Introduction to theory of high-harmonic generation in solids: tutorial
Introduction to theory of high-harmonic generation in solids: tutorial
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DOI：
10.1364/josab.448602
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
L. Yue;M. Gaarde
中科院分区：
文献类型：
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作者：
L. Yue;M. Gaarde
近年来，固体中的高次谐波产生(HHG)作为一个迅速发展的交叉学科领域，引起了凝聚态物质以及原子、分子和光学领域的关注。它在新光源的工程设计和固体中超快载流子动力学的探索方面有着令人振奋的前景，从理论上理解这一过程具有重要意义。本教程介绍了凝聚态系统中产生高次谐波的强场激光-物质相互作用的理论描述。我们提供了一个概述，从详细描述不同的计算微观动力学的方法，以及这些方法如何与晶体结构的描述复杂地联系在一起，到半经典再碰撞模型支持的固体中HHG的概念理解，最后简要描述如何计算宏观响应。我们还对Berry相作了一般性的介绍，并讨论了高次谐波模型中的一些重要细节，如结构和激光规范的选择，以及为非简并带和简并带构造光滑和周期性的结构规范。从解决具体问题的能力和数值可行性两方面讨论了不同结构和激光量规选择的优点和缺点。
High-harmonic generation (HHG) in solids has emerged in recent years as a rapidly expanding and interdisciplinary field, attracting attention from both the condensed-matter and the atomic, molecular, and optics communities. It has exciting prospects for the engineering of new light sources and the probing of ultrafast carrier dynamics in solids, and the theoretical understanding of this process is of fundamental importance. This tutorial provides a hands-on introduction to the theoretical description of the strong-field laser-matter interactions in a condensed-phase system that give rise to HHG. We provide an overview ranging from a detailed description of different approaches to calculating the microscopic dynamics and how these are intricately connected to the description of the crystal structure, through the conceptual understanding of HHG in solids as supported by the semiclassical recollision model, and finally a brief description of how to calculate the macroscopic response. We also give a general introduction to the Berry phase, and we discuss important subtleties in the modelling of HHG, such as the choice of structure and laser gauges, and the construction of a smooth and periodic structure gauge for both nondegenerate and degenerate bands. The advantages and drawback of different structure and laser-gauge choices are discussed, both in terms of their ability to address specific questions and in terms of their numerical feasibility.