Fine-grained domain counting and percolation analysis in two-dimensional lattice systems with linked lists.

Autor: Sable H; Physical Research Laboratory, Ahmedabad 380009, Gujarat, India.; Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar 382355, Gujarat, India.; Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, USA., Gaur D; Physical Research Laboratory, Ahmedabad 380009, Gujarat, India.; Indian Institute of Technology Gandhinagar, Palaj, Gandhinagar 382355, Gujarat, India., Angom D; Physical Research Laboratory, Ahmedabad 380009, Gujarat, India.; Department of Physics, Manipur University, Canchipur 795003, Manipur, India.
Jazyk: angličtina
Zdroj: Physical review. E [Phys Rev E] 2023 Oct; Vol. 108 (4-2), pp. 045307.
DOI: 10.1103/PhysRevE.108.045307
Abstrakt: We present a fine-grained approach to identify clusters and perform percolation analysis in a two-dimensional (2D) lattice system. In our approach, we develop an algorithm based on the linked-list data structure whereby the members of a cluster are nodes of a path. This path is mapped to a linked-list. This approach facilitates unique cluster labeling in a lattice with a single scan. We use the algorithm to determine the critical exponent in the quench dynamics from the Mott insulator to the superfluid phase of bosons in 2D square optical lattices. The results obtained are consistent with the Kibble-Zurek mechanism. We also employ the algorithm to compute the correlation length using definitions based on percolation theory and use it to identify the quantum critical point of the Bose Glass to superfluid transition in the disordered 2D square optical lattices. In addition, we compute the critical exponent ν which quantify the divergence of the correlation length ξ across the phase transition and the fractal dimension of the hulls of the superfluid clusters.
Databáze: MEDLINE