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Atmospheric transmission algorithm for pulsed X-rays from high-altitude nuclear detonations based on scattering correction

ACCELERATOR, RAY TECHNOLOGY AND APPLICATIONS

Atmospheric transmission algorithm for pulsed X-rays from high-altitude nuclear detonations based on scattering correction

Ding-Han Zhu
Xiong Zhang
Xiao-Qiang Li
Peng Li
Yan-Bin Wang
Shuang Zhang
Nuclear Science and TechniquesVol.35, No.3Article number 52Published in print Mar 2024Available online 03 May 2024
54703

In high-altitude nuclear detonations, the proportion of pulsed X-ray energy can exceed 70%, making it a specific monitoring signal for such events. These pulsed X-rays can be captured using a satellite-borne X-ray detector following atmospheric transmission. To quantitatively analyze the effects of different satellite detection altitudes, burst heights, and transmission angles on the physical processes of X-ray transport and energy fluence, we developed an atmospheric transmission algorithm for pulsed X-rays from high-altitude nuclear detonations based on scattering correction. The proposed method is an improvement over the traditional analytical method that only computes direct-transmission X-rays. The traditional analytical method exhibits a maximum relative error of 67.79% compared with the Monte Carlo method. Our improved method reduces this error to within 10% under the same conditions, even reaching 1% in certain scenarios. Moreover, its computation time is 48000 times faster than that of the Monte Carlo method. These results have important theoretical significance and engineering application value for designing satellite-borne nuclear detonation pulsed X-ray detectors, inverting nuclear detonation source terms, and assessing ionospheric effects.

High-altitude nuclear detonationAtmospheric transmissionPulsed X-raysScattering correctionAnalytical methodMonte Carlo method
1

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.

2

Method

2.1
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: P(E,TX)=15(π×TX)4E3exp(E/TX)1, (1) where E is the energy of the X-ray photons and  TX is the equivalent temperature of the X-ray fireball. The energy spectrum represents the probability of the X-ray energy distribution. Assuming that u=E/TX is a dimensionless energy ratio, the normalized energy spectrum can be written as P(u)=15π4u3exp(u)1. (2)

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.

2.2
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.

Fig. 1
(Color online) High-altitude nuclear detonation X-ray transmission
pic
2.3
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 N(M) layers according to the 1976 standard atmosphere. The stratification height of the i-th  (0iN(M))  atmosphere layer is ΔSi. The layer containing the detonation point is the 0-th layer, with ΔS0=0. Other stratification heights ΔSi are a piecewise function of altitude h: ΔSi(1iN(M))={0.1, 0h302, 30<h905, 90<h1000 (3)

Calculation of the X-ray transmission attenuation requires the atmospheric column density ρS along the transmission path [21]. The atmospheric column density, also known as mass absorption distance, is the integral of the atmospheric density per unit length over distance. Two cases were considered for ρS according to the transmission angle α.

(I) Case 1: Transmission angle

α≥90°

This case corresponds to detonation-point location B in Fig. 1. The transmission paths are BCBDBA. The layered paths are BCCDA. In this case, the transmission paths are all above the burst height hB of point B. The total number of layers N can be written as N=N1+N2, (4) where N1 and N2 represent the number of layers within the 30–90 km range and 90–1000 km range, respectively. N1={90hB2,30hB900,else, (4a) N2={182,30hB901000hB5,     else. (4b)

For △CBO, according to the cosine theorem, OC2=BC2+OB22BC×OB×cosα, (5) where OC=RE+hB+ΔS1 and OB=RE+hB. Suppose that BC=X1, and X1=H×cosα+H2×cos2α+4(ΔS12+H×ΔS1)2, (6) where H=2(RE+hB), and the length ΔX1 of the first layered path BC is ΔX1=X1. (7)

By analogy, the recurrence relation Xn(2nN) for the length of BCBDBA is Xn=H×cosα+H2×cos2α+4((i=1nΔSi)2+H×i=1nΔSi)2. (8)

The length  ΔXn(2nN) of the n-th layered path of BCCDA is ΔXn=XnXn1. (9)

The atmospheric column density of the transmission path in Case 1 can be expressed as ρS(hB,α90 °)=n=1NΔXn×ρV(hB+i=0n1ΔSi), (10) where ρV(h) is the atmospheric density at altitude h.

(II) Case 2: Transmission angle

α<90°

This case corresponds to detonation-point location B in Fig. 1. The transmission paths are BFBGBCBDBA. The layered paths are BFFGGCCDA. In this case, some layered paths are partially above the burst height hB, such as GC; others are below hB, such as BG. To distinguish from the layers above the burst height hB, the stratification height in section BG is expressed using Δsi, whose physical meaning and expression are the same as  ΔSi in Equation (3).

In this case, the total number of layers M can be written as M=N+MB"G, (11) where N is given by Eq. (4) in Case 1, and MB'G represents the number of layers in section BG. MB'G is related to the shortest altitude hmin of the transmission path to Earth’s ground and burst height hB, where OF=(RE+hA)×sinδ=12HA×sinδ, (12) hmin=OFRE. (13)

Layer MB'G can be divided into three parts: MB"G=M1+M2+M3, (14) where M1, M2, and M3  represent the number of layers below 30 km, between 30 and 90 km, and between 90 and 1000 km, respectively. They can be expressed as M1={30hmin0.1, hmin300,      else, (14a) M2={hB302, (hmin30) and (30hB90)30, (hmin30) and (hB>90)hBhmin2, (30hmin90) and (30hB90)90hmin2, (30hmin90) and (hB>90)0,      else, (14b) M3={hB905, (hmin30) and (hB>90)hmin905, (30hmin90) and (hB>90)hBhmin5, hmin>900,      else. (14c)

In △B'C'O, where B'C'=X1, the length ΔX1 of the first layered path GC' above the burst height hB is ΔX1=X12FB=X12(H/2)2(HA/2)2×sin2δ. (15)

The other recurrence relations for Xn and ΔXn are the same as those in Equations (8) and (9) in Case 1.

For B'G below burst height hB, the detonation point can be equated to point F, where point B" is equivalent to the satellite. According to the geometric relationship, BG=2BF, (16) the transmission paths of section BF have a recurrence relationship similar to that of Case 1. The first-layer transmission path length x1 and layered path length Δx1 below the burst height hB have the following relationship: Δx1=x1=(OF+Δs1)2OF2=HA×sinδ×Δs1+Δs12. (17)

Similarly, the transmission path length xm and layered path length Δxm(2mMB"G) below burst height hB  have a recursive relationship: xm=HA×sinδ×i=1mΔsi+(i=1mΔsi)2, (18) Δxm=xmxm1. (19)

The atmospheric column density of BF is defined as extra ρSe and is expressed as ρSe=m=1MΔxm×ρV(hmin+i=0m1Δsii=0m1). (20)

The atmospheric column density of the transmission path in Case 2 can be written as ρS(hB,α<90 °)=n=1NΔXn×ρV(hB+i=0n1ΔSi)+2ρSe. (21)

After calculating the atmospheric column density ρS for Cases 1 and 2, the X-ray transmission attenuation by the atmosphere can be calculated based on ρS. The mean free path of photons is a general measure of the opacity of a substance and the ability of a medium to absorb radiation [22]. The mean free path λ of X-rays with energy E between the detector and detonation point is defined as λ(E)=μm(E)×ρS , (22) where μm(E) is the mass absorption coefficient of X-rays with energy E, which was interpolated based on discrete data provided on the official NIST website [23].

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 E at the detector can be expressed as I(0)(E)=EE+ΔEKQ×η×Q×f(t)×P(E,TX)4π×R02×exp(λ(E))dE, (23) where I(0)(E) is the intensity of direct-transmission X-rays with energy E; KQ is the equivalent-energy conversion factor (KQ2.6114×1025keV/kt TNT), with the equivalent expressed in kt TNT; f(t) is the X-ray-normalized time spectrum; R0 is the distance from the detonation point to the satellite-borne X-ray detector; and η is the proportion of X-ray equivalent QX in the total detonation equivalent Q. η is related to the nuclear weapon design and its value is generally taken from 0.7 to 0.85 [3]. The expression for the relationship is as follows: η=QXQ. (24)

2.4
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 I for direct and scattered transmissions in the direct-transmission orientation comprises three components: intensity of direct transmission I(0), intensity   after being scattered once in the direct-transmission orientation I(1), and intensity after m(m2) scattering I(m). I=I(0)+I(1)+I(m). (25)

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 FB and radiation fluence in an infinite homogeneous atmosphere for X-rays with energy E is given by I(E)=I(0)(E)×FB(E). (26)

Tayler fitted the build-up factor as a function [27] based on Monte Carlo simulation results: FB(E)=A1×exp(c1×λ(E))+A2×exp(c2×λ(E)), (27) where A1, A2, c1 and c2 are coefficients related to the X-ray photon energy E.

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 E [28]:

(I) For E<12 keV, the Compton scattering is negligible, with FB=1.

(II) For 12 keVE750 keV, Talyer's fitting equation can be used and the Compton scattering cross-section of X-rays with energy greater than 100 keV starts to decrease.

(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 E>750 keV was low and could be ignored [3].

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 Φ0 is defined as the sum of the X-ray energy fluences transmitted and scattered in the direct-transmission orientation [30]. This is the integral of the X-ray intensity over time after correction for the build-up factor. Φ0=Idt=KQ×η×Q4π×R020tf(t)dt0EFB(E)×P(E,TX)×exp(λ(E))dE. (28)

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 t was ignored.

In the direct-transmission orientation, the transmission coefficient [31] τ(E) represents the probability that an X-ray with energy E is transmitted through the atmosphere to the satellite-borne detector without considering geometric attenuation. Owing to the build-up factor, the sum of the transmission coefficients may be greater than 1. The sum of the transmission coefficients at all energies is expressed as τ(E)=E=0FB(E)×P(E,TX)×exp(λ(E)). (29)

By ignoring the influence of time t, the initial energy fluence can be written as Φ0=KQ×η×Q4π×R02×τ(E). (30)

2.5
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 ε¯ of a single photon at the satellite altitude was calculated using Monte Carlo simulation [32]. Energy fluence ΦMC can be calculated by the average energy fluence of individual photons ε¯ amplifying the number of X-rays nX when the detonation equivalent is Q: ΦMC=nX×ε¯ , (31) where nX can be expressed as nX=i=1WKQ×η×Qεi×Ei1EiP(E,TX)dE. (32)

Here, W is the number of energy intervals, and the X-ray energy spectrum was divided into 2×105 energy intervals. εi(1iW) is the average photon energy of the i-th energy interval.

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 2×109. Under these limitations, the Monte Carlo simulation results demonstrated that the lowest credible burst height was approximately 42 km.

By comparing the data of Monte Carlo simulated energy fluence ΦMC with the data of initial energy fluence Φ0, we found a strong linear relationship between the two. Therefore, X-ray energy fluence Φ at satellite altitudes can be further corrected and expressed as Φ=K(hB)×Φ0, (33) where K is the scattering correction coefficient related to burst height hB (listed in Table 1), and R2 is the coefficient of determination. After testing in areas with burst heights hB> 100 km, the simulation results show that K1 is applicable for 100 km <  hB<  1500 km.

Table 1
Scattering correction coefficients applicable to different heights
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      
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3

Results

3.1
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.

Table 2
Numerical simulation calculation conditions
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  
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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 Φ0  corrected by the build-up factor and ΦMC using the Monte Carlo method. Figure 2 shows that Φ0 and ΦMC exhibit a good linear relationship. The slope of the fitting line in Fig. 2 represents the scattering correction coefficient.

Fig. 2
(Color online) Fitting diagram of initial energy fluence and Monte Carlo results
pic

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 Φ0  corrected by the build-up factor and ΦMC using the Monte Carlo method. Figure 2 shows that Φ0 and ΦMC exhibit a good linear relationship. The slope of the fitting line in Fig. 2 represents the scattering correction coefficient.

The energy fluence Φ was corrected by the build-up factor and scattering correction coefficient. For cases where the transmission angle was below 90°, the relative error between Φ and ΦMC exceeded 15%, when the burst height was less than 120 km. The main reason for the large relative error in these cases is that the interaction process between the X-rays and atmosphere becomes more complex after adding the extra atmospheric column density, and the scattering process becomes more difficult to correct. If the transmission angle is appropriately selected based on different burst height conditions, the relative error is within a reasonable range (within 15% is permissible for detection), as listed in Table 3.

Table 3
Suggested transmission angles for different burst heights
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°
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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 φ is the energy fluence at the detector for direct transmission of attenuated X-rays.

Table 4
Energy fluence calculated using the Monte Carlo method, uncorrected analytical method, and proposed method
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%
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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.

Table 5
Verification of randomly selected different detonation equivalents and altitudes
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%
Show more

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.

Table 6
Comparison of calculation time between the Monte Carlo and proposed method
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: windows7CPU: Intel Xeon Gold 6254 (single 18 cores and 36 threads, 2pcs, total 36 cores and 72 threads)RAM: 512GB
Analytical - Sequential 4.5 s System: windows10CPU: Intel Core i7-8650U (4 cores and 8 threads)RAM: 8GB
Show more
3.2
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 (2ρSe is added) in the atmospheric column density. At different burst heights, even at the same transmission angle, the atmospheric column density differs by one order of magnitude. However, for transmission angles greater than 100°, the decrease in atmospheric column density exhibits a similar pattern of variation.

Fig. 3
(Color online) Variation of atmospheric column density
pic

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.

Fig. 4
(Color online) Build-up factors for different burst heights and transmission angles
pic

Finally, as illustrated in Fig. 5, under an initial explosive equivalent Q=100 kt TNT and X-ray equivalent share of 0.7, the burst height of 80 km is considered as the variation boundary. This is because the X-ray mean free path is approximately equal to the atmospheric elevation at that altitude [16]. Therefore, for detonations above 80 km, X-rays emitted upward escape from the atmosphere, whereas X-rays with burst heights below 80 km are strongly absorbed during transmission, and the entire energy emitted downward is deposited in the atmosphere. The energy fluence spans four orders of magnitude. At a burst height of 42 km and transmission angle of 120°, the energy fluence is 2.2744 × 106 keV/cm2. However, it can reach 5.9504 × 1010 keV/cm2 at a burst height of 1500 km and transmission angle of 180°. These results provide a solid basis for the design of satellite-borne X-ray detectors.

Fig. 5
(Color online) Energy fluence for different burst heights and transmission angles
pic
4

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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Footnote

The authors declare that they have no competing interests.