Parameter estimation for strong phase transitions in supranuclear matter using gravitational-wave astronomy
Peter T. H. Pang, Tim Dietrich, Ingo Tews, Chris Van Den Broeck
Abstract
Using Bayesian inference techniques, this paper shows that a strong phase transition from hadronic matter to more exotic forms of matter can have a measurable imprint on the gravitational-wave signal of binary neutron-star mergers.
Topics & Concepts
PhysicsPhase transitionDark matterStatistical physicsBayesian probabilityHadronBinary numberEstimation theoryPhase (matter)InferenceParticle physicsParameter spaceBayesian inferenceSIGNAL (programming language)Model parameterBayesian statisticsTheoretical physicsDeceleration parameterElementary particleBayes' theoremCosmologyDetectorComputational physicsPulsars and Gravitational Waves ResearchGamma-ray bursts and supernovaeHigh-Energy Particle Collisions Research