Open access peer-reviewed chapter

Sensitivity and Uncertainty Quantification of Neutronic Integral Data Using ENDF/B-VII.1 and JENDL-4.0 Evaluations

Written By

Mustapha Makhloul, H. Boukhal, T. El Bardouni, E. Chakir, M. Kaddour and S. Elouahdani

Submitted: 10 March 2020 Reviewed: 09 May 2020 Published: 08 August 2020

DOI: 10.5772/intechopen.92779

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Abstract

Many integral neutronic parameters such as the effective multiplication factors (keff) are based on neutron reactions with matter through cross sections. However, these cross sections present uncertainties, of origin multiple, which reduce the safety margin of nuclear installations. In order to minimize these risks, a sensitivity analysis is necessary to indicate the rate of change of a reactor performance parameter compared to variations in cross sections. Thus, several critical benchmarks were taken from the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE), and their sensitivities and covariance matrix of the desired cross section were processed by MCNP6 and NJOY codes, respectively, in ENDF/B-VII.1 and JENDL-4.0 evaluations. The results obtained show that the 44 energy groups give the most varied sensitivity profiles than those given by others (15 and 33). In addition, we observed large uncertainties on the keff due to the H-1 and O-16 cross-sectional uncertainties (∼200–1000 pcm) in ENDF/B -VII.1 and the U-235 cross section in JENDL-4.0; however, keff’s uncertainties due to the cross-sectional uncertainties of the U-238 are very small.

Keywords

  • keff
  • sensitivity
  • covariance matrix
  • uncertainty
  • MCNP6.1
  • NJOY
  • multigroup cross section

1. Introduction

Prediction of integral nuclear parameters requires a reliable nuclear database such as microscopic nuclear parameters, cross sections, covariance matrices, etc. Many previous works [1, 2] have proved that the capture cross section of the uranium 235 has an important effect on the criticality calculations [3, 4]. For example, the relative uncertainty of keff in BFS core due to the 235U capture cross-sectional uncertainty is near 202 pcm [5].

In present study, the uncertainty prediction in the multiplication factors is based on the ENDF/B-VII.1 and JENDL-4.0 evaluations where MCNP6 [6] Monte Carlo code is used for the sensitivity and keff calculations and the NJOY99 [7] is applied to calculate the covariances in three energy group structures (15, 33 and 44) for the most abundant isotopes in the studied benchmarks (235U, 238U, 1H, and 16O). All benchmarks were taken from IHECSBE [8].

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2. Study approach

2.1 Multigroup structure

In this article, the effect of the multigroup energy of neutrons on the sensitivity of multiplication factors was studied for three cases (15, 33, and 44 groups). The covariances for many cross sections are often presented in the evaluated data libraries (ENDF/B-VII.1 and JENDL-4.0). All files were processed by the NJOY99 code to calculate the multigroup of interest cross sections in the ENDF-6 format. The modules RECONR and BROADR were used before to reconstruct the cross sections (MF = 3) at room temperature 300°K. The GROUPR module was used to generate the desired data in the grouped-wise format gendf for the three presentations (15, 33, and 44 groups) to retain the characteristic structure in the cross sections between 10−5 eV and 20 MeV. The energetic structures were generated from the fine-group library for resonance nuclides, with different weight flux functions: fission Maxwellian (10 MeV–70 keV), 1/E (70 keV–0.125 eV), and thermal Maxwellian (0.125–10−5 eV). Tables 13 below present the three energy group structures.

Group numberEnergy range (eV)Group numberEnergy range (eV)
11.0000E-0592.4800E+04
21.1000E-01106.7400E+04
35.4000E-01111.8300E+05
44.0000E+00124.9800E+05
52.2600E+01131.3500E+06
64.5400E+02142.2300E+06
72.0400E+03156.0700E+06
89.1200E+03161.9600E+07

Table 1.

15 Neutron energy group structure [9].

Group numberUpper energy (eV)Group numberUpper energy (eV)Group numberUpper energy (eV)
11.0000E-01124.5400E+02231.1100E+05
25.4000E-01137.4900E+02241.8300E+05
34.0000E+00141.2300E+03253.0200E+05
48.3200E+00152.0300E+03264.9800E+05
51.3700E+01163.3500E+03278.2100E+05
62.2600E+01175.5300E+03281.3500E+06
74.0200E+01189.1200E+03292.2300E+06
86.7900E+01191.5000E+04303.6800E+06
99.1700E+01202.4800E+04316.0700E+06
101.4900E+02214.0900E+04321.0000E+07

Table 2.

33 Neutron energy group structure [10].

Group numberUpper energy (eV)Group numberUpper energy (eV)Group numberUpper energy (eV)
11.0000E-05163.2500E-01313.0000E+03
23.0000E-03173.5000E-01321.7000E+04
37.5000E-03183.7500E-01332.5000E+04
41.0000E-02194.0000E-01341.0000E+05
52.5300E-02206.2500E-01354.0000E+05
63.0000E-02211.0000E+00369.0000E+05
74.0000E-02221.7700E+00371.4000E+06
85.0000E-02233.0000E+00381.8500E+06
97.0000E-02244.7500E+00392.3540E+06
101.0000E-01256.0000E+00402.4790E+06
111.5000E-01268.1000E+00413.0000E+06
122.0000E-01271.0000E+01424.8000E+06
132.2500E-01283.0000E+01436.4340E+06
142.5000E-01291.0000E+02448.1873E+06
152.7500E-01305.5000E+02452.0000E+07

Table 3.

44 Neutron energy group structure [10].

Figures below illustrate the comparison of the pointwise and multigroup representations for the 235.238U cross sections (Figures 1 and 2).

Figure 1.

The pointwise and multigroup (15, 33, and 44) capture cross section for the 235U.

Figure 2.

The pointwise and multigroup (15, 33, and 44) elastic cross section for the 238U.

Figures above present that the pointwise and multigroup cross sections are very close in the two evaluations ENDF/B-VII.1 and JENDL-4.0.

2.2 Covariance data of cross sections

It is necessary to process the multigroup covariance matrices for each energy group structure (15, 33, and 44). Thus, an appropriate input file for nuclear code NJOY was prepared using several modules as ERROR, GROUPER, and COVR [11, 12, 13] to process the ENDF file (MF = 33) and generate the multigroup covariance matrices for the desired cross sections. The following figures show a comparison of these covariance matrices in the two evaluations studied using the structures of 15, 33, and 44 energy groups.

Figure 3 shows the uncertainty and covariance for the 235U elastic cross section in the energy region from 10−5 eV to 20 MeV. In this figure, we can see that the lowest uncertainty is given by the 44-group structure where around the energy 10 keV, the uncertainty is ∼4% in the ENDF/B-VII.1 and ∼ 9.5% in JENDL-4.0. In addition, negative correlations are observed in JENDL-4.0.

Figure 3.

Uncertainty and covariance for the 235 U elastic cross section using 15, 33, and 44 structure energy groups in ENDF/B-VII.1 and JENDL-4.0 evaluations.

According to Figure 4, the maximum uncertainties in the fission cross sections of the 235U in the energy less than 10 eV are, respectively, ∼7.5% and ∼1% in JENDL-4.0 and ENDF/B-VII.1 for 15 and 33 groups; however, in the 44-group structure, one can see that this maximum is ∼15% around the energy 3 eV. In the energy interval [10 eV; 20 MeV], these uncertainties are very close to 1% for the two evaluations in 33- and 44-group structures, while for the 15-group structure, the uncertainties in JENDL-4.0 are higher than those in ENDF/B-VII.1. Also, negative correlations appeared in JENDL-4.0.

Figure 4.

Uncertainty and covariance for the 235U fission cross section using 15, 33, and 44 energy group structures in ENDF/B-VII.1 and JENDL-4.0 evaluations.

2.3 Sensitivity-uncertainty theory

Sensitivity coefficients represent the percentage effect on some nuclear system response (e.g., multiplication factor keff) due to a percentage change in an input parameter such as cross section (capture, fission, elastic, inelastic, etc.). The sensitivity of keff (noted simply k) to a multigroup cross section σx.g, for an energy group g, is defined according to [14] by Eq. (1), where the first order of the perturbation theory is used [15, 16, 17]:

Sx.g=σx.gkkσx.gE1

These coefficients are supposed to be constant in the first order of perturbation theory, so the sensitivity matrix S (Eq. (2)) is also constant [18, 19, 20]:

Sk=σikjkjσji=1.2..nandj=1.2..mE2

where m is the number of critical systems considered and n is the number of energy groups (n = 15, 33, and 44).

The sensitivity matrix coefficients have been calculated using MCNP6.1 code using KSEN card.

The integral quantities calculated with a reference cross section set σ are denoted by k. The integral quantities k’ calculated with a cross section set σ, which deviates by δσ from σ, have the following relation with k:

k=k1+S.δσE3

The covariance of k’/k is given by

Vk=SσSσSσSσt
Vk=STT0TT0tSt
Vk=SMStE4

where t stands for the transpose of the matrix S.

The square root of the diagonal term Vii of Vk is the standard deviation in the integral quantity ki. Thus, the prior nuclear data uncertainty of k can be obtained in matrix expression form by the so-called sandwich rule [20, 21]:

Δk2=SMStE5

The non-diagonal term Vijij gives the degree of correlation between the errors of ki and kj. The element rij of the correlation matrix is obtained by dividing the element Vij by the products of standard deviation Vii and Vjj:

rij=VijViiVjjE6

A common practice in uncertainty calculations is the relative sensitivity coefficients provided from the sensitivity analysis. Therefore, the relative matrices are used as

Δk/k2=GPGtE7

where G is the relative sensitivity matrix and P is the relative covariance matrix of the interest cross section.

Eq. (7) mathematically links the uncertainty of the integral data and the uncertainties of the cross sections through the associated sensitivity coefficients. Thus, a high sensitivity and an uncertain cross section generate a large uncertainty in k.

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3. Results and discussion

3.1 Description of benchmark systems

In this work, 25 HEU-SOL-THERM thermal experiments, 4 HEU-MET-INTER intermediate experiments, and 21 HEU-MET-FAST fast experiments are studied. The calculated, experimental keff and their uncertainties for each benchmark are summarized in Table 4. All calculations were performed using 100,000 neutrons per cycle, 150 inactive cycles, and 4000 active cycles to minimize statistical uncertainty (∼5 pcm).

Benchmarksk.expstd.expk.cal (ENDF/B-VII.1)std.calk.cal (JENDL-4.0)std.cal
Hst001.0011.00040.00600.998150.000050.999520.00005
Hst001.0021.00210.00720.997220.000060.999270.00006
Hst001.0031.00030.00351.001550.000051.002960.00005
Hst001.0041.00080.00530.998150.000051.000480.00005
Hst001.0051.00010.00490.998740.000050.999490.00005
Hst001.0061.00020.00461.001960.000051.002830.00005
Hst001.0071.00080.00400.997810.000050.999100.00005
Hst001.0080.99980.00380.997970.000050.999300.00005
Hst001.0091.00080.00540.994120.000060.996330.00006
Hst001.0100.99930.00540.992410.000050.993380.00005
Hst009.0010.99900.00430.996950.000051.000960.00005
Hst009.0021.00000.00390.996860.000051.000340.00005
Hst009.0031.00000.00360.995560.000050.998300.00005
Hst009.0040.99860.00350.988940.000050.991120.00005
Hst009.0101.00000.00570.997450.000051.001530.00005
Hst010.0011.00000.00290.994530.000050.996330.00005
Hst010.0021.00000.00180.994960.000050.996780.00005
Hst010.0031.00000.00290.992470.000050.992370.00005
Hst010.0040.99920.00290.990520.000050.999940.00004
Hst011.0011.00000.00230.998590.000040.997730.00003
Hst011.0021.00000.00230.998660.000040.996020.00004
Hst012.0010.99990.00580.997230.000030.997450.00004
Hst013.0011.00120.00260.998680.000031.005690.00005
Hst028.0011.00000.00230.996420.000050.995800.00004
Hst035.0071.00000.00351.004670.000050.999380.00004
Hmi006.0010.99770.00080.992970.000041.001510.00004
Hmi006.0021.00010.00080.996820.000041.003150.00004
Hmi006.0031.00150.00091.000820.000040.997510.00003
Hmi006.0041.00160.00081.007320.000040.990250.00003
Hmf001.0011.00040.00240.999760.000030.989290.00003
Hmf003.0011.00000.00500.995010.000030.993860.00003
Hmf003.0021.00000.00500.994360.000030.992080.00003
Hmf003.0031.00000.00500.999180.000030.996380.00003
Hmf003.0041.00000.00500.997210.000031.001870.00003
Hmf003.0051.00000.00301.001460.000031.001900.00003
Hmf003.0081.00000.00301.002140.000031.005150.00003
Hmf003.0091.00000.00501.002440.000031.009600.00003
hmf003.0101.00000.00501.005050.000030.993150.00003
Hmf003.0111.00000.00301.008860.000030.996560.00004
Hmf008.0010.99890.00160.995770.000030.995180.00003
Hmf011.0010.99890.00150.998870.000040.992650.00003
Hmf012.0010.99920.00180.998100.000030.992360.00003
Hmf014.0010.99890.00170.997740.000030.996840.00003
Hmf015.0010.99960.00170.994470.000030.997740.00003
Hmf018.0021.00000.00140.999460.000030.993370.00003
Hmf020.0021.00000.00281.000570.000030.994160.00003
Hmf021.0021.00000.00240.997500.000031.001320.00004
Hmf022.0021.00000.00210.997460.00030.997820.00003
Hmf026.0110.99820.00421.003120.000041.006470.00005
Hmf028.0011.00000.00301.002860.000031.007450.00005

Table 4.

Keff benchmark cases and their statistical uncertainties (1σ).

3.2 Total sensitivity evaluation

The total sensitivity calculations were performed in order to identify the most important cross sections for neutron-induced reactions in critical experiments summarized in Table 4. The total integrated sensitivities obtained using the ENDF/B-VII.1 and JENDL-4.0 evaluations are presented in Tables 5 and 6. We can see from these tables that the total integrated sensitivity obtained with the two nuclear evaluations is almost the same; in addition, the sensitivities of U-234, U-236, and N-14 are very low compared to the others. Thus, for the quantification of sensitivity and uncertainty, only U-235, U-238, H-1, and O-16 are taken into account.

Hst001.001Hst001.006Hst035.007
IsotopeENDF/B-VII.1JENDL-4.0ENDF/B-VII.1JENDL-4.0ENDF/B-VII.1JENDL-4.0
U-234-2.7926E-03-2.6083E-03-2.0123E-03-1.8550E-03-2.3645E-03-2.4621E-03
U-2351.0503E-011.1931E-012.2592E-012.2535E-011.3115E-011.3959E-01
U-236-2.9683E-04-4.2700E-04-5.0385E-05-1.6201E-04-2.3107E-04-2.4627E-04
U-238-2.7572E-03-3.3237E-03-1.1858E-03-1.3662E-03-6.4877E-03-5.4229E-03
H-15.5723E-015.4111E-013.4059E-013.4260E-013.9636E-014.0646E-01
O-161.3385E-011.3190E-011.1264E-011.1672E-019.0869E-029.3703E-02
N-14-2.8936E-03-6.3375E-04-2.9080E-03-5.5300E-03-3.6365E-03-5.4211E-03

Table 5.

Total integrated sensitivity for thermal benchmark (%%).

Hmf001.001Hmf003.001
IsotopeENDF/B-VII.1JENDL-4.0ENDF/B-VII.1JENDL-4.0
U-2345.1587E-037.4997E-031.4957E-031.9720E-03
U-2358.0536E-018.0423E-011.4577E-011.5009E-01
U-2381.7438E-021.7762E-024.2719E-024.1731E-02

Table 6.

Total integrated sensitivity for fast benchmark (%%).

3.3 Sensitivities of keff with respect to multigroup cross section

In this study, the sensitivity coefficients obtained with the two libraries ENDF/B-VII.1 and JENDL-4.0 are evaluated using MCNP6.1 code in three multigroup structures (15, 33, and 44). Given the large number of cross sections for each energy group, the sensitivities of certain cross sections are only presented.

3.3.1 Sensitivity for the 235U cross section

The results obtained are presented in the figures below for the 235U cross sections (Figures 510).

Figure 5.

Sensitivity profiles of 235U capture cross section for thermal benchmarks with 15 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 6.

Sensitivity profiles of 235U capture cross section for thermal benchmarks with 33 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 7.

Sensitivity profiles of 235U capture cross section for thermal benchmarks with 44 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 8.

Sensitivity profiles of 235U fission cross section for thermal benchmarks with 15 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 9.

Sensitivity profiles of 235U fission cross section for thermal benchmarks with 33 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 10.

Sensitivity profiles of 235U fission cross section for thermal benchmarks with 44 energy groups—ENDF/B-VII.1 and JENDL-4.0.

From these figures, it can be seen that the 44-group structure of energy gives very varied sensitivity profiles depending on the neutron energy; moreover, this group structure gives sensitivities slightly lower than those given by the structures of 15 and 33 groups. Consequently, it can be said that the precision of the sensitivity increases for the structure containing the largest number of energy groups. Thus, low uncertainties on nuclear data are expected with this structure (44 groups) in the two evaluations (ENDF/B-VII.1 and JENDL-4.0).

3.3.2 Sensitivity for the 238U cross section

The sensitivities of the multiplication factors for the 238U cross sections are shown in the figures below (Figures 1116).

Figure 11.

Sensitivity profiles of the 238U capture cross section with 15 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 12.

Sensitivity profiles of the 238U capture cross section with 33 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 13.

Sensitivity profiles of the 238U capture cross section with 44 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 14.

Sensitivity profiles of the 238U elastic cross section with 15 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 15.

Sensitivity profiles of the 238U elastic cross section with 33 energy groups—ENDF and JENDL-4.0.

Figure 16.

Sensitivity profiles of the 238U elastic cross section with 44 energy groups—ENDF and JENDL-4.0.

These figures show that thermal and intermediate critical experiment designs demonstrate low sensitivity to the capture and elastic cross sections of the 238U at high energies and a significant sensitivity at thermal and resonance energies. However, the fast critical experiments demonstrate, at high energies, high levels of sensitivity to the capture and elastic cross sections of the 238U. Also, the structure of the 44 energy groups gives very varied sensitivity profiles compared to those given by structures 15 and 33.

3.3.3 Sensitivity for 1H and 16O cross sections

The sensitivities of the keff’s with respect to the cross sections of 1H and 16O are presented in the figures below (Figures 1722).

Figure 17.

Sensitivity profiles of the 1H elastic cross section with 15 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 18.

Sensitivity profiles of the 1H elastic cross section with 33 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 19.

Sensitivity profiles of the 1H elastic cross section with 44 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 20.

Sensitivity profiles of the 16O elastic cross section with 15 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 21.

Sensitivity profiles of the 16O elastic cross section with 33 energy groups—ENDF/B-VII.1 and JENDL-4.0.

Figure 22.

Sensitivity profiles of the 16O elastic cross section with 44 energy groups—ENDF/B-VII.1 and JENDL-4.0.

The figures above show that all thermal critical benchmarks demonstrate low sensitivity to the 1H and 16O elastic cross sections for low resonance energies and significant sensitivity for high energies. In addition, the structure of the 44 energy groups gives very varied sensitivity profiles compared to those given by the 15- and 33-group structures. Also, the sensitivities given by ENDF/B-VII.1 are slightly lower than those given by JENDL-4.0.

In the following, all the results concerning only the structure of the group of 44 neutrons and presented for both ENDF/B-VII.1 and JENDL-4.0.

3.4 Nuclear data uncertainty prediction of keff

The nuclear data uncertainties of keff are calculated using Eq. (7), and the predictions of k/k due to the uncertainty of the 235U cross sections are presented in the figures below (Figures 2326).

Figure 23.

Δk/k (pcm) prediction due to the uncertainties in 235U capture cross sections with 44 energy groups for thermal benchmarks—ENDF/B-VII.1 and JENDL-4.0.

Figure 24.

Δk/k (pcm) prediction due to the uncertainties in 235U capture cross sections with 44 energy groups for fast benchmarks—ENDF/B-VII.1 and JENDL-4.0.

Figure 25.

Δk/k (pcm) prediction due to the uncertainties in 235U elastic cross sections with 44 energy groups for thermal benchmarks—ENDF/B-VII.1 and JENDL-4.0.

Figure 26.

Δk/k (pcm) prediction due to the uncertainties in 235U elastic cross sections with 44 energy groups for fast benchmarks—ENDF/B-VII.1 and JENDL-4.0.

We can see from these figures that, in general, the relative uncertainties of keff using ENDF/B-VII.1 are less than those using JENDL-4.0. For example, these uncertainties due to the 235U capture cross section are ∼250 pcm, and in the elastic cross section case, they are ∼15 pcm for thermal benchmarks and 100–400 pcm for fast benchmarks. Concerning the predictions k/k due to the uncertainty of the 238U cross sections, they are all very small except for the elastic and inelastic cross sections.

The total uncertainties of the effective multiplication factors due to U-235, U-238, H-1, and O-16 are summarized in Table 7.

Thermal benchmarksΔkeff/keff-(%) ENDF/B-VII.1Δkeff/keff-(%) JENDL-4.0Fast benchmarksΔkeff/keff-(%) ENDF/B-VII.1Δkeff/keff-(%) JENDL-4.0
Hst001.0010.9621.564Hmi006.0010.6170.389
Hst001.0020.9311.214Hmi006.0020.8000.274
Hst001.0030.9631.566Hmi006.0030.6280.143
Hst001.0040.9341.200Hmi006.0040.8270.159
Hst001.0051.0212.219Hmf001.0010.4390.063
Hst001.0061.0112.160Hmf003.0010.4420.057
Hst001.0070.9651.609Hmf003.0020.4900.075
Hst001.0080.9631.587Hmf003.0030.4920.083
Hst001.0090.9401.227Hmf003.0040.5980.129
Hst001.0100.9952.104Hmf003.0050.4460.053
Hst009.0010.9181.051Hmf003.0080.7020.189
Hst009.0020.9291.122Hmf003.0090.6670.159
Hst009.0030.9471.281hmf003.0100.6030.141
Hst009.0040.9801.471Hmf003.0110.5430.096
Hst009.0100.9171.065Hmf008.0010.6480.221
Hst010.0011.0041.785Hmf011.0010.5050.999
Hst010.0021.0091.820Hmf012.0010.4580.086
Hst010.0031.0041.800Hmf014.0010.4620.070
Hst010.0041.0101.747Hmf015.0010.4630.084
Hst011.0011.0692.295Hmf018.0020.4370.057
Hst011.0021.0742.306Hmf020.0020.4470.244
Hst012.0011.2743.150Hmf021.0020.4230.035
Hst013.0011.2813.237Hmf022.0020.4210.035
Hst028.0011.0072.066Hmf026.0110.5051.326
Hst035.0070.8801.682Hmf028.0010.4890.075

Table 7.

Total uncertainty of keff (%).

Table 7 shows that for thermal benchmarks, the relative uncertainties of keff with the ENDF/B-VII.1 are lower than those with JENDL-4.0. However, for fast benchmarks, these uncertainties are greater with the JENDL-4.0 evaluation.

3.5 Correlation between benchmark errors

The degree of correlation between benchmarks errors is calculated using Eq. (6); the results obtained are presented in the figures below.

Figures 27 and 28 show that the correlations between the benchmarks using ENDFB-VII.1 are lower than those using JENDL-4.0. Thus, a close similarity between several experiences is noted.

Figure 27.

Correlation between thermal benchmarks due to the uncertainties in 235U capture cross sections. (a) ENDF/B-VII.1 (b) JENDL-4.0.

Figure 28.

Correlation between fast benchmarks due to the uncertainties in 1H and 16O capture and elastic cross sections. (a) ENDF/B-VII.1 (b) JENDL-4.0.

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4. Conclusions

The multigroup effect on the sensitivities of keff with respect to cross sections U-235, U-238, H-1, and O-16 is studied using 15, 33, and 44 energy groups. We found that the structure of the 44 groups gives the most varied sensitivity profiles in the two evaluations ENDF/B-VII.1 and JENDL-4.0, allowing a better investigation of the uncertainties of the nuclear data.

The results obtained show that the keff sensitivity profiles are approximately the same for the two nuclear evaluations ENDF/B-VII.1 and JENDL-4.0. However, the covariances of the cross sections are different between the two evaluations, which is why differences between the uncertainties of the nuclear data are observed between these evaluations. For example, the total uncertainties in the thermal benchmark Hst001.001 are, respectively, 0.962 and 1.564% with ENDF/B-VII.1 and JENDL-4.0, and for the fast benchmark Hmf.001.001, these uncertainties are 0.439 and 0.063% with ENDF/B -VII.1 and JENDL-4.0, respectively. These differences are mainly due to the high covariances in JENDL-4.0 compared to those in ENDF/B-VII.1, in particular for the elastic cross section of the U-235 and of the fission for the U-238.

These results demonstrated that the covariances of most neutron reactions with the nuclei studied in this work require more investigation and re-estimation.

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Acknowledgments

The work leading to this publication has been supported by the Radiations and Nuclear Systems Laboratory at Abdelmalek Essaadi University of Tetuan. Thank you to all the contributors of our laboratory team.

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Written By

Mustapha Makhloul, H. Boukhal, T. El Bardouni, E. Chakir, M. Kaddour and S. Elouahdani

Submitted: 10 March 2020 Reviewed: 09 May 2020 Published: 08 August 2020