Inferring gravitational wave polarization content without templates

The addition of further detectors in the network of ground-based gravitational wave detectors offers the possibility to test the polarization content of the detected signals. I will discuss a morphology-independent way to probe the polarization content of a signal using BayesWave, a data analysis pipeline that does not rely on compact binary waveform templates to model the observed signal. I will show how the polarization content can be used to study effects such as spin-precession. Additionally, I will describe how this data analysis framework can be generalized to incorporate polarization modes beyond the ones predicted by General Relativity and place constraints on their amplitude.