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@INPROCEEDINGS{Taggi:1049208,
      author       = {Taggi, Emilio},
      title        = {{H}igher {M}oments of {P}arton {D}istribution {F}unctions
                      from {L}attice {QCD} at the {P}hysical {P}oint},
      school       = {University of Bonn},
      reportid     = {FZJ-2025-05290},
      year         = {2025},
      abstract     = {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.},
      month         = {Nov},
      date          = {2025-11-02},
      organization  = {42nd International Symposium on
                       Lattice Field Theory, Mumbai (India), 2
                       Nov 2025 - 8 Nov 2025},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / AIDAS - Joint
                      Virtual Laboratory for AI, Data Analytics and Scalable
                      Simulation $(aidas_20200731)$},
      pid          = {G:(DE-HGF)POF4-5111 / $G:(DE-Juel-1)aidas_20200731$},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1049208},
}