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Improving the signal-to-noise ratio in quantum chromodynamics simulations (Vol. 50, No. 5-6)

Improving the signal-to-noise ratio in quantum chromodynamics simulations
Fermions - the class of particle that this technique can be used to model- include the particles that make up 'ordinary' matter (protons, neutrons and electrons).

A new Monte Carlo based simulation method enables more precise simulation for ensembles of elementary particles.

Over the last few decades, the exponential increase in computer power and accompanying increase in the quality of algorithms has enabled theoretical and particle physicists to perform more complex and precise simulations of fundamental particles and their interactions. If you increase the number of lattice points in a simulation, it becomes harder to tell the difference between the observed result of the simulation and the surrounding noise. A new study recently published in EPJ Plus, describes a technique for simulating particle ensembles that are 'large' (at least by the standards of particle physics). This improves the signal-to-noise ratio and thus the precision of the simulation; crucially, it also can be used to model ensembles of baryons: a category of elementary particles that includes the protons and neutrons that make up atomic nuclei.

M. Cè, Locality and multi-level sampling with fermions. Eur. Phys. J. Plus 134, 299 (2019)
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