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Benchmarking nuclear fission theory

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Published 14 May 2015 © 2015 IOP Publishing Ltd
, , Citation G F Bertsch et al 2015 J. Phys. G: Nucl. Part. Phys. 42 077001 DOI 10.1088/0954-3899/42/7/077001

0954-3899/42/7/077001

Abstract

We suggest a small set of fission observables to be used as test cases for validation of theoretical calculations. The purpose is to provide common data to facilitate the comparison of different fission theories and models. The proposed observables are chosen from fission barriers, spontaneous fission lifetimes, fission yield characteristics, and fission isomer excitation energies.

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1. Motivation

Nuclear fission is a very complex process and its theory presents an enormous challenge. As Bohr and Wheeler stated in their 1939 pioneering paper [1], theoretical progress in the theory of fission would in all likelihood take time to resolve: 'An accurate estimate for the stability of a heavy nucleus against fission in its ground state will, of course, involve a very complicated mathematical problem'. Indeed, even in the present era of extensive computer resources, a comprehensive microscopic explanation of nuclear fission rooted in interactions between protons and neutrons still eludes us. Consequently, it remains difficult for both experimentalists and theorists to assess various models of fission and their predictions. To address this situation, it would be very useful if different theoretical approaches could be easily compared. Most importantly, such reporting should promote a closer interaction between theorists and experimentalists to stimulate new experiments that can differentiate between models or unveil new phenomena.

To that end, we would like to suggest a list of experimental observables, or evaluated empirical quantities, that are well established, and could serve as benchmarks of the accuracy of a theoretical approach. Our recommendation for future model development work is to present along with predictions of a theory, the results when applied to this small set of data. The benchmark cases we have selected are basic fission observables in nuclei that are well known experimentally. The observables in the benchmark are: fission barriers, fission mass distributions, total kinetic energies of fission fragments, spontaneous fission lifetimes, and fission isomer excitation energies. This leaves out a rich variety of interesting phenomena that include kinetic energy distributions of fission yields, scission neutrons, barrier state spectroscopy, etc. Some of these quantities have large experimental uncertainties [2], e.g., scission neutrons, and are therefore not good quantities to be used as benchmarks. In addition, the theory for these quantities is not as well developed. The list presented in this short paper could be extended of course, and will certainly be revisited in the future.

It is also important that the results be reported in a way that makes comparisons easy. In particular, we would like to know how the theory performs on average for the data set, if the parameters of the theory have not been adjusted to the data. We would also like to know how well the theory describes the fluctuations of individual data.

We understand that a large community of experimentalists, theorists, and evaluators has been working for a long time on developing standards and benchmarks related to fission data. The purpose of the present contribution is not to reproduce, or even attempt to reproduce, this large body of work, but instead to select from it a subset of well-known fission data that can be readily used by fission theorists to guide and test their work.

When dealing with fission data, it is important to realize that what is considered 'experimental data' is often the result of a more or less complicated deconvolution process related to a physical observable. This caveat will be repeated and illustrated wherever it applies.

Finally, as the purpose of these notes is to stimulate benchmarking rather than provide critical evaluation of various models of fission, we choose not to provide specific examples of theoretical calculations. Here, we would like to draw the reader's attention to the talks presented at the INT Program 13-3, posted online [3], which contain a wealth of useful information about the current status of fission theory.

2. The benchmarks

2.1. Fission barrier heights

The concept of a fission barrier height is fraught with ambiguity [3]. A theoretical definition is the energy difference between the ground state and the highest saddle point in a shape-constrained potential energy surface (PES) that has the lowest energy for all possible paths leading to fission from the ground state. If the theory treats the angular momentum of the nucleus, the benchmark should be for the PES corresponding to the angular momentum of the ground state. We have chosen 15 examples for the benchmarks, including the well-known nuclei for reactor physics, and some examples with isotope chains ranging from Z = 90 to Z = 96 and an example beyond Pu to better exhibit the Z-dependence of the barriers. The empirical barriers are taken from RIPL-3 compilation [4].

Contrary to cross sections, fission barriers are not physical observables, and 'empirical' barriers are inferred from measured cross sections using particular models for the PES, the collective inertia tensor, and the level density on top of the barrier. The presence of a double-humped, or more complicated, structure along the predicted fission pathways further complicate matters as significant deviations from the traditional Hauser–Feshbach calculations of fission probabilities have to be considered.

The study in [5] concludes that fission barrier heights can be known to about ±0.3 MeV, with only little sensitivity to the particular prescription chosen for describing the level density on top of the barrier. We should consider this uncertainty as a lower limit, since several simplifying assumptions were made in deriving the barrier heights from experimental cross sections/penetrabilities. More complicated fission pathways in a multi-dimensional potential energy landscape, multi-modal fission, non-parabolic fission barriers, etc, can all increase this uncertainty. A more reasonable estimate would be 0.5−1.0 MeV in most cases.

In addition to providing benchmark values in table 1 against which theoretical calculations can be compared, trends in inner and outer fission barrier heights as a function of mass number and fissility parameter ${{Z}^{2}}/A$ should also serve as a guide. For lower-Z actinides, e.g., Th isotopes, inner barrier heights are lower than outer barrier heights. This trend is reversed for heavier actinides, e.g., Cm isotopes.

Table 1.  Fission barrier parameters for the even–even actinides. EA and EB are the empirical heights of the inner and outer fission barrier, respectively [4]. The uncertainty on the empirical barrier heights ranges from 0.3 MeV [5] to 1 MeV.

Z A Symbol EA (MeV) EB (MeV)
90 230 Th 6.1 6.8
90 232 Th 5.8 6.7
92 232 U 4.9 5.4
92 234 U 4.8 5.5
92 236 U 5 5.67
92 238 U 6.3 5.5
94 238 Pu 5.6 5.1
94 240 Pu 6.05 5.15
94 242 Pu 5.85 5.05
94 244 Pu 5.7 4.85
96 241 Cm 7.15 5.5
96 242 Cm 6.65 5
96 244 Cm 6.18 5.1
96 246 Cm 6 4.8
96 248 Cm 5.8 4.8

2.2. Fission isomer excitation energies

One of the most challenging aspects of fission theory is to correctly predict the energies and half-lives of the superdeformed intermediate states of the fissioning nucleus, the spontaneously fissioning shape isomers . The excitation energies are typically 2–3 MeV in the second minimum of the fission barrier. Spectroscopic studies of the transitions between the states in the second minimum have shown that the moments of inertia associated with the rotational bands are those expected for nuclei with an axes ratio of 2:1—a result confirmed by studies of the quadrupole moments [6]. All of these facts represent a significant constraint on, and a challenge for, fission theories.

Table 2.  Table of (even–even) Fission isomer excitation energies ${{E}_{{\rm II}}}$ [8, 9].

Nuclide ${{E}_{{\rm II}}}$ (keV) ${{T}_{1/2}}$
236U 2750 120 ns
238U 2557.9 280 ns
238Pu ∼2400 0.6 ns
240Pu ∼2800 3.7 ns
242Pu ∼2000 28 ns
  2000 3.5 ns
240Cm ∼3000 55 ns
242Cm ∼1900 40 ps
244Cm ∼2200 $\leqslant 5$ ps

An isomer excitation energy can be obtained by analyzing experimental data on the excitation energy dependence of the cross sections for formation of the isomer, and in particular near the threshold of the rising curves. Most of these experimental data come from neutron evaporation and particle transfer reactions. As for fission barrier heights, the inferred isomer energy is model-dependent, and has to be considered carefully.

As discussed in [7], the analysis of the experimental excitation curves is easier in the case of fissioning doubly-odd nuclei, where simplifying assumptions can be made on the level density representation used in the cross section calculations. Even in those cases, however, the uncertainty on the isomer energy is probably at least equal to the uncertainty (∼0.5–1.0 MeV) on fission barrier heights, as discussed above.

2.3. Spontaneous fission lifetimes

The examples chosen in table 3 are for illustrative purposes only. Many more spontaneous fission half-lives have been measured and analyzed, as reported in [10]. For the examples we have chosen the well-known 240Pu lifetime together with two cases among heavier actinide elements that exhibit extreme variations in lifetimes. Some of these lifetimes were evaluated by calculating a weighted average of available experimental data, while others were based on selecting on particular experimental value only, deemed of higher quality by the evaluators. We included this information in table 3. In most cases, the most trustful values would be the ones obtained as a weighted average, as at least two consistent experimental data were included.

Table 3.  Spontaneous fission half-lives [10].

Nuclide ${{T}_{{\rm SF}}}$ Evaluation method
240Pu 1.14 ± 0.010 x 1011 years Weighted average
252Cf 86 ± 1 year Weighted average
254Fm 228 ± 1 day Selected value
258Fm 0.37 ± 0.02 ms Weighted average
256Rf 6.2 ± 0.2 ms Weighted average
260Rf 20 ± 1 ms Selected value

It is worth noting that when dealing with quantities that can vary by many orders of magnitude, it makes sense to compare not the differences between theory and experiment but rather the logarithm of the ratio of theory to experiment,

Equation (1)

The target performance measures are then the mean value of Rx,

Equation (2)

and the variance about the mean

Equation (3)

Here Nd is the number of data points in the benchmark set. We note that these measures are in common use, for example in reporting the performance of theories of the nuclear level density [11]. Of course, if the model makes use of a parameter to fit benchmark data or data of the same kind, only the σ value provides an interesting test of the theory.

2.4. Mass distributions

Fission fragment yields are commonly characterized by independent, cumulative and chain mass yields. Establishing meaningful benchmarks is complicated by the fact that there is no direct relation between what theories predict and what experiments measure.

Experimentally, the best-known mass yields are for the thermal neutron-induced fission reactions on 235U and 239Pu. Precise measurements (1−2%) have often been made using radiochemical techniques, in which cumulative yields are measured. Inferring the independent yields from those measurements therefore requires some modeling. Finally, fission theories will predict pre-neutron emission fission fragment yields, while experimental data always correspond to post-neutron emission yields. Here we limit the recommended fission fragment mass distribution benchmarks to only a few spontaneous fission or thermal neutron-induced fission reactions for which the average prompt neutron multiplicity as a function of the fragment mass is known relatively well.

However, for benchmarking purposes, we just recommend only two quantities that should be easier to compute and reflect the coarsest features of the distribution. We first determine the average mass Am as

Equation (4)

where $P={{\sum }_{A}}P(A)$ is the total probability. Note that P = 1 is not precisely satisfied in the evaluated data tables. The experimental Am comes out a few units less than half the mass number of the original nucleus, due to the emission of the prompt neutrons.

The benchmarks are the following two moments of the distribution for the higher mass fragments:

Equation (5)

Equation (6)

Here ${{P}_{\gt }}$ is the total probability of producing fission fragments of mass higher than Am:

Equation (7)

In simple models ${{P}_{\gt }}$ will be equal to one, but the experimental value differs from that by a small amount.

For the experimental cases, we include the thermal neutron-induced fission of 235U, 239Pu and 255Fm. The first two have the classic asymmetric mass yields and the latter has a more centered yield curve. Also we consider an example of spontaneous fission of 252Cf. The moments in table 4 were extracted from the experimental $P(A)$ data compiled in [12, 13]. The table also gives the values of Am and ${{P}_{\gt }}$ for the data, although these are not part of the benchmark.

Table 4.  Fission product mass distribution characteristics extracted from the experimental data compiled in [12]. (The data are available in a tabulated text form in [13].)

Nuclide Am ${{P}_{\gt }}$ ${{S}_{\gt }}$ ${{\sigma }_{\gt }}$
236U* 116.7 0.98 22.0 5.1
240Pu* 118.3 0.96 19.9 5.7
252Cf 124.0 0.99 18.0 6.4
256Fm* 126.4 0.97 12.3 6.9

*denotes induced fission by thermal neutron capture on the $A-1$ isotope.

Table 5.  Recommended [14] average pre-neutron evaporation total kinetic energies of the fission fragments.

Reaction $\langle {\rm TKE}\rangle $ (MeV)
233U (${{n}_{{\rm th}}},f$) 170.1 ± 0.5
235U (${{n}_{{\rm th}}},f$) 170.5 ± 0.5
239Pu (${{n}_{{\rm th}}},f$) 177.9 ± 0.5
252Cf (sf) 184.1 ± 1.3

2.5. Total kinetic energies

The total kinetic energy (TKE) of the fission fragments is an important quantity for several reasons. It is an indicator for the shape of the fission fragments near their scission configurations: the higher the TKE value, the more compact the nascent fragments are. This quantity also directly influences the excitation energy left in the initial fragments, which is released through the evaporation of neutrons and photons. It also represents an important benchmark for fission theories to compute.

The average pre-neutron evaporation total kinetic energies $\langle {\rm TKE}\rangle $ for 252Cf spontaneous fission and thermal neutron-induced fission of $^{233,235}$U and 239Pu are considered as energy standards [14]. To a first-order, the evolution of $\langle {\rm TKE}\rangle $ follows the Coulomb parameter ${{Z}^{2}}/{{A}^{1/3}}$. The evolution of the average total kinetic energy of the fission fragments with the incident neutron energy was addressed in [15], by fitting available experimental data. The fitted values for the thermal energy point for 235U and 239Pu are consistent within one-sigma with the values recommended in [14].

3. Concluding remarks

This document provides a small set of fission data that can be used to test the validity of theoretical calculations. Obviously the fission process is very complex and rich, and many more data exist beyond this very small sample. One should view these notes as a living document, which will need to be updated as more useful information becomes available, and as fidelity of fission theory improves.

Acknowledgments

These benchmarks arose out of the Program INT-13-3 at the Institute for Nuclear Theory, 'Quantitative Large Amplitude Shape Dynamics: fission and heavy ion fusion'. Discussions with A Andreyev, R Mills, and A Sonzogni are gratefully acknowledged. This work was supported by the U.S. Department of Energy under Contract Nos. DE-FG02-00ER41132 (INT), DE-SC0008511 (NUCLEI SciDAC Collaboration), DE-NA0002574 (Stewardship Science Academic Alliances program), and No. DE-FG06-97ER41026 (OSU).

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10.1088/0954-3899/42/7/077001