Journal article
Adaptive cancellation of mains power interference in continuous gravitational wave searches with a hidden Markov model
T Kimpson, S Suvorova, H Middleton, C Liu, A Melatos, R Evans, W Moran
Physical Review D | AMER PHYSICAL SOC | Published : 2024
Abstract
Continuous gravitational wave searches with terrestrial, long-baseline interferometers are hampered by long-lived, narrow band features in the power spectral density of the detector noise, known as lines. Candidate gravitational wave signals which overlap spectrally with known lines are typically vetoed. Here we demonstrate a line subtraction method based on adaptive noise cancellation, using a recursive least squares algorithm, a common approach in electrical engineering applications such as audio and biomedical signal processing. We validate the line subtraction method by combining it with a hidden Markov model (HMM), a standard continuous wave search tool, to detect an injected continuous..
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Grants
Awarded by National Stroke Foundation
Funding Acknowledgements
This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation. This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center [43] , 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. This research also made use of LIGO Data Grid clusters at the California Institute of Technology. This paper has been assigned LIGO DCC No. P2300372. This research was supported by the Australian Research Council (ARC) Centre of Excellence for Gravitational Wave Discovery (OzGrav) , Grant No. CE170100004, and ARC Discovery Project No. DP170103625. H. M. acknowledges support from the UK Space Agency (Grants No. ST/Y004922/1, No. ST/V002813/1, and No. ST/X002071/1) .