PycWB: A user-friendly, Modular, and python-based framework for gravitational wave unmodelled search

Author:

Xu YumengORCID,Tiwari ShubhanshuORCID,Drago Marco

Funder

Swiss National Science Foundation

China Scholarship Council

Ministero dell'Istruzione dell'Universita e della Ricerca

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference34 articles.

1. SWIGLAL: Python and octave interfaces to the LALSuite gravitational-wave data analysis libraries;Wette;SoftwareX,2020

2. pySEOBNR: a software package for the next generation of effective-one-body multipolar waveform models;Mihaylov,2023

3. GWSurrogate: An easy-to-use interface to gravitational wave surrogate models;Field,2018

4. BILBY: A user-friendly Bayesian inference library for gravitational-wave astronomy;Ashton;Astrophys J Suppl,2019

5. PyCBC inference: A python-based parameter estimation toolkit for compact binary coalescence signals;Biwer;Publ Astron Soc Pac,2019

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