Differences between revisions 2 and 4 (spanning 2 versions)

Introductory reading materials for GW data analysis and theory

Contents

General

"Maggiore M-Gravitational waves vol.1 Theory and Experiments-Oxford University Press (2008)" for [Data analysis and theory]
- http://gwwiki.icrr.u-tokyo.ac.jp/JGWwiki/KAGRA/KSC/EducationTraining/ReadingMaterials/DATheory
Jolien D. E. Creighton and Warren G. Anderson. Gravitational-Wave Physics and Astronomy. (Wiley-VCH)

Andrés Asensio Ramos and Íñigo Arregui. Bayesian Astrophysics. (Canary Islands Winter School of Astrophysics Book 26)
Sophocles J. Orfanidis. Introduction to Signal Processing. (Prentice Hall)
An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Publications of the Astronomical Society of Australia (2019), 36, e010, 12 pages doi:10.1017/pasa.2019.2

KAGRA/KSC/EducationTraining/ReadingMaterials/DATheory (last edited 2021-05-01 22:05:48 by KazuhiroYamamoto)

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-== Data analysis ==
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+ * Jolien D. E. Creighton and Warren G. Anderson. Gravitational-Wave Physics and Astronomy. (Wiley-VCH)

== General(data analysis) ==

 * Andrés Asensio Ramos and Íñigo Arregui. Bayesian Astrophysics. (Canary Islands Winter School of Astrophysics Book 26)
 
 * Sophocles J. Orfanidis. Introduction to Signal Processing. (Prentice Hall)

 * An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models. Publications of the Astronomical Society of Australia (2019), 36, e010, 12 pages doi:10.1017/pasa.2019.2