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arXiv · 2308.08639

PycWB: A User-friendly, Modular, and Python-based Framework for Gravitational Wave Unmodelled Search

Yumeng Xu·Shubhanshu Tiwari·Marco Drago
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Abstract

Unmodelled searches and reconstruction is a critical aspect of gravitational wave data analysis, requiring sophisticated software tools for robust data analysis. This paper introduces PycWB, a user-friendly and modular Python-based framework developed to enhance such analyses based on the widely used unmodelled search and reconstruction algorithm Coherent Wave Burst (cWB). The main features include a transition from C++ scripts to YAML format for user-defined parameters, improved modularity, and a shift from complex class-encapsulated algorithms to compartmentalized modules. The pycWB architecture facilitates efficient dependency management, better error-checking, and the use of parallel computation for performance enhancement. Moreover, the use of Python harnesses its rich library of packages, facilitating post-production analysis and visualization. The PycWB framework is designed to improve the user experience and accelerate the development of unmodelled gravitational wave analysis.

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Yumeng Xu, Shubhanshu Tiwari, Marco Drago. 2023-08-16. PycWB: A User-friendly, Modular, and Python-based Framework for Gravitational Wave Unmodelled Search. https://doi.org/10.1016/j.softx.2024.101639

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