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SUMMARY:A New Approach to Hadron Structure from Lattice QCD
DTSTART:20261028T130000Z
DTEND:20261028T150000Z
DTSTAMP:20261026T204900Z
UID:indico-event-1723681@indico.cern.ch
DESCRIPTION:Speakers: Andrea Shindler\n\nParton distribution functions (PD
 Fs) describe how the momentum of a hadron is distributed among its constit
 uent quarks and gluons and are essential ingredients in the interpretation
  of high-energy scattering experiments. While PDFs are primarily determine
 d through global analyses of experimental data\, lattice QCD offers a comp
 lementary\, first-principles approach through the calculation of their mom
 ents.\nFor decades\, however\, the calculation of higher PDF moments on th
 e lattice has been obstructed by severe renormalization and operator-mixin
 g problems\, as well as by the deterioration of the signal-to-noise ratio 
 as the moment order increases. These difficulties have severely limited th
 e information that can be obtained using conventional methods.\nIn this co
 lloquium\, I will introduce a new approach based on the gradient flow that
  overcomes the longstanding renormalization and mixing problems while also
  improving the statistical signal. By defining local operators at positive
  flow time\, one can avoid power-divergent mixing and establish a systemat
 ic connection between lattice observables and physical PDF moments through
  perturbative matching in the continuum. In principle\, this framework mak
 es moments of arbitrarily high order accessible to lattice QCD.\nI will pr
 esent recent numerical results for pion and nucleon structure\, illustrati
 ng both the progress achieved and the challenges that remain. I will compa
 re the lattice results with moments obtained from global PDF analyses and 
 discuss the precision that could be achieved with current state-of-the-art
  statistics in lattice QCD simulations.\n\nhttps://indico.cern.ch/event/17
 23681/\n\nZoom: https://cern.zoom.us/j/67346292748?pwd=ZnRkQWh0ZXVFQTc5K25
 6QW5NcEcrdz09
LOCATION:4/3-006 - TH Conference Room (CERN)
URL:https://indico.cern.ch/event/1723681/
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