近日，意大利的里雅斯特大学的Davide Giordano Ario Altamura及其研究团队取得一项新进展。经过不懈努力，他们通过形状优化增强坍缩噪声，并进行了连续自发局域化模型的非干涉旋转试验。相关研究成果已于2024年6月11日在国际知名学术期刊《物理评论A》上发表。

该研究团队通过将连续自发局域化（CSL）模型应用于近期短距离引力实验中测量的旋转噪声，成功得出了该模型参数的上界。具体而言，在考虑到旋转运动中的噪声因素后，研究人员发现，即便是桌面实验，其坍缩参数的相关值边界也仅比LIGO的实验结果弱一个数量级。

此外，研究人员分析了优化测试质量形状的可能方法，以提高几个数量级的坍塌噪声，并最终推导出更强的边界，从而解决CSL参数空间的未探索区域。

据悉，连续自发局域化(CSL)模型是目前研究最多的坍缩模型，它描述了宏观系统叠加原理的分解。

附：英文原文

Title: Noninterferometric rotational test of the continuous spontaneous localization model: Enhancement of the collapse noise through shape optimization

Author: Davide Giordano Ario Altamura, Matteo Carlesso, Sandro Donadi, Angelo Bassi

Issue&Volume: 2024/06/11

Abstract: The continuous spontaneous localization (CSL) model is the most studied among collapse models, which describes the breakdown of the superposition principle for macroscopic systems. Here, we derive an upper bound on the parameters of the model by applying it to the rotational noise measured in a recent short-distance gravity experiment [Lee et al., Phys. Rev. Lett. 124, 101101 (2020)]. Specifically, considering the noise affecting the rotational motion, we found that despite being a tabletop experiment the bound is only one order of magnitude weaker than that from LIGO for the relevant values of the collapse parameter. Further, we analyze possible ways to optimize the shape of the test mass to enhance the collapse noise by several orders of magnitude and eventually derive stronger bounds that can address the unexplored region of the CSL parameters space.

DOI: 10.1103/PhysRevA.109.062212

Source: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.109.062212