001     1049208
005     20251219161253.0
037 _ _ |a FZJ-2025-05290
041 _ _ |a English
100 1 _ |a Taggi, Emilio
|0 P:(DE-Juel1)207085
|b 0
|e Corresponding author
111 2 _ |a 42nd International Symposium on Lattice Field Theory
|g Lattice 2025
|c Mumbai
|d 2025-11-02 - 2025-11-08
|w India
245 _ _ |a Higher Moments of Parton Distribution Functions from Lattice QCD at the Physical Point
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
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502 _ _ |c University of Bonn
520 _ _ |a Using forward matrix elements of local leading twist operators, we present a determination of the third Mellin moments $\left< x^2\right>$ of nucleon's unpolarized, polarized and transversity parton distribution functions. Two lattice QCD ensembles at the physical pion mass are used: these were generated using a tree-level Symanzik-improved gauge action and $2+1$ flavor tree-level improved Wilson Clover fermions coupling via 2-level HEX-smearing. Leveraging a wide set of interpolating operators, two extraction methods for the matrix elements, data driven priors to control excited states in multi-states fits, and the automatic inclusion of model uncertainties via bootstrapped model averages, we are able to extract competitive values of the third Mellin Moments that we can compare to previous lattice results. The data analysis procedure is explained and the obtained results are discussed.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
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536 _ _ |a AIDAS - Joint Virtual Laboratory for AI, Data Analytics and Scalable Simulation (aidas_20200731)
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856 4 _ |u https://indico.global/event/14504/contributions/137771/
856 4 _ |u https://juser.fz-juelich.de/record/1049208/files/Lattice2025_Talk_EmilioTaggi.pdf
|y Restricted
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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|b 0
|6 P:(DE-Juel1)207085
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
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|v Enabling Computational- & Data-Intensive Science and Engineering
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914 1 _ |y 2025
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a conf
980 _ _ |a EDITORS
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980 _ _ |a I:(DE-Juel1)JSC-20090406
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