Neural networks parametrize gauge-invariant interpolators that extract ground-state Wilson loops with improved signal-to-noise ratio compared to traditional methods while preserving gauge invariance.
Fine Structure of the QCD String Spectrum
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abstract
Using advanced lattice methods in Quantum Chromodynamics, three distinct scales are established in the excitation spectrum of the gluon field around a static quark-antiquark pair as the color source separation R is varied. On the shortest length scale, the excitations are consistent with states created by local gluon field operators arising from a multipole operator product expansion. An intermediate crossover region below 2 fm is identified with a dramatic rearrangement of the level orderings. On the largest length scale of 2-3 fm, the spectrum agrees with that expected for string-like excitations. The energies nearly reproduce asymptotic pi/R string gaps, but exhibit a fine structure, providing important clues for developing an effective bosonic string description.
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The 0+ T_bc tetraquark is predicted near the B D-bar threshold while the 1+ state appears as an S-wave resonance 23-28 MeV above the B* D-bar threshold, with masses 7.143-7.222 GeV.
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Wilson loops with neural networks
Neural networks parametrize gauge-invariant interpolators that extract ground-state Wilson loops with improved signal-to-noise ratio compared to traditional methods while preserving gauge invariance.
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The $T_{bc}$ tetraquarks near the $B\bar{D}$ threshold
The 0+ T_bc tetraquark is predicted near the B D-bar threshold while the 1+ state appears as an S-wave resonance 23-28 MeV above the B* D-bar threshold, with masses 7.143-7.222 GeV.