本書是關(guān)于暗能量的英文專著,詳細地介紹了暗能量領(lǐng)域的理論基礎(chǔ)、研究方法和發(fā)展水平,內(nèi)容包含理論推演和實驗觀測數(shù)據(jù)分析。本書從引力理論和宇宙學(xué)背景知識講起,引入并探討了暗能量的各種模型及相關(guān)理論,如超對稱、全息原理、人擇原理、量子宇宙學(xué)、修正的引力理論、反饋和各種唯象模型等等。在系統(tǒng)講解理論推演的同時,本書對于實驗觀測的結(jié)果也作了全面介紹,并且較為詳細地講解了數(shù)據(jù)分析的方法。通過實驗提供的數(shù)據(jù),本書對各種暗能量模型與實驗的比對作了介紹。進一步地,還對各個模型的優(yōu)劣做了比較。本書適合宇宙學(xué)、粒子物理、引力理論等領(lǐng)域的科研工作者和研究生作為參考,也可作為試圖了解并進入這一研究方向的研究生的指導(dǎo)性讀物,還可以幫助感興趣的非專業(yè)讀者了解這個迅速發(fā)展、迷人的領(lǐng)域。
本書是國內(nèi)暗能量研究方面的第一本專著。暗能量是當(dāng)今物理學(xué)的一大研究熱點,同時也是最受關(guān)注的未解之謎之一。暗能量研究的理論淵源可以追溯到愛因斯坦的廣義相對論場方程中的宇宙常數(shù)項的提出。其真正為物理學(xué)界所格外關(guān)注,則是因為宇宙加速膨脹的發(fā)現(xiàn)。而宇宙加速膨脹的發(fā)現(xiàn),正是2011年諾貝爾物理學(xué)獎的獲獎成果。本書內(nèi)容系統(tǒng)而豐富,涵蓋了暗能量研究的幾乎所有方面,包括理論研究和實驗觀測等,是國內(nèi)相關(guān)研究的獨一無二的參考書,也是引領(lǐng)研究生進入這一領(lǐng)域的優(yōu)秀的指導(dǎo)材料。
另外要特別指出的是,本書為彩色印刷,配有大量精美圖片,在給予讀者豐富、深邃的知識的同時,也帶來了形式上的美感。
李淼,1982年畢業(yè)于北京大學(xué),1990年于丹麥哥本哈根大學(xué)尼爾斯玻爾研究所獲得博士學(xué)位。1990-1999年,在加州大學(xué)圣芭芭拉分校從事科研工作,先后擔(dān)任研究員和研究助理教授。1999年起任中國科學(xué)院理論物理研究所研究員,F(xiàn)為《中國科學(xué)》(G輯)和國際刊物ModernPhysics D,Communicationin Theoretical Physics 等學(xué)術(shù)雜志的編委。在弦理論、宇宙學(xué)和粒子物理領(lǐng)域發(fā)表了約130篇學(xué)術(shù)論文,提出了有影響的全息暗能量模型,還在報紙和雜志上發(fā)表了超過200篇科普文章并主講過多場科普講座。
Part I Preliminaries in a Nutshell
1 Gravitation.
1.1 The Curved Spacetime
1.2 The Curved Spacetime:an Example
1.3 TheEitein Equation
2 Matter Components
2. 1 The StressTeor
2.2 Perfect Fluid
2. 3 Observe and Energy Conditio
2.4 TheVacuum
2.5 Particles.
2.6 Homogeneous Field Configuratio
3 Cosmology
3.1 The Cosmological Principle
3.2 Newtonian Cosmology
3.3 FRW Cosmology
Part II Theoretical Aspects
4 Introduction to Dark Energy
4.1 The Cosmological Cotant Reloaded
4.2 TheTheoretical ChallengeReferences
5 Weinberg's Classification
5.1 Supeymmetry
5.2 Anthropic Principle
5.3 Tuning Mechanism
5.4 Modifying Gravity
5.5 Quantum Cosmology
References
6 Symmetry
6.1 Supeymmetry in 2{1 Dimeio
6.2 t HooftNobhenhuis Symmetry
6.3 KaplanSundrum Symmetry
6.4 Symmetry of Reveing Sign of the Metric
6.5 Sealing Invariance in D > 4
References
7 Anthropic Principle
7.1 BoussoPolchiki Scenario
7.2 KKLT Scenario
7.3 Populating the Landscape and Anthropic Interpretatio.
References
8 Tuning Mechanisms
8.1 Brane veus Bulk Mechanism
8.2 Black Hole SelfAdjustment
References
9 Modified Gravity
9.1 f(R) Models
9.2 MOND and TeVeS Theories
9.3 DGP Model
9.4 Other Modified Gravity Theories
References
10 Quantum Cosmology
10.1 Cosmological Cotant Seesaw
10.2 Wave Function through the Landscape
References
11 Holographic Principle
11.1 The Holographic Principle
11.2 Holographic Dark Energy
11.3 Complementary Motivatio
11.4 Agegraphic Dark Energy
11.5 Ricci Dark Energy
References
12 BackReaction
12.1 SubHubble Inhomogeneities
12.2 SuperHubble Inhomogeneities
References
13 Phenomenological Models
13.1 Quintessence, Phantom and Quintom
13.2 KEssee, Custuton, Braiding and Ghost Condeation
13.3 Higher Spin Fields
13.4 Chaplygin Gas and Viscous Fluid
13.5 Particle Physics Models
13.6 Dark Energy Perturbatio
References
14 The Theoretical Challenge Revisited
References
Part III Observational Aspects
15 Basis of Statistics
15.1 X2 Analysis
15.2 Algorithms for the BestFit Analysis
15.3 The Markov Chain Monte Carlo Algorithm
15.4 The Fisher Matrix Techniques
References
16 Cosmic Probes of Dark Energy
16.1 Type Ia Supernovae
16.2 Cosmic Microwave Background
16.3 Baryon Acoustic Oscillatio
16.4 Weak Leing
16.5 Galaxy Cluste
16.6 GammaPay But
16.7 XRay Observatio
16.8 Hubble Parameter Measurements
16.9 Cosmic Age Tests
16.10 Growth Factor
16.11 Other Cosmological Probes
References
17 Dark Energy Projects
17.1 OnGoing Projects
17.2 IntermediateScale, NearFuture Projects
17.3 LargerScale, LongerTerm Future Projects
References
18 Observational Cotraints on Specific Theoretical Models
18.1 Scalar Field Models
18.2 Chaplygin Gas Models
18.3 Holographic Dark Energy Models
18.4 DvaliGabadadzePorrati Model
18.5 f(R) Models
18.6 Other Modified Gravity Models
18.7 Inhomogeneous LTB and BackReartion Models
18.8 Comparison of Dark Energy Models
References
19 Dark Energy Recotructio from Observational Data
19.1 Specific Aatz
19.2 Binned Parametrization
19.3 Polynomial Fitting
19.4 Gaussian Process Modeling
References
Index