1-D Modeling of HgCdTe Photodetectors Operated at ... - nanoHUB

68 downloads 88 Views 4MB Size Report
Computational Electronics. HgCdTe Material Properties. Intrinsic Carrier Concentration. • The above equation was developed by Hansen and Schmidt using the ...
1-D Modeling of HgCdTe Photodetectors Operated at Low Temperatures

Pradyumna Muralidharan Dragica Vasileska

Computational Electronics

Outline • Motivation and need for Infrared Photodetectors • • • •

• • •

HgCdTe Properties Basic Photodetector Parameters The Drift-Diffusion Model Generation – Recombination Models - SRH - Radiative - Auger - Tunneling Rappture Interfacing Results Conclusions and Future Work

Computational Electronics

NEED FOR IR PHOTODETECTORS

History of the development of photodetectors

 Military Applications.  Communication Applications.  Bio-Medical Applications.

Computational Electronics

HgCdTe Material Properties Intrinsic Carrier Concentration

• The above equation was developed by Hansen and Schmidt using the k.p approach with degenerate statistics.

•x

• 50K

0.7

T

300K

Computational Electronics

• All material parameters in HgCdTe are very sensitive to the Cadmium Concentration ‘x’ and the temperature.

• For narrow bandgap HgCdTe the device is almost completely intrinsic near room temperature.

Computational Electronics

Bandgap

• The above equation is provide by Hansen et al. • The equation is valid for 0 and 4.2 K T 300 K

Computational Electronics

x

0.6

Effective Masses = 0.55

• Electrons have low effective mass as compared to the holes.

Permittivity

Computational Electronics

Mobility

Electron Mobility

Hole Mobility

Computational Electronics

Computational Electronics

PHOTODETECTOR PARAMETERS

• Quantum Efficiency • Response Times • Noise • Detectivity

Computational Electronics

Quantum Efficiency • Quantum Efficiency :

d > Lp

d < Lp

Factors affecting Quantum Efficiency • Photosensitive Area (width of space – charge region) • Reflection Co-Efficient • Absorption Co-Efficient Computational Electronics

RESPONSE TIMES • Transit Time Average time taken by the electron to reach the contact after generation inside the space charge region.

1-D Node point visualization of the device.

Computational Electronics

RC Constant Depletion Capacitance :

Diffusion Capacitance :

Computational Electronics

NOISE • Shot Noise : The fluctuations in the velocities of free carriers due to their random motion and the random thermal generation rates jointly give rise to shot noise.

• Johnson Noise : The shunt resistance, load resistance and series resistance contribute to the Johnson noise.

Computational Electronics

DETECTIVITY It is a primary figure of merit for any Infrared detector and is given by:

R is the effective dynamic resistance and is given by :

R0 is the zero bias resistance and RL is the load resistance.

Computational Electronics

THE DRIFT DIFFUSION APPROACH Initialize Parameters • Mesh Parameters • Discretization Coefficients • Doping Density • Potential based on charge neutrality Equilibrium Solver Solve Equilibrium Poisson’s equation

Solve Electron Continuity equation

Solve Hole Continuity equation

Solve Non-Equilibrium Poisson’s equation Non-Equilibrium Solver Results

Computational Electronics

POISSON’S EQUATION Poisson’s Equation :

Finite Difference Representation :

Computational Electronics

CONTINUITY EQUATIONS Electron Continuity Equation :

Holes Continuity Equation :

Finite Difference Scheme : • Electrons

• Holes

Computational Electronics

NUMERICAL METHODS • LU Decomposition Matrix representation of the equation :

 Fast and efficient for 1-D device structures.  Does not converge for temperatures below 60 K with addition of impurity levels due to high oscillating error.

Computational Electronics

• Successive Over Relaxation Method

is the relaxation parameter

 Convergence is slower than LU.  Converges even at temperatures below 60 K.  The relaxation parameter can be used to over-damp or under damp the error which helps in convergence.

Computational Electronics

GENERATION-RECOMBINATION MODELS • Shockley – Read – Hall Mechanism

 In

with x = 0.225, SRH is a dominating factor at lower

temperatures.

 SRH lifetimes depends on Trap concentrations and capture coefficient.

Computational Electronics

SRH R-G TERM :

SRH Lifetimes :

Computational Electronics

• Auger Mechanism

 Auger generation is heavily dominant at higher temperatures.

 Responsible for very high dark current at elevated temperatures.

 Auger -1 mechanism is the dominant process in n type HgCdTe.

 Auger -7 mechanism is the dominant process in p type HgCdTe.

Computational Electronics

Auger Lifetimes :

Intrinsic Auger Lifetime :

Auger -1 Lifetime :

Auger - 7 Lifetime :

Computational Electronics

Auger R-G TERM :

Computational Electronics

• Radiative Mechanism Band to Band type of recombination which involves direct annihilation of a conduction band electron with a valence band hole. It is more significant at lower temperatures.

R-G Term

Computational Electronics

Radiative Lifetime :

τ Rad

1 = B (no + po )

Computational Electronics

• Band To Band Tunneling

 Important mechanism in narrow bandgap HgCdTe at low temperatures.

 Tunneling model based on W.K.B approximation.

Jozwikowski, K.; Kopytko, M.; Rogalski, A.; Jozwikowska, A.; , "Enhanced numerical analysis of current-voltage characteristics of long wavelength infrared n-on-p HgCdTe photodiodes," Journal of Applied Physics , vol.108, no.7, pp.074519-074519-11,Oct2010

 This generation term can easily be integrated into the G-R terms of the continuity equation.

Computational Electronics

• Trap Assisted Tunneling  This model is implemented by introducing a R-G term.

 The 

term in the standard ‘SRH’

terms are field effect functions.