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首页> 外文期刊>The Astrophysical journal >FORECAST FOR THE PLANCK PRECISION ON THE TENSOR-TO-SCALAR RATIO AND OTHER COSMOLOGICAL PARAMETERS
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FORECAST FOR THE PLANCK PRECISION ON THE TENSOR-TO-SCALAR RATIO AND OTHER COSMOLOGICAL PARAMETERS

机译:张量标量比和其他宇宙学参数对Planck精度的预测

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The Planck satellite, successfully launched on 2009 May 14 to measure with unprecedented accuracy the primary cosmic microwave background (CMB) anisotropies, is operating as expected. The Standard Model of the Universe ("concordance" model) provides the current realistic context to analyze the CMB and other cosmological/astrophysical data, inflation in the early universe being part of it. The Planck performance for the crucial primordial parameter r, the tensor-to-scalar ratio related to primordial B-mode polarization, will depend on the quality of data analysis and interpretation. The Ginzburg-Landau (G-L) approach to inflation allows us to take high benefit of the CMB data. The fourth-degree double-well inflaton potential gives an excellent fit to the current CMB+LSS data. We evaluate the Planck precision to the recovery of cosmological parameters, taking into account a reasonable toy model for residuals of systematic effects of instrumental and astrophysical origin based on publicly available information. We use and test two relevant models: the ΛCDMr model, i.e., the standard ΛCDM model augmented by r, and the ΛCDMrT model, where the scalar spectral index, ns , and r are related through the theoretical "banana-shaped" curve r = r(ns ) coming from the G-L theory with a double-well inflaton potential. In the latter case, the analytical expressions for ns and r are imposed as a hard constraint in a Monte Carlo Markov Chain (MCMC) data analysis. We consider two C ?-likelihoods (with and without B modes) and take into account the white noise sensitivity of Planck (LFI and HFI) in the 70, 100, and 143 GHz channels as well as the residuals from systematic errors and foregrounds. We also consider a cumulative channel of the three mentioned. We produce the sky (mock data) for the CMB multipoles CTT l , CTE l , CEE l , and CBB l from the ΛCDMr and ΛCDMrT models and obtain the cosmological parameter marginalized likelihood distributions for the two models. Foreground residuals affect only the cosmological parameters sensitive to the B modes. As expected, the likelihood r distribution is more clearly peaked near the fiducial value (r = 0.0427) in the ΛCDMrT model than in the ΛCDMr model. The best value for r in the presence of residuals turns out to be about r 0.04 for both the ΛCDMr and the ΛCDMrT models. The ΛCDMrT model is very stable; its distributions do not change by including residuals and the B modes. For r we find 0.028 r 0.116 at a 95% confidence level (CL) with the best value r = 0.04. We also compute the B mode detection probability by the most sensitive HFI-143 channel. At the level of foreground residual equal to 30% of our toy model, only a 68% CL (1σ) detection is very likely. For a 95% CL detection (2σ), the level of foreground residual should be reduced to 10% or lower of the adopted toy model. The lower bounds (and most probable value) we infer for r support the searching of CMB B-mode polarization in the current data as well as the planned CMB missions oriented toward B polarization.
机译:普朗克卫星于2009年5月14日成功发射,以前所未有的精度测量了主要的宇宙微波背景(CMB)各向异性,按预期运行。宇宙的标准模型(“一致性”模型)提供了当前的现实环境来分析CMB和其他宇宙/天体数据,早期宇宙中的膨胀是其中的一部分。关键原始参数r(与原始B模式极化有关的张量与标量之比)的普朗克性能将取决于数据分析和解释的质量。金茨堡-兰道(G-L)的通货膨胀方法使我们可以充分利用CMB数据。第四级双井充气胀势非常适合当前的CMB + LSS数据。我们根据可公开获得的信息,考虑到合理的玩具模型,以求得器物和天体起源的系统影响的残差,并评估了普朗克恢复宇宙学参数的精度。我们使用并测试了两个相关模型:ΛCDMr模型(即标准ΛCDM模型加上r)和ΛCDMrT模型,其中标量光谱指数ns和r通过理论上的“香蕉形”曲线r = r(ns)来自GL理论,具有双井Inflaton势。在后一种情况下,在蒙特卡洛·马可夫链(MCMC)数据分析中,将ns和r的解析表达式作为硬约束施加。我们考虑两个Cα可能性(带和不带B模式),并考虑了70、100和143 GHz信道中普朗克(LFI和HFI)的白噪声敏感性以及系统误差和前景的残差。我们还考虑了上述三个渠道的累积渠道。我们从ΛCDMr和ΛCDMrT模型生成CMB多极CTT l,CTE l,CEE l和CBB l的天空(模拟数据),并获得两个模型的宇宙学参数边缘化似然分布。前景残差仅影响对B模式敏感的宇宙学参数。如预期的那样,与CDMr模型相比,CDMrT模型中的基准值(r = 0.0427)附近的可能性r分布更清晰地达到峰值。对于ΛCDMr和ΛCDMrT模型,在存在残差的情况下r的最佳值约为r 0.04。 ΛCDMrT模型非常稳定;通过包含残差和B模式,其分布不会改变。对于r,我们在95%置信水平(CL)下发现0.028

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