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PycWB: A User-friendly, Modular, and Python-based Framework for Gravitational Wave Unmodelled Search. (arXiv:2308.08639v1 [gr-qc])

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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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