1
Electron range evaluation and X-ray conversion optimization in tungsten transmission-type targets with the aid of wide electron beam Monte Carlo simulations Andrii Sofiienko 1 , Chad Jarvis 2 , Ådne Voll 3 1 University of Bergen, Allegaten 55, PO Box 7803, 5020 Bergen, Norway. E-mail: [email protected] 2 Christian Michelsen Research AS, Fantoftveien 38, PO Box 6031, NO-5892 Bergen, Norway. E-mail: [email protected] 3 Visuray AS, Strandbakken 10, 4070 Randaberg, Norway. E-mail: [email protected] Introduction X-ray tubes are one of the most common and safest sources of X-rays and are used in many medical [1-3] and industrial applications [4-6]. Among the many types of X-ray tubes that are available, the transmission type features the simplest target design [7, 8] and is widely used in X-ray inspection [9, 10]. Despite the widespread use of transmission-type X-ray tubes, there is no detailed study of the characteristics of the X-ray generation process for wide electron beams (when the beam diameter is not much smaller than the diameter of the flat target). Additionally, there is no detailed information about the effect of the geometrical parameters of the electron beam on the angular distribution of the generated X-rays at accelerating voltages within the range of 250-500 kV, which are interesting for industrial applications. The general purpose of the presented work was to investigate, using Monte Carlo simulations, the X-ray generation process in a transmission-type X-ray tube with a wide electron beam. We determined the following parameters for use in practical applications: approximate electron range in a tungsten target over an energy range of 250-500 keV, the optimal target thickness, the angular distribution of generated X-rays and the efficiency coefficient for the transfer of energy from an electron beam to generated X-rays. Monte Carlo simulations MC simulations were performed using the Xenos software suite by Field Precision [12]. The particular program is called GamBet. GamBet combines Field Precision's technology for finite- element codes with the package PENELOPE [13]. The solution volume for the mesh created in all cases had the following range: X-axis [-1.0 mm, 1.0 mm], Y-axis [-1.0 mm, 1.0 mm], Z-axis [0.0 mm, 0.5 mm]. The tungsten target was centred at (0.0 mm, 0.0 mm, 0.4 mm). Outside of the tungsten target, the voxel size was (25 μm, 25 μm, 10 μm); inside the tungsten target, the voxel size was (2.0 μm, 2.0 μm, 0.1 μm). The electron source file contained 4.610 5 electrons with momentum along the positive Z-axis. MC simulations were generated for target thicknesses equal to 1.0, 2.5, 5.0, 10, 20, 30, 35, 60 and 70 μm and electron source energies equal to 250, 300 and 500 keV. The electrons were Gaussian-distributed in a regular pattern with diameter D e = 0.25 mm perpendicular to the Z-axis: The efficiency of X-ray generation for different target thickness Conclusions Using Monte Carlo simulations of the X-ray generation process in a transmission-type X-ray tube with a wide (unfocused) electron beam, several important parameters were determined: the approximate electron range in tungsten over the energy range of 250-500 keV, the optimal target thickness for different electron energies, the angular distribution of the flux of generated X-rays and the efficiency coefficient for the transfer of energy from an electron beam to a generated X-ray flux. Simple analytical relations were obtained for the electron range in tungsten and for the optimal target thickness. It was demonstrated that the angular distribution of a flux of generated X-rays in the forward direction has the same maximum output angle for different acceleration potentials of an X- ray tube and that the angular distribution is more isotropic at higher energies. The efficiency coefficient for the transfer of electron energy to a flux of generated X-rays depends on the tungsten target thickness and compares well with the commonly used empirical relation proposed in [11]. These results can be used in practical applications to design transmission-type X-ray tubes with wide electron beams to calculate the flux (including the angular dependence) of the generated X-rays. This work was partially funded by the Research Council of Norway under contract 200888. References [1] D. N. Zeiger, J. Sun, G. E. Schumacher, S. L. Gibson, ‘Evaluation of dental composite shrinkage and leakage in extracted teeth using X-ray microcomputed tomography’, Dental Materials, 25, 1213-1220, 2009. [2] L. Goldstein, S. O. Prasher, S. Ghoshal, ‘Three-dimensional visualization and quantification of non-aqueous phase liquid volumes in natural porous media using a medical X-ray Computed Tomography scanner’, J. of Contaminant Hydrology, 93, 96-110, 2007. [3] M. Lindner, L. Blanquart, P. Fischer, et.al., ‘Medical X-ray imaging with energy windowing’, NIM: Section A, 465, 229-234, 2001. [4] K. Wells, D. A. Bradley, ‘A review of X-ray explosives detection techniques for checked baggage’, Applied Radiation and Isotopes, 70, 1729-1746, 2012. [5] L. Auditore, R. C. Barna, U. Emanuele, D. Loria, A. Trifiro, M. Trimarchi, ‘X-ray tomography system for industrial applications’, NIM: Section B, 266, 2138-2141, 2008. [6] R. D. Luggar, E. J. Morton, P. M. Jenneson, M. J. Key, ‘X-ray tomographic imaging in industrial process control’, Rad. Phys. and Chem., 61, 785-787, 2001. [7] H. H. Sung, I. Aamir, O. C. Sung, ‘Transmission-type microfocus x-ray tube using carbon nanotube field emitters’, Applied Physics Letters, 90, 183109, 2007. [8] L. M. N. Tavora, E. J. Morton, W. B. Gilboy, ‘Design considerations for transmission X-ray tubes operated at diagnostic energies’, J. Phys. D: Appl. Phys., 33, 2497, 2000. [9] B. Achmad, E. M.A. Hussein, ‘An X-ray Compton scatter method for density measurement at a point within an object’, Appl. Radiation and Isotopes, 60, 805-814, 2004. [10] Y. Gil, Y. Oh, M. Cho, W. Namkung, ‘Radiography simulation on single-shot dual-spectrum X-ray for cargo inspection system’, Appl. Radiation and Isotopes, 69, 389-393, 2011. [11] S. A. Ivanov, G. A. Shchukin, ‘Rentgenovskie trubki tekhnicheskogo naznacheniya (X-ray Tubes for Technical Purposes), Leningrad: Energoatomizdat, 1989 [in Russian]. [12] S. Humphries, ‘Computational Techniques in Xenos - Integrated 3D Software Suite for Electron and X-ray Physics’, IEEE 34th International Conference ICOPS 2007. [13] F. Salvat, J. M. Fernández-Varea, J. Sempau, ‘PENELOPE-2011: A code system for Monte Carlo simulation of electron and photon transport’, OECD Nuclear Energy Agency, 2011. 2 2 2 2 1 , , exp 2 2 4 4 e e e e x y f xyD D D Figure 1: A schematic of the MC simulation of the transmission type target (on the left) and the angular distribution of the flux of generated X-rays for the accelerating potentials of 250 kV and 500 kV (on the right) The energy distributions of transmitted electrons with energies of 250, 300 and 500 keV were generated by a MC method for different thicknesses of a tungsten target ranging from 1.0 μm to 70 μm. These distributions were calculated to investigate the effect of the tungsten target thickness on the energy of transmission electrons and their intensity behind the target. Integrating the energy distribution of the transmitted electrons gives the relationship between the number of transmitted electrons and the target thickness. A simple analytical expression for the estimated electron range in the tungsten target was derived for the energy range of 250-500 keV: R e (E) = A·E B , where A = (11 ± 1)10 -3 (μm/keV) and B = 1.38 ± 0.07. An analysis of the dependence of the flux of generated X-rays on the tungsten target thickness and electron energies produced a function that appoximates the optimal tungsten thickness as a function of the electron energy as follows: d Optimal (E) = C· E P , where C = (4.8 ± 0.3)10 -3 (μm/keV) and P = 1.48 ± 0.06. An analysis of the angular distribution of generated X-rays shows that the angles with the maximum flux of generated X-rays fall within the same range (40 0 -60 0 in this case) for different electron energies. This result may be caused by the beam size and by the electron density distribution in the beam. However, the probability of X-ray generation in the forward direction varies with initial electron energy. The obtained efficiency coefficients for the transfer of energy from an electron beam to a flux of generated X-rays depends on the thickness of tungsten target and compares well with following commonly used empirical relation: η X = (8 ± 2)·10 -10 ·Z·eE, where Z is the atomic number of the target media and eE is the enrgy of the incident electrons. 0 10 20 30 40 50 60 70 0,0 2,5x10 15 5,0x10 15 7,5x10 15 1,0x10 16 1,3x10 16 1,5x10 16 X-ray flux, s -1 cm -2 d W , m 1 2 3 21 m 17 m 47 m Figure 2: The flux of generated X-rays behind a tungsten target versus the thickness of the target for different electron energies: 250 keV (1), 300 keV (2) and 500 keV (3) 10 100 0 1x10 14 2x10 14 3x10 14 7x10 14 8x10 14 9x10 14 1x10 15 E, keV X /E, keV -1 s -1 cm -2 1 2 200 500 Figure 3: The energy distribution of the flux of generated X-rays (from MC simulations, Figure 1) for a transmission-type X-ray tube at different acceleration potentials and target thicknesses: 250 kV and 20 μm (1) and 500 kV and 60 μm (2) 0 10 20 30 40 50 60 70 0,000 0,005 0,010 0,015 0,020 0,025 0,030 0,035 E e = 250 keV E e = 300 keV E e = 500 keV ~ d 1.2 W X , arb.un. d W , m ~ d W 1 2 3 Figure 4: The efficiency coefficients for the transfer of energy from an electron beam to a flux of generated X-rays versus tungsten target thicknesses for different electron energies: 250 keV (1), 300 keV (2) and 500 keV (3)

Andrii Sofiienko - Electron range evaluation and X-ray conversion optimization in tungsten transmission-type targets with the aid of wide electron beam Monte Carlo simulations

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Electron range evaluation and X-ray conversion optimization in tungsten

transmission-type targets with the aid of wide electron beam

Monte Carlo simulations

Andrii Sofiienko1, Chad Jarvis

2, Ådne Voll

3

1University of Bergen, Allegaten 55, PO Box 7803, 5020 Bergen, Norway. E-mail: [email protected]

2Christian Michelsen Research AS, Fantoftveien 38, PO Box 6031, NO-5892 Bergen, Norway. E-mail: [email protected]

3Visuray AS, Strandbakken 10, 4070 Randaberg, Norway. E-mail: [email protected]

Introduction

X-ray tubes are one of the most common and safest sources of X-rays and are used in many medical

[1-3] and industrial applications [4-6]. Among the many types of X-ray tubes that are available, the

transmission type features the simplest target design [7, 8] and is widely used in X-ray inspection [9,

10]. Despite the widespread use of transmission-type X-ray tubes, there is no detailed study of the

characteristics of the X-ray generation process for wide electron beams (when the beam diameter is

not much smaller than the diameter of the flat target). Additionally, there is no detailed information

about the effect of the geometrical parameters of the electron beam on the angular distribution of the

generated X-rays at accelerating voltages within the range of 250-500 kV, which are interesting for

industrial applications. The general purpose of the presented work was to investigate, using Monte

Carlo simulations, the X-ray generation process in a transmission-type X-ray tube with a wide

electron beam. We determined the following parameters for use in practical applications: approximate

electron range in a tungsten target over an energy range of 250-500 keV, the optimal target thickness,

the angular distribution of generated X-rays and the efficiency coefficient for the transfer of energy

from an electron beam to generated X-rays.

Monte Carlo simulations

MC simulations were performed using the Xenos software suite by Field Precision [12]. The

particular program is called GamBet. GamBet combines Field Precision's technology for finite-

element codes with the package PENELOPE [13]. The solution volume for the mesh created in all

cases had the following range: X-axis [-1.0 mm, 1.0 mm], Y-axis [-1.0 mm, 1.0 mm], Z-axis [0.0

mm, 0.5 mm]. The tungsten target was centred at (0.0 mm, 0.0 mm, 0.4 mm). Outside of the

tungsten target, the voxel size was (25 μm, 25 μm, 10 μm); inside the tungsten target, the voxel size

was (2.0 μm, 2.0 μm, 0.1 μm). The electron source file contained 4.6∙105 electrons with momentum

along the positive Z-axis. MC simulations were generated for target thicknesses equal to 1.0, 2.5,

5.0, 10, 20, 30, 35, 60 and 70 μm and electron source energies equal to 250, 300 and 500 keV. The

electrons were Gaussian-distributed in a regular pattern with diameter De = 0.25 mm perpendicular

to the Z-axis:

The efficiency of X-ray generation for different target thickness

Conclusions

Using Monte Carlo simulations of the X-ray generation process in a transmission-type X-ray tube

with a wide (unfocused) electron beam, several important parameters were determined: the

approximate electron range in tungsten over the energy range of 250-500 keV, the optimal target

thickness for different electron energies, the angular distribution of the flux of generated X-rays and

the efficiency coefficient for the transfer of energy from an electron beam to a generated X-ray flux.

Simple analytical relations were obtained for the electron range in tungsten and for the optimal target

thickness. It was demonstrated that the angular distribution of a flux of generated X-rays in the

forward direction has the same maximum output angle for different acceleration potentials of an X-

ray tube and that the angular distribution is more isotropic at higher energies. The efficiency

coefficient for the transfer of electron energy to a flux of generated X-rays depends on the tungsten

target thickness and compares well with the commonly used empirical relation proposed in [11].

These results can be used in practical applications to design transmission-type X-ray tubes with wide

electron beams to calculate the flux (including the angular dependence) of the generated X-rays.

This work was partially funded by the Research Council of Norway under contract 200888.

References[1] D. N. Zeiger, J. Sun, G. E. Schumacher, S. L. Gibson, ‘Evaluation of dental composite shrinkage and leakage in extracted teeth using X-ray

microcomputed tomography’, Dental Materials, 25, 1213-1220, 2009.

[2] L. Goldstein, S. O. Prasher, S. Ghoshal, ‘Three-dimensional visualization and quantification of non-aqueous phase liquid volumes in natural

porous media using a medical X-ray Computed Tomography scanner’, J. of Contaminant Hydrology, 93, 96-110, 2007.

[3] M. Lindner, L. Blanquart, P. Fischer, et.al., ‘Medical X-ray imaging with energy windowing’, NIM: Section A, 465, 229-234, 2001.

[4] K. Wells, D. A. Bradley, ‘A review of X-ray explosives detection techniques for checked baggage’, Applied Radiation and Isotopes, 70,

1729-1746, 2012.

[5] L. Auditore, R. C. Barna, U. Emanuele, D. Loria, A. Trifiro, M. Trimarchi, ‘X-ray tomography system for industrial applications’, NIM: Section

B, 266, 2138-2141, 2008.

[6] R. D. Luggar, E. J. Morton, P. M. Jenneson, M. J. Key, ‘X-ray tomographic imaging in industrial process control’, Rad. Phys. and Chem., 61,

785-787, 2001.

[7] H. H. Sung, I. Aamir, O. C. Sung, ‘Transmission-type microfocus x-ray tube using carbon nanotube field emitters’, Applied Physics Letters, 90,

183109, 2007.

[8] L. M. N. Tavora, E. J. Morton, W. B. Gilboy, ‘Design considerations for transmission X-ray tubes operated at diagnostic energies’, J. Phys. D:

Appl. Phys., 33, 2497, 2000.

[9] B. Achmad, E. M.A. Hussein, ‘An X-ray Compton scatter method for density measurement at a point within an object’, Appl. Radiation and

Isotopes, 60, 805-814, 2004.

[10] Y. Gil, Y. Oh, M. Cho, W. Namkung, ‘Radiography simulation on single-shot dual-spectrum X-ray for cargo inspection system’, Appl.

Radiation and Isotopes, 69, 389-393, 2011.

[11] S. A. Ivanov, G. A. Shchukin, ‘Rentgenovskie trubki tekhnicheskogo naznacheniya (X-ray Tubes for Technical Purposes), Leningrad:

Energoatomizdat, 1989 [in Russian].

[12] S. Humphries, ‘Computational Techniques in Xenos - Integrated 3D Software Suite for Electron and X-ray Physics’, IEEE 34th International

Conference ICOPS 2007.

[13] F. Salvat, J. M. Fernández-Varea, J. Sempau, ‘PENELOPE-2011: A code system for Monte Carlo simulation of electron and photon transport’,

OECD Nuclear Energy Agency, 2011.

2 2

2 2

1, , exp

2 24 4

e e

e e

x yf x y D

D D

Figure 1: A schematic of the MC simulation of the transmission type target (on the left) and the angular distribution of the flux of

generated X-rays for the accelerating potentials of 250 kV and 500 kV (on the right)

The energy distributions of transmitted electrons with energies of 250, 300 and 500 keV were generated

by a MC method for different thicknesses of a tungsten target ranging from 1.0 μm to 70 μm. These

distributions were calculated to investigate the effect of the tungsten target thickness on the energy of

transmission electrons and their intensity behind the target. Integrating the energy distribution of the

transmitted electrons gives the relationship between the number of transmitted electrons and the target

thickness. A simple analytical expression for the estimated electron range in the tungsten target was

derived for the energy range of 250-500 keV: Re(E) = A·EB, where A = (11 ± 1)∙10-3 (μm/keV) and B =

1.38 ± 0.07. An analysis of the dependence of the flux of generated X-rays on the tungsten target

thickness and electron energies produced a function that appoximates the optimal tungsten thickness as

a function of the electron energy as follows: dOptimal(E) = C· EP, where C = (4.8 ± 0.3)∙10-3 (μm/keV)

and P = 1.48 ± 0.06. An analysis of the angular distribution of generated X-rays shows that the angles

with the maximum flux of generated X-rays fall within the same range (400-600 in this case) for

different electron energies. This result may be caused by the beam size and by the electron density

distribution in the beam. However, the probability of X-ray generation in the forward direction varies

with initial electron energy. The obtained efficiency coefficients for the transfer of energy from an

electron beam to a flux of generated X-rays depends on the thickness of tungsten target and compares

well with following commonly used empirical relation: ηX = (8 ± 2)·10-10·Z·eE, where Z is the atomic

number of the target media and eE is the enrgy of the incident electrons.

0 10 20 30 40 50 60 70

0,0

2,5x1015

5,0x1015

7,5x1015

1,0x1016

1,3x1016

1,5x1016

X-r

ay f

lux,

s-1cm

-2

dW

, m

1

2

321 m

17 m

47 m

Figure 2: The flux of generated X-rays behind a tungsten target versus the thickness of the

target for different electron energies: 250 keV (1), 300 keV (2) and 500 keV (3)

10 100

0

1x1014

2x1014

3x1014

7x1014

8x1014

9x1014

1x1015

E, keV

X/

E,

ke

V-1

s-1

cm

-2

1

2

200 500

Figure 3: The energy distribution of the flux of generated X-rays (from MC simulations,

Figure 1) for a transmission-type X-ray tube at different acceleration potentials and target

thicknesses: 250 kV and 20 μm (1) and 500 kV and 60 μm (2)

0 10 20 30 40 50 60 70

0,000

0,005

0,010

0,015

0,020

0,025

0,030

0,035 E

e = 250 keV

Ee = 300 keV

Ee = 500 keV

~ d1.2

W

X,

arb

.un

.

dW

, m

~ dW

1

2

3

Figure 4: The efficiency coefficients for the transfer of energy from an electron beam to a flux of

generated X-rays versus tungsten target thicknesses for different electron energies: 250 keV (1), 300

keV (2) and 500 keV (3)