Search arXiv⌕ Search

arXiv · hep-lat/0508020

A Transverse Lattice QCD Model for Mesons

Abstract

This thesis describes work done by me during my tenure as a Ph.D. student at the Centre for High Energy Physics, Indian Institute of Science, Bangalore. Chapter 1 is a brief introduction to QCD. In Chapter 2, we formulate QCD in the large-$N_{c}$ and strong transverse coupling limits, and then exactly integrate out all the gauge degrees of freedom to obtain the generating functional for quark-antiquark bilinears. We study the chiral properties of our limiting theory in Chapter 3, for naive as well as Wilson fermions, and obtain a recursive relation for the chiral condensate. In Chapter 4, we obtain the homogeneous integral equation satisfied by the meson states of our theory. Comparison of this equation with the corresponding one for the 't~Hooft model allows us to infer many physical meson properties. Our results are consistent with phenomenological expectations, and this is the first time that such results have been obtained from $(3+1)$-dim QCD, with only quark and gluon degrees of freedom and no ad hoc model assumptions. Extraction of precise values requires numerical solution of the integral equation; we have not yet carried that out and we describe our outlook for further investigations at the end of Chapter 4. Three appendices supplement our analysis. Our notation and conventions are listed in Appendix A. The known results for mesons in the 't~Hooft model and in strong coupling lattice QCD are rederived, in Appendix B and in Appendix C respectively, using the same methodology as followed in the thesis. That allows convenient comparison, as well as demonstrates the advantage of our approach over these two well-studied approximations to QCD.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Raghunath Ratabole. 2005-08-22. A Transverse Lattice QCD Model for Mesons. https://arxiv.org/abs/hep-lat/0508020

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Accurate Sampling from Diffusion Models

A new proposal called DM-SMC (Diffusion Model - Sequential Monte Carlo) is investigated, which samples ensembles defined in terms of an action, using diffusion models trained on samples from the ensemble. The SMC setup allows for accurate sampling in spite of an approximate diffusion model and the finite stepsize used in the numerical solution of the stochastic process. Improved update strategies are also investigated. Results are presented for a $Z_2$ symmetric scalar field theory in 2 dimensions near its 2nd order phase transition.

hep-lat↗

Decomposition of the axial-vector current in a finite box

We consider the matrix element of the axial-vector current between two nucleon states in a finite box. Starting from the chiral Lagrangian density with nucleon and Delta-isobar degrees of freedom, we study the finite-volume effects at the one-loop level. We show that the standard decomposition into the axial-vector and pseudoscalar form factor is incomplete in a finite box. We derive expressions for the complete set of in-box form factors at one loop, and demonstrate how to extract the full set from lattice correlation functions. We verify that the axial Ward identity holds in the chiral limit. We derive the one-loop expressions for the pseudoscalar form factor and verify that the in-box axial Ward identity away from the chiral limit is fulfilled also. Selected numerical results are shown for two flavor-SU(2) lattice ensembles. Sizable finite-volume effects are observed, with an important role for the Delta-isobar. We discuss the implications of our results for lattice studies of the axial-vector current. We conclude that full finite-box results are crucial for a precise determination of the form factors.

hep-lat↗

A variational framework for variance reduction in lattice field theory

The signal-to-noise problem limits the reach of many lattice calculations. We present a variational framework that recasts it as a transport problem: the loss of signal reflects a mismatch between the distribution one samples and the one needed to measure an observable, and can be reduced by transporting configurations to close that gap. The optimal transport is typically determined either through a stochastic estimator based on Langevin dynamics or by parametrising it as a normalising flow trained with automatic differentiation. We discuss how the framework brings these methods under a common variational principle and present results for scalar theories.

hep-lat↗