energy deposition and charge transport in pixellated semiconductor x-ray detectors
DESCRIPTION
Energy deposition and charge transport in pixellated semiconductor X-ray detectors Christer Fröjdh, Hans-Erik Nilsson, Börje Norlin Mid Sweden University, Sundsvall, Sweden. OUTLINE. Background Motivation Charge deposition Charge transport Energy deposition Initial profile - PowerPoint PPT PresentationTRANSCRIPT
2004-07-25Departement of Information Technology and
MediaElectronics Group
1
Energy deposition and charge transport in pixellated semiconductor X-ray detectors
Christer Fröjdh, Hans-Erik Nilsson, Börje Norlin
Mid Sweden University, Sundsvall, Sweden
2004-07-25Departement of Information Technology and
MediaElectronics Group
2
OUTLINE
• Background– Motivation – Charge deposition – Charge transport
• Energy deposition – Initial profile– After charge transport
• Spectral response– Initial spectrum– After charge transport
• Summary and conclusions
2004-07-25Departement of Information Technology and
MediaElectronics Group
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Background
• Significant charge sharing has been noticed in photon counting X-ray detectors
– Which is the dominant effect causing charge sharing in pixel detectors?
• How large is the initial charge cloud?
• What is the effect of X-ray fluorescence?
• What is the effect of diffusion during charge transport?
• We have simulated charge deposition and charge transport in a number of different detectors
2004-07-25Departement of Information Technology and
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Background
• Simulated structures– Pixel size 50 x 50 um
– Layer thickness 500 um
– Materials Si, GaAs and CdTe, Cd0.8Zn0.2Te, TlBr, PbI2
– Charge transport simulated for Si and CdTe assuming Si drift parameters
– Charge deposition simulated with MCNP4C
– Charge transport simulated with MEDICI
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Charge deposition
K (keV)
Zn 8.63
Ga 9.25
As 10.54
Br 11.93
Cd 23.17
Te 27.47
I 28.61
Tl 72.86
Pb 74.96
Primary photon
Photoelectron
Secondary photon
Primary photon
Scattered photon
Compton electron
Photoelectric absorption Compton scattering
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Linear attenuation coefficients
1
10
100
1000
10000
0 20 40 60 80 100
keV
cm-1
GaAs
CdTe
CZT
TlBr
PbI2
Silicon
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Charge transportCharge transport
• The charge transport has been extracted using time resolved drift-diffusion simulations in MEDICI
• 3D-effects has been taking into account using cylindrical coordinates
• Ideal semiconductor materials have been assumed (no effect due to trapping etc)
Cathode
Anode
Initial hit
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Simulated pulse width for 300 um Si and a dental source
FWHM (25 micron)
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Energy deposition
• The energy deposition has been simulated counting the energy deposited in a 2 um thick slice of the detector using a monoenergetic point source located at the centre of the slice. A spatial resolution of 2 um was used during the simulation
Top view
Side view
2 x 2 um
500 um
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Energy deposition at 18 keV
Quantum efficiency (at peak):
Si: 0.17
GaAs: 0.77
CdTe: 0.85
Most energy deposited within 15 m
1,00E-07
1,00E-06
1,00E-05
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
-50 -40 -30 -20 -10 0 10 20 30 40 50
Si
GaAs
CdTe
Si drift
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Energy deposition at 30 keV
Quantum efficiency (at peak)
Si: 0.01
GaAs: 0.47
CdTe: 0.36
1,00E-07
1,00E-06
1,00E-05
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
-50 -40 -30 -20 -10 0 10 20 30 40 50
Si
GaAs
CdTe
Si drift
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Energy deposition at 90 keV
Quantum efficiency (at peak):
Si: 0.004
GaAs: 0.01
CdTe: 0.05
1,00E-07
1,00E-06
1,00E-05
1,00E-04
1,00E-03
1,00E-02
1,00E-01
1,00E+00
-50 -40 -30 -20 -10 0 10 20 30 40 50
Si
GaAs
CdTe
Si drift
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Spectral response
• Pixel size 50 x 50 um
• Layer thickness 500 um
• Uniform illumination with monoenergetic photons
• Response collected from central pixel in an array of at least 20 x 20 pixels
• Energy bin size 1 keV
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Spectral response at 18 keV
Quantum efficiency.
Total Peak
Si 0.44 0.51
GaAs 1.00 0.82
CdTe 1.00 0.96
CZT 1.00 0.95
TlBr 1.00 0.82
PbI2 1.00 0.87
0,000,100,200,300,400,500,600,700,800,901,00
0 5 10 15 20
keV
Rel.
coun
ts
Si
GaAs
CdTe
CZT
TlBr
PbI2
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Spectral response at 30 keV
Quantum efficiency.
Total Peak
Si 0.15 0.10
GaAs 0.98 0.79
CdTe 1.00 0.55
CZT 1.00 0.58
TlBr 1.00 0.83
PbI2 1.00 0.85
0,000,100,200,300,400,500,600,700,800,901,00
0 10 20 30
keV
Rel.
coun
ts
Si
GaAs
CdTe
CZT
TlBr
PbI2
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Spectral response at 90 keV
Quantum efficiency.
Total Peak
Si 0.02 0.001
GaAs 0.18 0.08
CdTe 0.51 0.17
CZT 0.47 0.16
TlBr 0.87 0.19
PbI2 0.77 0.18
0,00
0,05
0,10
0,15
0,20
0,25
0 20 40 60 80 100
keV
Rel.
coun
ts
Si
GaAs
CdTe
CZT
TlBr
PbI2
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Effects of charge sharing
• Spectrum before and after charge transport for Si at 18 and 30 keV and CdTe at 90 keV
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Response from Si at 18 and 30keV
Response from a Si
detector to flood
illumination with
photons at 18keV and
30keV.
The spectrum is
significantly changed
due to charge
sharing.0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
0,5
0 10 20 30
18keV-abs
30kev-abs
18keV-drift
30keV-drift
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Response from CdTe at 90keV
Response from a
CdTe detector to
flood illumination
with photons at
90keV.
The spectrum is
significantly changed
due to charge
sharing.
0
0,02
0,04
0,06
0,08
0,1
0,12
0,14
0,16
0,18
0 20 40 60 80 100
keV
Rel.
coun
ts 90keV-abs
90keV-drift
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Total detector response
• The result for a large area detector (1 x 1 mm2) has been calculated for 30 keV and 90 keV
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Response at 30 keV, over 1 mm2
Quantum efficiency.
Total Peak
Si 0.15 0.10
GaAs 0.98 0.96
CdTe 1.00 0.88
CZT 1.00 0.90
TlBr 1.00 0.96
PbI2 1.00 0.98
0,000,100,200,300,400,500,600,700,800,901,00
0 10 20 30
keV
Rel.
coun
ts
Si
GaAs
CdTe
CZT
TlBr
PbI2
2004-07-25Departement of Information Technology and
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Response at 90 keV, over 1 mm2
Quantum efficiency.
Total Peak
Si 0.02 0.001
GaAs 0.18 0.15
CdTe 0.51 0.42
CZT 0.47 0.40
TlBr 0.87 0.52
PbI2 0.77 0.53
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0 20 40 60 80 100
keV
Rel.
coun
ts
Si
GaAs
CdTe
CZT
TlBr
PbI2
2004-07-25Departement of Information Technology and
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Summary and Conclusions
• We have simulated charge deposition in a number of detector materials and, in some cases, compared the initial signal to the signal collected at the readout electrodes after drift.
– Charge diffusion is causing most of the charge sharing in the detectors
• The initial charge cloud is very narrow, except for fluorescent photons
– X-ray fluorescence in heavy semiconductors degrades the spectral information in the response
• ”Colour X-ray imaging” at higher energies requires methods to correlate related events in several pixels
• In integrating systems the effect is reasonably low since the energy is spread in a large volume