Building flexible, but not too flexible, models of gravitational wave data

November 15, 2021
Recorded 15 November 2021. Tyson Littenberg of the NASA - Marshall Space Flight Center presents "Building flexible, but not too flexible, models of gravitational wave data" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy. Abstract: Gravitational wave (GW) data analysis can be largely summarized as “comparing a model to the data.” The theoretical assumptions of data models at the foundation of GW analyses are not fully realized in observational data. To compensate, phenomenological models that parsimoniously fit realistic features in the data were developed to reduce biases that may otherwise be present in inferences of GW transients observed by the LIGO-Virgo detectors. This talk will summarize the motivations behind developing these models, the ingredients that make them adaptable to real life data, the algorithms used to prevent overfitting the data, examples of the flexible models at work, and a future outlook as the capabilities of the detectors continues to improve. Learn more online at: