simulation with hardware acceleration

• Computer Science
Quantum Science and Technology
• 2021
This work introduces a new quantum simulation framework that enables developers to delegate all complicated aspects of hardware or platform implementation to the library so they can focus on the problem and quantum algorithms at hand.

### The strangest proton?

• Physics
The European Physical Journal C
• 2020
We present an improved determination of the strange quark and antiquark parton distribution functions of the proton by means of a global QCD analysis that takes into account a comprehensive set of

### An exploratory study of the impact of CMS double-differential top distributions on the gluon parton distribution function

• Physics, Mathematics
• 2020
LHC $t\bar{t}$ data have the potential to provide constraints on the gluon distribution, especially at high $x$, with both ATLAS and CMS performing differential measurements. Recently, CMS has

### Phenomenology of NNLO jet production at the LHC and its impact on parton distributions

• Physics
The European Physical Journal C
• 2020
We present a systematic investigation of jet production at hadron colliders from a phenomenological point of view, with the dual aim of providing a validation of theoretical calculations and guidance