Virialization of cosmological structures in models with time-varying equation of state

We study the virialization of the cosmic structures in the framework of flat cosmological models where the dark energy component plays an important role in the global dynamics of the Universe. In particular, our analysis focuses on the study of the spherical matter perturbations, as the latter decouple from the background expansion, start to 'turn around' and finally collapse. We generalize this procedure, taking into account models with an equation of state which vary with time, and provide a complete formulation of the cluster virialization attempting to address the non-linear regime of structure formation. In particular, assuming that clusters have collapsed prior to the epoch of z _f≃ 1.4, in which the most distant cluster has been found, we show that the behaviour of the spherical collapse model depends on the functional form of the equation of state.     

Statistical analysis of galaxy surveys – III. The non-linear clustering of red and blue galaxies in the 2dFGRS

We present measurements of the higher order clustering of red and blue galaxies as a function of scale and luminosity made from the two-degree field galaxy redshift survey (2dFGRS). We use a counts-in-cells analysis to estimate the volume-averaged correlation functions,     , as a function of scale up to the order of   p = 5  , and also the reduced void probability function. Hierarchical amplitudes are constructed using the estimates of the correlation functions:     . We find that (i) red galaxies display stronger clustering than blue galaxies at all orders measured; (ii) red galaxies show values of   S _p   that are strongly dependent on luminosity whereas blue galaxies show no segregation in   S _p   within the errors; this is remarkable given the segregation in the variance; (iii) the linear relative bias shows the opposite trend to the hierarchical amplitudes, with little segregation for the red sequence and some segregation for the blue; (iv) faint red galaxies deviate significantly from the 'universal' negative binomial reduced void probabilities followed by all other galaxy populations. Our results show that the characteristic colour of a galaxy population reveals a unique signature in its spatial distribution. Such signatures will hopefully further elucidate the physics responsible for shaping the cosmological evolution of galaxies.     

Constraining the nature of dark energy using the Square Kilometer Array Telescope

We investigate the potential of the Square Kilometer Array Telescope (SKA) to constrain the sound speed of dark energy. The Integrated Sachs Wolfe (ISW) effect results in a significant power spectrum signal when Cosmic Microwave Background (CMB) temperature anisotropies are cross-correlated with galaxies detectable with the SKA in H  i . We consider using this measurement, the autocorrelation of H  i galaxies and the CMB temperature power spectrum to derive constraints on the sound speed. We study the contributions to the cross-correlation signal made by galaxies at different redshifts and use redshift tomography to improve the signal-to-noise. We use a  χ²  analysis to estimate the significance of detecting a sound speed different from that expected in quintessence models, finding that there is potential to distinguish very low sound speeds from the quintessence value.     

倾斜摄影技术在丘陵山区大比例尺测图中的应用

针对丘陵山区大比例尺测图应用的需求,本文探讨了如何通过倾斜摄影的技术方法获取高精度的影像模型。首先通过分析航线布设方法、控制点布设采集要点、空三数据处理关键点等,获取满足丘陵山区大比例尺测图应用的数据模型,基于数据模型获取大比例尺地形图数据;然后通过与实地测量数据进行精度对比分析获取试验结果,结果表明倾斜摄影技术不但能满足丘陵山区1：1000大比例尺测图的精度要求,而且大大提高了工作效率。     

缝洞型油藏大尺度可视化水驱油物理模拟实验及机理

缝洞型碳酸盐岩油藏由于其缝洞组合关系的复杂性,使得储层流体的渗流规律有别于常规油藏。根据某油田奥陶系缝洞型碳酸盐岩的实际情况设计制作了大尺度可视化物理模型,并按照现场实际设计了二注三采的实验井网及注采方案,以应用物理模拟实验来研究缝洞型碳酸盐岩油藏的开发特征及油井生产规律。结合实验结果,利用J.Cruz-Hernández建立的数学模型对生产数据进行拟合,以研究缝洞型碳酸盐岩油藏中流体的渗流机理,J.Cruz-Hernández数学模型中的空间系数和流动速度对采收率影响较大,提出模型的改进应考虑重力分异作用、溶洞比例等影响因素。     

气候变化与人类活动联合影响下东江流域非一致性洪水频率

一致性假设一直是洪水频率分析的基本假设条件,但在气候变化与人类活动综合影响下,水文极值序列的一致性假设受到极大挑战。基于此,以东江流域为例,运用GAMLSS模型(广义可加模型),将时间、气候指标(北极涛动AO、北太平洋涛动NPO、太平洋年代际振荡PDO和南方涛动SOI)以及水库指标(Reservoir Index)统一纳入洪水频率分析中,并对东江流域1954―2009年年最大流量序列(AMS)进行频率分析,结果表明:1)龙川、河源和岭下站年最大流量序列均值与时间呈线性关系,方差为常量,而博罗站均值和方差与时间均呈非线性关系;2)水库对各水文站点AMS均值有显著线性影响;3)NPO对各站点AMS均值有显著线性影响,NPO值较高时,东江流域可能面临着较低的洪水风险,在一致性假设前提下,可能高估洪水设计值,反之亦然;而PDO对各站点方差有显著线性(岭下、博罗)/非线性(龙川、河源)影响;4)以时间为协变量构建非一致性模型,研究得出:龙川、河源和岭下3站T年一遇洪水设计值均呈单调下降趋势,博罗站1954―1995年左右洪水设计值呈下降趋势,而在1996―2009年呈上升趋势;以气候与水库为协变量构建非一致性模型,研究表明:龙川、河源和岭下3站T年一遇洪水设计值均因水库影响呈向下跃变;5)以气候和水库为协变量的非一致性模型对洪水频率具有良好的预测能力,为非一致条件下设计洪水的预测提供了新的预测方法。