[1] Kiedrowski BC. Review of early 21st-century Monte Carlo perturbation and sensitivity
techniques for k-eigenvalue radiation transport calculations. Nucl Sci Eng. 2017;185:426−444.
[2] Takahashi H. Monte Carlo method for geometrical perturbation and its application to the
pulsed fast reactor. Nucl Sci Eng. 1970;41;259–279.
[3] Matthes W. Calculation of reactivity perturbations with the Monte Carlo method. Nucl
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Sci Eng. 1972;47;234–237.
[4] Hoffman TJ, Petrie LM, Landers NF. A Monte Carlo perturbation source method for
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reactivity calculations. Nucl Sci Eng. 1978;66;60−66.
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[5] Nakagawa M, Asaoka T. Improvement of correlated sampling Monte Carlo methods for
reactivity calculations. J Nucl Sci Technol. 1978;15;400−410.
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[6] Preeg WE, Tsang JSK. Comparison of correlated Monte Carlo techniques. Trans Am
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Nucl Soc. 1982;43;628–629.
[7] Rief H. Generalized Monte Carlo perturbation algorithms for correlated sampling and a
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second-order Taylor series approach. Ann Nucl Energy. 1984;9;455–476.
[8] Lux I, Koblinger L. Monte Carlo Particle Transport Methods: Neutron and Photon
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Calculations, CRC Press, Boca Raton, Florida, 1991.
[9] McKinney GW, Iverson JL. Verification of the Monte Carlo differential operator
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technique for MCNP, Los Alamos National Laboratory, LA-13098, 1996.
[10] Kitada T, Yamane A, Takeda T. Improvements of correlated sampling method in Monte
Carlo perturbation theory, Proc Int Conf on the Physics of Reactors PHYSOR96, Mito,
Ibaraki, Japan, Sep. 16-20, 1996, A-212–A-219, 1996.
[11] Favorite JA. An alternative implementation of the differential operator (Taylor series)
perturbation method for Monte Carlo criticality problems. Nucl Sci Eng. 2002;142;327–
341.
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[12] Nagaya Y, Mori T. Impact of perturbed fission source on the effective multiplication
factor in Monte Carlo perturbation calculations. J Nucl Sci Technol. 2005;42;428–441.
[13] Kiedrowski BC, Brown FB, Wilson PPH. Adjoint-weighted tallies for k-eigenvalue
calculations with continuous-energy Monte Carlo. Nucl Sci Eng. 2011;168;226–241.
[14] Terranova N, Mancusi D, Zoia A. New perturbation and sensitivity capabilities in
TRIPOLI-4®. Ann Nucl Energy. 2018;121;335-349.
[15] Kim SH, Yamanaka M, Pyeon CH. Improvement of fission source distribution by
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correlated sampling method in Monte Carlo perturbation calculations. J Nucl Sci Technol.
2018;55;945–954.
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[16] Nauchi Y, Kameyama T. Development of calculation technique for iterated fission
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probability and reactor kinetic parameters using continuous-energy Monte Carlo method.
J Nucl Sci Technol. 2010;47;977–990.
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[17] Shim HJ, Kim CH. Adjoint sensitivity and uncertainty analyses in Monte Carlo forward
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calculations. J Nucl Sci Technol. 2011;48;1453–1461.
[18] Choi SH, Shim HJ. Memory-efficient calculations of adjoint-weighted tallies by the
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Monte Carlo Wielandt method. Ann Nucl Energy. 2016;96;287–294.
[19] Qiu Y, Shang X, Tang X, et al. Computing eigenvalue sensitivity coefficients to nuclear
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data by adjoint superhistory method and adjoint Wielandt method implemented in RMC
code. Ann Nucl Energy. 2016;87;228–241.
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[20] Sakamoto H, Yamamoto T. Improvement and performance evaluation of the
perturbation source method for an exact Monte Carlo perturbation calculation in fixed
source problems. J Compt Phys. 2017;345;245–259.
[21] Yamamoto T, Sakamoto H. Monte Carlo perturbation calculation for geometry change
in fixed source problems with the perturbation source method. Prog Nucl Energy
2021;132;103611.
[22] Nagaya Y, Mori T. Estimation of sample reactivity worth with differential operator
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[23] Favorite JA, Parsons DK. Second-order cross terms in Monte Carlo differential operator
perturbation estimates,” Proc M&C 2001, Salt Lake City, Utah, September 2001.
[24] Bell GI, Glasstone S. Nuclear Reactor Theory, Van Norstrand Reinhold, New York,
1970.
[25] Truchet G. Continuous-energy adjoint flux and perturbation calculation using the
iterated fission probability method in Monte Carlo code TRIPOLI-4 and underlying
applications.” Proc Joint Int Conf on Supercomputing in Nuclear Applications and Monte
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Carlo 2013 (SNA + MC 2013), Paris, France, October 2013.
[26] Truchet G, Leconte P, Palau JM, et al. Sodium void reactivity effect analysis using the
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newly developed exact perturbation theory in Monte-Carlo code TRIPOLI-4®. Proc
September 2014.
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PHYSOR 2014 - The Role of Reactor Physics toward a Sustainable Future, Kyoto, Japan,
[27] Alcouffe RE, Baker RS, Brinkley FW, et al. DANTSYS: A diffusion accelerated neutral
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particle transport code system. LA-12969-M. 1995.
[28] Okumura K, Kugo T, Kaneno K, et al. SRAC2006: A comprehensive neutronics
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calculation code system. JAEA-Data/Code 2007-004. 2007.
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Table captions
Table 1. Three group constants of materials (1) and (2) in Figure 2 (Cases 1 and 2).
Table 2. Three group constants of material (3) in Figure 2 (Case1).
Table 3. k-eigenvalue changes for verification (Case 1).
Table 4. Relative figure-of-merit with respect to direct method. Number in parentheses
denotes factor C in Eq. (32).
Table 5. Three group constants of material (3) in Figure 2 (Case2).
Fo
Table 6. k-eigenvalue changes for verification (Case 2).
Table 7. Three group constants of UO2 rod array (the materials (1) and (2) in Figure 2
rP
(Case3)).
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Table 8. Three group constants of light water (the material (3) in Figure 2 (Case3)).
Table 9. k-eigenvalue changes for replacement of UO2 with light water (Case 3).
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Table 10. k-eigenvalue changes for light water density change (Case 4).
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Table 11. Three group constants of graphite.
Table 12. k-eigenvalue changes for interface displacement by 1 cm (Case 5).
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Table 13. Relative figure-of-merit with respect to direct method. Number in parentheses
denotes factor C in Eq. (32).
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Table 14. k-eigenvalue changes for interface displacement by 0.02 cm (Case 6).
Table 15. k-eigenvalue changes for boundary extension by 3 cm (Case 7).
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Table 16. k-eigenvalue changes for boundary extension by 0.02 cm (Case 8).
Table 17. Dependence of k-eigenvalue change on spatial bin sizes in Case 2.
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Figure captions
Figure 1(a). Flow chart of unperturbed calculation mode.
Figure 1(b). Flow chart of perturbation calculation mode.
Figure 2. Geometry for perturbation calculations in Cases 1 to 4.
Figure 3. ∆k with and without source perturbation effect as a function of generation.
Figure 4. Interface shift in Case 5 (x = 1 cm) and Case 6 (x = 0.02 cm).
Figure 5. External boundary extension in Case 7 (x = 3 cm) and Case 8 (x = 0.02 cm).
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Fo
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Unperturbed calculation mode
Start particle
Fission source bank
Fission spectrum
perturbation
FSPB
Determine collision point
Fission source
perturbation
yes
rP
Fo
Total cross section
perturbation
Perturbed region?
Scattering cross
section perturbation
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FSPB
Kill or escape?
Perturbation
calculation mode
FSPB: Fission Source Perturbation Bank
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yes
ev
no
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Implicit capture, Russian roulette
Figure 1(a). Flow chart of unperturbed calculation mode.
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Perturbation calculation mode
Start particle
Determine collision point
Fo
FSPB
no
rP
Implicit capture, Russian roulette
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Kill or escape?
yes
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Unperturbed calculation mode
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iew
Figure 1(b). Flow chart of perturbation calculation mode.
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(1)
(1)
(2)
(3)
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Figure 2. Geometry for perturbation calculations in Cases 1 to 4.
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0.12
0.10
Δk without source perturbation
Δk [-]
0.08
Δk source perturbation effect
0.06
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0.04
0.00
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0.02
10
20
30
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Generations
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Figure 3. ∆k with and without source perturbation effect as a function of generation.
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10 cm
35 cm
Graphite
35 cm
UO2 rod
array
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Interface before perturbation
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Figure 4. Interface shift in Case 5 (x = 1 cm) and Case 6 (x =0.02 cm).
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10 cm
35 cm
Graphite
35 cm
UO2 rod
array
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Fo
Boundary before perturbation
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Figure 5. External boundary extension in Case 7 (x = 3 cm) and Case 8 (x = 0.02 cm).
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Table 1. Three group constants of materials (1) and (2) in Figure 2 (Cases 1 and 2).
1st group
2nd group
3rd group
𝛴𝑐(𝑐𝑚 )
𝛴𝑓(𝑐𝑚 ―1)
1.0
0.01
0.01
1.5
0.02
0.04
3.0
0.03
0.06
2.4
2.4
2.4
𝛴𝑠𝑔→𝑔(𝑐𝑚 ―1)
0.8
0.2
0.0
0.882
1.296
2.91
𝛴𝑠𝑔→𝑔 + 1(𝑐𝑚 ―1)
0.098
0.144
0.0
𝛴𝑡 (𝑐𝑚
―1
―1
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Table 2. Three group constants of material (3) in Figure 2 (Case1).
1st group
2nd group
3rd group
1.1
0.005
0.02
2.4
1.6
0.01
0.08
2.4
3.2
0.015
0.12
2.4
0.6
0.4
0.0
𝛴𝑠𝑔→𝑔(𝑐𝑚 ―1)
0.86
1.208
3.065
𝛴𝑠𝑔→𝑔 + 1(𝑐𝑚 ―1)
0.215
0.302
0.0
𝛴𝑡 (𝑐𝑚
―1
―1
𝛴𝑐(𝑐𝑚 )
𝛴𝑓(𝑐𝑚 ―1)
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Table 3. k-eigenvalue changes for verification (Case 1).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=1)
CS
4.4574×10−2 ± 5.9×10−5
1.1139×10−1 ± 1.2×10−4
1.5596×10−1 ± 1.4×10−4
4.4517×10−2 ± 2.4×10−5
9.9430×10−2 ± 9.4×10−4
1.4395×10−1 ± 9.4×10−4
1.5585×10−1 ± 4×10−5
Direct method
1.5586×10−1
Deterministic method
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Table 4. Relative figure-of-merit with respect to direct method. Number in parentheses denotes
factor C in Eq. (32).
Direct method
PSM
CS
Case 1
Case 2
Case 3
Case 4
0.143 (C=1)
62.8 (C=1)
142 (C=1)
1092 (C=1)
0.072 (C=2)
66.4 (C=2)
184 (C=5)
4377 (C=20)
142 (C=10)
3701 (C=30)
0.004
92.0
0.238
117
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Table 5. Three group constants of material (3) in Figure 2 (Case2).
1st group
2nd group
3rd group
1.05
0.009
0.011
2.4
1.52
0.018
0.045
2.4
3.05
0.029
0.065
2.4
0.78
0.22
0.0
𝛴𝑠𝑔→𝑔(𝑐𝑚 ―1)
0.9167
1.29673
2.956
𝛴𝑠𝑔→𝑔 + 1(𝑐𝑚 ―1)
0.1133
0.16027
0.0
𝛴𝑡 (𝑐𝑚
―1
―1
𝛴𝑐(𝑐𝑚 )
𝛴𝑓(𝑐𝑚 ―1)
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Table 6. k-eigenvalue changes for verification (Case 2).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=1)
CS
5.2507×10−3 ± 8.8×10−6
5.1664×10−3 ± 4.1×10−6
1.0417×10−2 ± 9.6×10−6
5.2342×10−3 ± 3.2×10−6
5.1028×10−3 ± 6.0×10−6
1.0337×10−2 ± 6.8×10−6
1.0366×10−2 ± 6.1×10−5
Direct method
1.0389×10−2
Deterministic method
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Table 7. Three group constants of UO2 rod array (the materials (1) and (2) in Figure 2 (Case3)).
1st group
2nd group
3rd group
0.29829
3.2674×10−3
3.0586×10−3
2.4
0.83334
9.7371×10−3
2.1579×10−3
2.4
1.6389
0.029252
0.056928
2.4
0.87820
0.12180
0.0
𝛴𝑠𝑔→𝑔(𝑐𝑚 ―1)
0.22106
0.77764
1.5527
𝛴𝑠𝑔→𝑔 + 1(𝑐𝑚 ―1)
0.073843
0.043803
0.0
𝛴𝑡 (𝑐𝑚
―1
―1
𝛴𝑐(𝑐𝑚 )
𝛴𝑓(𝑐𝑚 ―1)
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Table 8. Three group constants of light water (the material (3) in Figure 2 (Case3)).
𝛴𝑡 (𝑐𝑚 ―1)
―1
𝛴𝑐(𝑐𝑚 )
𝛴𝑠𝑔→𝑔(𝑐𝑚 ―1)
𝛴𝑠𝑔→𝑔 + 1(𝑐𝑚
―1
1st group
2nd group
3rd group
0.33207
3.0500×10−4
1.1265
3.6990×10−4
2.7812
0.018250
0.22713
1.0281
2.7630
0.10464
0.097961
0.0
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Table 9. k-eigenvalue changes for replacement of UO2 with light water (Case 3).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=5)
CS
9.1827×10−5 ± 2.52×10−6
2.2405×10−4 ± 3.80×10−6
3.1587×10−4 ± 4.56×10−6
1.4112×10−4 ± 4.64×10−5
3.1462×10−4 ± 1.66×10−4
4.5574×10−4 ± 1.72×10−4
3.3500×10−4 ± 1.96×10−5
Direct method
3.1018×10−4
Deterministic method
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Table 10. k-eigenvalue changes for light water density change (Case 4).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=20)
CS
−7.7306×10−7 ± 5.53×10−7
−1.0834×10−4 ± 2.20×10−7
−1.0911×10−4 ± 5.95×10−7
−1.2908×10−6 ± 1.50×10−6
−1.0825×10−4 ± 3.81×10−6
−1.0955×10−4 ± 4.10×10−6
−1.3600×10−4 ± 2.19×10−5
Direct method
−1.0915×10−4
Deterministic method
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Table 11. Three group constants of graphite.
𝛴𝑡 (𝑐𝑚 ―1)
―1
𝛴𝑐(𝑐𝑚 )
𝛴𝑠𝑔→𝑔(𝑐𝑚 ―1)
𝛴𝑠𝑔→𝑔 + 1(𝑐𝑚 ―1)
1st group
2nd group
3rd group
0.23264
4.1681×10−5
0.22122
0.011379
0.41793
7.6738×10−6
0.41327
4.6514×10−3
0.42354
2.1311×10−4
2.5313
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Table 12. k-eigenvalue changes for interface displacement by 1 cm (Case 5).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=3)
CS
1.1793×10−2 ± 1.2×10−5
−7.7237×10−3 ± 9.6×10−6
4.0692×10−3 ± 1.5×10−5
4.0220×10−3 ± 2.16×10−5
Direct method
4.0182×10−3
Deterministic method
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Table 13. Relative figure-of-merit with respect to direct method. Number in parentheses denotes
factor C in Eq. (32).
Direct method
PSM
CS
Case 5
Case 6
Case 7
Case 8
5.17 (C=1)
341 (C=1)
54.1 (C=1)
2.33×105 (C=1)
13.4 (C=3)
2114 (C=40)
301 (C=20)
7.20×106 (C=3500)
12.1 (C=5)
1479 (C=60)
241 (C=40)
6.00×106 (C=5000)
135
1.92×104
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Table 14. k-eigenvalue changes for interface displacement by 0.02 cm (Case 6).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=40)
CS
2.3001×10−4 ± 2.4×10−7
−1.4561×10−4 ± 8.3×10−7
8.4398×10−5 ± 8.69×10−7
4.40×10−5 ± 1.55×10−5
Direct method
8.3940×10−5
Deterministic method
iew
ev
rR
ee
rP
Fo
ly
On
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Table 15. k-eigenvalue changes for boundary extension by 3 cm (Case 7).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=20)
CS
4.0950×10−3 ± 3.7×10−6
−1.2387×10−3 ± 3.5×10−6
2.8563×10−3 ± 5.1×10−6
4.0875×10−3 ± 4.6×10−6
−1.2572×10−3 ± 6.8×10−6
2.8302×10−3 ± 8.2×10−6
2.8810×10−3 ± 1.92×10−5
Direct method
2.8564×10−3
Deterministic method
iew
ev
rR
ee
rP
Fo
ly
On
URL: http://mc.manuscriptcentral.com/tnst E-mail: hensyu@aesj.or.jp
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Journal
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Nuclear Science and Technology
Table 16. k-eigenvalue changes for boundary extension by 0.02 cm (Case 8).
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
PSM (C=3500)
CS
3.3091×10−5 ± 2.3×10−8
−9.8679×10−6 ± 2.16×10−8
2.3223×10−5 ± 3.2×10−8
3.3132×10−5 ± 3.34×10−7
−1.0123×10−5 ± 5.08×10−7
2.3009×10−5 ± 6.08×10−7
Direct method
2.3790×10−5
Deterministic method
iew
ev
rR
ee
rP
Fo
ly
On
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Nuclear Science and Technology
Page 48 of 48
Table 17. Dependence of k-eigenvalue change on spatial bin sizes in Case 2.
Spatial
bins
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
Total
*This
(300+100+300)×
(300+100+300)*
(15+5+15)×(15+5+5)
(7+3+7)×(7+3+7)
5.2403×10−3 ± 8.6×10−6
5.1561×10−3 ± 6.8×10−6
1.0396×10−2 ± 1.1×10−5
5.2396×10−3 ±8.5×10−6
5.1982×10−3 ±6.8×10−6
1.0438×10−2 ±1.1×10−5
5.1796×10−3 ±8.2×10−6
5.1985×10−3 ±2.4×10−6
1.0378×10−2 ±8.5×10−6
is the same as in Table 6.
Table 17 (continued).
Δ𝑘𝑃𝑆
𝑒𝑓𝑓
4.9725×10−3 ±8.3×10−6
5.1395×10−3 ±2.5×10−6
1.0112×10−2 ±8.7×10−6
(3+2+3)×(3+2+3)
4.5344×10−3 ±8.2×10−6
4.7738×10−3 ±2.4×10−6
9.3082×10−3 ±8.5×10−6
iew
ev
rR
ee
Total
(4+2+4)×(4+2+4)
rP
Δ𝑘𝑁𝑃
𝑒𝑓𝑓
Fo
Spatial
bins
ly
On
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