3. UNDERSTANDING DATA BETTER WITH BAYESIAN AND GLOBAL STATISTICAL METHODS

Kapitel in diesem Buch

1. Frontmatter i
2. OVERVIEW v
3. CONTENTS vii
4. PREFACE xiii
5. 1. THE COSMOLOGICAL PARAMETERS 1
6. 2. IN THE BEGINNING . . . 25
7. 3. UNDERSTANDING DATA BETTER WITH BAYESIAN AND GLOBAL STATISTICAL METHODS 49
8. 4. LARGE-SCALE STRUCTURE IN THE UNIVERSE 61
9. 5. UNSOLVED PROBLEMS IN GRAVITATIONAL LENSING 93
10. 6. WHAT CAN B E LEARNED FROM NUMERICAL SIMULATIONS OF COSMOLOGY 115
11. 7. THE CENTERS OF ELLIPTICAL GALAXIES 137
12. 8. THE MORPHOLOGICAL EVOLUTION OF GALAXIES 159
13. 9. QUASARS 181
14. 10. SOLAR NEUTRINOS: SOLVED AND UNSOLVED PROBLEMS 195
15. 11. PARTICLE DARK MATTER 221
16. 12. STARS IN THE MILKY WAY AND OTHER GALAXIES 241
17. 13. SEARCHING FOR MACHOs WITH MICROLENSING 253
18. 14. GLOBALLY ASYMMETRIC SUPERNOVA 269
19. 15. IN AND AROUND NEUTRON STARS 281
20. 16. ACCRETION FLOWS AROUND BLACK HOLES 301
21. 17. THE HIGHEST ENERGY COSMIC RAYS 325
22. 18. TOWARD UNDERSTANDING GAMMA-RAY BURSTS 343