Efficient method for measuring the parameters encoded in a gravitational-wave signal

Carl Johan Haster*, Ilya Mandel, Will M. Farr

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Once upon a time, predictions for the accuracy of inference on gravitational-wave signals relied on computationally inexpensive but often imprecise techniques. Recently, the approach has shifted to actual inference on noisy signals with complex stochastic Bayesian methods, at the expense of significant computational cost. Here, we argue that it is often possible to have the best of both worlds: a Bayesian approach that incorporates prior information and correctly marginalizes over uninteresting parameters, providing accurate posterior probability distribution functions, but carried out on a simple grid at a low computational cost, comparable to the inexpensive predictive techniques.

Original languageEnglish
Article number235017
JournalClassical and Quantum Gravity
Issue number23
Publication statusPublished - 13 Nov 2015


  • data analysis
  • gravitational waves
  • parameter estimation

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)


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