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Development of a scintillation detector for real-time measurement of space proton effective dose

NUCLEAR ELECTRONICS AND INSTRUMENTATION

Development of a scintillation detector for real-time measurement of space proton effective dose

Shou-Jie Zhang
Xin-Biao Jiang
Da Li
Xiao-Ren Yu
Liang-Liang Miao
Xiao-Jing Song
Yan Ma
Nuclear Science and TechniquesVol.30, No.5Article number 76Published in print 01 May 2019Available online 10 Apr 2019
43100

In this study, a scintillation detector was developed to measure the space proton effective dose for astronauts based on the proton effective dose conversion coefficients provided by ICRP (International Commission on Radiological Protection) Report No. 116. In the MCNPX (Monte Carlo N-Particle Transport Code X, Version 2.6.0) simulation process, by modulating the depth and solid angle of truncated conical holes in an iron shell from lower-energy protons to higher-energy protons, the energy deposited in the scintillator by isotropic protons was nearly proportional to the corresponding effective dose, with a maximum relative deviation of 13.28% at thirteen energy points in the energy range of 10–400 MeV. Therefore, the detector can monitor proton effective dose indirectly in real time by measuring the deposited energy. We calibrated the photoelectric conversion efficiency of the detector at the cobalt source, tested the response of the detector in the energy range of 30–100 MeV in unidirectional proton field, and validated the simulation with the experimental results.

Effective doseSpace protonScintillation detectorICRP report No.116Deposited energy

1 Introduction

Radiation exposure is one of the most significant health concerns to astronauts [1,2]. During their occupational activities in space, astronauts suffer ionizing radiation, which is likely to induce stochastic effects such as cancers and hereditary effects [3-5]. Effective dose can assess the risk of stochastic effects caused by ionizing radiation, so it is often adopted as a dose limit for astronauts [6]. Presently, the dosimeters used in space dosimetry are primarily classified into two categories: passive dosimeters such as TLD (thermoluminescence dosimeters), PNTD (plastic nuclear track detectors), and nuclear-emulsion detectors; and active dosimeters such as TEPC (tissue equivalent proportional counters), silicon semiconductor detectors, and DOSTEL (dosimetry telescopes). These two categories of dosimeters are both focused on dose quantity of absorbed dose and dose equivalent rather than effective dose [7-11]. In some low Earth orbit missions, the experimental procedure of effective dose measurement was performed by life size human phantoms, which usually contained combined dosimeter packages consisting of dozens of passive dosimeters to measure organ dose equivalents [12-14]. The entire detection system of this method is too heavy and bulky for space applications. Furthermore, passive dosimeters cannot reflect the accurate change in dose rate over time, therefore this method cannot achieve real-time measurement of effective dose in space.

Protons are the main component of space charged particles as well as a significant contributor to radiation hazards for astronauts [15]. Space proton radiation models have various limitations and are not accurate enough for space proton effective dose assessment, which has appreciable significance for the radiation safety of astronauts. For example, the deviation of proton fluence at low-altitude orbit is as much as 10 times that of the AP9 model (Aerospace Proton Environmental Model 9) compiled by NASA (National Aeronautics and Space Administration). The model is based on average and static methods that do not reflect structure details and variation of the radiation environment. Moreover, the monitoring area of the model cannot cover the entire near earth space [16,17]. In light of the above-mentioned facts, it is desirable to develop a detector for proton effective dose measurement.

The 2010 ICRP (International Commission on Radiological Protection) Report No. 116 (ICRP-116) provided the conversion coefficients between proton fluence and proton effective dose for standard irradiation geometries [18]. These coefficients were calculated using the official ICRP and ICRU (International Commission on Radiation Units and Measurements) computational phantoms representing the Reference Adult Male and Reference Adult Female [19,20], in conjunction with Monte Carlo codes simulating the transport of radiation within the human body. Simulations were performed by members of several task groups using different Monte Carlo codes. In this study, we aimed to design a detector with rather small volume and mass for real-time measurement of space proton effective dose based on the ICRP-116. The design principle and process of the detector are described in detail, as well as the detector calibration and verification experiment.

2 Modeling and analysis

2.1 Detector probe design principle

Effective dose, E, is defined as follows:

E=TwTHT=TwTRwRDT,R=TwTRwR(1mTmTDRdm), (1)

where wT and wR are the tissue weighting factor and radiation weighting factor, respectively, HT is the equivalent dose in an organ or tissue T, DT,R is the mean absorbed dose in an organ or tissue T from radiation of type R, mT is the mass of the organ or tissue T, DR is the absorbed dose in a mass element dm. It is difficult to measure DT,R directly, and for this reason the effective dose is hard to monitor.

The conversion coefficients between proton fluence and proton effective dose for standard irradiation geometries provided by the ICRP-116 are presented in Fig.1 [18].

Fig.1
Effective dose per proton fluence for standard geometries
pic

For a certain amount of incident protons whose energy is X, the corresponding effective dose E(X) can be obtained according to the ICRP-116, the energy deposited in the detector by these protons is Q(X), if the coefficient K(X) between E(X) and Q(X) does not change with energy X, in other words, Q(X) is proportional to E(X), that is,

K(X) =E(X)/Q(X) =K=Const. (2)

Then in practice, multiplying the measured deposited energy Q by the coefficient K, we can get the actual effective dose E for astronauts:

E= K×Q . (3)

Presently, the orbit height of manned spaceflight is mainly in the range of 300–500 km, which is referred to as Low-Earth orbit, or LEO. The energy of protons of LEO are mostly below 400 MeV [21,22]. Based on the thirteen conversion coefficients between proton fluence and proton effective dose provided by the ICRP-116 in the energy range of 10 MeV to 400 MeV, our aim is to make the energy deposited in the detector proportional to the corresponding effective dose of the incident protons.

2.2 Detector probe design process
2.2.1 Basic structure and materials

Since 1955, five solar particle events (SPEs) with intensities and energies large enough to jeopardize crew health in spite of normal or even enhanced spacecraft shielding have been observed. The order of magnitude of the integral of the fluence of protons above 10 MeV in these SPEs is 1010 cm–2 [23]. This is only an order of magnitude smaller than the proton dose threshold (2.0 × 1011 cm–2) inducing radiation damage in semiconductor detectors. This amount of radiation damage can cause an increase in leakage current, degradation of energy resolution, and a shift of the peak position because of lost charge collection efficiency [24]. Consequently, the performance of semiconductor detectors will gradually degrade and eventually lose function after lengthy exposure in space. The proton-stopping power of gas is rather small owing to its low density [25], so the volume and pressure of a gas detector would be rather large for the detection of high-energy protons, and this leads to the poor security and practicability of a gas detector in the space environment. The absorbed dose in space measured by the phantom torso experiment in the 9.8-day STS-91 mission (inclination: 51.6°, altitude: 400 km) was 27.7 mGy, or 2.8 mGy/d [12]. Experimental results showed that, at a proton absorbed dose of 1 KGy, the radiation damage reduced the light yield of a plastic scintillator by only 15% [26], which reflected the plastic scintillator’s characteristics of stable luminescence efficiency and good radiation hardness. Plastic scintillator material also has the characteristics of good plasticity and high mechanical strength, which enable it to be processed into various shapes [27].

Isotropic exposure is the most realistic situation in space. While shielding effects may result in lower isotropic exposure, the movement of the astronauts within the spacecraft counteracts this [15], so the proton incidence condition was set as isotropic in the simulation. Based on this, a spherically symmetric detector was desired, so the scintillator was set as a sphere whose radius was 2.25 cm. A cylindrical light guide was used with the scintillator to aid the light collection for the detector. The radius and length of the light guide were 1.0 cm and 10.3 cm, respectively, and the distance from the center of the scintillator to the lower end surface of the light guide was 2.0 cm. Covering the spherical scintillator was a layer of shielding shell, inside which were some truncated conical holes. The energy deposited in the scintillator was modulated by changing the depth and solid angle of these holes. The greater the number of holes, and the more spherical the distribution of the holes in the shielding shell, the better was the spherical symmetry of the detector. Considering the similarity between the geometry of a regular polyhedron and a sphere, the holes in the shielding shell were effectively located at the vertices of a regular polyhedron. In the existing five types of regular polyhedrons, the regular dodecahedron has the greatest number of vertices (20). The two adjacent holes near the light guide were integrated into one to minimize their conflict with the light guide in space, leaving 19 holes in the iron shell. Except for the integrated hole around the light guide (hole 1), the other 18 holes were located at 18 vertices of a regular dodecahedron. The structure of the detector probe and sequence numbers of some of the holes are shown in Fig.2(a). The relative distribution of the 19 holes and their corresponding sequence numbers in the regular dodecahedron are shown in Fig.2(b), where three different colors indicate three different-depth holes.

Fig.2
(Color online) (a) Cross-sectional view of the detector probe. (b) Relative distribution of the 19 holes in the dodecahedron.
pic

Figure 3 shows the range-energy relation and the mass thickness-energy relation of protons in different materials; the data is from NIST’s PSTAR databank (CSDA) [28]. From Fig.3 we can see that for protons with a certain energy, the range in Fe is almost the same as that in Cu and Pb, and far less than that in Be and Al. However, the mass thickness in Fe is less than that in Cu and Pb. To reduce the mass and volume of the detector, iron was adopted as the material of the shielding shell.

Fig.3
Penetration depth of proton in different materials. (a) range; (b) mass thickness
pic
2.2.2 Determination of the iron shell thickness

Before digging holes in the iron shell, we needed to determine the iron shell thickness. Figure 4 presents the MCNPX simulation results of the dependence of Q400MeV on the shell thickness, as the thickness varies from 0 cm to 3 cm, where Q400MeV is the energy deposited in the scintillator by per fluence of isotropic incident protons of 400 MeV.

Fig.4
Dependence of the deposited energy in the scintillator on the iron shell thickness
pic

As shown in Fig.4, the value of Q400MeV at d=0 cm is 86% of that at d=3 cm. Q400MeV remains nearly constant because protons of 400 MeV have strong penetrating power and the energy loss rate in the plastic scintillator is almost the same after it passes through the iron shell of different thicknesses. Consequently, the coefficient K between effective dose and deposited energy is determined:

K=K400MeV=E400MeV/Q400MeV. (4)

By modulating the depth and solid angle of the 19 shell holes, we attempted to make the deposited energy Q at the other 12 twelve energy points, apart from 400 MeV, satisfy the proportional relation with the corresponding effective dose E. Relative deviation ε between Q and E is defined in formula (5) to assess the proportional relation. The smaller the value of |ε|, the better is the proportional relation.

ε=KQE1 (5)

For protons of 150 MeV, 200 MeV, and 300 MeV, Fig.5 presents the MCNPX simulation results of the dependence of ε on the uniform iron shell thickness. It is shown that when d<2.5 cm, ε150MeV>0; thus, d must be larger than 2.5 cm. If we want to reduce ε150MeV to zero, we can select a value of d in the range of 2.5 cm to 2.9 cm. Here we chose 2.9 cm to make |ε150MeV| as small as possible. The method we adopted was to adjust the depth and solid angle of the holes to be dug in the future design, using the positive ε150MeV of the perforated zone (where the covering thickness is less than 2.5 cm) to compensate for the negative ε150MeV (–88%) of the non-perforated zone (where the covering thickness is 2.9 cm). The tendency of the change of ε200MeV with iron shell thickness opposes that of ε150MeV, ε200MeV<0 when d<0.9 cm, and ε200MeV>0 when d>0.9 cm. ε300MeV is very small when d varies from 0 cm to 2.9 cm.

Fig.5
Dependence of the relative deviation between deposited energy and proton effective dose on the iron shell thickness
pic
2.2.3 Determination of depth and solid angles of the holes

First we dug the holes whose sequence numbers are from 1 to 8, with depths and covering thicknesses of 2.9 cm and 0 cm, respectively. For protons from 10 MeV to 80 MeV, Fig.6 shows the MCNPX simulation results of the dependence of ε on Ω1, where Ω1 denotes the total solid angle of these eight holes. From Fig.6 we can see that when Ω1 <3.355 Sr, max(|ε15MeV|,|ε30MeV|)=ε30MeV>13%, and when Ω1 >3.355 Sr, max(|ε15MeV|,|ε30MeV|)=ε15MeV>13%. max(|ε15MeV|,|ε30MeV|) is minimized to 13% when Ω1 is 3.355 Sr, and |ε| for protons of 10 MeV, 20 MeV, 40 MeV, 50 MeV, 60 MeV and 80 MeV is within 13% when Ω1 is 3.355 Sr.

Fig.6
Dependence of the relative deviation between deposited energy and proton effective dose on total solid angle of holes 1–8
pic

Next we dug the holes whose sequence numbers are from 9 to 13, with depths and covering thicknesses of 1.9 cm and 1.0 cm, respectively. Modulation of the solid angle of these five holes would not affect the deposited energy of the protons below 80 MeV because these protons cannot penetrate holes 9–13 because their range in iron is less than 1.0 cm. Figure 7 shows the MCNPX simulation results of the dependence of ε100MeV on Ω2, where Ω2 denotes the total solid angle of these five holes. We can see that |ε100MeV| is minimized to 0.54% when Ω2 is 1.508 Sr. The MCNPX computational accuracy of the deposited energy of protons of 100 MeV is less than 1%, which is comparable to the minimum value of |ε100MeV|.

Fig.7
Dependence of the relative deviation between deposited energy and proton effective dose on total solid angle of holes 9–13
pic

Next, we dug the holes whose sequence numbers are from 14 to 19, with depths and covering thicknesses of 1.4 cm and 1.5 cm, respectively. Modulation of the solid angle of these six holes would not affect the deposited energy of the protons below 100 MeV because these protons cannot penetrate holes 14–19 because their range in iron is less than 1.5 cm. For protons of 150 MeV, 200 MeV and 300 MeV, Fig.8 shows the MCNPX simulation results of the dependence of ε on Ω3, where Ω3 denotes the total solid angle of these six holes. Figure 8 shows that max(|ε150MeV|, |ε200MeV|) is minimized to 13% when Ω3 is 2.136 Sr, and |ε300MeV| is close to zero.

Fig.8
Dependence of the relative deviation between deposited energy and proton effective dose on total solid angle of holes 14–19
pic
2.3 Calculation results and analysis

Geometrical parameters of the 19 holes are shown in Table 1, where θ1/θ2/θ3 are the angles between the hole axis and the x/y/z axes, respectively. A prototype of the detector probe was constructed by 3D printing technology according to the design scheme described in section 2.2. A stereogram of the detector probe and cross-sectional view of the iron shell are shown in Fig.9(a) and Fig.9(b) respectively. Sequence numbers of some of the holes are marked in the figure.

Table 1
Geometrical parameters of the 19 holes (hole 1 was the integrated hole)
Sequence number of the hole θ1/θ2/θ3 (°) Depth (cm) Covering thickness (cm) Solid angle (Sr) Total solid angleΣΩ (Sr)
1 90.0/90.0/0.0 2.9 0.0 0.6656 3.355
2 90.0/110.9/159.1 2.9 0.0 0.3842
3 69.1/20.9/90.0 2.9 0.0 0.3842
4 110.9/159.1/90.0 2.9 0.0 0.3842
5 20.9/90.0/110.9 2.9 0.0 0.3842
6 159.1/90.0/69.1 2.9 0.0 0.3842
7 54.7/125.3/54.7 2.9 0.0 0.3842
8 125.3/54.7/125.3 2.9 0.0 0.3842
9 90.0/69.1/159.1 1.9 1.0 0.3016 1.508
10 20.9/90.0/69.1 1.9 1.0 0.3016
11 159.1/90.0/110.9 1.9 1.0 0.3016
12 125.3/54.7/54.7 1.9 1.0 0.3016
13 54.7/125.3/125.3 1.9 1.0 0.3016
14 110.9/20.9/90.0 1.4 1.5 0.3560 2.136
15 69.1/159.1/90.0 1.4 1.5 0.3560
16 54.7/54.7/54.7 1.4 1.5 0.3560
17 125.3/125.3/125.3 1.4 1.5 0.3560
18 125.3/125.3/54.7 1.4 1.5 0.3560
19 54.7/54.7/125.3 1.4 1.5 0.3560
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Fig.9
(a) picture of the detector probe; (b) cross-sectional view of the iron shell
pic

K400MeV was used as the coefficient K in the simulation process, to reduce the maximum absolute value of ε, regarded as a function of the coefficient K at the selected 13 energy points,

max{|ε|i=1:13}=f(K)=max{|KQiEi-1|i=1:13}, (6)

where the subscript i from 1 to 13 represents the selected energy point. The minimum of f(K) and the corresponding value K0 of K when f(K) reaches the minimum can be calculated, and the calculation results are shown in Table 2, from which we can see that max{|ε|i=1:13} is reduced from 13.93% to 13.28% after K400MeV is replaced by K0. Fig.10(a) shows the proton effective dose per fluence from the literature and calculation, and the deviation between them is presented in Fig.10(b).

Table 2
Calculation results of the MCNPX simulation
Proton energy (MeV) Effective dose E per fluence of isotropic protons (pSv·cm2) Deposited energy Q by per fluence of isotropic protons (MeV·cm2) MCNPX computational accuracy of Q (%) K400MeV×QE-1 (%) K0×QE-1 (%)
10 45.8 7.11533E+00 0.39 5.20 4.59
15 80.1 1.31069E+01 0.40 10.80 10.17
20 136 1.90570E+01 0.44 -5.11 -5.66
30 249 3.20749E+01 0.44 -12.77 -13.28
40 358 4.77748E+01 0.41 -9.63 -10.16
50 451 6.77786E+01 0.43 1.77 1.18
60 551 9.27070E+01 0.42 13.93 13.28
80 837 1.23035E+02 0.38 -0.46 -1.04
100 1130 1.75599E+02 0.31 5.23 4.62
150 1790 2.93486E+02 0.26 11.03 10.39
200 1840 3.05358E+02 0.24 12.38 11.73
300 1420 2.10285E+02 0.26 0.28 -0.30
400 1250 1.84596E+02 0.28 0 -0.58
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Fig.10
(a) Proton effective dose from literature and calculation; (b) Deviation between literature and calculation
pic

3 Experimental study

3.1 Detection system

The detection system is composed of a detector probe, phototube, and electrometer. The scintillator is an HND-S2 plastic scintillator whose luminescence spectrum is shown in Fig.11. Its luminous attenuation length is larger than 2 m, and its density is 1.05 g/cm3. Its luminescence efficiency falls by only 15% when the fluence of fast neutrons reaches 1×1013 neutrons/cm2 and remains nearly constant after the exposure of 60Co gamma photons reaches 25.8 C/kg. The scintillator has the characteristics of high transparency, small density, and good radiation hardness. The light guide is made of polymethyl methacrylate (PMMA), which does not scintillate from impinging protons. The phototube is a type GD40H, whose window and cathode materials are borosilicate glass and bialkali (KCsSb) respectively. Its spectral response range is 300–650 nm, with a peak wavelength of 400 nm. The spectral response curve of the phototube has a large overlapping range with the luminescence spectrum curve of the scintillator; the peak wavelengths of the two curves are close to each other, and the phototube can make the best use of the light emitted from the scintillator. The electrometer is a Keithley 6517B electrometer manufactured by Keithley Corporation of America. Its charge measurement sensitivity is 10 fC, and it has the characteristics of high sensitivity and low noise. Deposited energy in the plastic scintillator is converted to electric charge, which is measured by the electrometer.

Fig.11
Luminescence spectrum of the HND-S2 plastic scintillator
pic
3.2 Calibration of the detector photoelectric conversion efficiency

The relation between deposited energy and response of the detector is as follows:

qH=QHYHFphμe, (7)

where qH is the quantity of electric charge measured by the electrometer (C), QH is the deposited energy (MeV), YH is the scintillator light yield for protons, or the number of photons generated per MeV (MeV–1). The scintillation light output for the HND-S2 plastic scintillator we adopted is proportional to the proton energy, so YH was taken as constant in this work (8.8×103 MeV–1, 20 °C). Fph is the light transfer efficiency in the scintillator and the light guide (dimensionless). μ is the average quantum efficiency of the incident light on the cathode of the phototube (dimensionless). e is elementary charge (C). The product of Fph and μ is defined as the detector’s photoelectric conversion efficiency η, which can be calibrated on a cobalt source:

η=Fphμ=qγQγYγe, (8)

where qγ is the response of the detector when it is exposed to a cobalt source, Qγ is the deposited energy of gamma rays in the scintillator, and is calculated using the MCNPX program based on the calibration experiment condition. Yγ is the scintillator light yield for gamma rays, provided by the corporation that manufactured the scintillator. The calibration experiment was performed in a 60Co γ-radiation field of Northwest Institute of Nuclear Technology (NINT). The calibration results of the detector photoelectric conversion efficiency are shown in Table 3, where d is the distance from the center of the detector probe to the cobalt source.

Table 3
Calibration results of the detector photoelectric conversion efficiency
d (m) Qγ(MeV) qγ(C) Yγ(MeV-1) η (%)
0.7 6.06×109 49.00×10-9 1.06×104 0.48
1.0 2.94×109 24.20×10-9 1.06×104 0.49
1.5 1.34×109 10.80×10-9 1.06×104 0.48
2.0 0.72×109 6.25×10-9 1.06×104 0.51
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3.3 Verification experiment

Isotropic irradiation is an ideal condition. Taking into account the reality, the detector was irradiated in unidirectional proton field. The verification experiment was performed on the platform of the HI-13 tandem accelerator-upgrading project of the China Institute of Atomic Energy. The platform can provide unidirectional proton beams in the energy range of 30 MeV to 100 MeV, with irradiation area of 75 mm×75 mm [29]. The detector was irradiated on the platform from four directions: antero-posterior (AP, x), postero-anterior (PA, –x), left lateral (LLAT, –y) and right lateral (RLAT, y). The irradiation directions with respect to the detector probe are defined in Fig.12. The four irradiation directions (PA/AP/LLAT/RLAT) were set normal to the common axis of the light guide and phototube to prevent direct irradiation of the phototube by the proton beam.

Fig.12
Different irradiation directions with respect to the detector probe
pic

Deposited energy QH in the scintillator in the experimental proton field can be calculated by the MCNPX program [30]. The shielding effect of the light guide and both energy straggling and angle straggling effects of the proton beams had already been considered in the calculation model. Combined with the calibrated detector photoelectric conversion efficiency, the theoretical response qH of the detector can be obtained by Eq. (7). The theoretical response qH and the experimental response qH were compared to verify the detector design, as shown in Fig.13.

Fig.13
Total frame diagram of the verification experiment
pic

Fig.14 shows the experiment setup. The deviation δ between the theoretical response and the experimental response of the detector is presented in Table 4, where δ=(qHqH')/qH'.

Table 4
Detector design verification experiment results
Proton energy (MeV) AP PA LLAT RLAT
qH(×10-9C) qH'(×10-9C) δ(%) qH(×10-9C) qH'(×10-9C) δ(%) qH(×10-9C) qH'(×10-9C) δ(%) qH(×10-9C) qH'(×10-9C) δ(%)
30 16.5 17.6 -6.25 25.9 25.3 2.37 15.2 13.9 9.35 18.1 15.4 17.53
40 26.2 28.0 -6.43 40.6 44.8 -9.38 24.2 24.3 -0.41 28.4 25.7 10.51
50 872.3 860.2 1.41 1401.0 1632.4 -14.18 804.5 733.2 9.72 1010.5 1044.5 -3.26
60 1246.6 1120.3 11.27 2017.5 2241.8 -10.01 1143.8 1092.3 4.71 1414.7 1386.1 2.06
70 1723.3 1854.0 -7.05 2757.4 2984.5 -7.61 1562.6 1425.3 9.63 1914.2 1872.5 2.23
80 1728.4 1857.4 -6.95 2806.5 3349.7 -16.22 1574.2 1585.4 -0.71 1922.5 2143.8 -10.32
90 2088.3 2142.7 -2.54 3379.0 3249.7 3.98 1610.5 1515.6 6.26 1982.3 2242.4 -11.60
100 2783.8 2585.0 7.69 4457.6 3865.0 15.33 1709.1 1750.6 -2.37 2066.1 2541.2 -18.70
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Fig.14
(Color online) Detector design verification experiment site
pic

The difference between calculation and measurement ranges from –18.70% to 17.53% as shown in Table 4. Considering the stability of the proton beam intensity, temperature effects of the scintillator light yield, and proton radiation damage to the scintillator during the experiment, formula (7) can be transformed into

qH=0t0IH(t)QH¯YH(T(t),D(t))ηedt  , (9)

where t0 (s) is the duration of each irradiation in Table 4, IH(t) (protons/s) is the proton beam intensity at time t, QH¯ (MeV) is the deposited energy in the scintillator of each source proton calculated using the MCNPX program, T(t) (K) is the temperature of the scintillator at time t, and D(t)

(Gy) is the accumulated absorbed dose of the scintillator at time t.

If we neglect scintillator heat dissipation in each irradiation process, and assume that all of the deposited energy was converted into heat, which raised the temperature of the scintillator, then the maximum temperature rise of the scintillator would be ΔT=IHt0QH¯/(mc)=1.56×10–3 K (PA, 100 MeV), where c=1330 Jkg-1K-1 is the specific heat capacity of the scintillator, m=0.0497 kg  is the mass of the scintillator, IH = 2.5×109 protons/s, t0=60 s, and QH¯=4.30736 MeV. Within –50 to 100 °C, the temperature coefficient of the scintillator light yield is 0.068%/K, therefore, in the experiment, the change in the scintillator light yield caused by its own temperature rise is negligible. In the experiment, if we take the proton beam intensity as constant (2.5×109 protons/s) and neglect its fluctuation (within ±15%), then the accumulated absorbed dose of the scintillator over 32 irradiations is D=IHt0QH¯/m=3.6 Gy, which is so small that its influence on the light yield and optical transmittance of the scintillator is negligible [26]. The theoretical response of the detector was proportional to the proton beam intensity, whose fluctuation (within ±15%) during the experiment was the dominant cause of the difference between the calculated and measured results.

4 Conclusion

In this study, an indirect space proton effective dose measurement method was first proposed based on the ICRP-116. The scintillation detector was simulated by the MCNPX program for 10–400 MeV protons and the deposited energy was nearly proportional to the corresponding effective dose provided by the ICRP-116. A prototype of the detector was constructed to conduct a verification experiment on the platform of the HI-13 tandem accelerator-upgrading project of the China Institute of Atomic Energy. Experimental results validated the feasibility of the theoretical design of the detector, to some extent. Future work will consider a different type of scintillator with larger density and smaller volume; hence, the reduced mass and volume will address the expensive launch of manned spaceflights. The detector probe will be shaped to a more spherical design such as a Buckyball to achieve a more precise simulation of the isotropic irradiation condition of astronauts in space, and the radiation hazard to astronauts from particles other than protons in space will be estimated.

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