Data underlying the publication "Large-Range Tuning and Stabilization of the Optical Transition of Diamond Tin-Vacancy Centers by In-Situ Strain Control"

Data underlying the research article "Large-Range Tuning and Stabilization of the Optical Transition of Diamond Tin-Vacancy Centers by In-Situ Strain Control". In this physics experiment, we demonstrate the frequency tuning and stabilization of the resonant frequency of SnV centers in diamond.The dataset contains the measured data and the python code to analyse and reproduce the figures shown in the main text. The measurements are conducted with the Python 3 framework Quantum Measurement Interface (QMI) and data is collected with Python-based data acquisition framework Quantify. The measured and simulated data is stored in individual hdf5 files. Analysed data is stored in hdf5 files named processed dataset.<br>Read the README.txt<br>.ipynb: These are the notebooks that generates the main figures from the paper. It defines functions that are used for the analysis, loads the data, processes and visualizes it.<br>Further information on the acquisition and the processing of the data can be found in the supplementary of the paper.<br>

本研究论文《基于原位应变调控实现金刚石锡空位(SnV)色心光学跃迁的大范围调谐与稳定》的配套研究数据。本物理实验展示了金刚石中锡空位(SnV)色心共振频率的调谐与稳定方法。本数据集包含实测数据，以及用于分析并复现正文配图的Python代码。实验测量基于Python 3框架量子测量接口（Quantum Measurement Interface, QMI）完成，数据采集使用基于Python的数据采集框架Quantify。实测与仿真数据分别存储于独立的HDF5文件中，经处理后的分析数据存储于名为processed dataset的HDF5文件内。
请阅读README.txt文件
*.ipynb：此类文件用于生成论文中的主配图，其定义了分析所用的函数，可加载数据、完成数据处理与可视化工作。
更多关于数据采集与处理的细节，请参见论文的补充材料。