Issues in gravitational wave data analysis
Lee Samuel Finn
Abstract
Data analysis is the application of probability and statistics to draw inference from observation. Is a signal present or absent? Is the source an inspiraling binary system or a supernova? At what point in the sky is the radiation incident from? In these notes I want to address how two different statistical methodologies --- Bayesian and Frequentist --- approach the problem of statistical inference
Create a lesson
Related papers
Multimessenger astrophysics drives the case for an Australian Gravitational-Wave observatory
Fiona H. Panther, Paul D. Lasky, Nikhil Sarin
Binary black hole mergers in massive Einstein-scalar-Gauss-Bonnet gravity
Harry L. H. Shum, Llibert Aresté Saló, Miguel Bezares et al.
Noisy pipelines II: Non-parametric Noise Inference for LISA
Charlie Hoy, Joseph Bayley, Ollie Burke et al.
Quasi-Normal Modes of Covariant Loop Quantum Black Holes
Chao Zhang, Sushant G. Ghosh, Anzhong Wang
Kerr metric perturbations for second-order self-force theory
Benjamin Leather, Samuel D. Upton, Patrick Bourg et al.
Multi-domain spectral method for Kerr spacetimes: a hyperboloidal Teukolsky m-mode solver for self-force computations
Brad Cownden, Rodrigo Panosso Macedo, Christiana Pantelidou et al.