Low-dimensional Supersymmetric Lattice Models
Georg Bergner, Tobias Kaestner, Sebastian Uhlmann, Andreas Wipf

TL;DR
This paper investigates supersymmetric lattice models in one and two dimensions, demonstrating improved simulation results and faster convergence to continuum values using specific derivatives and discretization techniques.
Contribution
It introduces improved lattice discretizations for supersymmetric models that enhance accuracy and convergence, including novel Wilson terms and the use of the SLAC derivative.
Findings
Wilson derivative with Stratonovitch discretization yields better finite lattice results
Masses from supersymmetric models match continuum values more quickly with new discretizations
SLAC derivative achieves high-accuracy results even without improvement terms
Abstract
We study and simulate N=2 supersymmetric Wess-Zumino models in one and two dimensions. For any choice of the lattice derivative, the theories can be made manifestly supersymmetric by adding appropriate improvement terms corresponding to discretizations of surface integrals. In one dimension, our simulations show that a model with the Wilson derivative and the Stratonovitch prescription for this discretization leads to far better results at finite lattice spacing than other models with Wilson fermions considered in the literature. In particular, we check that fermionic and bosonic masses coincide and the unbroken Ward identities are fulfilled to high accuracy. Equally good results for the effective masses can be obtained in a model with the SLAC derivative (even without improvement terms). In two dimensions we introduce a non-standard Wilson term in such a way that the discretization…
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.
