Constrained Hybrid Monte Carlo algorithms for gauge-Higgs models
Michael G\"unther, Roman H\"ollwieser, Francesco Knechtli

TL;DR
This paper introduces a new constrained Hybrid Monte Carlo algorithm for gauge-Higgs models, enabling precise calculation of the effective Higgs potential across the full domain, surpassing traditional histogram methods.
Contribution
The authors develop an extension of the Rattle algorithm for constrained Hamiltonian systems, specifically applied to gauge-Higgs models, allowing for more accurate potential measurements.
Findings
The new method provides high-precision potential measurements over the entire Higgs domain.
It maintains statistical accuracy even with increasing volume, unlike histogram methods.
Results agree well with the one-loop Higgs potential in the 4D Abelian-Higgs model.
Abstract
We develop Hybrid Monte Carlo (HMC) algorithms for constrained Hamiltonian systems of gauge- Higgs models and introduce a new observable for the constraint effective Higgs potential. We use an extension of the so-called Rattle algorithm to general Hamiltonians for constrained systems, which we adapt to the 4D Abelian-Higgs model and the 5D SU(2) gauge theory on the torus and on the orbifold. The derivative of the potential is measured via the expectation value of the Lagrange multiplier for the constraint condition and allows a much more precise determination of the effective potential than conventional histogram methods. With the new method, we can access the potential over the full domain of the Higgs variable, while the histogram method is restricted to a short region around the expectation value of the Higgs field in unconstrained simulations, and the statistical precision does not…
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.
