5 citations · 6 across the 15 of their papers we have counts for
5 papers · 1 filter
Probing gluon saturation with forward di-hadron correlations in proton-nucleus collisions
Paul Caucal, Zhong-Bo Kang, Piotr Korcyl +5
We present a detailed numerical investigation of semi-inclusive forward di-hadron production in proton-nucleus collisions employing the Color Glass Condensate effective theory. We…
Rotating the Color Glass Condensate
Renaud Boussarie, Paul Caucal, Piotr Korcyl +1
High-energy QCD evolution beyond leading order suffers from instabilities driven by large collinear logarithms. We present a framework, consistent with the standard high-energy ope…
Estimation of the reduced density matrix and entanglement entropies using autoregressive networks
Piotr Białas, Piotr Korcyl, Tomasz Stebel +1
We present an application of autoregressive neural networks to Monte Carlo simulations of quantum spin chains using the correspondence with classical two-dimensional spin systems.…
NeuMC -- a package for neural sampling for lattice field theories
Piotr Bialas, Piotr Korcyl, Tomasz Stebel +1
We present the \texttt{NeuMC} software package, based on \pytorch, aimed at facilitating the research on neural samplers in lattice field theories. Neural samplers based on normali…
Hierarchical autoregressive neural networks in three-dimensional statistical system
Piotr Białas, Vaibhav Chahar, Piotr Korcyl +3
Autoregressive Neural Networks (ANN) have been recently proposed as a mechanism to improve the efficiency of Monte Carlo algorithms for several spin systems. The idea relies on the…