A frustrated Z6 clock chain has decoupled Ising-Potts multicritical points and a terminating Z6 parafermion multicritical point far from integrability.
autoScale.py - A program for automatic finite-size scaling analyses: A user's guide
4 Pith papers cite this work. Polarity classification is still indexing.
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abstract
autoScale.py is a program that performs an automatic finite-size scaling analysis for given sets of simulated data. It implements a quite general scaling assumption and optimizes an initial set of scaling parameters that enforce a data collapse of the different data sets. The presented guide describes how the program works, it presents a detailed example and finally gives some hints on how to improve the results of a scaling analysis.
verdicts
UNVERDICTED 4representative citing papers
Reset-induced entanglement phase transitions in measurement-free random quantum circuits are continuous for d=2 with second-order characteristics, unlike large-d classical expectations.
Numerical study of the Kane-Mele-Hubbard-Rashba model reveals ordinary, special BKT-type, and extraordinary boundary transitions enriched by topological edge states.
Under hub-preferential node removal, networks can match a scale-free degree distribution by KL divergence yet fail finite-size scaling collapse, showing the two tests capture complementary aspects of structural degradation.
citing papers explorer
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Parafermionic and decoupled multicritical points in a frustrated $\mathbb{Z}_6$ clock chain
A frustrated Z6 clock chain has decoupled Ising-Potts multicritical points and a terminating Z6 parafermion multicritical point far from integrability.
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Continuous Reset-Induced Phase Transition in Measurement-Free Random Quantum Circuits
Reset-induced entanglement phase transitions in measurement-free random quantum circuits are continuous for d=2 with second-order characteristics, unlike large-d classical expectations.
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Boundary criticality in two-dimensional interacting topological insulators
Numerical study of the Kane-Mele-Hubbard-Rashba model reveals ordinary, special BKT-type, and extraordinary boundary transitions enriched by topological edge states.
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Scale-freeness under node removal: a finite-size scaling perspective
Under hub-preferential node removal, networks can match a scale-free degree distribution by KL divergence yet fail finite-size scaling collapse, showing the two tests capture complementary aspects of structural degradation.