Critical exponents in stochastic sandpile models
Alessandro Chessa, Alessandro Vespignani, Stefano Zapperi

TL;DR
This paper reports large-scale simulations of a two-dimensional stochastic sandpile model, using moments analysis and finite size scaling to accurately determine its critical exponents and large-scale behavior.
Contribution
The study introduces a comprehensive simulation approach combining moments analysis and finite size scaling to precisely characterize the critical behavior of a stochastic sandpile model.
Findings
Accurate critical exponents determined for the model
Finite size scaling confirms the universality class
Large-scale behavior characterized with high precision
Abstract
We present large scale simulations of a stochastic sandpile model in two dimensions. We use moments analysis to evaluate critical exponents and finite size scaling method to consistently test the obtained results. The general picture resulting from our analysis allows us to characterize the large scale behavior of the present model with great accuracy.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
