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利用宇宙大尺度结构限制宇宙学

摘要第3-4页
Abstract第4-5页
Chapter 1 Introduction第8-13页
Chapter 2 Clustering statistics of large-scale structures第13-28页
    2.1 Coordinate systems第13-15页
    2.2 Two-point correlation function第15-19页
        2.2.1 Isotropic two-point correlation function第15-17页
        2.2.2 Anisotropic two-point correlation function第17-18页
        2.2.3 Two-point cross correlation function第18-19页
    2.3 Power spectrum第19-21页
    2.4 Higher order statistics第21-22页
    2.5 Observational effects第22-28页
        2.5.1 Baryon Acoustic Oscillate第22-25页
        2.5.2 Redshift Space Distortions第25-28页
Chapter 3 Error estimate using mock catalogues第28-45页
    3.1 Dynamics of gravitational instability第28-34页
        3.1.1 The Poisson equation第29-30页
        3.1.2 The Vlasov equation第30-32页
        3.1.3 Lagrangian perturbation theory第32-34页
    3.2 N-body simulations第34-37页
        3.2.1 Method for generating N-body simulations第34-36页
        3.2.2 The BigMultiDark Planck and DarkSky simulations第36-37页
    3.3 Fast mock generators第37-40页
        3.3.1 EZMOCK and PATCHY第37-38页
        3.3.2 A comparison of mock generators第38-40页
    3.4 Generation of mock galaxies第40-45页
        3.4.1 Halo mass distribution reconstruction第40-43页
        3.4.2 Sampling galaxies in dark matter haloes第43-45页
Chapter 4 DT voids第45-69页
    4.1 DIVE: Delaunay Triangulation void finder第45-48页
    4.2 Void abundance第48-51页
    4.3 Cosmic web environment第51-54页
        4.3.1 Spatial distribution第51-52页
        4.3.2 Local dark matter density第52-53页
        4.3.3 Dynamical environment第53-54页
    4.4 Baryon Acoustic Oscillations with voids第54-58页
        4.4.1 BAO from cubic mocks第54-55页
        4.4.2 Generation of random catalogues第55-56页
        4.4.3 Optimal radius cut第56页
        4.4.4 Significance of the void BAO peak from BOSS DR11 data第56-58页
    4.5 Redshift Space Distortions with voids第58-61页
    4.6 Void bias function第61-69页
        4.6.1 The relationship between void bias and tracer number density第61-65页
        4.6.2 Redshift evolution of void bias function第65-69页
Chapter 5 A joint BAO analysis of galaxies and voids第69-89页
    5.1 BAO reconstruction第69-70页
    5.2 BAO fitting method第70-82页
        5.2.1 The typical de-wiggled model第70-72页
        5.2.2 Covariance matrices第72页
        5.2.3 Parameter inference第72-73页
        5.2.4 Fitting results with the typical de-wiggled model第73-76页
        5.2.5 The modified de-wiggled model第76-79页
        5.2.6 Fitting results with the modified de-wiggled model第79-80页
        5.2.7 Fitting range第80-82页
    5.3 Measuring BAO by combining galaxies and voids第82-89页
        5.3.1 Correlation function estimator for combining galaxies and voids第82-83页
        5.3.2 Optimal combination of galaxies and voids第83-86页
        5.3.3 Measurements from observed galaxies and voids第86-87页
        5.3.4 Statistical fluctuations on the improvements with voids第87-89页
Chapter 6 Conclusion第89-92页
References第92-103页
致谢第103-105页
个人简历、在学期间发表的学术论文与研究成果第105-106页

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