A simple non-parametric reconstruction of parton distributions from limited Fourier information

Fuente: arXiv
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Main Authors: Dutrieux, Hervé, Karpie, Joseph, Orginos, Kostas, Zafeiropoulos, Savvas
Format: Preprint
Published: 2024
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author Dutrieux, Hervé
Karpie, Joseph
Orginos, Kostas
Zafeiropoulos, Savvas
author_facet Dutrieux, Hervé
Karpie, Joseph
Orginos, Kostas
Zafeiropoulos, Savvas
contents Some calculations of parton distributions from first principles only give access to a limited range of Fourier modes of the function to reconstruct. We present a physically motivated procedure to regularize the inverse integral problem using a Gaussian process as a Bayesian prior. We propose to fix the hyperparameters of the prior in a meaningful physical fashion, offering a simple implementation, great numerical efficiency, and allowing us to understand and keep control easily of the uncertainty of the reconstruction.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05227
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A simple non-parametric reconstruction of parton distributions from limited Fourier information
Dutrieux, Hervé
Karpie, Joseph
Orginos, Kostas
Zafeiropoulos, Savvas
High Energy Physics - Lattice
High Energy Physics - Phenomenology
Some calculations of parton distributions from first principles only give access to a limited range of Fourier modes of the function to reconstruct. We present a physically motivated procedure to regularize the inverse integral problem using a Gaussian process as a Bayesian prior. We propose to fix the hyperparameters of the prior in a meaningful physical fashion, offering a simple implementation, great numerical efficiency, and allowing us to understand and keep control easily of the uncertainty of the reconstruction.
title A simple non-parametric reconstruction of parton distributions from limited Fourier information
topic High Energy Physics - Lattice
High Energy Physics - Phenomenology
url https://arxiv.org/abs/2412.05227