Parton Distributions and Lattice Calculations (PDFLattice 2024)

Session

Session 6

19 Nov 2024, 10:30

JLab

Conveners

Session 6

• Kehfei Liu

3. From uncertainty to discovery: machine learning at the frontier of phenomenology

Brandon Kriesten

19/11/2024, 10:30

Talk

Uncertainty quantification (UQ) plays a crucial role in the predictive power of nonperturbative quantum correlation functions in high precision phenomenology. My research explores novel approaches to UQ in the context of parton distribution functions (PDFs), using machine learning techniques to map between observables and underlying theoretical models and navigate the complex parametric...

29. Compton amplitude and the nucleon structure functions

Dr Kadir Utku Can (The University of Adelaide)

19/11/2024, 10:50

Talk

The structure of hadrons relevant for deep-inelastic scattering are completely characterised by the Compton amplitude. It is possible to directly calculate the Compton amplitude by taking advantage of the familiar Feynman-Hellmann approach applied in the context of lattice QCD. In principle, the x-dependent structure functions can be recovered from the amplitude or the amplitude itself can be...

31. Extraction of PDFs from lattice QCD calculable parton correlation functions

Zheng-Yang Li

19/11/2024, 11:10

Talk

Unlike extracting parton distribution functions (PDFs) from experimentally measured cross sections, it is crucial to adopt an appropriate renormalization schedule for lattice QCD calculable parton correlation functions so that we can properly identify the infrared safe matching coefficients for the extraction of PDFs from these renormalized lattice correlation functions. In this talk, I will...

49. Discussion

19/11/2024, 11:30