Robust parameter estimation within minutes on gravitational wave signals from binary neutron star inspirals

Understand

The gravitational waves emitted by binary neutron star inspirals contain information on nuclear matter above saturation density.

• However, extracting this information and conducting parameter estimation remains a computationally challenging and expensive task.
• Wong et al.
• introduced Jim arXiv:2302.05333, a parameter estimation pipeline that combines relative binning and jax features such as hardware acceleration and automatic differentiation into a normalizing flow-enhanced sampler for gravitational waves from binary black hole (BBH) mergers.