Can gravitational-wave memory help constrain binary black-hole parameters? A LISA case study
Silvia Gasparotto, Rodrigo Vicente, Diego Blas, Alexander C. Jenkins,, Enrico Barausse

TL;DR
This study investigates how gravitational-wave memory effects can improve parameter estimation for massive binary black holes with LISA, finding limited but promising benefits for testing general relativity.
Contribution
It demonstrates that nonlinear memory can reduce parameter degeneracies in short-duration LISA signals, providing new insights into black hole binary characterization.
Findings
Memory helps reduce distance-inclination degeneracy in short signals.
Forecasts suggest tens to hundreds of binaries with observable memory.
Limited number (~0.1 per 4 years) where memory significantly improves parameter constraints.
Abstract
Besides the transient effect, the passage of a gravitational wave also causes a persistent displacement in the relative position of an interferometer's test masses through the \emph{nonlinear memory effect}. This effect is generated by the gravitational backreaction of the waves themselves, and encodes additional information about the source. In this work, we explore the implications of using this information for the parameter estimation of massive binary black holes with LISA. Based on a Fisher analysis for nonprecessing black hole binaries, our results show that the memory can help to reduce the degeneracy between the luminosity distance and the inclination for binaries observed only for a short time (~few hours) before merger. To assess how many such short signals will be detected, we utilized state-of-the-art predictions for the population of massive black hole binaries and…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Numerical methods for differential equations · Astrophysical Phenomena and Observations
