Asteroseismic Data Analysis

Foundations and Techniques
Princeton University Press
  • erschienen am 5. September 2017
  • |
  • 352 Seiten
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
978-1-4008-8820-7 (ISBN)

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 oscillations
  • Describes the analysis of observational (time-domain) data
  • Examines how seismic parameters are extracted from observations
  • Explores how stellar properties are determined from seismic data
  • Looks at the "inverse problem," where frequencies are used to infer internal structures of stars
  • Englisch
  • Princeton
  • |
  • USA
Bonnier Publishing Fiction
  • Digitale Ausgabe
  • Fixed format
  • 159 line illus. 2 tables.
  • |
  • 159 line illus. 2 tables.
  • 14,85 MB
978-1-4008-8820-7 (9781400888207)
1400888204 (1400888204)
weitere Ausgaben werden ermittelt
Sarbani Basu & William J. Chaplin

Preface and Acknowledgments ix
1 Introduction 1
1.1 The Different Types of Pulsators 1
1.2 A Brief History of the Study of Solar-Type Oscillations 5
1.3 Overview of the Data 7
1.4 Scope of This Book 13
1.5 Further Reading 14
1.6 Exercises 15
2 Theoretical Underpinnings: Modeling Stars 16
2.1 The Equations of Stellar Structure and Evolution 16
2.2 The Question of ¿19
2.3 Other Physical Processes 22
2.4 Boundary Conditions 22
2.5 Inputs to Stellar Models 25
2.6 Modeling a Star 26
2.7 Constructing Solar Models 27
2.8 Constructing Stellar Models of a Given Mass, Radius, and Teff 28
2.9 Further Reading 29
2.10 Exercises 31
3 Theoretical Underpinnings: Stellar Oscillations 33
3.1 The Equations of Stellar Oscillations 33
3.2 Properties of Stellar Oscillations 40
3.3 Changes in Frequencies in Response to Changes in Stellar Structure 58
3.4 The Effects of Acoustic Glitches 63
3.5 The Effects of Rotation 66
3.6 Mode Excitation 70
3.7 Further Reading 74
3.8 Exercises 76
4 Observational Data: Overview and Fundamentals 78
4.1 Spatial Response of the Observations 78
4.2 Photometric and Doppler Velocity Observations 83
4.3 Other Contributions to the Observed Data 89
4.4 Further Reading 98
4.5 Exercises 99
5 Observational Data: Detailed Characteristics in the Frequency Domain 100
5.1 Power Spectrum Estimation 101
5.2 Statistics of the Power Spectrum 111
5.3 Solar-Like Oscillations in the Frequency Domain 113
5.4 Global Properties of the Oscillation Spectrum 127
5.5 Frequency Spectrum of Granulation and Active-Region Signal 134
5.6 Harmonic Structure from Transits, Eclipses, and Stellar Rotation 137
5.7 Super-Nyquist Asteroseismology 145
5.8 Further Reading 150
5.9 Exercises 152
6 Observational Data: Analysis of the Frequency Spectrum 153
6.1 Statistical Tests: Example of Detection of Signatures of Individual Modes 154
6.2 Automated Detection of Oscillation Spectra 162
6.3 Fundamentals of Peak-Bagging: Extraction of Individual Mode Parameters 181
6.4 Peak-Bagging: Practicalities and Challenges 187
6.5 Challenges for Peak-Bagging Posed by Mixed Modes 207
6.6 Further Reading 220
6.7 Exercises 221
7 Drawing Inferences from Average Seismic Parameters 223
7.1 The Direct Method 223
7.2 Grid-Based Modeling 227
7.3 Further Reading 234
7.4 Exercises 235
8 Interpreting Frequencies of Individual Modes: Comparing Frequencies 237
8.1 Choosing the Physics of Models 237
8.2 Effects of Different Model Parameters 239
8.3 A Complicating Factor: The Surface Term 243
8.4 Common Ways of Constructing Models to Fit Frequencies 249
8.5 Dealing with Avoided Crossings in Subgiants 257
8.6 Modeling Red Giants 258
8.7 Alternative Methods for Fitting Frequencies 259
8.8 Analysis of Rotation 265
8.9 Further Reading 268
8.10 Exercises 269
9 Interpreting Frequencies of Individual Modes: Other Diagnostics 271
9.1 Learning from Combinations of Frequencies 271
9.2 Fitting and Interpreting the Signature of Acoustic Glitches 276
9.3 Analysis of Red Giants 281
9.4 Further Reading 293
9.5 Exercises 295
10 Inverting Mode Frequencies 297
10.1 The Inversion Equation 297
10.2 The Regularized Least Squares Technique 299
10.3 The Method of Forming Optimally Localized Averages 306
10.4 Applying Inversions to Stars 315
10.5 Inversions for Global Quantities 320
10.6 Alternative Methods 325
10.7 Inversions for Rotation 327
10.8 Further Reading 329
10.9 Exercises 331
Index 333

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