用数字示波器探究光磁共振实验中反常共振信号的机理
EXPLORING THE MECHANISM OF ABNORMAL RESONANCE SIGNALS IN OPTICAL PUMPING MAGNETIC RESONANCE EXPERIMENT USING DIGITAL OSCILLOSCOPE
黄水平 1钱小青1
作者信息
- 1. 宁波大学物理科学与技术学院,浙江宁波 315211
- 折叠
摘要
本文根据拟合得到的gF因子大小,确定了光磁共振实验中的反常共振信号;用数字示波器测量了反常共振射频信号的频谱,计算了反常共振射频信号各高次谐波的大小;通过线性拟合,得到了正常共振信号幅度与射频信号幅度的关系.利用此关系,计算了各高次谐波产生的反常共振信号大小,计算结果与测量值基本一致.频率计连接射频信号源后,射频信号波形和频谱发生明显变化,反常共振信号随着射频信号频谱的变化发生相应改变,进一步证明了反常共振信号由射频信号的高次谐波共振所引起.这些结果表明,用数字示波器探究光磁共振实验中反常共振信号的机理不仅可行,还能定量估算和预测射频信号波形对反常共振信号大小的影响.
Abstract
The abnormal resonance signals in optical pumping magnetic resonance experiment were determined according to the value of gF-factor obtained by fitting.The spectra of the ab-normal resonance radio-frequency signals were measured using digital oscilloscope,and the magnitudes of the higher harmonics were calculated.The relationship between the amplitudes of normal resonance signals and the ones of radio-frequency signals was obtained by the least squares linear fitting.Using the relationship,the magnitude of the abnormal resonance signal engendered by each higher harmonic was estimated.The calculated results are basically con-sistent with the experimental ones.The waveforms and the spectra of the radio-frequency sig-nals change obviously after the frequency meter is connected with the radio-frequency signal generator.The abnormal resonance signals change accordingly with the changes in the RF sig-nal spectrum,which suggests that the abnormal resonance signals are caused by the higher harmonic resonances of the radio-frequency signals.These results show that it is not only fea-sible to explore the mechanism of abnormal resonance signal in optical magnetic resonance ex-periment by digital oscilloscope,but can also quantitatively estimate and predict the influence of radio-frequency signal waveform on the magnitude of abnormal resonance signals.
关键词
光磁共振/反常共振信号/高次谐波/数字示波器Key words
optical pumping magnetic resonance/abnormal resonance signal/high order har-monics/digital oscilloscope引用本文复制引用
基金项目
浙江省高等学校课程思政示范课程建设项目()
宁波大学课程思政一流课程建设项目()
宁波大学教师教育专项研究项目(2022SFJY10)
出版年
2024
国家科技期刊平台
NSTL
万方数据