statistical properties of nuclei: beyond the mean field yoram alhassid (yale university)...
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Statistical properties of nuclei: beyond the mean field
Yoram Alhassid (Yale University)
• Introduction
• Beyond the mean field: correlations via fluctuations The static path approximation (SPA) The shell model Monte Carlo (SMMC) approach.
• Partition functions and level densities in SMMC.
• Level densities in medium-mass nuclei: theory versus experiment.
• Projection on good quantum numbers: spin, parity,…
• A theoretical challenge: the heavy deformed nuclei.
• Conclusion and prospects.
Introduction
Statistical properties at finite temperature or excitation energy:level density and partition function, heat capacity, moment of inertia,…
• Level densities are an integral part of the Hauser-Feshbach theory of nuclear reaction rates (e.g., nucleosynthesis)
• Partition functions are required in the modeling of supernovae and stellar collapse
• Study the signatures of phase transitions in finite systems.
A suitable model is the interacting shell model: it includes both shell effectsand residual interactions.
However, in medium-mass and heavy nuclei the required model space is prohibitively large for conventional diagonalization.
Non-perturbative methods are necessary because of the strong interactions.Mean-field approximations are tractable but often insufficient.
Correlation effects can be reproduced by fluctuations around the mean field
Beyond the mean field: correlations via fluctuations
He G U D (Hubbard-Stratonovich transformation).
/H Te
U Gibbs ensemble at temperature T can be written as a superposition of ensembles of non-interacting nucleons in time-dependent fields
• Static path approximation (SPA): integrate over static fluctuations of the relevant order parameters.
• Shell model Monte Carlo (SMMC): integrate over all fluctuations by Monte Carlo methods.
Lang, Johnson, Koonin, Ormand, PRC 48, 1518 (1993); Alhassid, Dean, Koonin, Lang, Ormand, PRL 72, 613 (1994).
Enables calculations in model spaces that are many orders of magnitude larger.
Level densities
Experimental methods: (i) Low energies: counting; (ii) intermediate energies: charged particles, Oslo method, neutron evaporation; (iii) neutron threshold: neutron resonances; (iv) higher energies: Ericson fluctuations.
5/ 4 21/ 412
xa E
x xE a E e
a = single-particle level density parameter.
= backshift parameter.
and it is difficult to predict But: a and are adjusted for each nucleus
Good fits to the data are obtained using the backshifted Bethe formula (BBF):
SMMC is an especially suitable method for microscopic calculations: correlationeffects are included exactly in very large model spaces (~1029 for rare-earths)
Partition function and level density in SMMC
[H. Nakada and Y.Alhassid, PRL 79, 2939 (1997)]
Level density: the average level density is found from in the saddle-point approximation:
S(E) = canonical entropy; C = canonical heat capacity.
2
1
2
S E
T CE e
( ) lnS E Z E 2 /C E
ln / ( )Z E ( )Z Partition function: calculate the thermal energy and integrate to find the partition function
( )Z
( )E H
[Y.Alhassid, S. Liu, and H. Nakada, PRL 83, 4265 (1999)]
• is a smooth function of A.
• Odd-even staggering effects in (a pairing effect).
• Good agreement with experimental data without adjustable parameters.
• Improvement over empirical formulas.
SMMC level densities are well fitted to the backshifted Bethe formula
Extract and
a
a
Medium mass nuclei (A ~ 50 -70)
• Complete fpg9/2-shell, pairing plus surface-peaked multipole-multipole interactions up to hexadecupole (dominant collective components).
Spin distributions in even-odd, even-even and odd-odd nuclei
(i) Spin projection [Y. Alhassid, S. Liu and H. Nakada, Phys. Rev. Lett. 99, 162504 (2007) ]
2( 1) / 2
3
2 1
2 2J JJ J
e
Spin cutoff model:
• Spin cutoff model works very well except at low excitation energies.
• Staggering effect in spin for even-even nuclei.
Dependence on good quantum numbers
22
IT
Thermal moment of inertia can be extracted from:
Signatures of pairing correlations:
• Suppression of moment of inertia at low excitations in even-even nuclei.• Correlated with pairing energy of J=0 neutrons pairs.
Moment of inertia
Model: deformed Woods-Saxon potential plus pairing interaction.
(i) Number-parity projection : the major odd-even effects are described by a number-parity projection
• Projects on even ( = 1) or odd ( = -1) number of particles.
ˆ11
2i NP e
A simple model [Y. Alhassid, G.F. Bertsch, L. Fang, and S. Liu; Phys. Rev. C 72, 064326 (2005)]
1/1 kE Tk kf f e
(negative occupations !)
• include static fluctuations of the pairing order parameter.
(ii) Static path approximation (SPA)
is obtained from by the replacement
(ii) Parity projection
Ratio of odd-to-even parity leveldensities versus excitation energy.
even at neutron resonanceenergy (contrary to a common assumption used in nucleosynthesis).
A simple model (I)
Y. Alhassid, G.F. Bertsch, S. Liu, H. Nakada [Phys. Rev. Lett. 84, 4313 (2000)]
• The quasi-particles occupy levels with parity according to a Poisson distribution.
H. Nakada and Y.Alhassid, PRL 79, 2939 (1997); PLB 436, 231 (1998).
/ tanhZ Z f
is the mean occupation of quasi-particle orbitals with parity
f
A simple model (II)[H. Chen and Y. Alhassid]
• Deformed Woods-Saxon potential plus pairing interaction.
Ratio of odd-to-even parity partition functions
Ratio of odd-to-even paritylevel densities
• Number-parity projection, SPA plus parity projection.
• It is time consuming to include higher shells in the fully correlated calculations.
We have combined the fully correlated partition in the truncated space with the independent-particle partition in the full space (all bound states plus continuum)
Extending the theory to higher temperatures/excitation energies
[Alhassid, Bertsch and Fang, PRC 68, 044322 (2003)]
• BBF works well up to T ~ 4 MeV
Extended heat capacity (up to T ~ 4 MeV)
• Strong odd/even effect: a signature of pairing phase transition
Theory (SMMC)Experiment (Oslo)
A theoretical challenge: the heavy deformed nuclei
• Medium-mass nuclei:
small deformation, first excitation ~ 1- 2 MeV in even-even nuclei.
• Heavy nuclei:
large deformation (open shell), first excitation ~ 100 keV, rotational bands.
Can we describe rotational behavior in a truncated spherical shell model?
[Y. Alhassid, L. Fang and H. Nakada, arXive:0710.1656 (PRL, 2008)]
Several obstacles in extending SMMC to heavy nuclei.
• Conceptual difficulty:
• Technical difficulties:
Example: 162Dy (even-even)
• Model space includes 1029 configurations ! (largest SMMC calculation)
• versus confirms rotational character with a moment of inertia:
with(experimental value is ).
2J T
135.5 3.3I MeV 137.2MeV
2 2J IT
Rotational character can be reproduced in a truncated spherical shell model !
• SMMC level density is in excellent agreement with experiments.
Even-odd and odd-odd rare-earth nuclei (Ozen, Alhassid, Nakada)
• A sign problem when projecting on odd number of particles (at low T)
Conclusion
• Fully microscopic calculations of statistical properties of nuclei are now possible by the shell model quantum Monte Carlo methods.
• The dependence on good quantum numbers (spin, parity,…) can be determined using exact projection methods.
• Simple models can explain certain features of the SMMC spin and parity distributions.
• SMMC successfully extended to heavy deformed nuclei: rotational character can be reproduced in a truncated spherical shell model.
Prospects
• Systematic studies of the statistical properties of heavy nuclei. • Develop “global” methods to derive effective shell model interactions.
We have used SMMC to calculate the statistical properties of nuclei in the iron region in the complete fpg9/2-shell.
• Single-particle energies from Woods-Saxon potential plus spin-orbit.
Medium mass nuclei (A ~ 50 -70)
• Interaction has a good Monte Carlo sign.
• The interaction includes the dominant components of realistic effective interactions: pairing + multipole-multipole interactions (quadrupole, octupole, and hexadecupole).
Pairing interaction is determined to reproduce the experimental gap (from odd-even mass differences).
Multipole-multipole interaction is determined self-consistently and renormalized.
Parity distributionAlhassid, Bertsch, Liu and Nakada, Phys. Rev. Lett. 84, 4313 (2000)
The distribution to find n particles in single-particle states with parity is a Poisson distribution:
( )!
nff
P n en
For an even-even nucleus:
_
_
( )( )tanh
( ) ( )n odd
n even
P nZf
Z P n
Where is the total Fermi- Dirac
occupation in all states with parity
f
( )
1
1 aEaf
e
Occupation distribution of the even-parityorbits ( ) in 9/ 2g 60Ni
• Deviations from Poissondistribution for T < 1 MeV (pairing effect)
The model should be applied for the quasi-particles:
1
1 aa Ea a
f fe
Nanoparticles (
versus nuclei
Spin susceptibility Moment of inertia
Heat capacity
Thermal signatures of pairing correlations: summary
Experiment (Oslo)
• Pairing correlations (for ~1) manifest through strong odd/even effects.
Extending the theory to higher temperatures
[Y.Alhassid., G.F. Bertsch, and L. Fang, Phys. Rev. C 68, 044322 (2003)]
It is time consuming to include higher shells in the Monte Carlo approach.
We have combined the fully correlated partition in the truncated space with the independent-particle partition in the full space (all bound states plus continuum):
(i) Independent-particle model
• Include both bound states and continuum:
• Truncation to one major shell is problematic for T > 1.5 MeV.
• The continuum is important for a nucleus with a small neutron separation energy (66Cr).
• SMMC level density is in excellent agreement with experiments.
• Results from several experiments are fitted to a composite formula:constant temperature below EM
and BBF above.
• Ground-state energy in SMMChas additional ~ 3 MeV of correlationenergy as compared with Hartree-Fock-Boguliubov (HFB).
Thermal energy vs. inverse temperature
Experimental state density
• An almost complete set of levels(with spin) is known up to ~ 2 MeV.
(i) A constant temperature formula is fitted to level counting.
(ii) A BBF above EM is determined by matching conditions at EM
A composite formula
(iii) Renormalize Oslo data by fitting their data and neutronresonance to the composite formula
The composite formula is an excellent fit to all three experimental data.