Compare theory and experiment at finite smearing to test the Standard Model with lattice QCD
This paper proposes a practical way to test the Standard Model when intermediate hadrons (bound states of quarks) affect a process. The auth
This paper proposes a practical way to test the Standard Model when intermediate hadrons (bound states of quarks) affect a process. The authors focus on quantities where the key theoretical object is a spectral density. A spectral density is a function that encodes how different intermediate states contribute as a function of energy. Lattice QCD (quantum chromodynamics on a spacetime grid) can reconstruct a smeared version of that spectral density. But reaching the true physical limit requires making the smearing very narrow, which is extremely costly in current simulations.
The central idea is to compare experiment and theory at the same nonzero smearing width, instead of forcing lattice calculations to remove the smearing entirely. On the theory side, spectral-reconstruction techniques give an energy-smeared spectral density that can be computed with controlled errors after taking the continuum and infinite-volume limits. On the experimental side, measured decay rates or cross sections can be smeared with the same kernel and width. If both sides are compared at finite width, one can perform meaningful Standard Model (SM) tests without relying on an extrapolation to zero width that is hard to control.
Why is the zero-width limit hard? The physical amplitude is recovered when the smearing width epsilon goes to zero. Controlled extrapolation to epsilon→0 needs two competing conditions. The smearing must be broad enough to cover the discrete energy peaks that appear in a finite-volume lattice. This requires epsilon ≫ 1/L, where L is the lattice size. At the same time the smearing must be much smaller than any energy interval where the spectral density changes quickly. This is expressed as epsilon ≪ |Δ(x)| for a logarithmic derivative Δ(x). Meeting both conditions can force lattice volumes to be very large. For example, earlier estimates indicate one may need Mπ L ≈ 10–20, which is computationally prohibitive (Mπ is the pion mass times the lattice size).