Introduction
Nuclear detonations can be classified into three main categories based on their location: underground or underwater, ground and surface, and low and high altitudes. High-altitude nuclear detonations differ significantly from other types of detonations [1]. According to publicly available data from the U.S. military [2], a typical low-altitude detonation mainly transmits energy through shock waves, whereas high-altitude nuclear detonations are primarily radiation driven, and the proportion of X-ray energy released (TNT equivalent) at the moment of detonation can reach up to 85% of the total equivalent [3]. Pulsed X-rays formed by high-altitude nuclear detonations serve as specific monitoring signals for such detonations [4-6]. After detonation, the X-rays interact with the atmosphere and eventually reach the satellite-borne X-ray detectors. Studying the physical processes of atmospheric X-ray transmission is essential for monitoring high-altitude nuclear detonations and detecting illegal nuclear tests under the Comprehensive Nuclear Test Ban Treaty.
Owing to treaty limitations, high-altitude nuclear weapon testing cannot be conducted. Therefore, current research on X-ray atmospheric transmission calculations for high-altitude nuclear detonations uses two primary methods: Monte Carlo and analytical methods. Harris et al. of the U.S. Defense Nuclear Agency developed the ATR calculation code, which uses Monte Carlo simulations to calculate the radiation environment generated by nuclear detonation X-rays and neutrons at different altitudes in the atmosphere [7]. The Ballistic Research Laboratory developed the FLAIR code, which obtains the photon energy, angle, and time for X-ray and gamma-ray transmissions using Monte Carlo database calculations [8]. Liu et al. used the Monte Carlo method to simulate the characteristic ring pinhole imaging of nuclear detonation X-rays under equivalent temperature blackbody spectra of 1.4 and 3.8 keV [9]. They established a reverse nuclear detonation equivalent table and roughly inferred the nuclear detonation equivalent through a table look-up method. Liu et al. analyzed a nuclear detonation debris cloud that generates pulsed X-rays and established a fluid dynamics model of debris motion from a near-space nuclear detonation with a TNT equivalent of 1 kt–10 Mt and a burst height of 30–80 km [10]. The results showed that the maximum height, horizontal radius, and speed of the debris cloud increase with increasing explosion height and TNT equivalent. Ou-Yang et al. used analytical numerical simulation methods to investigate the effects of nuclear detonation pulsed X-rays on the ionization and evolution of the atmosphere at different burst heights and radiation angles [11]. Xu performed analytical calculations of nuclear detonation X-ray energy deposition and demonstrated that the energy deposition is proportional to the TNT equivalent of the nuclear detonation [12]. In general, Monte Carlo methods can achieve high computational accuracy, but they are computationally expensive and cannot be applied to scenarios requiring rapid responses, such as nuclear detonation detection. Furthermore, Monte Carlo methods cannot directly infer the TNT equivalent from the output of nuclear detonation detectors. An effective way for improving both the calculation speed and inversion of the nuclear detonation equivalent is to use analytical methods. However, the current analytical methods consider only the atmospheric attenuation effect on the direct X-ray transmission orientation. Owing to their failure to consider scattered X-rays, analytical methods have inferior calculation accuracy than Monte Carlo methods. Based on Monte Carlo simulations, Xiao et al. concluded that the high-energy nuclear detonation X-ray fluence originates mostly from non-collision X-rays, whereas the low-energy fluence originates mainly from X-rays scattered during transmission [13]. High-altitude nuclear detonations constitute a significant proportion of low-energy X-rays. Thus, it is necessary to compute scattered X-rays using analytical methods.
To address the above issue, this study established an atmospheric transmission model for pulsed X-rays in high-altitude nuclear detonations. The scattering effect was corrected using build-up factors and scattering correction coefficients. We used the proposed method to calculate the energy fluences of high-altitude nuclear detonation pulsed X-rays at different satellite altitudes, burst heights, TNT equivalents, and transmission angles.
Method
Nuclear detonation X-ray source
The temperature of an X-ray fireball generated by a nuclear detonation can reach 106-107 K. At this temperature, the substances in the area surrounding the detonation are completely ionized, forming high-temperature plasma [14]. The plasma exhibits a large contrast with its surroundings and can be approximated as a blackbody [3, 15]. The normalized energy spectrum can be represented by the Planck blackbody spectrum as follows:
Some studies [16, 17] have shown that the equivalent temperature of X-ray fireballs is related to the design details of the nuclear weapon detonation processes and projectile materials. X-ray sources can be broadly divided into three categories based on the projectile type: fission bombs, ordinary hydrogen bombs, and enhanced X-ray weapons. The X-ray energy spectrum of a fission bomb can be characterized using a single blackbody spectrum with an equivalent temperature of approximately 1–2 keV. The X-ray energy spectra of other types of weapons can be characterized using composite blackbody spectra obtained by combining multiple blackbody spectra in different proportions. Here, the nuclear detonation X-ray source was a fission atomic bomb with an equivalent temperature of 1.4 keV.
Atmospheric transmission model
To calculate the parameters of nuclear detonation X-ray transmission to satellite-borne detectors, it is necessary to establish a mathematical model for nuclear detonation X-ray transmission through the atmosphere. The U.S. Standard Atmosphere 1976 was used in the atmospheric model in this study [18]. The atmosphere above 1000 km is extremely thin and can be considered a vacuum environment with an atmospheric density of 0. Statistically [19], the atmosphere is mostly distributed below 90 km, and the ratios of major elements (C, N, O, etc.) in the atmosphere hardly change in the 40–90 km range. The density of the atmosphere from 90 to 120 km is low, and the proportions of N and O vary, whereas the contents of the other components are very small. Monte Carlo simulations verified that the change in the proportion of each component in the atmosphere with altitude has a negligible effect (with a maximum relative error of less than 0.6% compared with the results for a fixed component) on the X-ray photon energy fluence. Therefore, it was assumed that the atmospheric composition is independent of altitude. Supposing that Earth is a standard sphere, the atmospheric density is approximated to have a spherically symmetric distribution.
The transmission parameters were calculated by establishing the transmission path relationship between detector A (where the altitude of the satellite is hA), detonation point B(B’) (where the burst height is hB), and Earth (where the spherical center is O, and the Earth’s radius is RE). δ is the observation angle, α is the transmission angle, and AB(AB’) is the X-ray transmission path, as shown in Fig. 1.
-202403/1001-8042-35-03-004/alternativeImage/1001-8042-35-03-004-F001.jpg)
Direct transmission
If a nuclear weapon detonates, X-rays interact with the atmosphere surrounding Earth layer-by-layer, starting at the detonation point, until they reach the satellite-borne X-ray detector. Nuclear detonation X-rays transmitted to satellite detectors consist of two components: directly transmitted [20] and scattered X-rays. First, we calculated the directly transmitted X-rays.
The atmosphere from the detonation point to the atmospheric boundary was assumed to be vertically divided into
Calculation of the X-ray transmission attenuation requires the atmospheric column density
(I) Case 1: Transmission angle
α≥90°
This case corresponds to detonation-point location
For △CBO, according to the cosine theorem,
By analogy, the recurrence relation
The length
The atmospheric column density of the transmission path in Case 1 can be expressed as
(II) Case 2: Transmission angle
α<90°
This case corresponds to detonation-point location
In this case, the total number of layers
Layer MB'G can be divided into three parts:
In △
The other recurrence relations for
For
Similarly, the transmission path length
The atmospheric column density of
The atmospheric column density of the transmission path in Case 2 can be written as
After calculating the atmospheric column density
After detonation, the radiation generated by the X-ray source spreads spherically to the surrounding areas. The radiant intensity of nuclear detonation pulsed X-rays with energy
Build-up factor
In addition to being attenuated by collisions with atmospheric particles, X-rays undergo scattering. In this study, the correction for direct-transmission orientation scattering was made using the build-up factor. Bridgman defined the build-up factor as “direct and unreacted photons plus the scattered contribution.” [24] The build-up of X-ray intensity
The single-scattering intensity was derived by Bigelow and Winfield [25], and the results of multiple scattering were derived by Renken using the Boltzmann transfer equation [26]. The relationship between the build-up factor
Tayler fitted the build-up factor as a function [27] based on Monte Carlo simulation results:
The X-ray build-up factor is related to Compton scattering. Kalansky concluded that, based on the Compton scattering of photons, the value of the build-up factor can be divided into three segments depending on the X-ray energy
(I) For
(II) For
(III) For E>750 keV, the electron pair effect is dominant, and this fitting formula is no longer applicable.
For the nuclear detonation X-ray source adopted in this study (fission atomic bomb), only approximately 1% of the X-ray energy was greater than 10TX, which corresponded to an energy of 14 keV. The proportion of X-rays with
The energy fluence represents the total energy of photons entering a spherical body per unit cross-sectional area during X-ray emission [29]. The initial energy fluence
When a nuclear weapon is detonated at a high altitude, the spectrum peak and duration remain in the order of nanoseconds to hundreds of nanoseconds [17]. Thus, it can be assumed that the X-ray energy spectrum does not vary with time during the observation [16]; therefore, the effect of time
In the direct-transmission orientation, the transmission coefficient [31]
By ignoring the influence of time
Monte Carlo-based scattering coefficient correction
Because the nuclear detonation source can be approximated as a point source, the X-rays emitted after detonation radiate spherically toward the surrounding area. Therefore, in numerical simulations, in addition to considering the correction of direct-transmission scattering using build-up factors, it is necessary to consider the scattering effect of X-rays from other orientations. This study established a correction factor table to correct the energy fluence based on Monte Carlo simulation results. X-ray transport simulations were performed using the SuperMC Monte Carlo simulation software.
The average energy fluence
Here,
The detector counting results simulated using the Monte Carlo method were considered valid when the statistical error was within 5% [33]. The maximum permissible number of particles for each simulation condition was
By comparing the data of Monte Carlo simulated energy fluence
hB (km) | K | Rz | hB (km) | K | Rz | hB (km) | K | Rz |
---|---|---|---|---|---|---|---|---|
42 | 1.4550 | 0.9999 | 60 | 1.3168 | 0.9993 | 78 | 1.0625 | 0.9995 |
44 | 1.7756 | 0.9999 | 62 | 1.2717 | 0.9993 | 80 | 1.0513 | 0.9995 |
46 | 1.8236 | 0.9999 | 64 | 1.2329 | 0.9994 | 85 | 1.0454 | 0.9990 |
48 | 1.8479 | 0.9999 | 66 | 1.1985 | 0.9994 | 90 | 1.0477 | 0.9982 |
50 | 1.5682 | 0.9999 | 68 | 1.1675 | 0.9995 | 95 | 1.0214 | 0.9997 |
52 | 1.5362 | 0.9999 | 70 | 1.1401 | 0.9995 | 100 | 1.0071 | 0.9920 |
54 | 1.4864 | 0.9996 | 72 | 1.1160 | 0.9995 | >100 | ≈1 | - |
56 | 1.4275 | 0.9994 | 74 | 1.0948 | 0.9995 | |||
58 | 1.3690 | 0.9993 | 76 | 1.0770 | 0.9995 |
Results
Comparison with Monte Carlo simulation results
The calculation conditions for the analytical simulation of the atmospheric transmission of pulsed X-rays from high-altitude nuclear detonations are listed in Table 2.
Variable | Value | Bullet type |
---|---|---|
Satellite altitude, hA (km) | 20000 | Fission atomic bomb (TX=1.4 keV) |
Burst height, hB (km) | 42-1500 | |
Transmission angle, α (°) | 89-180 | |
Detonation equivalent, Q (kt TNT) | 100 | |
Proportion of the X-ray equivalent η | 0.7 |
For each burst height, we randomly selected no less than six transmission angles from 89, 90, 95, 100, 110, 120, 130, 140, 150, and 160° and calculated the corresponding initial energy fluence
-202403/1001-8042-35-03-004/alternativeImage/1001-8042-35-03-004-F002.jpg)
For each burst height, we randomly selected no less than six transmission angles from 89, 90, 95, 100, 110, 120, 130, 140, 150, and 160° and calculated the corresponding initial energy fluence
The energy fluence
hB (km) | Suggested availability range of α |
---|---|
42~64 | ≥120° |
64~74 | ≥110° |
74~90 | ≥100° |
90~100 | ≥95° |
100~130 | ≥90° |
Above 130 | ≥89° |
To validate the algorithm, we compared the proposed analytical method and another method without scattering correction with the Monte Carlo method. The results are presented in Table 4, where the uncorrected energy fluence
hB(km) | α(°) | Energy fluence (keV/cm2) | ||||||
---|---|---|---|---|---|---|---|---|
Monte Carlo energy fluence ΦMC | Uncorrected energy fluence φ | Relative error between φ and ΦMC | Initial energy fluence Φ0 | Relative error between Φ0 and ΦMC | Energy fluence Φ | Relative error between and Φ and ΦMC | ||
42 | 120 | 2.3785×106 | 7.6610×105 | -67.79% | 1.5632×106 | -34.28% | 2.2744×106 | -4.38% |
130 | 6.2691×106 | 2.3916×106 | -61.85% | 4.3270×106 | -30.98% | 6.2959×106 | 0.43% | |
140 | 1.2065×107 | 4.9709×106 | -58.80% | 8.3617×106 | -30.69% | 1.2166×107 | 0.84% | |
160 | 2.5130×107 | 1.1004×107 | -56.21% | 1.7199×107 | -31.56% | 2.5024×107 | -0.42% | |
54 | 110 | 7.8992×107 | 3.7116×107 | -53.01% | 5.0120×107 | -36.55% | 7.4498×107 | -5.69% |
120 | 2.0101×108 | 1.0322×108 | -48.65% | 1.2743×108 | -36.60% | 1.8942×108 | -5.77% | |
140 | 5.3173×108 | 3.1004×108 | -41.69% | 3.5159×108 | -33.88% | 5.2260×108 | -1.72% | |
150 | 6.9533×108 | 4.2153×108 | -39.38% | 4.6872×108 | -32.59% | 6.9670×108 | 0.20% | |
78 | 100 | 5.1513×109 | 4.3856×109 | -14.86% | 4.4090×109 | -14.41% | 4.6845×109 | -9.06% |
120 | 1.2748×1010 | 1.1749×1010 | -7.84% | 1.1761×1010 | -7.74% | 1.2496×1010 | -1.98% | |
130 | 1.5688×1010 | 1.4671×1010 | -6.48% | 1.4682×1010 | -6.41% | 1.5599×1010 | -0.57% | |
140 | 1.8193×1010 | 1.7172×1010 | -5.61% | 1.7182×1010 | -5.56% | 1.8256×1010 | 0.35% | |
100 | 90 | 1.4196×1010 | 1.3528×1010 | -4.71% | 1.3533×1010 | -4.68% | 1.3629×1010 | -4.00% |
95 | 2.2652×1010 | 2.1767×1010 | -3.91% | 2.1769×1010 | -3.90% | 2.1924×1010 | -3.22% | |
100 | 2.6434×1010 | 2.5813×1010 | -2.35% | 2.5814×1010 | -2.35% | 2.5997×1010 | -1.65% | |
110 | 3.1234×1010 | 3.0919×1010 | -1.01% | 3.0920×1010 | -1.01% | 3.1139×1010 | -0.30% |
Based on the data in Table 4, the results obtained by the uncorrected analytical method are significantly different from those obtained by the Monte Carlo simulation. Because the uncorrected analytical method does not consider the scattering effect, all its energy fluence values are lower than those of the Monte Carlo simulation. Under a burst height of 42 km and transmission angle of 120°, the relative error between the two reaches 67.79%. An improvement in accuracy is evident after scattering correction, with an increase of more than 60% in this case.
To further verify the accuracy, the results under different satellite altitudes, burst heights, and equivalent conditions were compared, as listed in Table 5.
Q(kt TNT) | hA (km) | hB (km) | α(°) | Energy fluence (keV/cm2) | ||||||
---|---|---|---|---|---|---|---|---|---|---|
ΦMC | φ | Relative error between φ and ΦMC | Φ0 | Relative error between φ and ΦMC | Φ | Relative error between φ and ΦMC | ||||
100 | 10,000 | 60 | 120 | 2.9410×109 | 1.9120×109 | -34.99% | 2.0616×109 | -29.90% | 2.7147×109 | -7.69% |
130 | 4.8608×109 | 3.3776×109 | -30.51% | 3.5544×109 | -26.88% | 4.6805×109 | -3.71% | |||
150 | 8.8068×109 | 6.5290×109 | -25.86% | 6.7381×109 | -23.49% | 8.8727×109 | 0.75% | |||
160 | 1.0376×1010 | 7.8116×109 | -24.71% | 8.0298×109 | -22.61% | 1.0574×1010 | 1.91% | |||
10,000 | 63 | 120 | 5.4753×109 | 3.8447×109 | -29.78% | 4.0021×109 | -26.91% | 5.0118×109 | -8.46% | |
130 | 8.5729×109 | 6.3309×109 | -26.15% | 6.5018×109 | -24.16% | 8.1422×109 | -5.02% | |||
140 | 1.1731×1010 | 8.9292×109 | -23.88% | 9.1088×109 | -22.35% | 1.1407×1010 | -2.76% | |||
150 | 1.4639×1010 | 1.1358×1010 | -22.42% | 1.1544×1010 | -21.15% | 1.4456×1010 | -1.25% | |||
15,000 | 45 | 120 | 2.0115×107 | 6.2783×106 | -68.79% | 1.0734×107 | -46.64% | 1.9317×107 | -3.97% | |
130 | 4.7660×107 | 1.6490×107 | -65.40% | 2.5733×107 | -46.01% | 4.6309×107 | -2.84% | |||
150 | 1.2675×108 | 4.7031×107 | -62.89% | 6.7138×107 | -47.03% | 1.2082×108 | -4.67% | |||
160 | 1.6430×108 | 6.1871×107 | -62.34% | 8.6410×107 | -47.41% | 1.5550×108 | -5.35% | |||
36,000 | 48 | 110 | 4.0104×106 | 1.2709×106 | -68.31% | 2.1608×106 | -46.12% | 3.9930×106 | -0.43% | |
120 | 1.2648×107 | 4.7400×106 | -62.52% | 7.0798×106 | -44.02% | 1.3083×107 | 3.44% | |||
140 | 4.1604×107 | 1.6980×107 | -59.19% | 2.2622×107 | -45.63% | 4.1802×107 | 0.48% | |||
160 | 7.0581×107 | 3.0006×107 | -57.49% | 3.8058×107 | -46.08% | 7.0328×107 | -0.36% | |||
200 | 18,000 | 53 | 110 | 1.4151×108 | 6.2294×107 | -55.98% | 8.7038×107 | -38.49% | 1.3154×108 | -7.05% |
120 | 3.7582×108 | 1.8078×108 | -51.90% | 2.3010×108 | -38.77% | 3.4776×108 | -7.46% | |||
130 | 6.9098×108 | 3.5612×108 | -48.46% | 4.2852×108 | -37.98% | 6.4762×108 | -6.28% | |||
140 | 1.0438×109 | 5.6740×108 | -45.64% | 6.5904×108 | -36.86% | 9.9600×108 | -4.58% | |||
13,000 | 71 | 110 | 1.5772×1010 | 1.2566×1010 | -20.32% | 1.2706×1010 | -19.44% | 1.4333×1010 | -9.13% | |
120 | 2.5274×1010 | 2.1047×1010 | -16.72% | 2.1171×1010 | -16.23% | 2.3882×1010 | -5.51% | |||
130 | 3.4483×1010 | 2.9472×1010 | -14.53% | 2.9587×1010 | -14.20% | 3.3376×1010 | -3.21% | |||
140 | 4.2982×1010 | 3.7358×1010 | -13.08% | 3.7467×1010 | -12.83% | 4.2265×1010 | -1.67% | |||
500 | 36,000 | 83 | 100 | 1.7172×1010 | 1.5166×1010 | -11.69% | 1.5188×1010 | -11.55% | 1.5914×1010 | -7.33% |
110 | 2.5966×1010 | 2.3960×1010 | -7.73% | 2.3974×1010 | -7.67% | 2.5119×1010 | -3.27% | |||
120 | 3.2144×1010 | 3.0240×1010 | -5.92% | 3.0250×1010 | -5.89% | 3.1695×1010 | -1.40% | |||
160 | 4.5756×1010 | 4.4064×1010 | -3.70% | 4.4070×1010 | -3.69% | 4.6175×1010 | 0.91% |
The data in Table 5 indicate that the relative error between and can be controlled within 10% by interpolating the scattering correction coefficient for burst heights that are not listed in Table 1. Moreover, the value applies to satellite altitudes greater than 10000 km. Good agreement between the proposed analytical method and Monte Carlo simulation can be observed for the selected available transmission angles.
The computation time [34] of the proposed analytical algorithm is reduced to 1/48000 of the time taken by the Monte Carlo method. Table 6 presents a comparison of the time required by the two methods to calculate six different burst heights, with each height corresponding to 10 transmission angles in parallel.
Calculation method | Number of simulated photons at each burst height | Calculation method | Calculation time | Calculation platform |
---|---|---|---|---|
Monte Carlo | 2×109 | Concurrent (MPI method) | 3610 min | System: windows7 |
Analytical | - | Sequential | 4.5 s | System: windows10 |
Numerical simulation calculation results
First, the variation in atmospheric column density corresponding to different transmission angles for different burst heights was calculated, as depicted in Fig. 3. As the transmission angle decreases, the transmission path and atmospheric column density increase. The atmospheric column density changes considerably when the transmission angle is approximately 90°. This is because when the transmission angle is less than 90°, the X-rays pass through the low-altitude and high-density atmosphere below the detonation point, resulting in a significant increase (
-202403/1001-8042-35-03-004/alternativeImage/1001-8042-35-03-004-F003.jpg)
Subsequently, the X-ray build-up factors were calculated for different burst heights and transmission angles, as displayed in Fig. 4. The build-up factor increases from 0 to 75 keV before gradually decreasing. The burst height and transmission angle significantly affect the build-up factor. The build-up factor varies substantially for transmission angles above and below 90°. The atmospheric density is relatively high when the burst height is less than 80 km and the build-up factor is relatively large. It can be concluded that there are many scattered X-rays in the direct-transmission orientation. Moreover, X-rays in the energy band of 50–150 keV have scattering intensities exceeding direct transmission by a factor of 100 in the case of a 50 km burst height and 89° transmission angle. As the burst height increases, the atmosphere gradually becomes thinner and the scattering effect decreases. The build-up factor is close to 1 above a burst height of 100 km, and the influence of direct-transmission orientation scattering can be ignored.
-202403/1001-8042-35-03-004/alternativeImage/1001-8042-35-03-004-F004.jpg)
Finally, as illustrated in Fig. 5, under an initial explosive equivalent
-202403/1001-8042-35-03-004/alternativeImage/1001-8042-35-03-004-F005.jpg)
Conclusion
In this study, we developed an atmospheric transmission algorithm for pulsed X-rays from high-altitude nuclear detonations based on scattering correction. This method performs scattering correction on the energy fluence of nuclear-detonation pulsed X-rays transmitted through the atmosphere in the altitude range of 42–1500 km to a satellite at 10000–36000 km (altitude for geosynchronous satellites). We provided the recommended applicable range of the transmission angle, and the data showed good agreement between the proposed analytical method and Monte Carlo simulation for the selected available transmission angles, which can meet the requirements of high-altitude nuclear detonation monitoring. The proposed method reduced the time cost to 1/48000 of that of the Monte Carlo method. The maximum relative error between the simulation results of the traditional analytical method and Monte Carlo method was 67.79%. Using the proposed method, this error could be controlled to within 10% under the same calculation conditions, and even within 1% under certain conditions. The value of the scattering correction coefficient in the indirect-transmission orientation decreased gradually with an increase in burst height. Scattering was concentrated in the region below a burst height of 100 km, and a burst height of 80 km was considered the variation boundary of the energy fluence. The proposed method has great theoretical significance and engineering application value for the design of satellite-borne X-ray detectors, inversion of the nuclear detonation equivalent, and assessment of ionospheric effects.
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