Analysis method for detecting topological defect dark matter with a global magnetometer network
Analysis method for detecting topological defect dark matter with a global magnetometer network
复制标题
DOI：
10.1016/j.dark.2020.100494
复制
发表时间：
2020-05-01
影响因子：
5.5
通讯作者：
Wickenbrock, Arne
中科院分区：
文献类型：
--
作者：
Masia-Roig, Hector;Smiga, Joseph A.;Wickenbrock, Arne
全球光学磁力计网络用于奇异物理学搜索（GNOME）是一个时间同步、地理分离的光泵原子磁力计网络，用于搜索预示奇异物理学的相关瞬态信号。GNOME对原子自旋与某些类别的暗物质候选者（如轴子）的奇异耦合很敏感。这项工作提出了一个数据分析程序，以搜索轴子暗物质的拓扑缺陷的形式：具体地说，在轴子场的离散退化真空域分离的墙壁。穿过地球的轴子畴壁在网络中产生了一种独特的信号模式，可以与随机噪声区分开来。使用模拟数据的分析过程的可靠性和GNOME的域壁交叉的敏感性进行了研究。(C)2020由爱思唯尔公司出版
The Global Network of Optical Magnetometers for Exotic physics searches (GNOME) is a network of time-synchronized, geographically separated, optically pumped atomic magnetometers that is being used to search for correlated transient signals heralding exotic physics. GNOME is sensitive to exotic couplings of atomic spins to certain classes of dark matter candidates, such as axions. This work presents a data analysis procedure to search for axion dark matter in the form of topological defects: specifically, walls separating domains of discrete degenerate vacua in the axion field. An axion domain wall crossing the Earth creates a distinctive signal pattern in the network that can be distinguished from random noise. The reliability of the analysis procedure and the sensitivity of the GNOME to domain-wall crossings are studied using simulated data. (C) 2020 Published by Elsevier B.V.