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Evaluation of Spin Distributions in Fission Fragments using the - - PowerPoint PPT Presentation

Evaluation of Spin Distributions in Fission Fragments using the Statistical Model H. Faust, G. Kessedjian, C.Sage, U. Koester and A. Chebboubi Institut Laue-Langevin and LPSC Grenoble, France -interpretation of measured kinetic energy


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SLIDE 1

Evaluation of Spin Distributions in Fission Fragments using the Statistical Model

  • H. Faust, G. Kessedjian, C.Sage, U. Koester and A. Chebboubi

Institut Laue-Langevin and LPSC Grenoble, France

  • interpretation of measured kinetic energy distributions and spin distributions on the

basis of the statistical model

  • a new spectrometer to measure the prompt decay of fission products
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SLIDE 2

Statistical Model/Thermodynamic and Nuclear Fission 2nd law of thermodynamics:

S=entropy, counts the number

  • f nuclear levels in the potential

ρ ln = S

) , , (

*

E Z A W ρ ∝

*

dE dN = ρ

number of nuclear levels per energy interval

If Fermi-gas model:

*

2 *)

, , (

aE

e E Z A = ρ

) , ( Z A a

level density parameter S

e W ∝

Statistical model: no selection rules, no barriers

All levels have the same weight, independent of quantum numbers

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SLIDE 3

Thermodynamic model: following decay all levels in the residual nucleus (fission fragment) are occupied according to Boltzmann, which results in: kT E

e E a W

*

) , (

* −

⋅ ∝ ρ

kT depends on the Q-value of the reaction and on the type of interaction

  • for the nuclear fission process:

*

ln 1 dE d kT ρ =

  • if TXE (or TKE) distribution is known: derivative is taken at the maximum of the distribution
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SLIDE 4

Statistical ensemble in nuclear physics:

  • micro-canonical ensemble of nuclei (fission fragments) which are non interacting

(all fission products of one kind (e.g.142Ba) from the same compound system e.g. from 235U(n,f))

  • important: statistical decay is a one-step process from a initial to a final state

In contrast: antagonistic view of the fission process: Fission viewed as sequence of LD-shapes : Here only the groundstate is followed in a moving barrier landscape,

1 = ρ

________________________________________________________________ ________________________________________________________________

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SLIDE 5

statistical model approach for the fission process: mechanism: at the excitation energies for fragments (10 to 20 MeV) pairing can be neclected excitation energy: independent particle model, nucleons are promoted to excited states according to Boltzmann spin: the final fragment angular momentum is generated by the coupling

  • f spin and orbital momenta of the individual nucleons to the fragment

spin J for the evaluation of energy and spin distributions of a statistical ensemble

  • f fragments the nuclear temperature kT must be known. This is the only

unknown parameter which enters the calculations

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SLIDE 6

thermodynamic model thermodynamic model: the calculation of fragment mass distribution leads to wrong results (unless the available phase space is strongly truncated by selection rules)

  • in the following: only fragment excitation, fragment kinetic energy,

spin distribution and alignment are addressed..

  • questions on mass and nuclear charge distribution are not addressed
  • --it is assumed that we can decouple fragment mass/charge distribution

and fragment excitation

) , ( ) , ( ) , , , (

* * i i i i i i i i

J E Z A J E Z A W Φ ⋅ Θ =

We know: We know:

  • ---and further as a consequence of the statistical model---

) ( ) ( ) , (

* * i i i i

J G E P J E ⋅ = Φ

  • separation for excitation energy and spin
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SLIDE 7

The probability to excite a fragment at E* is The probability to excite a fragment at E* is

* / * * *

*

* ) ( * 1 ) ( dE e E N dE E P

T E −

= ρ ) (

*

E ρ level density for excited states in the nucleus

T E

e

/

*

Boltzmann factor which populates the excited levels *) (E ρ E*

T E

e

* −

P(E*) E*

2

aT

10 1

[MeV]

P(E*)

) 2 exp( ) (

* *

aE E = ρ

Fermi gas expression

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SLIDE 8

kT determines also the spin distribution for fragment (A,Z) via the spin cutoff parameter

3 / 2 2

088 . A kT a ⋅ ⋅ ⋅ = σ

1 2 3 4 5 6 7 5 10 15 20 exp(-x*(x+1)/50)*(2*x+1)

) 2 / ) 1 ( exp( ) 1 2 ( ) (

2

σ + − + ∝ J J J J G

G(J) J

The probability to populate spin J in the fragment is The probability to populate spin J in the fragment is

5 . − >= < σ J

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SLIDE 9

80 100 120 140 160 180 5 10 15 20 25

  • lev. dens. par.

mass

  • lev. dens. par.

Butz-Joergensen & Knitter

Measured level density parameter as function of fragment mass

(Butz-Joergenson and Knitter) The dependence of the level density parameter on the excitation energy is given by Ignatyuk et al.

ε

) . , ( . 10 ε δ Z A A a + =

The structure in the level density parameter imposes a structure on the mean excitation energies and mean spin values of the fragments as function of fragment mass.

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SLIDE 10

The temperature parameter determines the distribution functions for the excitation and the spin of fragments of the same kind (A,Z), e.g 146Ba- statistical ensemble The knowledge of the temperature allows to know how the total excitation energy TXE in fission is shared between the light and the heavy fragment To determine the temperature we have 3 ways: 1) Find a decay law for nuclear fission, in analogy to gamma decay, beta decay, or neutron decay 2) We have measured the total excitation energy TXE, e.g. by the determination

  • f the fragment kinetic energies and by application of conservation laws

) ( ) (ln ) ( 1 TXE d d TXE d dS kT ρ = =

3) We find an empirical law which connects the temperature to the Q-value of the reaction

a TXE kT =

, for Fermi-gas: Temperature of the statistical ensemble

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SLIDE 11

Q f kT ⋅ =

Empirical relationship for the temperature kT of a statistical ensemble

  • f fragments with mass A and nuclear charge Z:

88 89 90 91 92 93 94 95 96 97 0.0035 0.0040 0.0045 0.0050 0.0055 0.0060

f

  • nucl. charge of compound nucleus

b aZ f

c +

=

Dependence of constant f on the actinide system: 219Ac [12MeV],GSI 225Th [12MeV],GSI 234U [12MeV],GSI; [6MeV],LOHENGRIN 246Cm [6MeV],LOHENGRIN

In general: temperature must come from a decay law not known for fission

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SLIDE 12

If the temperature kT of the system is known, all observables concerning the energy and spin distribution are determined

* 2 * 2 * 2 * 2 * 1 * 1 * 1 * 1

) ( ) ( ) ( ) (

* 2 * 1

dE E dE E P dE E dE E P

e e

kT E kT E

ρ ρ ⋅ = ⋅ =

− −

  • for the excitation energy distributions of the fragments we have
  • for the spin distribution we have

) 2 ) 1 ( exp( ) 2 exp( ) ( ) 2 ) 1 ( exp( ) 2 exp( ) (

2 2 2 2 2 2 2 2 1 1 2 2 1 1

σ σ σ σ + − − − = + − − − = J J J J G J J J J G

with

) (

* 2 , 1

E ρ

the level density parameter for fragment 1,2

notice: independent excitation for fragment 1 and 2, not coupled to deformation and

3 2 2 , 1 2 , 1 2

0888 . A kT a ⋅ ⋅ ⋅ = σ

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SLIDE 13

Calculation of mean values for single fragment kinetic energies:

2 2 * 2 2 1 * 1

) ( ) ( fQ a E fQ a E ⋅ >= < ⋅ >= <

> < + > >=< <

* 2 * 1

E E TXE

nuclear fission is a binary reaction: from momentum and energy conservation law we get the distribution of the single fragment kinetic energies:

1 2 2

1 A A TKE Ekin + > < >= <

2 1 1

1 A A TKE Ekin + > < >= < for fragment 1 for fragment 2

> < − >= < TXE Q TKE fQ kT =

Start from excitation of fragments, not from Coulomb repulsion:

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SLIDE 14

80 90 100 110 120 130 140 150 160 50 60 70 80 90 100 110

<Ekin> [MeV] mass number exp. calc.

Calculated and experimental mean kinetic energies for 233U(n,f) Calculated and experimental mean kinetic energies for 233U(n,f) Calculations (open points) are done with the fermi gas appoach for the nuclear level density. Experimental points are from LOHENGRIN experiments.

0045 . = f

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SLIDE 15

From the agreement of the calculated mean kinetic energies with the measured ones:

  • we know the constant to calculate the temperature of the fragments for different systems
  • we can address to the spin distributions for the fragments
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SLIDE 16

2 4 6 8 10 12 14 70 80 90 100 110 120 130 140 150 160 170 'sigma_kt' us 1:2 'sigma_kt' us 1:6 'sigma_kt' us 1:10

<J> A

kT=0.8MeV kT=1.6MeV kT=1.2MeV

Mean fragment spin (1 Mean fragment spin (1st

st moment)

moment)

) 2 ) 1 ( exp( 2 1 2

2 2

σ σ + − + = Φ J J J

J

3 2 2 , 1 2 , 1 2

0888 . A kT a ⋅ ⋅ ⋅ = σ

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SLIDE 17

2 4 6 8 10 12 5 10 15 20

excitation energy [MeV] spin entry states

Entry states for A=94 from 233U(n,f) Entry states for A=94 from 233U(n,f) Knowing the excitation energy distribution and the spin distribution function we can construct the entry states:

  • in order to find experimentally the spin distribution of fragments we can:
  • measure directly the population of the Yrast band
  • deduce the mean spin values from the population of isomeric states
  • a model is needed to extract spin values from the experiment. The model has to

say how the entry states decay by gamma and neutron emission.

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SLIDE 18

Decay pattern in fragment de-excitation

n 5 10 15 spin 5 10 15 20 excitation [MeV] Bn n g g in general: statistical decay by neutrons and dipole gamma rays assumed:

  • neutrons do not take away angular momentum
  • gamma rays take away 0 or +-1 units of angular

momentum

  • no transitions along rotational bands (beside

gs-band)

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SLIDE 19

Madland/England Madland/England-

  • model for extraction of <J> values from

model for extraction of <J> values from population of isomeric states population of isomeric states spin excitation energy [MeV] 3 6 9 12 10 20 entry states

  • separation line at

2

2 1

J J +

isomeric states

  • not transitions along rotational bands included
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SLIDE 20

70 80 90 100 110 120 130 140 150 160 170 180 2 4 6 8 10 12 14

<J> fragment mass 235U(n,f) kT=1.2MeV

note: absolute values for <J> may be erroneous due to model dependence, but general trend should be OK note: kT is different for different masses, but: complementary fragments have the same temperature result: <J>heavy=<J>light +2

  • --the minimum for 132Sn seems to be confirmed (small level density parameter)---

235U(n,f) <J> from isomer ratios Huizenga/Vandenbosch approach Compilation of data by Naik et al. Calculated values for kt=1.2MeV (to guide the eye)

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SLIDE 21

Mean angular momentum in fragments as function of the fragment Mean angular momentum in fragments as function of the fragment kinetic energy kinetic energy

Methodology fragment 1 fragment 2 TXE kT kT Calculation of kT from TXE

2 1

a a TXE kT + =

TXE from single fragment kinetic energy

2 1 2 1 1

] 1 [ a a A A E Q kT

kin

+ + − =

  • n

conservati energy momentum E E TKE TKE Q TXE

kin kin

− + + = − =

2 1

note: a discrete value of TXE leads to a temperature distribution of the fragments

no free parameters, kT fixed by measurement of Ekin1

  • translate single fragment kinetic energy in temperature:
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SLIDE 22

4 5 6 7 8 9 10 70 75 80 85 90 95 100 'sigma_ekin' us 2:4

Ekin [MeV] <J> A=100

1.82 1.61 1.36 1.06

kT [MeV] Dependence of mean fragment spin on the fragment kinetic energy Dependence of mean fragment spin on the fragment kinetic energy (on temperature (on temperature) in general: mean fragment spin is increasing when the kinetic energy is decreasing (temperature goes up)

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SLIDE 23

90 95 100 105 110 2 4 6 8 10

<J> Ekin [MeV] 102Nb

68 70 72 74 76 78 80 82 84 86 88 2 4 6 8 10

<J> Ekin [MeV] 132Sb

102Nb 132Sb

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SLIDE 24

spin J energy [keV] 2 4 6 8 10 12 1000 500 Yrast Yrast-

  • band model (deformed even

band model (deformed even-

  • even fragments)

even fragments)

  • direct feeding of gs-band members P(J) (simplified Huizenga/Vandenbosch
  • de-excitation along yrast band

P(2) P(4) P(6) P(8) P(10) P(12)

∞ =

=

12 12

) (

J

J P Iγ

) 10 (

12 10

P I I + =

γ γ

) 8 (

10 8

P I I + =

γ γ

) 6 (

8 6

P I I + =

γ γ

) 4 (

6 4

P I I + =

γ γ

) 2 (

4 2

P I I + =

γ γ

  • may be refined by taking into account feeding from odd spin members

assumption: higher bands do not play a big role due to

3 γ

E

(beside from the feeding of the 0+ ground state) simplified Huizenga/Vandenbosch: only one statistical gamma ray (in the mean) decay rule

) 2 ) 1 ( exp( 2 1 2 ) (

2 2

σ σ + − + = J J J J P

  • distribution functions for fragment spin:
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SLIDE 25

2 4 6 8 10 12 14 5 10 15 20 25 30

P(J) spin 140Ba

probable reason for deviation at high J: nearby additional bands take away intensity P(10) P(8) P(6) P(4) P(2)

) ( ) ( ) ( in I

  • ut

I J P

J J γ γ

− =

feeding of gs-band members:

fQ kT =

0058 . = f

(248Cm(sf))

,

MeV kT 18 . 1 =

Population of ground Population of ground-

  • state band members in 248Cm(sf)

state band members in 248Cm(sf) data from Urban et al. Phys Rev C

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SLIDE 26

Conclusions Conclusions

  • we have applied the well known statistical model to the fission process
  • Fermi gas description for level density and
  • Bethe formulation for spin density (shell model state sequence)
  • kinetic energy distributions are constructed from momentum and energy conservation
  • this appears to lead to a full description of energetics in nuclear fission at low energies

((sf) and thermal neutron capture)

  • separation of the charge/masse distribution from energy and spin distribution
  • expression for the temperature from empirical law
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SLIDE 27

The gas filled magnet for the investigation of prompt gamma decay characteristics in nuclear fission

aim:

  • to provide a filter in mass and charge range for the recording of

prompt gamma decay from fission fragments (selectivity)

  • to provide focusing characteristics for ionic charge, velocity

and solid angle (efficiency)

  • problems:
  • due to collisions with the gas the ionic charge <q> of the incoming

ions is strongly fluctuating

  • the values in the magnetic field change along the

path of the ion

  • the velocity of the ions change along the path

(electronic and nuclear stopping, dE/dx)

ρ B

Collaboration: ILL, LPSC Grenoble, CEA Cadarache, CEA Saclay

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SLIDE 28

the following difficulties arise: A) concerning the mean ionic charge of the ions:

  • shell effects at magic numbers for the ionic charge
  • pressure dependence of the mean charge values

B) concerning the stopping of ions at energies of 1Mev/amu:

  • effective charge of the ions
  • validity of the Bethe Bloch formalism

> < > < ⋅ = q v A const Bρ

<v> and <q> to be determined

,...) , (

arg 2 2 et t

Z v q f dx dE > < > < =

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SLIDE 29

Experimental set up: Experimental set up: Dipol-magnet RED filled with gas: deflection radius:

cm 60 = ρ

trajectory lengths: 68cm deflection angle : 65 degrees gas filling: He, N2, Ar, Kr, Xe energy loss of ions: up to 70% in gas filled section gas filling of last section ions: 88Br 98Y 109Ru 132Te 136Xe

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SLIDE 30

Spectrometer lay‐out

Gas-filled magnet properties:

  • Ionic charge focusing
  • determination of A, (Z)

Gas-filled magnet properties:

  • Ionic charge focusing
  • determination of A, (Z)

Fragment detection (A,Z,Ekin)

Rate ~ 105 fission/s Possible targets : 229Th, 233,235U, 239,241Pu, 242Am, 243,245,247Cm,249,251Cf

TOF

Intense cold neutron beam (109 n/cm2.s at the exit of a bent neutron guide)

Gamma-ray detection (Ge clovers, Ge planars) Gamma-ray detection (Ge clovers, Ge planars)

ρ B

He-filled

left fragment: stopped in backing Doppler free gamma detection, determination of: A,Z,E*,J,yield right fragment: TOF: velocity magnet: mass with the help of conservation laws: full picture of fission event full picture of fission event