Using machine learning to optimise chameleon fifth force experiments
Using machine learning to optimise chameleon fifth force experiments
复制标题
使用机器学习优化变色龙第五力实验
DOI：
10.1088/1475-7516/2024/02/011
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发表时间：
2024
影响因子：
6.4
通讯作者：
Briddon C
中科院分区：
文献类型：
--
作者：
Briddon C
变色龙是一种理论上的标量场，它与物质耦合并具有屏蔽机制，这削弱了在物质密度较高的区域进行实验的观测约束。这种屏蔽机制的一个结果是，由场引起的力取决于源质量的形状（将其与重力区分开来的属性）。因此，必须存在使变色龙力最大化的最佳形状。这样的形状将允许实验通过简单地改变源质量的形状来提高它们的灵敏度。在这项工作中，我们使用遗传算法和变色龙解决软件SELCIE的组合，以找到形状，优化力在一个理想化的实验环境中的一个单一的点。我们注意到，我们使用的方法很容易定制，因此可以用于优化涉及粒子轨迹或作用在扩展体上的力的更现实的实验。我们发现由遗传算法输出的形状具有共同的特点，如偏好较小的源质量，和最大的第五个力产生的smallumbrella '样的形状与厚度，使源是未屏蔽的，但字段达到其最小值内的源。即使我们改变了变色龙势、与光源的距离以及变色龙参数的范围，这仍然是最佳形状。我们发现，通过以这种方式优化形状，与以原点为中心的相同体积和质量的球体相比，第五力可以增加2.45倍。
The chameleon is a theorised scalar field that couples to matter and possess a screening mechanism, which weakens observational constraints from experiments performed in regions of higher matter density. One consequence of this screening mechanism is that the force induced by the field is dependent on the shape of the source mass (a property that distinguishes it from gravity). Therefore an optimal shape must exist for which the chameleon force is maximised. Such a shape would allow experiments to improve their sensitivity by simply changing the shape of the source mass. In this work we use a combination of genetic algorithms and the chameleon solving software SELCIE to find shapes that optimise the force at a single point in an idealised experimental environment. We note that the method we used is easily customised, and so could be used to optimise a more realistic experiment involving particle trajectories or the force acting on an extended body. We find the shapes outputted by the genetic algorithm possess common characteristics, such as a preference for smaller source masses, and that the largest fifth forces are produced by smallumbrella'-like shapes with a thickness such that the source is unscreened but the field reaches its minimum inside the source. This remains the optimal shape even as we change the chameleon potential, and the distance from the source, and across a wide range of chameleon parameters. We find that by optimising the shape in this way the fifth force can be increased by 2.45 times when compared to a sphere, centred at the origin, of the same volume and mass.
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DOI：
10.1103/physrevd.93.062001
发表时间：
2016-03
期刊：
Physical review. D. (2016)
影响因子：
--
作者：
Li K;Arif M;Cory DG;Haun R;Heacock B;Huber MG;Nsofini J;Pushin DA;Saggu P;Sarenac D;Shahi CB;Skavysh V;Snow WM;Young AR;INDEX Collaboration
通讯作者：
INDEX Collaboration
影响因子：
5
作者：
A. Ivanov;R. Höllwieser;T. Jenke;M. Wellenzohn;Hartmut Abele
通讯作者：
A. Ivanov;R. Höllwieser;T. Jenke;M. Wellenzohn;Hartmut Abele
影响因子：
8.6
作者：
Brax, Philippe;Pignol, Guillaume
通讯作者：
Pignol, Guillaume
DOI：
10.1088/1475-7516/2015/03/042
发表时间：
2015-03-01
影响因子：
6.4
作者：
Burrage, Clare;Copeland, Edmund J.;Hinds, E. A.
通讯作者：
Hinds, E. A.
影响因子：
8.6
作者：
D. Sabulsky;I. Dutta;E. Hinds;Benjamin Elder;C. Burrage;E. Copeland
通讯作者：
D. Sabulsky;I. Dutta;E. Hinds;Benjamin Elder;C. Burrage;E. Copeland