Replication Data and Scripts for paper: The Asymptotic State of Decaying Turbulence

Replication Data and Scripts for paper: The Asymptotic State of Decaying Turbulence This repository contains the processed datasets, analysis scripts, and figure-generation code needed to reproduce the results in: Title: The Asymptotic State of Decaying Turbulence Authors: Akash Rodhiya, Katepalli R. Sreenivasan Journal: Philosophical Transactions A Year: 2025 DOI: 10.1098/rsta.2025.0021 Repository Structure ├── data/ # Processed binary data files used for plotting (.npy)├── figures/ # Output directory for generated figures├── scripts/ # Analysis and figure-generation scripts (Python)├── requirements.txt # Dependency file├── LICENSE # License file└── README.md # This file To run the scripts in this repository, you will need Python 3. It is recommended to create a virtual environment. The core dependencies are listed in requirements.txt. To regenerate the figures found in the manuscript, follow these steps: Download and extract the dataset and scripts Install dependencies: pip install -r requirements.txt Generate Figures: Scripts are named according to the figure number from the paper. Output: The resulting plots will be saved in the figures/ directory. Data Description The data/ folder contains processed statistics derived from direct numerical simulations (DNS) of decaying turbulence. Note: Due to size constraints, the raw 3D flow fields are not included here. File Format: Data is stored in binary format (.npy) If you require access to the full raw simulation data, please contact us via email. Contact For any questions regarding the code or data, please contact: Akash Rodhiya - akashrodhiya10[at]gmail.com### 论文《衰减湍流的渐近状态》复现数据与配套脚本 本仓库包含复现下述论文结果所需的处理后数据集、分析脚本与绘图代码： #### 论文基本信息 标题：《衰减湍流的渐近状态》 作者：Akash Rodhiya、Katepalli R. Sreenivasan 发表期刊：Philosophical Transactions A 发表年份：2025 DOI：10.1098/rsta.2025.0021 #### 仓库目录结构 ├── data/ # 用于绘图的处理后二进制数据文件（.npy格式） ├── figures/ # 生成图像的输出目录 ├── scripts/ # 分析与绘图Python脚本 ├── requirements.txt # 依赖声明文件 ├── LICENSE # 许可证文件 └── README.md # 本说明文件 #### 运行指南 如需运行本仓库中的脚本，需预先安装Python 3，建议创建虚拟环境。核心依赖已列于requirements.txt文件中。若需复现论文中的插图，请遵循以下步骤： 1. 下载并解压数据集与配套脚本 2. 安装依赖：执行命令 `pip install -r requirements.txt` 3. 生成图像：脚本命名与论文中的图号一一对应 4. 结果输出：生成的绘图文件将保存至figures/目录 #### 数据说明 data/文件夹内包含从衰减湍流直接数值模拟（DNS, Direct Numerical Simulation）中导出的处理后统计数据。 注意：受存储容量限制，本仓库未包含原始三维流场数据。 文件格式：数据以二进制格式存储（.npy格式）。 若需获取完整的原始模拟数据，请通过邮件联系我们。 #### 联系方式 如有关于代码或数据的任何疑问，请联系：Akash Rodhiya - akashrodhiya10[at]gmail.com