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Title: A Study of Gravitational Wave Memory and Its Detectability With LIGO Using Bayesian Inference
The detectable component of gravitational waves, known as the oscillatory waveform, is predicted to have a smaller, lower frequency counterpart called the memory: a permanent warping of space-time. The memory component is low-frequency (below the usual LIGO frequency band starting at 20 Hz), and low amplitude. Low frequency noise sources on earth make it difficult for ground based detectors to reach the SNR (signal to noise ratio) needed to detect this component. We use Bayesian parameter estimation on simulated events with future detector sensitivities, to determine the detector noise spectrum, event masses, and detected SNR required to detect gravitational wave memory.  more » « less
Award ID(s):
1757303
PAR ID:
10089816
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
LIGO Laboratory Summer 2018 Undergraduate Research
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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