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