Research in this field has grown considerably in recent years due to the commissioning of a world-wide network of large-scale detectors. This network collects a very large amount of data that is currently being analyzed and interpreted. This book introduces researchers entering the field, and researchers currently analyzing the data, to the field of gravitational-wave data analysis. An ideal starting point for studying the issues related to current gravitational-wave research, the book contains detailed derivations of the basic formulae related to the detectors' responses and maximum-likelihood detection. These derivations are much more complete and more pedagogical than those found in current research papers, and will enable readers to apply general statistical concepts to the analysis of gravitational-wave signals. It also discusses new ideas on devising the efficient algorithms needed to perform data analysis.
Piotr Jaranowski is an Associate Professor in the Faculty of Physics at the University of Bialystok, Poland. He has been a visiting scientist at the Max Planck Institute for Gravitational Physics and the Friedrich Schiller University, both in Germany, and the Institut des Hautes Etudes Scientifiques, France. He currently works in the field of gravitational-wave data analysis and general-relativistic problem of motion. Andrzej Krolak is a Professor in the Institute of Mathematics at the Polish Academy of Sciences, Poland. He has twice been awarded the Second Prize by the Gravity Research Foundation (once with Bernard Schutz). He has been a visiting scientist at the Max Planck Institute for Gravitational Physics, Germany, and the Jet Propulsion Laboratory, USA. His field of research is gravitational-wave theory data analysis and general theory of relativity, and the phenomena predicted by this theory such as black holes and gravitational waves.
1. Overview of the theory of gravitational radiation; 2. Astrophysical sources of gravitational waves; 3. Statistical theory of signal detection; Time series analysis; 5. Responses of detectors to gravitational waves; 6. Maximum likelihood detection in Gaussian noise; 7. Data analysis tools; Appendixes; References; Index.