Tunneling spectroscopy probing gap closing and reopening in topological-insulator Josephson junctions - Dataset

This dataset contains experimental and numerical data as presented in the revised manuscript 'Tunneling spectroscopy probing gap closing and reopening in topological-insulator Josephson junctions' by Jakob Schluck, Ella Nikodem, Anton Montag, Alexander Ziesen, Mahasweta Bagchi, Fabian Hassler, and Yoichi Ando. The data presented in the experimental figures is given in csv files, where the physical quantities and their units are described in the headers. The matlab code used for generating the parameter sweeps presented in figure 3b and figure 5 can be found in the simulations folder. Regarding the data presented in figure 2a and 2b as well as supplementary figure S13, obtained by numerical simulations, please consider the following: simulation.py: Program used for the Kwant-simulation. It produces the file 'data.npz'. N denotes the number of points that have to be calculated along energy and phase. plot.py: Program that uses 'data.npz' as input and produces the plot shown in the manuscript. The temperature is introduced by smearing the zero-temperature data with the Fermi functions due to the lead. As the BCS peak is very sharp, we are not sure that we hit it for each value of the phase. Because of this, we postprocess the data by a running average over 100 points in the phase. data.npz: Data-file in numpy format The conductance for zero temperature is saved on a regular grid 'xs': the energy values 'ys': the phase values 'data': the conductance values Note that the values in the file are obtained by a combination of different runs where care have been taken to sample more points close to the BCS peak, followed by an interpolation to bring the data on a regular grid. Because of the interpolation, the values reported in the file 'data.npz' can slightly differ from the value obtained by running simulation.py at the respective point.本数据集包含Jakob Schluck、Ella Nikodem、Anton Montag、Alexander Ziesen、Mahasweta Bagchi、Fabian Hassler与Yoichi Ando修订后稿件《隧穿光谱探测拓扑绝缘体约瑟夫森结的间隙闭合与再开放》（Tunneling spectroscopy probing gap closing and reopening in topological-insulator Josephson junctions）中呈现的实验与数值数据。 实验绘图对应的数据以CSV（Comma-Separated Values）文件格式存储，文件头已标注各物理量及其对应单位。 用于生成图3b与图5中参数扫描结果的Matlab代码，可在simulations文件夹中获取。 针对图2a、2b及补充图S13的数值模拟数据，请参考如下说明： simulation.py：用于Kwant模拟的程序，可生成文件"data.npz"。其中参数N代表沿能量与相位方向需计算的采样点数。 plot.py：以"data.npz"作为输入文件，可生成稿件中展示的对应绘图。 通过电极的费米函数对零温数据进行展宽处理，以此引入温度效应。 鉴于BCS（Bardeen-Cooper-Schrieffer）峰极为尖锐，我们无法确保在每个相位取值下都能精准捕获该峰。为此，我们沿相位方向对100个采样点进行滑动平均，以此完成数据后处理。 data.npz：numpy（Numerical Python）格式的数据文件。零温电导数据保存在规则网格上，各字段含义如下：'xs'为能量取值数组，'ys'为相位取值数组，'data'为电导数值数组。 请注意，该文件中的数据由多次独立计算的结果组合得到：我们首先在BCS峰附近进行了加密采样，随后通过插值将数据规整至规则网格。由于插值操作的影响，"data.npz"中的报告值与直接运行simulation.py在对应点位得到的计算结果可能存在细微差异。