Projects per year
Abstract
The LIGO and Virgo observatories have reported 39 new gravitational-wave detections during the first part of the third observation run, bringing the total to 50. Most of these new detections are consistent with binary black-hole coalescences, making them suitable targets to search for gravitational-wave memory, a nonlinear effect of general relativity. We extend a method developed in previous publications to analyze these events to determine a Bayes factor comparing the memory hypothesis to the no-memory hypothesis. Specifically, we calculate Bayes factors using two waveform models with higher-order modes that allow us to analyze events with extreme mass ratios and precessing spins, both of which have not been possible before. Depending on the waveform model, we find a combined lnBFmem=0.024 or lnBFmem=0.049 in favor of memory. This result is consistent with recent predictions that indicate O(2000) binary black-hole detections will be required to confidently establish the presence or absence of memory.
Original language | English |
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Article number | 023004 |
Number of pages | 7 |
Journal | Physical Review D |
Volume | 104 |
Issue number | 2 |
DOIs | |
Publication status | Published - 15 Jul 2021 |
Projects
- 3 Finished
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Putting Einstein to the Test: Probing Gravity with Gravitational Waves
1/05/18 → 31/12/20
Project: Research
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Extreme astrophysics in the age of gravitational waves
Australian Research Council (ARC), Monash University
30/06/17 → 18/11/21
Project: Research
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ARC Centre of Excellence for Gravitational Wave Discovery
Bailes, M., McClelland, D. E., Levin, Y., Blair, D. G., Scott, S. M., Ottaway, D. J., Melatos, A., Veitch, P. J., Wen, L., Shaddock, D. A., Slagmolen, B. J. J., Zhao, C., Evans, R. J., Ju, L., Galloway, D., Thrane, E., Hurley, J. R., Coward, D. M., Cooke, J., Couch, W., Hobbs, G. B., Reitze, D., Rowan, S., Cai, R., Adhikari, R. X., Danzmann, K., Mavalvala, N., Kulkarni, S. R., Kramer, M., Branchesi, M., Gehrels, N., Weinstein, A. J. R., Steeghs, D., Bock, D. & Lasky, P.
Monash University – Internal University Contribution, Monash University – Internal Department Contribution
1/01/17 → 31/03/24
Project: Research