A morphology-independent test of the mixed polarization content of gravitational wave signals from compact binary coalescences
Katerina Chatziioannou, Maximiliano Isi, Carl-Johan Haster, Tyson B., Littenberg

TL;DR
This paper introduces a model-independent, morphology-agnostic method to detect and analyze mixed polarization modes in gravitational wave signals, enabling tests of general relativity and alternative theories.
Contribution
It presents a novel, phase-coherent, morphology-independent analysis framework for identifying tensor and nontensorial polarization components in gravitational wave data from compact binary coalescences.
Findings
Applied to GW190521 data, placing upper limits on nontensorial modes.
Demonstrated capability to characterize polarization morphology in simulated signals.
Framework is ready for use with upcoming detector network enhancements.
Abstract
Gravitational waves in general relativity contain two polarization degrees of freedom, commonly labeled plus and cross. Besides those two tensor modes, generic theories of gravity predict up to four additional polarization modes: two scalar and two vector. Detection of nontensorial modes in gravitational wave data would constitute a clean signature of physics beyond general relativity. Previous measurements have pointed to the unambiguous presence of tensor modes in gravitational waves, but the presence of additional generic nontensorial modes has not been directly tested. We propose a model-independent analysis capable of detecting and characterizing mixed tensor and nontensor components in transient gravitational wave signals, including those from compact binary coalescences. This infrastructure can constrain the presence of scalar or vector polarization modes on top of the tensor…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
