Metadata-Version: 2.1
Name: pyloggrid
Version: 2.3.1
Summary: A python library to perform simulations on logarithmic lattices
Home-page: https://drf-gitlab.cea.fr/amaury.barral/log-grid
License: GPLv3
Author: Amaury Barral
Author-email: amaury.barral@protonmail.com
Requires-Python: >=3.9,<3.12
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: cython (>=3.0.4,<4.0.0)
Requires-Dist: h5py (>=3.8.0,<4.0.0)
Requires-Dist: imageio (>=2.28.1,<3.0.0)
Requires-Dist: imageio-ffmpeg (>=0.4.8,<0.5.0)
Requires-Dist: joblib (>=1.2.0,<2.0.0)
Requires-Dist: matplotlib (>=3.8.0,<4.0.0)
Requires-Dist: numpy (>=1.26.1,<2.0.0)
Requires-Dist: orjson (>=3.8.11,<4.0.0)
Requires-Dist: pyqt6 (>=6.5.3,<7.0.0)
Requires-Dist: rkstiff (>=0.3.0,<0.4.0)
Requires-Dist: scienceplots (>=2.0.1,<3.0.0)
Requires-Dist: scipy (>=1.11.2,<2.0.0)
Project-URL: Documentation, https://pyloggrid.readthedocs.io/
Project-URL: Repository, https://drf-gitlab.cea.fr/amaury.barral/log-grid
Description-Content-Type: text/markdown

PyLogGrid is a Python-based framework for running and analyzing numerical simulations on [log-lattices [1]](https://www.doi.org/10.1088/1361-6544/abef73). The log-lattice structure is particularly useful for modeling phenomena that exhibit multi-scale behavior, such as turbulence. PyLogGrid is designed to be flexible, customizable, and easy to use.

This framework has been used in several scientific papers such as [[2]](https://www.doi.org/10.1017/jfm.2023.204), [[3]](https://www.doi.org/10.1103/PhysRevE.107.065106).

The framework includes a variety of built-in tools for analyzing simulation results, including visualization tools and post-processing scripts.

### References:

**[1]** Campolina, C. S., & Mailybaev, A. A. (2021). Fluid dynamics on logarithmic lattices. Nonlinearity, 34(7), 4684. doi:10.1088/1361-6544/abef73

**[2]** Barral, A., & Dubrulle, B. (2023). Asymptotic ultimate regime of homogeneous Rayleigh–Bénard convection on logarithmic lattices. Journal of Fluid Mechanics, 962, A2. doi:10.1017/jfm.2023.204

**[3]** Costa, G., Barral, A., & Dubrulle, B. (2023). Reversible Navier-Stokes equation on logarithmic lattices. Physical Review E, 107(6), 065106. doi:10.1103/PhysRevE.107.065106

