INT November 2004 1 Computational Nuclear Structure RPA and The Shell Model Calvin W. Johnson San Diego State University Ionel Stetcu Louisiana State University & University of Arizona I. Stetcu and C. W. Johnson, Phys. Rev. C 66 034301 (2002) C. W. Johnson and I. Stetcu, Phys. Rev. C 66, 064304 (2002) I. Stetcu and C. W. Johnson, Phys. Rev. C. 67, 043315 (2003) I. Stetcu and C. W. Johnson, Phys Rev. C 69, 024311 (2004) Johnson, Vazquez, and Stetcu, in preparation This work was supported by grants from the Department of Energy
57
Embed
Nuclear Structure RPA The Shell Model · INT November 2004 12 Computational Nuclear Structure RPA as generalized harmonic oscillator From the h.o. creation/annihilation operators
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
INT November 2004 1
ComputationalNuclear Structure
RPAand
The Shell ModelCalvin W. Johnson San Diego State University
Ionel Stetcu Louisiana State University & University of Arizona
I. Stetcu and C. W. Johnson, Phys. Rev. C 66 034301 (2002)C. W. Johnson and I. Stetcu, Phys. Rev. C 66, 064304 (2002)I. Stetcu and C. W. Johnson, Phys. Rev. C. 67, 043315 (2003) I. Stetcu and C. W. Johnson, Phys Rev. C 69, 024311 (2004)Johnson, Vazquez, and Stetcu, in preparation
This work was supported by grants from the Department of Energy
INT November 2004 2
ComputationalNuclear StructureMotivational Slide
ab initio methods
0hω shell model
density functionaltheory
INT November 2004 3
ComputationalNuclear Structure
Even MORE Motivation:
“We believe there are good prospects to develop a better global theory [of
nuclear energies] ...treating correlation energies by RPA.”*
ComputationalNuclear StructureSystematic Investigation of RPA
orOutline of my talk!
Review of RPA
Overview of previous “benchmarking” of RPA
Shell model context (in brief) and our code SHERPA
Four elemental tests:
(1) Correlation energies
(2) Scalar observables and “restoration of symmetries”
(3) Transitions in RPA and pnRPA and sum rules
(4) “Collapse” of RPA
Conclusions ... and future work
INT November 2004 5
ComputationalNuclear Structure
Review of RPARPA models excited states as small oscillations about the mean-field.
There are many ways to derive the random phase approximation (RPA):
eqns of motion, time-dependent Hartree-Fock, linear response...
INT November 2004 6
ComputationalNuclear Structure
The nuclear landscape
Hartree-Fock based upon variational principle:minimize ΨΨ H
Nc
ccc
M3
2
1 0s1/2, m=+ ½Here Ψ is a Slater determinant, a product of single-particle wfns which can be written as a vector :
0s1/2, m=- ½
0p3/2, m=+ 3/2
Find minimum on nuclear energy surface = Hartree-Fock!
INT November 2004 7
ComputationalNuclear Structure
The nuclear landscape
There are many ways to derive the random phase approximation (RPA):eqns of motion, time-dependent Hartree-Fock, linear response...
I prefer quantization of the energy surface:
2002
10 ))(()()( xxxVxVxV −′′+≈
ΨHF
We often approximate a potentialby a harmonic oscillator
INT November 2004 8
ComputationalNuclear Structure
The nuclear landscape
To parameterize the energysurface, exponentiate the particle-hole operator:
0* ˆˆexp Ψ
∑mi
immi aaZ )(Zr
Ψ=
Thouless’ theoremThen consider
)()(
)(ˆ)()(
ZZ
ZHZZE rr
rrr
ΨΨ
ΨΨ= Hartree-Fock energy
is at the minimum, Z=0
E(Z)This defines an energy surface:
INT November 2004 9
ComputationalNuclear Structure
The nuclear landscape
)()(
)(ˆ)()(
ZZ
ZHZZE rr
rrr
ΨΨ
ΨΨ=
( )
+=
****
21
)0(
ZZZZ
E
r
rrr
ABBA
We can expand to quadraticorder about Z=0:
We can treat this as a harmonic oscillatorby replacing numbers Z with (boson) operators b
( )
+=
++
bbbb
E
ˆˆˆˆ
)0(
**21
ABBA
INT November 2004 10
ComputationalNuclear Structure
The nuclear landscape
The final step (much math) is to write this in diagonal form:
( )∑ +Ω+− +
λλλλ ββ 2
121 ˆˆ)0( hATrE
∑ +−=mi
mimimi mibYbX ˆˆˆ
,, λλλβusing a Bogoliubov (quasiboson) transformation
Ω=
−− λ
λλ
λ
λ
YX
YX
r
r
hr
r
** ABBAand
The RPAmatrix equation
There is a correction to the Hartree-Fock energy due to “zero-point motion” or, correlations among the nucleons:
( )∑ Ω+−=λ
λ 21
21)0( hATrEERPA
INT November 2004 11
ComputationalNuclear Structure
Ami,nj= <m i-1| H | n j-1 >
= <ΨHF| a†i am H a†
n aj| ΨHF>
= matrix elements of H between 1p-1h states
Interpretation of matrix A:
Solving A alone is the Tamm-Dancoff Approximation (TDA)
Bmi,nj= <ΨHF| H | m i-1 n j-1 >
<ΨHF| H a†m ai a†
n aj| ΨHF>
= matrix elements of H between 2p-2h statesand the HF state
Interpretation of matrix B:
INT November 2004 12
ComputationalNuclear Structure
RPA as generalized harmonic oscillator
From the h.o. creation/annihilation operators βλ, β†
λ, we can go back to generalized coordinates/momenta Pλ, Qλ
2221
2ˆ
2
ˆλλλ
λ λ
λ QMMPH RPA Ω+=∑
Ω−≈Ψ ∑
λλ
λλ 2
2exp QM
RPAh
The RPA wfn can then be written as a Gaussian....IF Ωλ > 0
There can be zero-frequency modes...in the nuclear landscape, the HF energy does not change in those directions. These arise frombroken symmetries (translation, rotation).
Such zero-frequency modes must be treated with care...
INT November 2004 13
ComputationalNuclear Structure
Degenerate nuclear landscapes
translational
rotational
We will revisit this issuein a few minutes...
INT November 2004 14
ComputationalNuclear Structure
Historical validation of RPA
INT November 2004 15
ComputationalNuclear Structure
Benchmarking RPA
Despite its widespread use, RPA has generally been onlytested against toy models
A typical exampe are Lipkin-type models: Parikh & Rowe, Phys Rev 175 (1968) 1293Hagino & Bertsch, PRC C 61 (2000) 024307
acts like parity conservation
The 2-body interaction promotes or demotes 2 particles at a time2e
Your basic Lipkin model has only 2 independent parameters:N, the number of particles and ratio of 2-body to single-particlespitting, V/ε
N particles, each either up or down...simple quasispin Hamiltonian
These are read in to the program as a list of numbers
INT November 2004 21
ComputationalNuclear Structure
How a shell-model code works
The hard part is actually computing efficientlythe many-body matrix elements from the two-body matrix elements
The final result is the low-lying energy spectrumand the corresponding wavefunctions (the coefficients in the Slater determinant basis)
INT November 2004 22
ComputationalNuclear Structure
I have an idea! Let’s write an RPA code usingexactly the same shell-model input!
INT November 2004 23
ComputationalNuclear Structure
SHEll-model RPA code (Stetcu PhD LSU 2003)
Shell-model input compatible with REDSTICK:list of single-particle orbits (0s1/2, 0p3/2 etc.)list of two-body matrix elements < ab; JT |H|cd;JT >fair to compare output with REDSTICK results
Fully self-consistent Hartree-Fock:no restrictions on Slater determinant → arbitrary deformations within model space(except, wfns purely real)
Standard RPA:solve matrix RPA equationssee rotation of deformed HF state as zero-frequency modes;option to do pnRPA
INT November 2004 24
ComputationalNuclear Structure
The First Element:RPA Correlation Energies
(g.s. Binding energies beyond the mean-field)
INT November 2004 25
ComputationalNuclear Structure
Results: Correlation energies
−202468
∆E (
MeV
)
0369
2832
3436
20 2224
28
2426
NeMg
Si SAr
−3
0
3
6
∆E (
MeV
)
0
3
6
1921
2327
2123 23
25
29
25 27 27F
Ne NaMg Al
Si P S Cl
Ar29 31 33 2733
35 3537
Lower energies = HF+RPA correlation energy
Upper energies = HF energy
All energies relative to “exact” SM diagonalization g.s.
Poorest results for single-species calculations (oxygen, calcium isotopes)
no obvious correlation of error with:magnitude of deformation (results better for deformed than spherical)goodness of HF state (overlap with exact SM g.s.)
not clear that HFB+QRPA will improve the situation:if we set all pairing matrix elements = 0, results get worse.
INT November 2004 27
ComputationalNuclear Structure
The Second Element:Scalar observables
and “restoration” of broken symmetries
INT November 2004 28
ComputationalNuclear Structure
In the same way as computing the ground state correlation energy, one can derive RPA corrections to the g.s. expectation value of scalar (“Hamiltonian-like”) operators
Example: g.s. values of < J2 >, < Q2 >, < S2 > or < r2 >
This provides a useful test of RPA... for example, a deformed HF state has < J2 >HF ≠ 0.... is < J2 >HF+RPA = 0 ?
Remember: we expand these operators only to 2nd order
INT November 2004 29
ComputationalNuclear Structure
Results: g.s. expectation values
<J2>Nucleus HF RPA SM
20Ne 16.06 -0.45 024Mg 20.13 -2.52 0
23Na 19.42 11.87 3.7525Mg 23.87 14.51 8.75
22Na 25.57 14.57 1246V 39.56 20.00 0
20O 18.46 12.41 022O 0.00 7.99 0
Conclusion: RPA is often an improvement over HF, but not a great improvement
Notice unphysical value!
this is because of truncatingapproximation at 2nd order(not fully treating Pauli principle)
and (rarely) RPA can makeexpectation value worse
INT November 2004 30
ComputationalNuclear Structure
Hey! I’m sure I read somewherethat RPA “restores broken
symmetries”! What’s going on?Shouldn’t I get J2 exact?
A: RPA does “restore broken symmetries”but in a restricted fashionSpecifically, it restores the symmetry to the energy landscape
but not in the RPA wavefunction!
INT November 2004 31
ComputationalNuclear Structure
Remember the energy landscape
The Hartree-Fock energyis independent of orientation...
since TDA and RPA are expansionin all particle-hole excitations, this independence ought to be reflected as Goldstone modes(zero-energy excitations)
TDA does not yield Goldstone modes,
but RPA does...this is the restoration of the broken symmetry
INT November 2004 32
ComputationalNuclear Structure
What about the RPA wavefunction?
The RPA wavefunction is nota symmetry-projected wavefunction...
RPA is a perturbative expansion about the mean-field state...and so RPA only restores the symmetry in the vicinityof the mean-field state, not globally. (Marshalek & Weneser, Ann. Phys. (N.Y.) 53, 569 (1969))
Remember that RPA wavefunction is essentially a Gaussian(harmonic oscillator) so cannot model a global wfn for, say, linear momentum (plane wave) or angular momentum (Wigner D-function)
I have some ideas!
To truly restore a broken symmetry,one needs a global or topological approach....
Most likely explanation: pn-QRPA fails to sufficiently smear the Fermi surface insufficient fragmentation of GT strength
QRPA ≈ 2p-2hin spherical SM
Auerbach, Bertsch, Brown & Zhao, Nucl Phys A556 (1993) 190
INT November 2004 44
ComputationalNuclear Structure
Our Calculations: Deformed pn-RPA
We redid this work, eschewing pairing correlations in favorof unrestricted deformations
exact shell modelour pn-RPApn-QRPA (Lauritzen)
INT November 2004 45
ComputationalNuclear Structure
Our Calculations: Deformed pn-RPA
Clearly deformed pn-RPA is superior in total strength as well as general agreement
8 10 12 14 16 18 20E (MeV)
0
1
2
3
4
Σ B
(GT
)
-5 0 5 10 15 20 25E (MeV)
0
2
4
6
8
β+
β−
26Mg
exact shell modelour pn-RPA
pn-QRPA (Lauritzen)
Σ B
(GT
)
INT November 2004 46
ComputationalNuclear Structure
Our Calculations: Deformed pn-RPA
Not only deformation, but triaxiality improves the result
INT November 2004 47
ComputationalNuclear Structure
Our Calculations: Deformed pn-RPA2 8
10 15 20E (MeV)
0
1
Σ B
(GT
)
−10 0 10 20 30E (MeV)
0
2
4
6
Σ B
(GT
)β+β−
24Na
INT November 2004 48
ComputationalNuclear Structure
The Fourth Element:“Collapse” of RPA
at “phase transitions”
INT November 2004 49
ComputationalNuclear Structure
“Collapse” at “phase transitions”
Example from the Lipkin model....
0 0.5 1 1.5(N-1)V/e
-4.4
-4.2
-4
g.s.
ene
rgy
exact"HF""HF+RPA"
“spherical” “deformed”
Egs
“collapse” of RPA
INT November 2004 50
ComputationalNuclear Structure
“Collapse” at “phase transitions”
0 0.5 1 1.5(N-1)V/e
-4.4
-4.2
-4
g.s.
ene
rgy
exact"HF""HF+RPA"
“spherical” “deformed”
Egs
At the transition point several things happen:
-- At least one RPA frequency ⇒ 0-- the corresponding h-p amplitudes Ymi ⇒ ∞-- the correlation energy ⇒ - ∞
while other observables go to ±∞
“collapse” of RPA
INT November 2004 51
ComputationalNuclear Structure
“Collapse” at “phase transitions”
Do we see this with SHERPA?
We induced a shape transition in 28Si (which normally has an oblate HF state) by lowering the 0d5/2 single-particle energyuntil it became spherical
spherical deformed
No collapse of RPA! What’s going on?
INT November 2004 52
ComputationalNuclear Structure
“Collapse” at “phase transitions”
No collapse of RPA! What’s going on?
I know what’s happening! I wrote about it in D.Thouless, Nucl. Phys. 22, 78 (1961)
INT November 2004 53
ComputationalNuclear Structure
“Collapse” at “phase transitions”
There are first-order and second-order transitions!
First order: coexistence of stable solutions, no collapse
Second order: no coexistence collapse!!
INT November 2004 54
ComputationalNuclear Structure
“Collapse” at “phase transitions”
There are first-order and second-order transitions!
Even-parity transitions (such as quadrupole) should be first order!
First order: coexistence of stable solutions, no collapse
Second order: no coexistence = collapse!!
while odd-parity transitions should be
second order!
INT November 2004 55
ComputationalNuclear Structure
“Collapse” at “phase transitions”
Quadrupole shape transitions are first order
Lipkin model is 2nd order and is more analogous to mixing of parity across major shells
0 1 2 3 4 5 6shell separation (MeV)
-22
-21
-20
-19
-18
-17
-16
-15
-14
-13
-12
-11
-10
g.s.
ene
rgy
(MeV
)
exact (SM)HFHF+RPA
"16O"in p1/2-d5/2 space
0 1 2 3 4 5 6shell separation (MeV)
0
5
10
15
20
25
30
35
40
45
50
55
60
< Q
Q >
HFHF+RPA
16Oin p1/2-d5/2 space
Example: 0p1/2-0d5/2 model space displays true “collapse”
INT November 2004 56
ComputationalNuclear Structure
“Collapse” at “phase transitions”
Quadrupole shape transitions are first order
28Si in sd shell
INT November 2004 57
ComputationalNuclear Structure
CONCLUSIONS
We have realized RPA in a non-trivial shell model framework
Tests of RPA show it to be a modest approximation to the full many-body diagonalization
One should speak carefully of topics such as “symmetry restoration” and collapse in RPA
It may be interested to continue this work onto “extended” RPAand other approaches such as generator-coordinate(which may yield “fast, cheap” solutions with ab initio Hamiltonians)