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Charge Carrier Motion in Semiconductors

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Excerpt from the Proceedings of the COMSOL Users Conference 2006 FrankfurtThe motion of free charge carriers in semiconductors was simulated using the convection and diffusion module in COMSOL. The focus of this work is the sensor layer of the Medipix2 x-ray detector, in our case made of silicon. The charge cloud generated by photon interactions within the sensor material moves through the material due to an applied electric field. The charges are collected by the pixel electrodes attached to the bottom of the sensor layer. The Medipix2 readout ASIC is designed to count single photon interactions and therefore each pixel triggers on the collected charge. The distribution of the charge between the electrodes is the main topic of this work. The interaction point of the x-ray photon in the sensor material, i.e. the staring point of the charge cloud, was varied and the different charge distributions on the electrodes were calculated.
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SEITE 6 COMSOL ANWENDERKONFERENZ 2006 Charge Carrier Motion in Semiconductors Björn Kreisler, Gisela Anton, Jürgen Durst, Thilo Michel Physikalisches Institut Abt.IV, Erwin-Rommel-Straße 1, D-91058 Erlangen, [email protected]. Abstract The motion of free charge carriers in semiconductors was simulated using the convection and diffusion module in COMSOL. The focus of this work is the sensor layer of the Medipix2 x-ray detector, in our case made of silicon. The charge cloud generated by photon interactions within the sensor material moves through the material due to an ap- plied electric field. The charges are collected by the pixel electrodes attached to the bottom of the sensor layer. The Medipix2 readout ASIC is designed to count single photon interactions and therefore each pixel triggers on the coll- ected charge. The distribution of the charge between the electrodes is the main topic of this work. The interaction point of the x-ray photon in the sensor material, i.e. the sta- ring point of the charge cloud, was varied and the different charge distributions on the electrodes were calculated. Keywords diffusion, charge sharing, semiconductor, x-ray detector, Medipix, photon counting 1. Introduction X-ray imaging is a state of the art technique for medical diagnostics, as insights of the human body are possible wi- thout surgery. For these insights, specially resolved detec- tion of the transmitted x-ray photons is necessary. The de- tection can be done with films, gas detectors, scintillation detectors and direct converting semiconductor detectors. The detection efficiency of film is rather bad and as the linear regime of the intensity projection is quite poor, the future is pointed to the direct converting semiconductor detectors. In those detectors, x-ray photons are converted to free moving charges in a semiconductor sensor layer. These free moving charges drift through the sensor ma- terial due to a externally applied electric field. The time it takes the charge cloud to reach the pixelated electrode at- tached to the bottom of the sensor layer enables the charge cloud to broaden its diameter due to diffusion. The spatial resolution of the detection is therefore strongly dependent on the size of the pixels and on the distribution of the char- ge on the pixelated electrode. 2. Simulation 2.1 Governing Equations The motion of the charge cloud in the semiconductor is governed by drift and diffusion. The applied electric field E across the sensor layer results in a drift motion of the charges with direction to the pixelated electrodes and a speed v = mu*E where mu is the mobility constant of the charges in the semiconductor. For very high electric fields, the mobility constant may not be a constant any more, but this effect can be modelled by fitting a curve to the measu- red mobility. The isotropic diffusion process leads to a broadening of the charge cloud. The driving equation for the conservati- ve diffusion process of a concentration c is where D is the diffusion coefficient of the material. 2.2 Methods and Numerical Model The free charges in the semiconductor were simulated by moving a concentration with properties like charges. The concentration was given a specific mobility and diffusion constant. Special care has to be taken of the initial con- centration distribution. As the diffusion process is heavily dependent on the gradient of the concentration, no sharp edges and discontinuities are allowed. In the work presen- ted here, the initial concentration was modelled by a shif- ted cosine which was cut at the first minimum: where r=x-x 0 and r 0 is the maximal radius of the initial con- centration distribution. The variable A allows to control the total amount of charge to be simulated. The sampling rate needs to be of a very good quality for assuring the continuity. The simulation of the charge motion starts with the static calculation of the electric field in the sensor layer with the electrostatic module of COMSOL. The boundary conditi- ons need to be chosen reasonably. In the work presented here, the geometric setup allows the use of the symmetry of the electric field with respect to the centre of the pixel electrode. The motion of the concentration was coupled to this elec- tric field by linking the components of the velocity to the components of local electric field. As mentioned above, the mobility constant needs to be approximated by a function due to the saturation of the velocity for very high electric fields. The diffusion of the concentration due to concen- tration gradients was taken into account by applying an isotropic diffusion constant. Direct electrostatic repulsion of the charges inside the charge cloud was neglected, as the force between the charges is screened by the sensor material even at very short distances. The boundaries for Excerpt from the Proceedings of the COMSOL Users Conference 2006 Frankfurt
Transcript
Page 1: Charge Carrier Motion in Semiconductors

seite 6�

Fachvorträge ii: elektromagnetik

COMSOL ANWENDERKONFERENZ 2006

Charge Carrier Motion in Semiconductors

Björn Kreisler, Gisela Anton, Jürgen Durst, Thilo MichelPhysikalisches Institut Abt.IV, Erwin-Rommel-Straße 1, D-91058 Erlangen, [email protected].

Abstract

The motion of free charge carriers in semiconductors was simulated using the convection and diffusion module in COMSOL. The focus of this work is the sensor layer of the Medipix2 x-ray detector, in our case made of silicon. The charge cloud generated by photon interactions within the sensor material moves through the material due to an ap-plied electric field. The charges are collected by the pixel electrodes attached to the bottom of the sensor layer. The Medipix2 readout ASIC is designed to count single photon interactions and therefore each pixel triggers on the coll-ected charge. The distribution of the charge between the electrodes is the main topic of this work. The interaction point of the x-ray photon in the sensor material, i.e. the sta-ring point of the charge cloud, was varied and the different charge distributions on the electrodes were calculated.

Keywords

diffusion, charge sharing, semiconductor, x-ray detector, Medipix, photon counting

1. Introduction

X-ray imaging is a state of the art technique for medical diagnostics, as insights of the human body are possible wi-thout surgery. For these insights, specially resolved detec-tion of the transmitted x-ray photons is necessary. The de-tection can be done with films, gas detectors, scintillation detectors and direct converting semiconductor detectors. The detection efficiency of film is rather bad and as the linear regime of the intensity projection is quite poor, the future is pointed to the direct converting semiconductor detectors. In those detectors, x-ray photons are converted to free moving charges in a semiconductor sensor layer. These free moving charges drift through the sensor ma-terial due to a externally applied electric field. The time it takes the charge cloud to reach the pixelated electrode at-tached to the bottom of the sensor layer enables the charge cloud to broaden its diameter due to diffusion. The spatial resolution of the detection is therefore strongly dependent on the size of the pixels and on the distribution of the char-ge on the pixelated electrode.

2. Simulation

2.1 Governing Equations

The motion of the charge cloud in the semiconductor is governed by drift and diffusion. The applied electric field E across the sensor layer results in a drift motion of the charges with direction to the pixelated electrodes and a

speed v = mu*E where mu is the mobility constant of the charges in the semiconductor. For very high electric fields, the mobility constant may not be a constant any more, but this effect can be modelled by fitting a curve to the measu-red mobility.

The isotropic diffusion process leads to a broadening of the charge cloud. The driving equation for the conservati-ve diffusion process of a concentration c is

where D is the diffusion coefficient of the material.

2.2 Methods and Numerical Model

The free charges in the semiconductor were simulated by moving a concentration with properties like charges. The concentration was given a specific mobility and diffusion constant. Special care has to be taken of the initial con-centration distribution. As the diffusion process is heavily dependent on the gradient of the concentration, no sharp edges and discontinuities are allowed. In the work presen-ted here, the initial concentration was modelled by a shif-ted cosine which was cut at the first minimum:

where r=x-x0 and r

0 is the maximal radius of the initial con-

centration distribution. The variable A allows to control the total amount of charge to be simulated. The sampling rate needs to be of a very good quality for assuring the continuity.

The simulation of the charge motion starts with the static calculation of the electric field in the sensor layer with the electrostatic module of COMSOL. The boundary conditi-ons need to be chosen reasonably. In the work presented here, the geometric setup allows the use of the symmetry of the electric field with respect to the centre of the pixel electrode.

The motion of the concentration was coupled to this elec-tric field by linking the components of the velocity to the components of local electric field. As mentioned above, the mobility constant needs to be approximated by a function due to the saturation of the velocity for very high electric fields. The diffusion of the concentration due to concen-tration gradients was taken into account by applying an isotropic diffusion constant. Direct electrostatic repulsion of the charges inside the charge cloud was neglected, as the force between the charges is screened by the sensor material even at very short distances. The boundaries for

Excerpt from the Proceedings of the COMSOL Users Conference 2006 Frankfurt

Page 2: Charge Carrier Motion in Semiconductors

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Fachvorträge ii: elektromagnetik

COMSOL ANWEDNERKONFERENZ 2006

the concentration calculation were all set to a fixed con-centration of zero. This allows time dependent studies of the motion of the initial concentration until it touches the boundaries.

3. Results

The direction and speed of the simulated charge cloud mo-tion agree with the expectations. In picture 1, intermediate steps of the time dependent solution of the motion are dis-played. The drift motion is clearly visible, and the distance the concentration peak moves matches with the expected range due to the mobility estimation.

The broadening of the charge cloud due to diffusion pro-cesses can be observed best when looking at its cross section. In picture 2, cross sections through the centre of the charge clouds are shown. The x-axis is displayed in units of micro meters, and the y-axis shows a standardised number of particles. The standardised charge cloud moves from its starting point at 250μm to the right. The time step between two cross sections is 1ns. The centre of the cross section moves due to the electric field. The width increases due to diffusion as strongly as the height decreases. The integrated area under a cross section – a measure for the number of particles – stays approximately the same, as the number of particles only decreases slowly with time due to trapping and recombination. These two effects are simula-ted by an exponential function which reduces of the total amount of charges in the volume.

The starting position of the charge cloud was varied to stu-dy the different charge distributions close to the pixelated electrode on the bottom. In picture 3, the splitting of the charge cloud can clearly be seen as the cloud reaches the pixelated electrode. The starting point in this simulation is set on the edge between two pixels. In this case, the charge is collected by both: the electrode on the left hand side and on the right hand side of the staring point. This sharing effect leads to multiple detections or no detections at all, as the amount of charge collected by one of the electrodes may not be sufficient to trigger a count in the electronics behind the electrode.

Picture 1. Time steps of 1ns separate the image from each other.Picture 2. Cross sections of the moving charge cloud. The time steps bet-ween the cross sections are equally spaced.

Excerpt from the Proceedings of the COMSOL Users Conference 2006 Frankfurt

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4. Discussion and Conclusion

For medical imaging, each transmitted x-ray photon needs to be detected with the best possible spatial resolution. X-ray films offer a resolution on a molecular scale, but have a very poor detection efficiency and a small linear regime for good image quality. To overcome these disadvantages, direct converting photon counting detectors like the Medi-pix2 detector look very promising. The way to an equally good resolution as films is to use smaller pixels. On the other hand, very small pixel suffer from physical effects as the area close to the pixel edge gains a larger portion of the actual pixel area. In this area, parts of the generated charge can diffuse into neighbouring pixels and hence, degrade the spatial resolution given by the small pixels. To find an optimum of the possible resolution with a certain material, it is helpful to simulate the charge cloud motion inside the sensor layer.

Literature

[1] Canali et al., Drift Velocity of Electrons and Holes and Associated Anisotropic Effects in Silicon, Journal of Physics and Chemistry of Solids, 32:1707 (1971).

[2] Mitschke, Evaluation of Different Sensor Materials for the Medipix X-ray Detector, Phd-Thesis, University of Erlangen (2006).

[3] Spieler/Haller, Assessment of Present and Future Lar-ge-Scale Semiconductor Detector Systems, IEEE Trans. Nucl. Sci., 32:419-426 (1985).

Picture 3. Starting point between two electrodes.

Excerpt from the Proceedings of the COMSOL Users Conference 2006 Frankfurt


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