Distribution Functions From Breit-Frame Regularisation
Helmut Kroger, Norbert Scheu (D\'ep. de physique, universit\'e Laval)
TL;DR
This paper introduces a novel Hamiltonian lattice method inspired by deep inelastic scattering to compute distribution functions, demonstrating its effectiveness through scalar model tests that align with known scaling behaviors.
Contribution
The paper presents a new regularisation approach for Hamiltonian lattice calculations based on deep inelastic scattering principles, linking distribution functions with structure functions.
Findings
Agreement with known scaling behavior
Successful computation of scalar model critical behavior
Validation against Lüscher and Weisz results
Abstract
We suggest a new Hamiltonian lattice approach, using a regularisation motivated by deep inelastic scattering. We discuss the relation between distribution functions and the structure function. We have tested this method by computing the critical behaviour of the scalar model and find agreement with scaling behaviour and with results by L\"uscher and Weisz.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.