Testing new methods within RIFT for parameter inference of gravitational waves from NS binaries

The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a framework for efficient, highly-parallelized parameter inference for GW sources, including binary neutron stars. In this talk, I will explain new developments for the RIFT pipeline to improve the efficiency and reduce the latency of inference, including tests on BNS sources. I also comment on systematic differences that arise when different waveform models are used for inference for BNS systems.