A. Tonoyan, A. Sargsyan, R. Momier, C. Leroy, D. Sarkisyan
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引用次数: 0
摘要
摘要磁感应(MI)跃迁 Fg = 1 → 87Rb D2 线的 Fe = 3 是激光物理学中最有应用前景的原子跃迁之一。它们在 0.2-2 kG 磁场范围内达到最大强度,比许多传统原子跃迁更强烈。MI 变换的一个重要特征是相对于未受扰动的超正弦变换具有较大的频率偏移,在约 3 kG 的磁场中达到约 12 GHz,同时它们形成于光谱的高频翼上,不会与其他变换重叠。对于 MI 5S1/2 → 5P3/2 转变(λ = 780 nm),已经证明了一些重要的特殊性。特别是,研究表明,使用厚度为 L = 100 nm 的纳米电池可以实现 1 μm 的空间分辨率,这在确定具有强空间梯度(3G/μm)的磁场时非常重要。早些时候,我们对 n = 5 的 5S1/2 → nP3/2 转变进行了研究,而理论上 n = 6、7、8 和 9 的转变也很有前景,分别对应于 420.2、358.7、334.9 和 322.8 nm 的转变波长。
Formation of Narrow Atomic Lines of Rb in the UV Region Using a Magnetic Field
Abstract
Magnetically induced (MI) transitions Fg = 1 → Fe = 3 of 87Rb D2 line are among the most promising atomic transitions for applications in laser physics. They reach their maximum intensity in the 0.2–2 kG magnetic field range and are more intense than many conventional atomic transitions. An important feature of MI transitions is their large frequency shift with respect to the unperturbed hyperfine transitions which reaches ~12 GHz in magnetic fields of ~3 kG, while they are formed on the high-frequency wing of the spectrum and do not overlap with other transitions. Some important peculiarities have been demonstrated for the MI 5S1/2 → 5P3/2 transitions (λ = 780 nm). Particularly, it was shown that using a nanocell with thickness L = 100 nm it is possible to realize 1 μm-spatial resolution which is important when determining magnetic fields with strong spatial gradient (of >3G/μm). Earlier, our studies have been performed for 5S1/2 → nP3/2 transition with n = 5, while it is also theoretically shown to be promising for the transitions with n = 6, 7, 8 and 9, corresponding to the transition wavelengths of 420.2, 358.7, 334.9 and 322.8 nm, respectively.
期刊介绍:
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.