cff-version: 1.2.0 abstract: "<p><strong>PARAMOUNT: parallel modal analysis of large datasets</strong><br> <br> PARAMOUNT is a python package developed at University of Twente to perform modal analysis of large numerical and experimental datasets. Brief video introduction into the theory and methodology is presented <sub><a href="https://youtu.be/uz0q_TKrC84" target="_blank">here.</a></sub><br> <br> <strong>Features</strong><br> </p> <p>- Distributed processing of data on local machines or clusters using Dask Distributed<br> - Reading CSV files in glob format from specified folders<br> - Extracting relevant columns from CSV files and writing Parquet database for each specified variable<br> - Distributed computation of Proper Orthogonal Decomposition (POD)<br> - Writing U, S and V matrices into Parquet database for further analysis<br> - Visualizing POD modes and coefficients using pyplot</p> <p><br> <strong>Using </strong> <strong>PARAMOUNT</strong><br> <br> Make sure to install the dependencies by running `pip install -r requirements.txt`<br> <br> </p> <p>Refer to csv_example to see how to use PARAMOUNT to read CSV files, write the variables of interest into Parquet datasets and inspect the final datasets.<br> <br> Refer to svd_example to see how to read Parquet datasets, compute the Singular Value Decomposition, and store the results in Parquet format.<br> <br> To visualize the results you can simply read the U, S and V parquet files and your plotting tool of choice. Examples are provided in viz_example.<br> <br> <strong>Author and Acknowledgements</strong><br> <br> This package is developed by Alireza Ghasemi (<u>alireza.ghasemi@utwente.nl</u>) at University of Twente under the MAGISTER (<u>https://www.magister-itn.eu/</u>) project. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 766264.</p>" authors: - family-names: Ghasemi Khourinia given-names: Alireza orcid: "https://orcid.org/0000-0002-8177-5662" - family-names: Kok given-names: Jim title: "PARAMOUNT: parallel modal analysis of large datasets" keywords: version: 1 identifiers: - type: doi value: 10.4121/20089760.v1 license: GPL-3.0 date-released: 2022-11-28