通过 CAMB 估算重子密度并评估其可靠性

Samuel Lee
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引用次数: 0

摘要

通过宇宙微波背景辐射及其各向异性,我们可以分析早期宇宙的许多特性和现象。其中一个重要特性就是重子密度(Ω_b),这是一个宇宙学常数,表示宇宙中重子的密度与其临界密度的比较。重子密度会影响早期宇宙中物质的相互作用,因此通过分析 CMB 各向异性来研究物质是如何相互作用的,就可以估算出早期宇宙中的重子密度。了解Ω_b至关重要,因为它揭示了宇宙构成的信息,如暗物质和暗能量的数量、天体的早期形成以及物质-反物质的不对称性。本文旨在通过估算 Ω_b h^2 来检验 CMB 各向异性模拟算法 CAMB 的可靠性。CAMB主要利用场方程、Friedmann-Lemaître-Robertson-Walker度量、流体方程、玻尔兹曼方程和线性扰动理论的组合来计算CMB功率谱。我们估算了 Ω_b h^2 的值,在保持其他宇宙学参数不变的情况下,将 Ω_b h^2 以 0.000625 的增量从 0.01 变为 0.03。我们将得到的 TT 和 TE 功率谱的峰值、谷值、位置、阻尼尺度和振幅与普朗克卫星的数据进行了比较。我们使用秩方最小化方法,发现Ω_b h^2 的最佳拟合值和不确定性为 0.02325 ± 0.00015。我们将研究得出的重子密度估算值与现有的估算值进行了比较,以评估 CAMB 作为模拟的可靠性和进一步开展 CMB 各向异性相关研究的信息来源,结果证实 CAMB 是准确的。不过,使用更广泛的数据集进行进一步开发的可能性得到了认可,深度学习是向前迈出的潜在一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Baryon Density through the CAMB and Assessing its Reliability
The Cosmic Microwave Background Radiation and its anisotropies allow us to analyze many properties and phenomena of the early universe. One such important property is the Baryon Density(Ω_b), a cosmological constant for the density of Baryons in the universe in comparison to its critical density. Baryon Density affects the interactions of matter in the early universe and therefore the analysis of CMB Anisotropies to study how matter interacts allows for the estimation of the Baryon Density in the Early Universe. Understanding Ω_b, is crucial as it reveals information about the composition of the universe, such as the amount of dark matter and dark energy, the early formation of celestial bodies and matter-antimatter asymmetry. This paper aimed to test the reliability of CAMB, a simulation algorithm for CMB anisotropies, by estimating Ω_b h^2. The CAMB mainly utilizes a combination of field equations, the Friedmann-Lemaître-Robertson-Walker metric, Fluid Equations, the Boltzmann Equation and Linear Perturbation theory in order to compute the CMB power spectra. We estimated the value of Ω_b h^2, maintaining other cosmological parameters constant and changing Ω_b h^2 from 0.01 to 0.03 in increments of 0.000625. The peaks, troughs, positions, damping scale and amplitudes of the resultant TT and TE power spectra were compared with data from the Planck Satellite. We use chi-square minimization and find the best fit value and uncertainty forΩ_b h^2 to be 0.02325 ± 0.00015. The estimated value of the baryon density from our study was compared to existing estimates to evaluate the reliability of CAMB as a simulation and source of information for further CMB Anisotropy related research, where it was confirmed to be accurate. However, further developments using wider sets of data was acknowledged with deep learning being a potential step forward.
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