Improving Detection of Gravitational wave Microlensing Using Repeated Signals Induced by Strong Lensing

Abstract

Microlensing imprints by typical stellar mass lenses on gravitational waves are challenging to identify in the LIGO and Virgo frequency band because such effects are weak. However, stellar mass lenses are generally embedded in lens galaxies such that strong lensing accompanies microlensing. Therefore, events that are strongly lensed in addition to being microlensed may significantly improve the inference of the latter. We present a proof of principle demonstration of how one can use parameter estimation results from one strongly lensed signal to enhance the inference of the microlensing effects of the other signal with the Bayesian inference method currently used in gravitational wave astronomy. We expect this to significantly enhance our future ability to detect the weak imprints from stellar mass objects on gravitational-wave signals from colliding compact objects.

8 pages, 5 figures, presented at TAUP 2021

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• Detectability of microlensed gravitational waves
• Ordering the confusion: A study of the impact of lens models on gravitational-wave lensing detection capabilities
• Unveiling Microlensing Biases in Testing General Relativity with Gravitational Waves
• Multi-messenger Gravitational Lensing
• Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2
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• False positives for gravitational lensing: the gravitational-wave perspective
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• Probing Binary Lens Caustics with Gravitational Waves: A Uniform Approximation Approach
• Surrogate modeling of gravitational waves microlensed by spherically symmetric potentials
• Probing cosmic strings via gravitational-wave lensing
• Efficient Evaluation of Gravitational Lensing Amplification Factors: A Deep Learning Framework