Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo
| Authors | |
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| Publication date | 15-04-2020 |
| Journal | Physical Review D |
| Volume | Issue number | 101 | 8 |
| Pages (from-to) | 083026 |
| Number of pages | 20 |
| Organisations |
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| Abstract |
The detection of gravitational waves (GWs) from binary black holes
(BBHs) has allowed the theory of general relativity to be tested in a
previously unstudied regime: that of strong curvature and high GW
luminosities. One distinctive and measurable effect associated with this
aspect of the theory is the nonlinear GW memory effect. The GW memory
effect is characterized by its effect on freely falling observers: the
proper distance between their locations differs before and after a burst
of GWs passes by their locations. Gravitational-wave interferometers,
like the LIGO and Virgo detectors, can measure features of this effect
from a single BBH merger, but previous work has shown that it will
require an event that is significantly more massive and closer than any
previously detected GW event. Finding evidence for the GW memory effect
within the entire population of BBH mergers detected by LIGO and Virgo
is more likely to occur sooner. A prior study has shown that the GW
memory effect could be detected in a population of BBHs consisting of
binaries like the first GW150914 event after roughly one-hundred events.
In this paper, we compute forecasts of the time it will take the
Advanced LIGO and Virgo detectors (when the detectors are operating at
their design sensitivities) to find evidence for the GW memory effect in
a population of BBHs that is consistent with the measured population of
events in the first two observing runs of the LIGO detectors. We find
that after five years of data collected by the Advanced LIGO and Virgo
detectors the signal-to-noise ratio for the nonlinear GW memory effect
in the population will be about three (near a previously used threshold
for detection). We point out that the different approximation methods
used to compute the GW memory effect can lead to notably different
signal-to-noise ratios.
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| Document type | Article |
| Note | © 2020 American Physical Society |
| Language | English |
| Related dataset | Reproduction package for paper "Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo" |
| Published at | https://doi.org/10.1103/PhysRevD.101.083026 |
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PhysRevD.101.083026
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