ARCHIVE
Hole.zip (19.24 kB)
ARCHIVE
Electron.zip (19.63 kB)
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Fig 3b.PNG (189.93 kB)
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Fig S1.PNG (174.8 kB)
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Fig S2.PNG (168.43 kB)
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Fig S3.PNG (167.32 kB)
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Fig S4.PNG (169.75 kB)
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Fig S5.PNG (181.05 kB)
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Fig 1.PNG (162.48 kB)
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Fig 2a.PNG (172.47 kB)
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Fig 2b.PNG (184.6 kB)
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Fig 3a.PNG (221.96 kB)
DATASET
Fig 1.CSV (95.21 kB)
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Fig 2a.CSV (23.54 kB)
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Fig 2b.csv (9.8 kB)
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Fig 3a.csv (12.76 kB)
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Fig 3b.csv (7.07 kB)
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Fig 4 Measured Results.csv (40.42 kB)
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Fig S1.csv (11.03 kB)
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Fig S2.csv (11 kB)
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Data for Paper: Modeling Temperature dependent Avalanche Characteristics of InP
Version 2 2019-10-15, 11:35
Version 1 2019-10-15, 11:22
dataset
posted on 2019-10-15, 11:35 authored by Jonathan PetticrewJonathan Petticrew, Simon Dimler, Chee TanChee Tan, Jo NgJo NgThe files in this repository correspond to the results shown in the paper, "Modeling Temperature dependent Avalanche Characteristics of InP" published in the IEEE Journal of Lightwave Technology.
The .png files are the figures as in the paper and the .csv and .txt files contain the raw data used to create these figures. The raw probability density data is available in the folders, where the electron data is available in the "electron" folder and the "hole" data is available in the hole folder, each folder is subdivided by temperature.
The naming convention of the raw probability density files is "electric field(kV/cm)"_"e(electron) or h(hole)"_pdf.txt
This paper focuses on a simple monte carlo model for Indium Phosphide avalanche diodes capable of predicting the temperature dependent avalanche gain, and corresponding impact ionization coefficients.
Funding
EP/M506618/1
History
Ethics
- There is no human data or any that requires ethical approval
