Repository for: "Extreme statistic and extreme events in dynamical models of turbulence"

This repository contains underlying data, post-processing scripts and figure scripts, corresponding to the article "Extreme statistic and extreme events in dynamical models of turbulence", X.M. de Wit, G. Ortali, A. Corbetta, A.A. Mailybaev, L. Biferale, F. Toschi, 2024, Phys. Rev. E 109 (5), 055106. Data Raw data of the obtained moments and histogram of the structure function are provided in 'PRODUCTION/STAT_RUNS/' and 'VALIDATION/STAT_RUNS/' respectively for the production runs and validation runs. Post-processing Various post-processing routines for e.g. the computation of the anomalous scaling exponents are provided in the Jupyter notebooks 'PROD_process.ipynb' and 'VALI_*_process.ipynb' respectively for the production runs and validation runs. The computation of the singularity spectrum is provided in 'PROD_singularity_spec.ipynb'. Figures Reproduction of the figures as appearing in the paper can be done using the corresponding Jupyter notebooks labeled as 'PAPER_*.ipynb'.本仓库包含与论文《湍流动力学模型中的极端统计与极端事件（Extreme statistic and extreme events in dynamical models of turbulence）》（作者：X.M. de Wit、G. Ortali、A. Corbetta、A.A. Mailybaev、L. Biferale、F. Toschi，2024年发表于《物理评论E辑（Physical Review E）》109(5)，文章编号055106）配套的基础数据、后处理脚本与绘图脚本。 数据 针对实验组运行（production runs）与验证组运行（validation runs），结构函数（structure function）的矩原始数据与直方图原始数据分别存储于`PRODUCTION/STAT_RUNS/`与`VALIDATION/STAT_RUNS/`路径下。 后处理 各类后处理程序（含反常标度指数（anomalous scaling exponents）的计算代码）分别存放于针对实验组运行的Jupyter笔记本`PROD_process.ipynb`，以及针对验证组运行的`VALI_*_process.ipynb`系列笔记本。奇点谱（singularity spectrum）的计算代码则存放于`PROD_singularity_spec.ipynb`。 绘图 可通过命名格式为`PAPER_*.ipynb`的对应Jupyter笔记本复现论文中的全部图表。