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Dynamic Normalization for Compact Binary Coalescence Searches in Non-Stationary Noise

MPS-Authors
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Kumar,  S.
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Nitz,  A. H.
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Dent,  T.
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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2002.09407.pdf
(Preprint), 524KB

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Citation

Mozzon, S., Nuttall, L. K., Lundgren, A., Kumar, S., Nitz, A. H., & Dent, T. (2020). Dynamic Normalization for Compact Binary Coalescence Searches in Non-Stationary Noise. Classical and Quantum Gravity, Volume 37, Number 21, 37(21): 215014. doi:10.1088/1361-6382/abac6c.


Cite as: http://hdl.handle.net/21.11116/0000-0005-DEF8-A
Abstract
The output of gravitational-wave interferometers, such as LIGO and Virgo, can be highly non-stationary. Broadband detector noise can affect the detector sensitivity on the order of tens of seconds. Gravitational-wave transient searches, such as those for colliding black holes, estimate this noise in order to identify gravitational-wave events. During times of non-stationarity we see a higher rate of false events being reported. To accurately separate signal from noise, it is imperative to incorporate the changing detector state into gravitational-wave searches. We develop a new statistic which estimates the variation of the interferometric detector noise. We use this statistic to re-rank candidate events identified during LIGO-Virgo's second observing run by the PyCBC search pipeline. This results in a 7% improvement in the sensitivity volume for low mass binaries, particularly binary neutron stars mergers.