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Università degli Studi di Milano

FAITHFUL ESTIMATION OF UNCERTAINTIES IN MODERN PDF EXTRACTIONS

Abstract

dc:description

The primary focus of this Ph.D. thesis is the precise determination and validation of the uncertainties associated with parton distribution func- tions (PDFs). We introduce and implement the theory covariance method within the NNPDF4.0 framework, enabling the incorporation of theoretical uncertainties into the PDF determination process. Additionally, we revisit and expand upon the closure tests framework, which serves as a tool for val- idating the PDF extraction methodology in a controlled environment. This framework is applied to a dataset that has been deliberately constructed to be inconsistent, allowing for a rigorous assessment of the methodology’s ro- bustness. Furthermore, we utilize this framework to validate the extraction of the strong coupling constant using the correlated replica method. Finally, we present a novel theoretical pipeline, which introduces several technical advancements and underpins all the results discussed in this thesis.

Degree

thesis:*
Grantor dc:publisher
Università degli Studi di Milano
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • BARONTINI, ANDREA
Contributors dc:contributor
  • supervisore: S. Forte ; coordinatore: A. Mennella
  • A. Barontini
  • FORTE, STEFANO
  • MENNELLA, ANIELLO

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:air.unimi.it:2434/1115344

Chain of custody

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Università degli Studi di Milano
Base URL
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Last updated
2026-07-27
Source record
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citation

BARONTINI, ANDREA. FAITHFUL ESTIMATION OF UNCERTAINTIES IN MODERN PDF EXTRACTIONS. Università degli Studi di Milano, 2024. https://hdl.handle.net/2434/1115344