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[ascl:2311.013] pygwb: Lighweight python stochastic GWB analysis pipeline
Renzini, Arianna I.; Romero-Rodríguez, Alba; Talbot, Colm; Lalleman, Max; Kandhasamy, Shivaraj; Turbang, Kevin; Biscoveanu, Sylvia; Martinovic, Katarina; Meyers, Patrick; Tsukada, Leo; Janssens, Kamiel; Davis, Derek; Matas, Andrew; Charlton, Philip; Liu, Guo-Chin; Dvorkin, Irina; Banagiri, Sharan; Bose, Sukanta; Callister, Thomas; De Lillo, Federico; D'Onofrio, Luca; Garufi, Fabio; Harry, Gregg; Lawrence, Jessica; Mandic, Vuk; Macquet, Adrian; Michaloliakos, Ioannis; Mitra, Sanjit; Pham, Kiet; Poggiani, Rosa; Regimbau, Tania; Romano, Joseph D.; van Remortel, Nick; Zhong, Haowen

pygwb analyzes laser interferometer data and designs a gravitational wave background (GWB) search pipeline. Its modular and flexible codebase is tailored to current ground-based interferometers such as LIGO Hanford, LIGO Livingston, and Virgo, but can be generalized to other configurations. It is based on GWpy (ascl:1912.016) and bilby (ascl:1901.011) for optimal integration with widely-used gravitational wave data analysis tools. pygwb also includes a set of scripts to analyze data and perform large-scale searches on a high-performance computing cluster efficiently.