Advanced Statistical Methods for Astrophysical Probes of Cosmology

• Κύριος συγγραφέας: March, Marisa Cristina (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Physics.; Observations, Astronomical.; Astronomy > Observations.; Cosmology.; Statistical physics.; Dynamical systems.; Statistics.; Astronomy, Observations and Techniques.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistical Physics, Dynamical Systems and Complexity.

This thesis explores advanced Bayesian statistical methods for extracting key information for cosmological model selection, parameter inference and forecasting from astrophysical observations. Bayesian model selection provides a measure of how good models in a set are relative to each other - but wh...

Πίνακας περιεχομένων:

• Introduction
• Cosmology background
• Dark energy and apparent late time acceleration
• Supernovae Ia
• Statistical techniques
• Bayesian Doubt: Should we doubt the Cosmological Constant?
• Bayesian parameter inference for SNeIa data
• Robustness to Systematic Error for Future Dark Energy Probes
• Summary and Conclusions
• Index.