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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

Astroseismology. --- Astero-seismology --- Asteroseismology --- Extraterrestrial seismology --- Stellar oscillations --- Bayesian framework. --- LAWE. --- NASA Kepler mission. --- acoustic glitches. --- asteroseismic analysis. --- asteroseismic data. --- asteroseismic parameters. --- asteroseismology. --- automated detection. --- basic datasets. --- comparing frequencies. --- constructing models. --- direct method. --- energy generation. --- energy. --- exoplanets. --- frequency spectrum. --- frequency splittings. --- frequency-domain properties. --- frequency-power spectrum. --- glitch signatures. --- granulation. --- grid-based modeling. --- inversion techniques. --- inversions. --- linear adiabatic wave equation. --- magnetic activity. --- mass. --- mixed modes. --- mode frequencies. --- model parameters. --- modeling stars. --- momentum. --- observational data. --- observational techniques. --- oscillations. --- peak-bagging analysis. --- period spacings. --- power spectrum. --- pulsators. --- red giants. --- satellite. --- seismic properties. --- solar frequencies. --- solar-like oscillators. --- solar-like pulsations. --- solar-type oscillations. --- spherical symmetry. --- star mass. --- star radius. --- stars. --- stellar models. --- stellar oscillation data. --- stellar oscillations. --- stellar parameters. --- stellar population. --- stellar properties. --- stellar pulsations. --- stellar signals. --- stellar structure. --- stellar structures. --- telescope. --- time-domain data. --- time-series observations.