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hep-lat2023
Extraction of lattice QCD spectral densities from an ensemble of trained machines
Michele Buzzicotti, Alessandro De Santis, Nazario Tantalo
In this talk we discuss a novel method, that we have presented in Ref. [1], to extract hadronic spectral densities from lattice correlators by using deep learning techniques. Hadro…
hep-lat2023★ 1 cited
Teaching to extract spectral densities from lattice correlators to a broad audience of learning-machines
Michele Buzzicotti, Alessandro De Santis, Nazario Tantalo
We present a new supervised deep-learning approach to the problem of the extraction of smeared spectral densities from Euclidean lattice correlators. A distinctive feature of our m…