Detection of GW190814 from the coalescence of a 23 solar-mass black hole and a 2.6 solar-mass compact object, the most unequal-mass binary yet observed with gravitational waves.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
representative citing papers
Hierarchical Bayesian inference allows accurate recovery of intrinsic astrophysical source populations even when follow-up selection is unknown and correlated with parameters of interest.
Restricting analysis to the top 1% most luminous galaxies in GW localization volumes yields 1-4 candidate hosts for three specific events, with 29-36% probability of random association.
GPU-accelerated gwcosmo enables 1000x faster dark-siren cosmological analyses for large GW catalogs.
citing papers explorer
-
GW190814: Gravitational Waves from the Coalescence of a 23 M$_\odot$ Black Hole with a 2.6 M$_\odot$ Compact Object
Detection of GW190814 from the coalescence of a 23 solar-mass black hole and a 2.6 solar-mass compact object, the most unequal-mass binary yet observed with gravitational waves.
-
What You Don't Know Won't Hurt You: Self-Consistent Hierarchical Inference with Unknown Follow-up Selection Strategies
Hierarchical Bayesian inference allows accurate recovery of intrinsic astrophysical source populations even when follow-up selection is unknown and correlated with parameters of interest.
-
Finding the one: identifying the host of compact binary mergers
Restricting analysis to the top 1% most luminous galaxies in GW localization volumes yields 1-4 candidate hosts for three specific events, with 29-36% probability of random association.
-
Scalable Dark Siren Cosmology with gwcosmo: GPU Acceleration, Validation and Systematics
GPU-accelerated gwcosmo enables 1000x faster dark-siren cosmological analyses for large GW catalogs.