The Memory Remains (Undetected): Updates from the Second LIGO/Virgo Gravitational-Wave Transient Catalog. (arXiv:2105.02879v1 [gr-qc])
<a href="http://arxiv.org/find/gr-qc/1/au:+Hubner_M/0/1/0/all/0/1">Moritz H&#xfc;bner</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Lasky_P/0/1/0/all/0/1">Paul Lasky</a>, <a href="http://arxiv.org/find/gr-qc/1/au:+Thrane_E/0/1/0/all/0/1">Eric Thrane</a>

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 non-linear effect of general relativity. We extend a method developed
in previous publications to analyse 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 analyse 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 $ln mathrm{BF}_{mathrm{mem}} = 0.024$ or $ln
mathrm{BF}_{mathrm{mem}} = 0.049$ in favour of memory. This result is
consistent with recent predictions that indicate $mathcal{O}(2000)$ binary
black-hole detections will be required to confidently establish the presence or
absence of memory.

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 non-linear effect of general relativity. We extend a method developed
in previous publications to analyse 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 analyse 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 $ln mathrm{BF}_{mathrm{mem}} = 0.024$ or $ln
mathrm{BF}_{mathrm{mem}} = 0.049$ in favour of memory. This result is
consistent with recent predictions that indicate $mathcal{O}(2000)$ binary
black-hole detections will be required to confidently establish the presence or
absence of memory.

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