Data and Code for Spin and Orbital Spectroscopy in the Absence of Coulomb Blockade in Lead Telluride Nanowire Quantum Dots

<p>This repository contains combined data for two papers.&nbsp;</p> <p>Growth of PbTe nanowires by Molecular Beam Epitaxy<br> Authors: Sander G. Schellingerhout, Eline J. de Jong, Maksim Gomanko, Xin Guan, Yifan Jiang, Max S.M. Hoskam,<br> Sebastian Koelling, Oussama Moutanabbir, Marcel A. Verheijen, Sergey M. Frolov, Erik P.A.M. Bakkers</p> <p><br> Spin and Orbital Spectroscopy in the Absence of Coulomb Blockade in Lead Telluride Nanowire Quantum Dots<br> Authors: M. Gomanko, E.J. de Jong, Y. Jiang, S.G. Schellingerhout, E.P.A.M. Bakkers, and S.M. Frolov</p> <p><br> Content of this repository:&nbsp;</p> <p>Readme file.&nbsp;</p> <p>/RawData/<br> Original data obtained at the time of measurement separated into 3 folders from different chips/cooldowns<br> Data from devices 1,3 and 4 can be found in &quot;RawData/PbTe_chip1&quot;, device 2 in &quot;RawData/PbTe_chip2&quot; and devices 5-8 in &quot;RawData/PbTe_GBg&quot;</p> <p>/Measurement notebooks/<br> OneNote notebook with 4 different sections for 3 chips (two sections for backgate chip). Pages in these sections contain the device number in the name.<br> Also, the same notebook is exported in pdf format for convenience.</p> <p>/Data processing/<br> Readme file, Jupiter notebooks, data files, and pictures, that were&nbsp;used to extract g-factors for different field orientations in device2.</p> <p>/Data summaries/<br> Powerpoints, that were used to overview data during the measurement stage.<br> Not all data from these powerpoints are present in the repository or paper (specifically excluding early data used in &quot;additional backgate devices.pptx&quot; and &quot;PbTe 3rd device.pptx&quot;).</p> <p>Data file types:</p> <p>data_NNN.dat &nbsp;- the original data file obtained at the time of the experiment<br> dataNNN.py &nbsp;&nbsp;&nbsp;- the original QTLab data acquisition script saved with data<br> data_NNN.set &nbsp;- settings of measurement instruments at the time of measurement<br> data_NNN.meta - auxillary file necessary for plotting data using SpyView (see below)&nbsp;<br> data_NNN.MTX &nbsp;- a simple 2D/3D matrix format developed for Spyview</p> <p>NNN stands for dataset number, automatically indexed by QTLab</p> <p><br> How to plot data:</p> <p>1) Spyview - a free data plotting program written by Gary Steele</p> <p>Data in this repository can be simply dropped into Spyview for plotting.&nbsp;</p> <p>Spyview also produces and can read .mtx files which are available for some of the data in this repository.</p> <p>https://nsweb.tn.tudelft.nl/~gsteele/spyview/</p> <p><br> 2) QTPlot - a Python plotter written by Ruben van Gulik</p> <p>Data in this repository can be directly opened with QTPlot, which will read axis labels.</p> <p>https://github.com/Rubenknex/qtplot</p> <p>Note: requires PyQT4</p>