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