Atnaujinkite slapukų nuostatas

El. knyga: Lectures on Cosmology: Accelerated Expansion of the Universe

Edited by
  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Physics 800
  • Išleidimo metai: 10-Mar-2010
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Kalba: eng
  • ISBN-13: 9783642105982
  • Formatas: PDF+DRM
  • Serija: Lecture Notes in Physics 800
  • Išleidimo metai: 10-Mar-2010
  • Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Kalba: eng
  • ISBN-13: 9783642105982

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

The lectures that four authors present in this volume investigate core topics related to the accelerated expansion of the Universe.The first lecture covers the inflationary period in the very early Universe.The second lecture revolves around the accelerated expansion of the late Universe at redshifts z < 1 due to the enigmatic dark energy that is commonly interpreted as a cosmological constant. The discovery of this accelerated expansion relied on data from type Ia supernovae, so this second lecture is dedicated to the astrophysics of type Ia supernovae and their role in cosmological observations.The third lecture, which seeks alternative explanations of dark energy, deals with modified gravity models. Such theories presently appear to be the most serious competitors to conventional dark-energy models based on a cosmological constant or its time-dependent counterparts arising from a scalar field.And the fourth lecture discusses currently available statistical methods that are indispensable for the analysis of cosmological data, thus making them necessary prerequisites for many of the results of modern cosmological research.This book is intended to serve as an entry point for graduate students and young researchers into active cosmological research.

These four lectures cover the following topics: the inflationary period in the very early Universe, the accelerated expansion of the late Universe at redshifts z and lt, modified gravity models, and current statistical methods for analyzing cosmological data.
Inflation and Cosmological Perturbations 1
D. Langlois
1 Introduction
2
2 The Hot Big Bang Model
2
3 Inflation
6
4 Quantum Fluctuations and "Birth" of Cosmological Perturbations
15
5 From Inflation to the Standard Era
27
6 More General Inflationary Scenarios
34
7 Primordial Non-Gaussianities
49
8 Conclusions
54
References
54
Type Ia Supernovae and Cosmology 59
M. Sullivan
1 Introduction
59
2 Context and Basic Concepts
61
3 Cosmological Applications
71
4 Systematics in SNe Ia
82
5 Concluding Remarks
94
References
95
Modified Gravity Models of Dark Energy 99
S. Tsujikawa
1 Introduction
100
2 f(R) Gravity
101
3 Scalar-Tensor Theories
111
4 Braneworld Models of Dark Energy
120
5 Other Modified Gravity Models
125
6 Observational Signatures of Modified Gravity
127
7 Conclusions
142
References
143
Statistical Methods in Cosmology 147
L. Verde
1 Introduction
148
2 Bayesians vs Frequentists
149
3 Bayesian Approach and Statistical Inference
150
4 Chisquare and Goodness of Fit
152
5 Confidence Regions
154
6 Likelihood
155
7 Why Gaussian Likelihoods9
159
8 The Effect of Priors: Examples
160
9 Combining Different Data Sets: Examples
160
10 Forecasts: Fisher Matrix
161
11 Example of Fisher Approach Applications
165
12 Model Testing
172
13 Monte Carlo Methods
174
14 Conclusions
175
15 Some Useful References
175
References
176
Index 179