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Outer electron orbital

2.3 Correlation between particles from fission

2.3

Correlation between particles from fission

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As described in the previous sections, following spontaneous and induced fission, a number

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of prompt neutrons andγ rays are emitted [34, 35, 50, 51, 52]. All particles released during a

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fission event are correlated3 to each other in four domains: i) number of particles released; ii) 1153

temporal separation between the released particles; iii) spatial separation between the released

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particles; and iv) the energies at which the particles are emitted. Such correlations have been

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studied widely [36, 37, 38].

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The neutronnumber distributions (i.e. probability distribution functions outlining the likeli-

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hood of a given number of neutrons,n, that may be emitted following fission) of some common

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spontaneously fissile isotopes are illustrated in figure 2.8(a) and table 2.2(a). These number

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distributions depend on the mass of the fission fragments that are created during the fission

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process [54], which in turn is dependent on the mass of the parent isotope and the excitation

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energy of the inducing neutron (latter is valid for induced fission only). Such correlation may

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also be noticed in the promptγrays that are emitted during spontaneous fission [55], as shown

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in figure 2.8(b).

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Further to this, each of the prompt neutrons and γ rays expelled from the parent nucleus

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have different times of emission but are clustered together in the sub-nanosecond region (i.e. <

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10−13 second [44]). Additionally, as the fission fragments break away, the energies with which

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they escape are correlated to one another [56]. As the subsequent particles that are emitted

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share among themselves the energy that the fission fragments gained during the fission process,

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this gives rise to the energy correlation between them. This is not to be confused with the

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Maxwellian statistical distribution, which is widely used for the energy distribution of the average

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or individual neutrons that are emitted from a fission isotope. Here, correlation refers to the fact

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that the energy of the first neutron, which itself has a Maxwellian statistical distribution, will

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impact the energy of subsequent neutrons, i.e. their position in the Maxwellian distribution.

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A significant proportion of the neutrons expelled during spontaneous and induced fission are

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emitted from two fission fragments which usually have unequal mass. These fragments move away

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from each other due to the kinetic energy gained during the fission process. Since 95% of all the

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particles emitted during the fission process are from fully accelerated fragments [48], the released

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particles contain part of that momentum in accordance with conservation law. As a consequence,

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neutrons emitted from a single fission fragment will be polarized in the same direction (i.e. the

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emitted neutrons will have a small angular separation); whereas neutrons emitted from two

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complementary fragments will be focused in opposing directions (i.e. the emitted neutrons will

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3A mutual relationship or connection, i.e. interdependence, between two or more things, e.g. the energy of

(a) Neutron number distribution for spontaneous fission of various isotopes.

(b)γ-ray number distribution for spontaneous fission of various isotopes.

Figure 2.8|Neutron andγ-ray number distributions following spontaneous fission of various isotopes. Illustration of the(a)neutron and(b)γ-raynumber distributionsfollowing spontaneous fission of various isotopes. These data points are discrete distributions and the straight-line fit was added to guide the eye only. The distributions were obtained from the FREYA libraries [53] using a C++ script (see appendix D.1).

2.3. Correlation between particles from fission 27

Figure 2.9 | Angular correlation of neutron and γ-ray particles from spontaneous fission of252Cf. Angular separations between the particles emitted from the spontaneous fission

of252Cf isotope extracted from the FREYA library [53] using a C++ script (see appendix D.2).

have a large angular separation). Thus, the neutrons originating from fissioning isotopes will

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have an anisotropic spatial correlation, i.e. they are emitted preferentially near 0 and π rad

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relative to each other. Additionally, the rotation of the fission fragments is also documented to

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have a small influence on the anisotropy of the distribution [48, 57]. The number of neutrons

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that are emitted during the descent from saddle to scission and during the acceleration of the

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fragments is limited, as only 5% of the emitted neutrons fall in this category, but may still have a

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discernible contribution towards the spatial anisotropy. These trends in spatial distribution are

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illustrated in figure 2.9 for252Cf. 1190

2.3.1

Fission models for correlated particles

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There are several models that have evolved over the past decades which can be used to predict

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the characteristics of neutrons andγ rays that are emitted from fission events [48, 59]. These

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include, but are not limited to:

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1. CGMF which is an implementation of the statistical Hauser-Feshbach nuclear reaction

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theory [60] applied to the de-excitation of the primary fission fragments which are described

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as compound nuclei with an initial excitation energy, spin and parity. Each emitted neutron

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andγ-ray particle removes its kinetic energy from the fragment’s intrinsic excitation energy,

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while doing little to change the fragment’s angular momentum [61, 62].

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2. Fission Reaction Event Yield Algorithm (FREYA)which generates complete fission events

providing the full kinematic information on the fission products, and all the subsequently

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emitted neutrons and photons, by relying on experimental data; and is supplemented using

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a simple physics-based model when no experimental data are available [53, 57].

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3. FIFRELIN which is based on empirical models associated with macroscopic or microscopic

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ingredients or both with the fission fragment de-excitation being performed within Weis-

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skopf (for uncoupled neutron andγ-ray emission) or Hauser-Feshbach (for coupled neutron

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andγ-ray emission) statistical theory [63].

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To complete this thesis, the FREYA model [53, 57, 64] was used for modelling correlated

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particles. It uses experimental data for neutron and γ-ray4 number distributions (i.e. P ν for 1209

neutron andGforγray) from spontaneous fission (see table 2.2(a) on page 24). If no data exist, it

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uses Terrell’s approximation [65] in equation 2.20 for neutron and Valentine’s approximation [66]

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in equation 2.21 forγ-ray emissions, with parameters taken from Ensslin [34].

1212 ν X n=0 Pn = 1 √ 2π Z ν−ν¯+0σ.05+b −∞ exp−t 2 2 dt (2.20) 1213 Y (G) =a+G+ 1 G a a+ ¯G G 1− a a+ ¯G , wherea≈26 (2.21) 1214 En= r πb 4a exp4ba a exp −cE0sinh(bE0) (2.22)

The energy distributions of neutrons (En) from spontaneous fission events are defined using 1215

the Watt spectrum equation (see equation 2.22). The values of the coefficients of the Watt

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spectrum equation are taken from Ensslin [34] (see table 2.2(a) on page 24). For neutron-induced

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fission, FREYA uses TART’s implementation [67]. The energy correlation is then computed by

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the FREYA model by imposing a constraint on the total event energy of all emitted particles

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using a technique whereby the average outgoing promptγ-ray energy and prompt neutron energy

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are expressed by an actinide-dependent quadratic expression. In this method, the description of

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γ-ray spectra is limited to232U,235U,238U, 239Pu and 252Cf, whilst the neutron energy spectra

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is available for 73 different actinides based on Evaluated Nuclear Data Library 2008.

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4Experimental data forγnumber distributions are only available for spontaneous fission of252Cf. Others are