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19992025
most citedSU(N) gauge theories at large N

309 citations · 788 across the 34 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

hep-lat2024

Meson spectroscopy in the gauge theory with three antisymmetric fermions

Ed Bennett, Deog Ki Hong, Ho Hsiao +5

We report the results of an extensive numerical study of the lattice gauge theory with three (Dirac) flavors of fermion in the two-index antisymmetric representation. In th…

hep-lat2024

Progress on the spectroscopy of an Sp(4) gauge theory coupled to matter in multiple representations

Ho Hsiao, Ed Bennett, Niccolò Forzano +7

We report progress on our lattice calculations for the mass spectra of low-lying composite states in the Sp(4) gauge theory coupled to two and three flavors of Dirac fermions trans…

hep-lat2024

Towards the function of SU(2) with adjoint matter using Pauli-Villars fields

Ed Bennett, Andreas Athenodorou, Georg Bergner +2

The family of SU(2) theories with matter transforming in the adjoint representation has attracted interest from many angles. The two-flavour theory, known as Minimal Walking Techni…

hep-lat2024

Progress on the spectroscopy of lattice gauge theories using spectral densities

Ed Bennett, Luigi Del Debbio, Niccolò Forzano +10

Spectral densities encode non-perturbative information crucial in computing physical observables in strongly coupled field theories. Using lattice gauge theory data, we perform a s…

hep-lat2024

Progress on pseudoscalar flavour-singlets in Sp(4) with mixed fermion representations

Fabian Zierler, Ed Bennett, Niccolò Forzano +7

We measure the masses of the pseudoscalar flavour-singlet meson states in the gauge theory coupled to two Dirac fermions transforming in the fundamental representation and…

hep-lat2024

The density of states method for symplectic gauge theories at finite temperature

Ed Bennett, Biagio Lucini, David Mason +3

We study the finite-temperature behaviour of the Yang-Mills lattice theory in four dimensions, by applying the Logarithmic Linear Relaxation (LLR) algorithm. We demonstrate…