PycWB: A User-friendly, Modular, and Python-based Framework for Gravitational Wave Unmodelled Search
| Autor: | Xu, Yumeng, Tiwari, Shubhanshu, Drago, Marco |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | SoftwareX Volume 26, May 2024, 101639 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1016/j.softx.2024.101639 |
| Popis: | 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. Comment: 16 pages, 4 figures |
| Databáze: | arXiv |
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