从产品景观中选择优先等级
Preferred hierarchy scales from the product landscape
摘要：
最近提出的产品景观方法，以解决层次问题，如宇宙学常数的问题。我们建议以对数尺度上的参数分布作为等级划分的基准，从分布峰值可以得到偏好的等级尺度。结果表明，从纯粹的产品分布生成层次结构是非常低效的。为了达到一个合理的可接受的效率，其他的效果，如弱层次的积累，在有效的理论应该被纳入。
英文摘要：
The product landscape method has been recently proposed to solve hierarchy problems such as the cosmological constant problem. We suggest that the parameter distribution on logarithmic scales should be used as a benchmark for hierarchy, and the preferred hierarchy scales can be obtained from the distribution peak. It is shown that generating hierarchy from purely product distribution is very inefficient. To achieve a reasonably acceptable efficiency, other effects such as accumulation of weak hierarchy in the effective theory should be incorporated.
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