Journal article

BayesWave analysis pipeline in the era of gravitational wave observations

Neil J Cornish, Tyson B Littenberg, Bence Becsy, Katerina Chatziioannou, James A Clark, Sudarshan Ghonge, Margaret Millhouse

Physical Review D | AMER PHYSICAL SOC | Published : 2021

Abstract

We describe updates and improvements to the BayesWave gravitational wave transient analysis pipeline, and provide examples of how the algorithm is used to analyze data from ground-based gravitational wave detectors. BayesWave models gravitational wave signals in a morphology-independent manner through a sum of frame functions, such as Morlet-Gabor wavelets or chirplets. BayesWave models the instrument noise using a combination of a parametrized Gaussian noise component and nonstationary and non-Gaussian noise transients. Both the signal model and noise model employ trans-dimensional sampling, with the complexity of the model adapting to the requirements of the data. The flexibility of the al..

View full abstract

University of Melbourne Researchers

Grants

Awarded by NSF


Awarded by National Science Foundation


Awarded by Open Science Grid - National Science Foundation


Awarded by Australian Research Council Centre of Excellence for Gravitational Wave Discovery (OzGrav)


Funding Acknowledgements

This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center [45], a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. LIGO is funded by the U.S. National Science Foundation. Virgo is funded by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by Polish and Hungarian institutes. N. J. C. and B. B. acknowledge the support of NSF Grants No. PHY1607343 and No. PHY1912053. The authors are grateful for computational resources provided by the LIGO Laboratory and supported by National Science Foundation Grants No. PHY-0757058 and No. PHY-0823459, and for resources provided by the Open Science Grid [46,47], which is supported by the National Science Foundation Grant No. 1148698, and the U.S. Department of Energy's Office of Science. The Flatiron Institute is supported by the Simons Foundation. The J. A. C. and S. G. gratefully acknowledge the NSF for financial support from Grants No. PHY 1806580, No. PHY 1809572, and No. TG-PHY120016. Parts of this research were conducted by the Australian Research Council Centre of Excellence for Gravitational Wave Discovery (OzGrav), through Project No. CE170100004.