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arXiv 1104.5675astro-ph.COgr-qc
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在CMB天空和LCDM中CCC预测的低方差圆

CCC-predicted low-variance circles in CMB sky and LCDM

V. G. Gurzadyan, R. Penrose

摘要:

新的分析证实了我们早先的说法[1],[7]在宇宙微波背景(CMB)中,在WMAP数据中可以辨别出明显的低温度变化的圆,通常是同心圆。它们的真实性可以被解释为在前一个世代中遇到超大质量黑洞的证据,正如共形循环宇宙学(CCC)所预测的那样[2]。相反的论点[4-6]指出,这样的圆圈出现,在类似的频率,也在模拟数据使用WMAP的CMB功率谱,加上随机输入。我们回应[7],如果这样的圆有助于CMB,这会影响功率谱,增强模拟中的这样的圆。我们在这里证实了这一点,但表明,如果理论LCDM功率谱,而不是使用,那么低方差的圆圈消失。这表明LCDM模型对CMB的解释是不完整的,缺少关键信息,而这些信息是由CCC的低方差圆提供的。理论LCDM和观察到的功率谱之间的良好协议,即使对于相当大的l值,并没有揭示这种差异,相关性仅在较大的l值,协议是弱的。我们指出了各种非随机方面的圆圈,看到在真实的数据和WMAP功率谱的模拟,但不是与理论LCDM频谱。我们还表明,同心圆集的空间分布是非常非随机的真实WMAP数据(也许是由于大规模的质量不均匀性扭曲CCC的圆形),在完全相反的模拟与WMAP功率谱,这样的圆集是稀疏和接近平均温度。这些特征与CCC完全一致(并且与早期的分析[8]一致,即CMB中的随机高斯分量在总CMB信号中仅为0.2左右),但不容易适应标准通货膨胀的随机初始波动。

英文摘要:

New analysis confirms our earlier claim [1], [7] of circles of notably low temperature variance, often in concentric sets, in the cosmic microwave background (CMB), discernable in WMAP data. Their reality can be interpreted as evidence of supermassive black-hole encounters in a previous aeon, as predicted by conformal cyclic cosmology (CCC) [2]. Counter arguments [4-6] pointed out that such circles arise, at similar frequency, also in simulated data using WMAP's CMB power spectrum, plus random input. We responded [7] that if such circles contribute to CMB, this influences the power spectrum, enhancing such circles in simulations. We confirm this here, but show that if the theoretical LCDM power spectrum is used instead, then the low-variance circles disappear. This is evidence that the LCDM model gives an incomplete explanation of the CMB, missing crucial information, which is provided by incorporating low-variance circles of CCC. The excellent agreement between theoretical LCDM and observed power spectrum, even for fairly large l-values, does not reveal this discrepancy, of relevance only at larger l-values where agreement is weak. We point out various non-random aspects of the circles, seen both in the true data and in simulations with WMAP power spectrum, but not with the theoretical LCDM spectrum. We also show the spatial distribution of concentric circle sets to be very non-random in the true WMAP data (perhaps owing to large-scale mass inhomogeneities distorting CCC's circle shapes), in complete contrast with simulations with WMAP power spectrum, where such circle sets are much sparser and closer to average temperature. These features are fully consistent with CCC (and with an earlier analysis [8] that the random Gaussian component in the CMB is only around 0.2 in the total CMB signal) but do not readily fit in with the random initial fluctuations of standard inflation.

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