MUTC Photodetector Dataset
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
# photodetectors <br>
MUTC Photodetector Dataset < br >
This dataset lists four performance metrics of 1755 MUTC photodetectors with 17 layers. < br >
The semiconductor types of these layers are fixed and they can be found in https://doi.org/10.1364/OE.27.003717 < br >
**Columns** < br >
phasenoise : true phasenoise of the photodetector (Unit: dBc/Hz) < br >
phasenoise_15mA : hypothetical phasenoise of the photodetector if the output current was equal to 15 mA (Unit: dBc/Hz) < br >
current : average current of the photodetector (Unit: mA) < br >
IR_max : maximum value of the impulse response of the photodetector < br >
decay_time: the time it takes for the impulse response to decay from its maximum value to 1% of that maximum value (Unit: ns) < br >
t1 ... t17 : thickness each layer (Unit: nm) < br >
d1 ... d17 : doping concentration of each layer (Unit: cm^-3) < br >
**Forward Problem:** < br >
Predicting Performance Metric From Design Parameters < br >
The four machine learning algorithms, linear regression, k-nearest neighbor, random forest, and an artificial neural network, are used to predict performance metrics (phasenoise, current, IR_Max, and decay_time) from the design parameters (thicknesses and doping concentrations)
