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Published April 29, 2026 | Version v3

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

  • 1. ROR icon University of Cologne
  • 2. ROR icon RWTH Aachen University
  • 3. ROR icon Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 4. ROR icon Max Planck Society

Description

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.

 

Files

dataset.zip

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