Asteroseismic Data Analysis : : Foundations and Techniques / / Sarbani Basu, William J. Chaplin.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press Complete eBook-Package 2017
• VerfasserIn: Basu, Sarbani,; Chaplin, William J.,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2017]; ©2018
• Year of Publication: 2017
• Language: English
• Series: Princeton Series in Modern Observational Astronomy ; 4
• Physical Description: 1 online resource (352 p.) :; 159 line illus. 2 tables.

Studies of stars and stellar populations, and the discovery and characterization of exoplanets, are being revolutionized by new satellite and telescope observations of unprecedented quality and scope. Some of the most significant advances have been in the field of asteroseismology, the study of stars by observation of their oscillations. Asteroseismic Data Analysis gives a comprehensive technical introduction to this discipline. This book not only helps students and researchers learn about asteroseismology; it also serves as an essential instruction manual for those entering the field.The book presents readers with the foundational techniques used in the analysis and interpretation of asteroseismic data on cool stars that show solar-like oscillations. The techniques have been refined, and in some cases developed, to analyze asteroseismic data collected by the NASA Kepler mission. Topics range from the analysis of time-series observations to extract seismic data for stars to the use of those data to determine global and internal properties of the stars. Reading lists and problem sets are provided, and data necessary for the problem sets are available online.The first book to describe in detail the different techniques used to analyze the data on stellar oscillations, Asteroseismic Data Analysis offers an invaluable window into the hearts of stars.Introduces the asteroseismic study of stars and the theory of stellar oscillationsDescribes the analysis of observational (time-domain) dataExamines how seismic parameters are extracted from observationsExplores how stellar properties are determined from seismic dataLooks at the “inverse problem,” where frequencies are used to infer internal structures of stars

Table of Contents

Frontmatter -- Contents -- Preface and Acknowledgments -- 1. Introduction -- 2. Theoretical Underpinnings: Modeling Stars -- 3. Theoretical Underpinnings: Stellar Oscillations -- 4. Observational Data: Overview and Fundamentals -- 5. Observational Data: Detailed Characteristics in the Frequency Domain -- 6. Observational Data: Analysis of the Frequency Spectrum -- 7. Drawing Inferences From Average Seismic Parameters -- 8. Interpreting Frequencies Of Individual Modes: Comparing Frequencies -- 9. Interpreting Frequencies Of Individual Modes: Other Diagnostics -- 10. Inverting Mode Frequencies -- Index