Robust gap closing and reopening in topological-insulator Josephson junctions - Dataset

This dataset contains experimental and numerical data as presented in the revised manuscript 'Robust gap closing and reopening in topological-insulatorJosephson 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 S10, 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.