This chapter introduces the ideas used in gravitational-wave data analysis, starting from matched filtering and building up to Bayesian inference analysis, which demonstrates key concepts like the signal-to-noise ratio.
This chapter introduces the ideas used in gravitational-wave data analysis, starting from matched filtering and building up to Bayesian inference analysis. Key concepts like the signal-to-noise ratio are defined and their use in actual searches is demonstrated by examples.