Mayawaves: Python Library for Interacting with the Einstein Toolkit and the MAYA Catalog
Deborah Ferguson, Surendra Anne, Miguel Gracia-Linares, Hector, Iglesias, Aasim Jan, Erick Martinez, Lu Lu, Filippo Meoni, Ryan Nowicki, Max, L. Trostel, Bing-Jyun Tsao, and Finny Valorz

TL;DR
Mayawaves is an open-source Python library designed to simplify the analysis and processing of numerical relativity simulation data from the Einstein Toolkit and MAYA, facilitating gravitational wave research.
Contribution
The paper introduces mayawaves, a new Python library that streamlines the analysis of complex numerical relativity simulation data, making it more accessible for researchers.
Findings
Reduces learning curve for numerical relativity analysis
Enables efficient processing of large simulation datasets
Supports exporting data for gravitational wave studies
Abstract
Numerical relativity simulations are crucial for studying black holes and have been instrumental in the detection of gravitational waves by the LVK. However, these simulations produce vast amounts of data that must be processed in order to perform studies, create models, and use them with gravitational wave detection pipelines. This paper introduces mayawaves, an open-source python library for processing, studying, and exporting numerical relativity simulations performed using the Einstein Toolkit and MAYA. Mayawaves streamlines the process of analyzing simulations with an intuitive interface, greatly reducing the learning curve for numerical relativity.
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Taxonomy
TopicsComputational Physics and Python Applications · Pulsars and Gravitational Waves Research
