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暗能量(Dark Energy)

暗能量(Dark Energy)

定 價(jià):¥65.00

作 者: 李淼 等編著
出版社: 北京大學(xué)出版社
叢編項(xiàng):
標(biāo) 簽: 理論物理學(xué)

ISBN: 9787301210383 出版時(shí)間: 2012-08-01 包裝: 平裝
開本: 16開 頁數(shù): 267 字?jǐn)?shù):  

內(nèi)容簡介

  本書是關(guān)于暗能量的英文專著,詳細(xì)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(shí)驗(yàn)觀測數(shù)據(jù)分析。本書從引力理論和宇宙學(xué)背景知識(shí)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(shí),本書對于實(shí)驗(yàn)觀測的結(jié)果也作了全面介紹,并且較為詳細(xì)地講解了數(shù)據(jù)分析的方法。通過實(shí)驗(yàn)提供的數(shù)據(jù),本書對各種暗能量模型與實(shí)驗(yàn)的比對作了介紹。進(jìn)一步地,還對各個(gè)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(jìn)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(gè)迅速發(fā)展、迷人的領(lǐng)域。

作者簡介

  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 Modern Physics D、Comnunication in 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1 30篇學(xué)術(shù)論文,提出了有影響的全患暗能量模型,還在報(bào)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。

圖書目錄

Part I Preliminaries in a Nutshell1 Gravitation. 1.1 The Curved Spacetime 1.2 The Curved Spacetime:an Example 1.3 TheEitein Equation2 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 Configuratio3 Cosmology 3.1 The Cosmological Principle 3.2 Newtonian Cosmology 3.3 FRW CosmologyPart II Theoretical Aspects4 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 References6 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 References7 Anthropic Principle 7.1 BoussoPolchiki Scenario 7.2 KKLT Scenario 7.3 Populating the Landscape and Anthropic Interpretatio.References8 Tuning Mechanisms 8.1 Brane veus Bulk Mechanism 8.2 Black Hole SelfAdjustmentReferences9 Modified Gravity 9.1 f(R) Models 9.2 MOND and TeVeS Theories 9.3 DGP Model 9.4 Other Modified Gravity TheoriesReferences10 Quantum Cosmology 10.1 Cosmological Cotant Seesaw 10.2 Wave Function through the Landscape References11 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 References12 BackReaction 12.1 SubHubble Inhomogeneities 12.2 SuperHubble Inhomogeneities References13 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 References14 The Theoretical Challenge Revisited ReferencesPart III Observational Aspects15 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 References16 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 References17 Dark Energy Projects 17.1 OnGoing Projects 17.2 IntermediateScale, NearFuture Projects 17.3 LargerScale, LongerTerm Future Projects References18 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 References19 Dark Energy Recotructio from Observational Data 19.1 Specific Aatz 19.2 Binned Parametrization 19.3 Polynomial Fitting 19.4 Gaussian Process Modeling ReferencesIndex

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