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Course: Quantum Electronics
Arpan Deyasi
Topic: Effect of Band nonparabolicity
on Eigenstates
1
Arpan Deyasi, RCCIIT
1/17/2021
1/17/2021 2Arpan Deyasi, RCCIIT
Z
DQWTB structure
1/17/2021 Arpan Deyasi, RCCIIT 3
Graphical representation of Transmission Coefficient
E0
E
T(E)
E1 E2 E3
1/17/2021 Arpan Deyasi, RCCIIT 4
Schrödinger Equation for well region
for V=0
2
2
22
( )
( ) ( ) 0
d z
z z
dz
ψ
κ ψ+ =
*
2 2
2 ( )wm z E
κ =

Schrödinger Equation for barrier region
2
2
22
( )
( ) ( ) 0
d z
z z
dz
ψ
κ ψ+ =
for V=V0
( )*
0
1 2
2 ( )bm z E V
κ
−
=

Parabolic Dispersion Relation
1/17/2021 5Arpan Deyasi, RCCIIT
Ideal; most of the materials do not obey the relationship
2 2
*
2
E
m
κ
=

E
k
1/17/2021 Arpan Deyasi, RCCIIT 6
2 2
2
*
(1 ...)
2
E E E
m
κ
α β+ + + =

Nonparabolic Dispersion Relation
E
k
1/17/2021 7Arpan Deyasi, RCCIIT
α, β,…. are nonparabolic coefficients
Expressions of κ1 & κ2 will change
Magnitudes of band nonparabolic coefficients
control the energy states
1/17/2021 8Arpan Deyasi, RCCIIT
Modified wave-vectors
*
2 2
2 ( ) (1 )wm z E Eα
κ
+
=

for well region
Consider first-order band nonparabolicity
*
0
1 2
2 ( )[ (1 ) ]bm z E E Vα
κ
+ −
=

for barrier region
1/17/2021 Arpan Deyasi, RCCIIT 9
Graphical representation of Transmission Coefficient
E1p
E
T(E)
E2p E3p E4p
E1n E2n E3n
E4n
ΔE21n
ΔE21p
ΔE32n
ΔE32p
ΔE31n
ΔE31p
N
P
1/17/2021 10Arpan Deyasi, RCCIIT
Effect of nonparabolic coefficients
1. Energy values will be lowered
2. The effect will be more significant for higher order
states
3. Corresponding intersubband transition energy will be
reduced
4. Operating wavelength of the photodetector will be
enhanced
1/17/2021 11Arpan Deyasi, RCCIIT
Algorithm to calculate transmission coefficient using TMT
S1: Input parameters: ‘a’, ‘b’, ‘mb
*’, ‘mw
*’, ‘V0’
S2: Consider energy range of interest (E<V0)
S3: Calculate wave vectors ‘κ1’ and ‘κ2’
S4: Calculate interface matrices ‘Mi’
S5: Calculate composite interface matrix ‘M’
S6: Calculate transmission coefficient from ‘M11’
1/17/2021 Arpan Deyasi, RCCIIT 12
Algorithm to calculate transmission coefficient using PMM
S1: Input parameters: ‘a’, ‘b’, ‘mj
*’, ‘Vj’
S2: Consider energy range of interest (E<V0)
S3: For energy ‘Ej’, calculate wave number ‘κj’ for each
position in the potential ‘Vj’
S5: Consider generalized length ‘Lj’ between two consecutive
points
S4: Calculate junction matrix ‘Pjunc(j)’ between any two
consecutive points inside the structure
1/17/2021 Arpan Deyasi, RCCIIT 13
Algorithm to calculate transmission coefficient using PMM
S7: Calculate total propagation matrix ‘Pprop(j)’ as a
Cartesian product of junction matrix and step matrix
S6: Calculate step matrix ‘Pstep(j)’ between any two
consecutive points inside the structure
S8: Repeat it for every points inside the structure
S9: Calculate transmission coefficient from ‘P11’
1/17/2021 Arpan Deyasi, RCCIIT 14
Quasi-peak
As per the transmission coefficient profile, eigenenergy states
are obtained from sharp peaks
This implies are energy states are very thin levels
Practically all energy bands consist of multiple energy levels
Henceforth, there should exist finite width of energy peak
1/17/2021 Arpan Deyasi, RCCIIT 15
Quasi-peak
Practically, one small peak is associated with every principle
peak with a small finite energy difference
The second peak is called quasi-peak
1/17/2021 Arpan Deyasi, RCCIIT 16
E1
E
T(E)
E2 E3
E4
Quasi-peak in Transmission Coefficient profile
E1qp E2qp E3qp E4qp

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Band nonparabolicity effect on eigenstates

  • 1. Course: Quantum Electronics Arpan Deyasi Topic: Effect of Band nonparabolicity on Eigenstates 1 Arpan Deyasi, RCCIIT 1/17/2021
  • 2. 1/17/2021 2Arpan Deyasi, RCCIIT Z DQWTB structure
  • 3. 1/17/2021 Arpan Deyasi, RCCIIT 3 Graphical representation of Transmission Coefficient E0 E T(E) E1 E2 E3
  • 4. 1/17/2021 Arpan Deyasi, RCCIIT 4 Schrödinger Equation for well region for V=0 2 2 22 ( ) ( ) ( ) 0 d z z z dz ψ κ ψ+ = * 2 2 2 ( )wm z E κ =  Schrödinger Equation for barrier region 2 2 22 ( ) ( ) ( ) 0 d z z z dz ψ κ ψ+ = for V=V0 ( )* 0 1 2 2 ( )bm z E V κ − = 
  • 5. Parabolic Dispersion Relation 1/17/2021 5Arpan Deyasi, RCCIIT Ideal; most of the materials do not obey the relationship 2 2 * 2 E m κ =  E k
  • 6. 1/17/2021 Arpan Deyasi, RCCIIT 6 2 2 2 * (1 ...) 2 E E E m κ α β+ + + =  Nonparabolic Dispersion Relation E k
  • 7. 1/17/2021 7Arpan Deyasi, RCCIIT α, β,…. are nonparabolic coefficients Expressions of κ1 & κ2 will change Magnitudes of band nonparabolic coefficients control the energy states
  • 8. 1/17/2021 8Arpan Deyasi, RCCIIT Modified wave-vectors * 2 2 2 ( ) (1 )wm z E Eα κ + =  for well region Consider first-order band nonparabolicity * 0 1 2 2 ( )[ (1 ) ]bm z E E Vα κ + − =  for barrier region
  • 9. 1/17/2021 Arpan Deyasi, RCCIIT 9 Graphical representation of Transmission Coefficient E1p E T(E) E2p E3p E4p E1n E2n E3n E4n ΔE21n ΔE21p ΔE32n ΔE32p ΔE31n ΔE31p N P
  • 10. 1/17/2021 10Arpan Deyasi, RCCIIT Effect of nonparabolic coefficients 1. Energy values will be lowered 2. The effect will be more significant for higher order states 3. Corresponding intersubband transition energy will be reduced 4. Operating wavelength of the photodetector will be enhanced
  • 11. 1/17/2021 11Arpan Deyasi, RCCIIT Algorithm to calculate transmission coefficient using TMT S1: Input parameters: ‘a’, ‘b’, ‘mb *’, ‘mw *’, ‘V0’ S2: Consider energy range of interest (E<V0) S3: Calculate wave vectors ‘κ1’ and ‘κ2’ S4: Calculate interface matrices ‘Mi’ S5: Calculate composite interface matrix ‘M’ S6: Calculate transmission coefficient from ‘M11’
  • 12. 1/17/2021 Arpan Deyasi, RCCIIT 12 Algorithm to calculate transmission coefficient using PMM S1: Input parameters: ‘a’, ‘b’, ‘mj *’, ‘Vj’ S2: Consider energy range of interest (E<V0) S3: For energy ‘Ej’, calculate wave number ‘κj’ for each position in the potential ‘Vj’ S5: Consider generalized length ‘Lj’ between two consecutive points S4: Calculate junction matrix ‘Pjunc(j)’ between any two consecutive points inside the structure
  • 13. 1/17/2021 Arpan Deyasi, RCCIIT 13 Algorithm to calculate transmission coefficient using PMM S7: Calculate total propagation matrix ‘Pprop(j)’ as a Cartesian product of junction matrix and step matrix S6: Calculate step matrix ‘Pstep(j)’ between any two consecutive points inside the structure S8: Repeat it for every points inside the structure S9: Calculate transmission coefficient from ‘P11’
  • 14. 1/17/2021 Arpan Deyasi, RCCIIT 14 Quasi-peak As per the transmission coefficient profile, eigenenergy states are obtained from sharp peaks This implies are energy states are very thin levels Practically all energy bands consist of multiple energy levels Henceforth, there should exist finite width of energy peak
  • 15. 1/17/2021 Arpan Deyasi, RCCIIT 15 Quasi-peak Practically, one small peak is associated with every principle peak with a small finite energy difference The second peak is called quasi-peak
  • 16. 1/17/2021 Arpan Deyasi, RCCIIT 16 E1 E T(E) E2 E3 E4 Quasi-peak in Transmission Coefficient profile E1qp E2qp E3qp E4qp