标题： 用于研究激光等离子体实验中气体和等离子体密度的成像干涉测量分析的新技术 显示英文标题

标题： Novel techniques of imaging interferometry analysis to study gas and plasma density for laser-plasma experiments

摘要： 激光等离子体相关的实验对在相互作用过程中产生的等离子体特性总是有更高的要求。 这对于激光等离子体加速以及惯性约束聚变实验也同样适用。 大多数这些实验正朝着高重复率操作模式发展，这使得对等离子体源和诊断技术的要求变得更加严格。 \\ 干涉测量是一种最常用的表征这些源的方法，因为它可以实现非干扰性的、单次测量中性气体或等离子体密度。 干涉测量装置的设计并不简单，需要根据实验的实际条件进行调整。 同样，原始数据的分析是一项复杂的任务，容易受到多种误差来源的影响，并且依赖于手动输入。 \\ 在这项工作中，我们将介绍我们开发的用于分析干涉图以测量气体和等离子体密度的技术。 我们将展示方法、进展以及我们在基于机器学习的新分析程序开发过程中遇到的问题。 用于训练和测试这些程序的数据架构和获取方法将被介绍。 该研究正在进行中，将展示使用合成数据的初步结果。 目标是建立一个快速且与操作员无关的诊断系统，用于等离子体源在高重复率实验中的反馈。 显示英文摘要

摘要： Laser-plasma based experiments are always more demanding about the plasma characteristics which need to be generated during the interaction. This is valid for laser-plasma acceleration as well as for inertial confinement fusion experiments. Most of these experiments are moving toward high repetition rate operation regimes, making even more demanding the requests on the plasma sources and the diagnostics to be implemented.\\ Interferometry is one of the most used methods to characterize these sources, since it allows for non-perturbative, single-shot measurements either of the neutral gas or the plasma density. The design of the interferometric setup is non-trivial and needs to be shaped on the actual conditions of the experiment. Similarly, the analysis of the raw data is a complex task, prone to many sources of error and dependent on the manual inputs.\\ In this work, we will present the techniques we are developing for the analysis of the interferograms to measure both the gas and plasma density. We will show the methods, the progress and the problems we encountered in the development of novel routines of analysis based on machine learning. The architectures and the methods to obtain data used for training and testing them will be introduced. The study is ongoing and preliminary results with synthetic data will be presented. The goal is to set up a fast and operator independent diagnostic for the feedback of plasma sources toward high repetition rate experiments.