READ ME File For 'Random-Telegraph-Noise and Wave-Particle-Duality Found in a Silicon Nano-Wire'

Dataset DOI: 10.5258/SOTON/D0507

ReadMe Author: Kouta Ibukuro, University of Southampton

This dataset supports the publication:
AUTHORS: Ibukuro, K et al.
TITLE: Random-Telegraph-Noise and Wave-Particle-Duality Found in a Silicon Nano-Wire
CONFERENCE: International conference on solid state devices and materials


This dataset contains:
All figures that appear in the conference abstract in the folder ‘Figures’.
Raw data for measurement for each figure in the folder ‘Raw_data’.

Figures in the abstract (Figure 1,3,4,5. Fig 2 was omitted by mistake and this was not corrected before submission.) correspond to the files in the folder ‘Figures’ as follows;

Figure 1; Picture1_SSDM.pdf
Figure 3; Picture2_SSDM.pdf
Figure 4; Picture3_SSDM.pdf
Figure 5; Picture4_SSDM.pdf


Figure 3,4,5 were generated based on the experimental data, whose raw data are available in the folder ‘raw_data’.
Below are explanations of how each figure was generated using the raw data.

Figure 3
The following data were used;
x02y03xx02yy01_prsw_TG_FGn1.5.csv
x02y03xx02yy01_prsw_TG_FGn14.csv
x02y03xx02yy01_prsw_TG_FGn12csv
x02y03xx02yy01_prsw_TG_FGn10.csv
x02y03xx02yy01_prsw_TG_FGn08.csv
x02y03xx02yy01_prsw_TG_FGn06.csv
x02y03xx02yy01_prsw_TG_FGn04.csv
x02y03xx02yy01_prsw_TG_FGn02.csv
x02y03xx02yy01_prsw_TG_FG000.csv
x02y03xx02yy01_prsw_TG_FGp15.csv
x02y03xx02yy01_prsw_TG_FGp14.csv
x02y03xx02yy01_prsw_TG_FGp12csv
x02y03xx02yy01_prsw_TG_FGp10.csv
x02y03xx02yy01_prsw_TG_FGp08.csv
x02y03xx02yy01_prsw_TG_FGp06.csv
x02y03xx02yy01_prsw_TG_FGp04.csv
x02y03xx02yy01_prsw_TG_FGp02.csv


Figure 4
The following data were used;
x02y03xx02yy01_timesampling_TG50m_FGn16.csv
x02y03xx02yy01_timesampling_TG50m_FGn14.csv
x02y03xx02yy01_timesampling_TG50m_FGn12.csv
x02y03xx02yy01_timesampling_TG50m_FGn10.csv
x02y03xx02yy01_timesampling_TG50m_FGn08.csv
x02y03xx02yy01_timesampling_TG50m_FGn06.csv
x02y03xx02yy01_timesampling_TG50m_FGn04.csv
x02y03xx02yy01_timesampling_TG50m_FGn02.csv
x02y03xx02yy01_timesampling_TG50m_FG000.csv
x02y03xx02yy01_timesampling_TG50m_FGp02.csv
x02y03xx02yy01_timesampling_TG50m_FGp04.csv


This figure is generated by plotting Drain_I(column G, row 218-end) against Time(column F, row 217-end) for all csv file, superimposed in a single figure, with Time limited from 400s to 900s to focus on RTS events.

Figure 5
(a) The following data were used;
x02y03xx02yy01_timesampling_TG50m_FGp04.csv

This figure is generated by calculating histogram of Drain_I(column G, row 218-end) using histocounts function of Matlab. Drain_I is normalised by its average value over 400s to 900s.

(b) The following data were used;
x02y03xx02yy01_timesampling_TG50m_FGn02.csv

This figure is generated by calculating histogram of Drain_I(column G, row 218-end) using histocounts function of Matlab. Drain_I is normalised by its average value over 400s to 900s.


(c) The following data were used;
x02y03xx02yy01_timesampling_TG50m_FGn08.csv

This figure is generated by calculating histogram of Drain_I(column G, row 218-end) using histocounts function of Matlab. Drain_I is normalised by its average value over 400s to 900s.


(d) The following data were used;
x02y03xx02yy01_timesampling_TG50m_FGn14.csv

This figure is generated by calculating histogram of Drain_I(column G, row 218-end) using histocounts function of Matlab. Drain_I is normalised by its average value over 400s to 900s.



Date of data collection:
6th Apr 2018
x02y03xx02yy01_prsw_TG_FGn1.5.csv
x02y03xx02yy01_prsw_TG_FGn14.csv
x02y03xx02yy01_prsw_TG_FGn12csv
x02y03xx02yy01_prsw_TG_FGn10.csv
x02y03xx02yy01_prsw_TG_FGn08.csv
x02y03xx02yy01_prsw_TG_FGn06.csv
x02y03xx02yy01_prsw_TG_FGn04.csv
x02y03xx02yy01_prsw_TG_FGn02.csv
x02y03xx02yy01_prsw_TG_FG000.csv
x02y03xx02yy01_prsw_TG_FGp15.csv
x02y03xx02yy01_prsw_TG_FGp14.csv
x02y03xx02yy01_prsw_TG_FGp12csv
x02y03xx02yy01_prsw_TG_FGp10.csv
x02y03xx02yy01_prsw_TG_FGp08.csv
x02y03xx02yy01_prsw_TG_FGp06.csv
x02y03xx02yy01_prsw_TG_FGp04.csv
x02y03xx02yy01_prsw_TG_FGp02.csv

9th Apr 2018
x02y03xx02yy01_timesampling_TG50m_FGn16.csv
x02y03xx02yy01_timesampling_TG50m_FGn14.csv
x02y03xx02yy01_timesampling_TG50m_FGn12.csv
x02y03xx02yy01_timesampling_TG50m_FGn10.csv
x02y03xx02yy01_timesampling_TG50m_FGn08.csv
x02y03xx02yy01_timesampling_TG50m_FGn06.csv
x02y03xx02yy01_timesampling_TG50m_FGn04.csv
x02y03xx02yy01_timesampling_TG50m_FGn02.csv
x02y03xx02yy01_timesampling_TG50m_FG000.csv
x02y03xx02yy01_timesampling_TG50m_FGp02.csv
x02y03xx02yy01_timesampling_TG50m_FGp04.csv


Information about geographic location of data collection: University of Southampton, U.K.

Related projects:
This work is supported by EPSRC Manufacturing Fellowship (EP/M008975/1), Lloyds Register Foundation International Consortium of Nanotechnology, and the Joint Research Project e-SI-Amp (15SIB08). This work is also supported by the European Metrology Programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.

Date that the file was created: [27th Novermber, 2018]