高斯白噪声的频谱整形用于微波腔卤oscope中合成轴子信号生成

中文摘要 AI 辅助

微波腔卤oscope通过静态磁场中轴子-光子转换产生的弱电磁场来搜寻暗物质轴子。真实的合成信号对于接收机的端到端校准、分析流程的验证、信号恢复效率的测量以及盲注入研究至关重要。在此，我们提出一种通用方法，通过在频域对高斯白噪声进行整形来生成随机合成轴子波形。目标轴子功率谱密度直接施加于傅里叶系数上，并利用重叠-保存实现高效生成任意长的连续时间流。该方法再现了系综平均谱线形状以及经典轴子场预期的时间域涨落，同时直接控制总注入功率。由于谱模型仅通过可替换的传递函数引入，该程序可适应标准晕模型以及非标准速度分布和窄子结构。

英文摘要

Microwave cavity haloscopes search for dark-matter axions through the weak electromagnetic field generated by axion-photon conversion in a static magnetic field. Realistic synthetic signals are essential for end-to-end calibration of the receiver, validation of the analysis pipeline, measurement of signal recovery efficiency, and blind-injection studies. Here, we present a general method for producing stochastic synthetic axion waveforms by shaping Gaussian white noise in the frequency domain. The target axion power spectral density is imposed directly on the Fourier coefficients, and arbitrarily long continuous time streams are generated efficiently using an overlap-save implementation. The method reproduces both the ensemble-averaged spectral line shape and the time-domain fluctuations expected for a classical axion field, while providing direct control of the total injected power. Because the spectral model enters only through a replaceable transfer function, the routine can accommodate the Standard Halo Model as well as nonstandard velocity distributions and narrow substructure.

发表机构

• Dipartimento di Fisica e Astronomia（物理与天文系）
• INFN, Sezione di Padova（意大利国家核物理研究所帕多瓦分部）
• INFN, Laboratori Nazionali di Legnaro（意大利国家核物理研究所莱尼亚罗实验室）

机构由 AI 辅助整理，请以论文原文为准。