Inferring the gravitational wave memory for binary coalescence events
Neev Khera, Badri Krishnan, Abhay Ashtekar, Tommaso De Lorenzo

TL;DR
This paper calculates and compares the posterior probability distributions of gravitational wave memory for binary black hole mergers, highlighting potential systematic errors and the utility of memory as a diagnostic tool for waveform accuracy.
Contribution
It presents the first posterior distributions of gravitational wave memory for GWTC-1 events using multiple waveform models, revealing discrepancies and potential sources of systematic errors.
Findings
Good agreement between Phenomenological and EOB waveform posteriors
Discrepancies found in the $ ext{l}=2, ext{m}=1$ mode of memory
Memory distributions can diagnose waveform modeling errors
Abstract
Full, non-linear general relativity predicts a memory effect for gravitational waves. For compact binary coalescence, the total gravitational memory serves as an inferred observable, conceptually on the same footing as the mass and the spin of the final black hole. Given candidate waveforms for any LIGO event, then, one can calculate the posterior probability distribution functions for the total gravitational memory, and use them to compare and contrast the waveforms. In this paper we present these posterior distributions for the binary black hole merger events reported in the first Gravitational Wave Transient Catalog (GWTC-1), using the Phenomenological and Effective-One-Body waveforms. On the whole, the two sets of posterior distributions agree with each other quite well though we find larger discrepancies for the mode of the memory. This signals a possible source of…
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