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Testing Gravitational Memory Generation with Compact Binary Mergers.

Huan Yang^1,2, Denis Martynov^3,4

¹Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L2Y5, Canada.

Physical Review Letters

|September 1, 2018

Summary

This summary is machine-generated.

Gravitational memory, a General Relativity prediction, can be tested using binary black hole mergers. Future detectors will distinguish between real gravitational memory and random distributions.

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Area of Science:

Astrophysics
General Relativity
Gravitational Waves

Background:

Gravitational memory is a key prediction of General Relativity.
It is linked to asymptotic symmetries and the soft graviton theorem.
The distribution of energy and angular momentum from astronomical events determines the memory effect.

Purpose of the Study:

To test the relationship between energy emission and gravitational memory from binary black hole mergers using Advanced LIGO/Virgo data.
To explore the detectability of gravitational memory from binary neutron star mergers with future detectors.
To differentiate between neutron star equations of state by measuring gravitational memory.

Main Methods:

Analyzing data from binary black hole merger events detected by Advanced LIGO/Virgo.
Developing a phenomenological model for gravitational memory waveforms from binary neutron star mergers.
Simulating detection capabilities for third-generation gravitational wave detector networks.

Main Results:

Advanced LIGO/Virgo data currently makes testing gravitational memory challenging.
A third-generation detector network can effectively rule out isotropic memory distribution hypotheses.
Gravitational memory from neutron star mergers is potentially detectable with future instruments.

Conclusions:

Testing gravitational memory from binary black hole mergers is feasible with next-generation detectors.
Gravitational wave astronomy offers a path to probe fundamental physics and astrophysics.
Measuring gravitational memory from neutron star mergers could reveal insights into their internal structure.