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A time and charge measurement board for muon tomography of high-Z materials

NUCLEAR ELECTRONICS AND INSTRUMENTATION

A time and charge measurement board for muon tomography of high-Z materials

Shi-Tao Xiang
Hao Liang
Nuclear Science and TechniquesVol.28, No.3Article number 40Published in print 01 Mar 2017Available online 17 Feb 2017
53101

In this paper, a versatile time and charge measurement (MQT) board for muon tomography is described in detail. For time measurement, the general-purpose time-to-digital converter (TDC) chip TDC-GP2 is employed; while for charge measurement, digitization plus numerical integration in field programmable gate array (FPGA) is employed. Electronic tests demonstrate that the total 32 channels of 2 MQT boards have a time resolution of superior than 100 ps, with excellent linearity for time and charge measurement.

Time and charge measurementGeneral-purpose time-to-digital converter (TDC-GP2)muon tomography

1 Introduction

When muon passes through a material, multiple small angle Coulomb scattering happens and the accumulated scattering angle can be obtained when muon penetrates the material [1, 2]. By measuring the scattering angle, one is able to detect and image an object containing high-Z materials. Given that the scattering angle is of the order of ~10 milliradians, a position sensitive detector is required [3]. So a muon tomography prototype based on drift chamber detector is proposed [4, 5], and readout electronics for time measurement need to be developed.

The time and charge measurement are implemented with a 16-channel time and charge measurement (MQT) board based on Versa Module Eurocard (VME) crate. The overall time resolution should be 1ns to meet the requirement of 50 μm position resolution. Therefore, the time resolution of MQT board should be less than 100 ps, which will have a negligible contribution to the overall time resolution.

2 Time and charge measurement board

As described above, the MQT board is responsible for time and charge measurement [6]. Differential signal containing time and charge information from preamplifier is distributed into two signals for time and charge measurement, respectively. In the charge measurement part, the signal is processed by a shaping circuit and sent to ADC for digitization. Then numerical integration is implemented in FPGA to calculate signal area which is proportion to the signal charge. In the time measurement part, the signal is processed by a discriminating circuit and then sent to TDC-GP2 to measure the time interval. The measurement results are also sent to FPGA for further processing. The time and charge results are packed and then sent to complex programmable logic device (CPLD) which is responsible for communication between FPGA and VME bus. Figure 1 shows schematically the electronics system and the middle part is MQT board and VME crate. Each MQT board contains eight TDC chips, four ADC chips, one FPGA and one CPLD, and is responsible for 16 channels time and charge measurement.

Fig. 1
Schematic diagram of the MQT board
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2.1 Time measurement

Analog signals are converted into digital signals with timing discriminator for time measurement. To reduce design complexity, the leading edge timing discriminator is employed [7-9]. The time measurement part is shown schematically in Fig. 2. An input start signal passes through two discriminators of different thresholds to a coincidence gate, which is linked by a delay line to the discriminator with low threshold. Then, the start and stop signals pass through the TDC-GP2 chip to the FPGA. TDC-GP2 is a general-purpose TDC chip suitable for cost sensitive applications. Its measurement ranges can be from 3.5 ns to 1.8 μs or from 500 ns to 4 ms [10, 11]. We use the 3.5–1800 ns range with the typical resolution of 50 ps [12].

Fig. 2
Block diagram of time measurement
pic
2.2 Charge measurement

Charge measurement of preamplifier output signal is equivalent to amplitude or area measurement of the signal [13]. The charge measurement circuit is shown in Fig. 3. The pole-zero cancellation network acted as a differentiator attenuates low frequencies and the two-stage RC filter acted as an integrator attenuates high frequencies. The adjustable resistor in the pole-zero cancellation circuit should be adjusted to an optimal value to minimize undershoot [14]. The time constant is 0.1 μs to generate a semi-Gaussian signal of 1μs pulse width at 0.1% of the pulse amplitude. The shaped signal is then passed through a full differential amplifier to ADC for digitization. Digital data are sent to FPGA for numerical integration, each time about 40 points are accumulated [15].

Fig. 3
Schematic diagram of charge measurement
pic

3 Results and Discussion

To examine performance of the MQT board, electronic tests were performed. A Tektronix dual channel arbitrary signal generator AFG3252 was employed, with one channel outputting a pulse as the start signal, and another outputting a customized signal as stop signal in similar shape to the preamplifier output signal. The phase between outputs of the two channels could be finely regulated.

3.1 Time measurement test

The resolution and integral nonlinearity (INL) of time measurement were tested. For time resolution test, multiple measurements were conducted for a specific delay, and the standard deviation of the multiple results was the time measurement resolution. From Fig. 4(a) showing the typical counts histogram at a specific delay, the corresponding resolution was 67.7 ps at 502.8 ns delay; while from Fig. 4(b), resolutions of all 32 channels of two MQT boards are less than 100 ps. As a calibration was conducted following the time measurement each time in TDC-GP2, the tested resolution is relatively stable with variation of temperature and supply voltage.

Fig. 4
(a) Typical counts histogram at a specific delay; (b) Time resolutions of all 32 channels of two MQT boards
pic

The time measured at different delays from 0 ns to 500 ns are shown in Fig. 5(a). The INL was calculated at 0.095%, and the linear fitting equation of T=0.9975D+3.6479 was obtained, where D is the delay and T is measured time. As slope and intercept of each fitting line for every channel is different, a linearity correction was implemented with this equation [16]. Fig.5(b) shows that all 32 channels of the two MQT boards have excellent linearity for time measurement.

Fig. 5
Linearity between delay and measured time (a) and the time measurement INLs of all 32 channels of the two MQT boards (b).
pic
3.2 Charge measurement test

As the detector and preamplifier were not completed, an equivalent INL test was conducted. A customized signal in similar shape to the preamplifier output was used as the input, and the signal amplitude was proportional to the charge. The measured pulse areas at different input signal amplitudes from 50 mV to 500 mV are shown in Fig. 6(a) and from a linear fitting of the data, the INL was calculated at 0.08%, indicating excellent linearity of the charge measurement. In fact, the INLs of all 32 channels are less than 0.15%, as shown in Fig. 6(b). As resolution and range of charge measurement were designed to be 15 fc and 1800 fc, respectively, a 12 bit ADC AD9228 was employed, and the effective number of bits (ENOB) of each channel was greater than 9, which meets the requirement. In fact, the charge information is also useful for correction of leading edge timing discrimination.

Fig. 6
Linearity of the charge measurement data (a) and the charge measurement INLs of all 32 channels of the two MQT boards (b).
pic

4 Conclusion

A time and charge measurement board has been developed for the drift chamber based muon tomography. The general-purpose TDC chip TDC-GP2 is employed for time measurement of drift chamber detector. Test results show that all the 32 channels of two MQT boards have a time resolution of less than 100 ps, with excellent linearity for the time and charge measurement. Joint tests with drift chamber and preamplifier will be carried out. And the charge information will be used for correcting leading edge timing discriminator which will minimize the timing walk. After the joint tests, we will consider developing standalone readout electronics suitable for field applications.

References
1. K.N. Borozdin, G.E. Hogan, C. Morris et al.,

Surveillance: Radiographic imaging with cosmic-ray muons

. Nature. 422, 277 (2003). doi: 10.1038/422277a
Baidu ScholarGoogle Scholar
2. K. Gnanvo, L.V. Grasso, M. Hohlmann et al.,

Imaging of high-Z material for nuclear contraband detection with a minimal prototype of a muon tomography station based on GEM detectors

. Nucl. Instrum. Meth. A. 652, 16-20 (2011). doi: 10.1016/j.nima.2011.01.163
Baidu ScholarGoogle Scholar
3. L. Cox, P. Adsley, J. O. Malley et al.,

Detector requirements for a cosmic ray muon scattering tomography system

. Nuclear Science Symposium Conference Record, 2008. NSS'08. IEEE. IEEE, 706-710 (2008).doi: 10.1109/NSSMIC.2008.4775227
Baidu ScholarGoogle Scholar
4. Y.G. Xie, C. Chen, M. Wang et al., Particle detectors and data acquisition. Beijing (China): Science Press, 2003, 91-104. (in Chinese)
5. BESIII Collaboration.

Design and construction of the BESIII detector

. Nucl. Instrum. Meth. A. 614, 345-399 (2010). doi: 10.1016/j.nima.2009.12.050
Baidu ScholarGoogle Scholar
6. L. Zhao, L.F. Kang, J.W. Zhou et al.,

A 16-Channel high-resolution time and charge measurement module for the external target experiment in the CSR of HIRFL

. Nucl. Sci. Tech. 25, 010401 (2014). doi: 10.13538/j.1001-8042/nst.25.010401
Baidu ScholarGoogle Scholar
7. Q. An,

Review of methods and techniques of precise interval measurements for particle physics experiments

. Nucl. Tech. 29, 6 (2006). (in Chinese)
Baidu ScholarGoogle Scholar
8. L. Dong, J.F. Yang, K.Z. Song,

Carry-chain propagation delay impacts on resolution of FPGA-based TDC

. Nucl. Sci. Tech. 25, 030401 (2014). doi: 10.13538/j.1001-8042/nst.25.030401
Baidu ScholarGoogle Scholar
9. X. Qin, C.Q. Feng, D.L. Zhang et al., 

A low dead time vernier delay line TDC implemented in an actel flash-based FPGA

. Nucl. Sci. Tech. 24, 040403 (2013)
Baidu ScholarGoogle Scholar
10. Acam Messelectronic.

TDC-GP2: 2-channel Universal Time-to-Digital Converter. Version2.0

, 2010. www.acam.de
Baidu ScholarGoogle Scholar
11. Z.H. Ma, M. Li,

Research on pulse hand-held laser rangefinder based TDC-GP2

. Computer Engineering and Technology (ICCET), 2010 2nd International Conference on (2010). doi: 10.1109/ICCET.2010.5485982
Baidu ScholarGoogle Scholar
12. F. Dou, H. Liang, L. Zhou et al.,

A precise time measurement evaluation board for a tomography system of high-Z materials

. Nucl. Sci. Tech. 23, 5 (2012). doi: 10.13538/j.1001-8042/nst.23.284-288
Baidu ScholarGoogle Scholar
13. F.S. Goulding,

Pulse-shaping in low-noise nuclear amplifiers: A physical approach to noise analysis

. Nucl. Instrum. Methods. 100, 493-504 (1972). doi: 10.1016/0029-554X(72)90828-2
Baidu ScholarGoogle Scholar
14. P. Grybos, R. Szczygiel,

Pole-zero cancellation circuit with pulse pile-up tracking system for low noise charge-sensitive amplifiers

. IEEE. T. Nucl. Sci. 55, 583-590 (2008). doi: 10.1109/TNS.2007.914018
Baidu ScholarGoogle Scholar
15. C. Chen, W.W. Fan, Y.H. Pan et al.,

A multi-channel real-time digital integrator for magnetic diagnostics in HL-2A tokamak

. Nucl. Sci. Tech. 27, 14 (2016). doi: 10.1007/s41365-016-0006-9
Baidu ScholarGoogle Scholar
16. S.B. Liu, C.Q. Feng, H. Yan et al.,

LUT-based non-linearity compensation for BES III TOF’s time measurement

. Nucl. Sci. Tech. 21, 49-53 (2010). doi: 10.13538/j.1001-8042/nst.21.49-53
Baidu ScholarGoogle Scholar