activity
20142025
most citedDetection of phase transition via convolutional neural network

166 citations · 857 across the 45 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

hep-lat2021

Correlated Dirac Eigenvalues and Axial Anomaly in Chiral Symmetric QCD

Heng-Tong Ding, Sheng-Tai Li, Swagato Mukherjee +3

We investigate the Dirac eigenvalue spectrum () to study the microscopic origin of axial anomaly in high temperature phase of QCD. We propose novel relations between the…

cs.LG2021

HMC with Normalizing Flows

Sam Foreman, Taku Izubuchi, Luchang Jin +3

We propose using Normalizing Flows as a trainable kernel within the molecular dynamics update of Hamiltonian Monte Carlo (HMC). By learning (invertible) transformations that simpli…

hep-ph2021★ 1 cited

QCD knows new quarks

Chuan-Xin Cui, Hiroyuki Ishida, Mamiya Kawaguchi +3

We find that a big gap between indicators for the breaking strengths of the global chiral SU(2) and U(1) axial symmetries in QCD of the Standard Model (SM) can be interpreted as a…

hep-ph2021★ 10 cited

New interpretation of chiral phase transition: Violation of trilemma in QCD

Chuan-Xin Cui, Jin-Yang Li, Shinya Matsuzaki +2

We find that the chiral phase transition (chiral crossover) in QCD at physical point is triggered by big imbalance among three fundamental quantities essential for the QCD vacuum s…

hep-lat2021★ 6 cited

Gauge covariant neural network for quarks and gluons

Yuki Nagai, Akio Tomiya

We propose gauge-covariant neural networks along with a specialized training algorithm for lattice QCD, designed to handle realistic quarks and gluons in four-dimensional space-tim…

hep-ph2021★ 7 cited

Detecting scale anomaly in chiral phase transition of QCD: new critical endpoint pinned down

Mamiya Kawaguchi, Shinya Matsuzaki, Akio Tomiya

Violation of scale symmetry, scale anomaly, being a radical concept in quantum field theory, is of importance to comprehend the vacuum structure of QCD, and should potentially cont…