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北美退伍军人节(Veterans Day),12 日无更新
arXiv 0705.2562hep-th
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大型玩具景观中的人择预测

Anthropic prediction in a large toy landscape

Ken D. Olum, Delia Schwartz-Perlov

摘要:

成功的人择预测宇宙学常数关键取决于平坦先验分布的假设。然而,以前在简化景观模型的计算表明,先验分布是交错的,这表明与人为预测的冲突。在这里,我们分析计算完整的分布,包括先验和人择选择的影响,在一个玩具景观模型与现实的真空数,$N \sim 10^{500}$。我们表明,它是可能的分形先验分布,我们发现表现为一个有效的平坦分布在广泛的一类景观,取决于制度的参数空间。这种可能性是否实现取决于目前未知的景观细节。

英文摘要:

The successful anthropic prediction of the cosmological constant depends crucially on the assumption of a flat prior distribution. However, previous calculations in simplified landscape models showed that the prior distribution is staggered, suggesting a conflict with anthropic predictions. Here we analytically calculate the full distribution, including the prior and anthropic selection effects, in a toy landscape model with a realistic number of vacua, $N \sim 10^{500}$. We show that it is possible for the fractal prior distribution we find to behave as an effectively flat distribution in a wide class of landscapes, depending on the regime of parameter space. Whether or not this possibility is realized depends on presently unknown details of the landscape.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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