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Microscopic description of fission process within the Nuclear Density Functional Theory

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Microscopic description of fission process within the Nuclear Density Functional Theory

Witold Nazarewicz

Topical FUSTIPEN Meeting on "Theory of Nuclear Fission"

GANIL, Caen, January 4-6, 2012

N,Z

elongation

necking

N=N1+N2

Z=Z1+Z2

split

N2,Z2

N1,Z1

- Introduction Nuclear Density Functional Theory
- Input
- Predictive capability and extrapolability
- Spontaneous fission
- Multimodal fission
- Compound nucleus fission
- Perspectives

Program announcement: Nuclear Density Functional Theory

Quantitative Large Amplitude Shape Dynamics:

fission and heavy ion fusion

Institute for Nuclear Theory, Seattle

September 23 – November 15, 2013

Organizers: W. Nazarewicz (witek@utk.edu), A. Andreyev, G. Bertsch, W. Loveland

- Main topics:
- Reevaluation of basic concepts
- Microscopic theory and phenomenological approaches
- Nuclear interactions and energy density functionals
- Time-dependent many-body dynamics
- Key experimental tests
- Experimental data needs
- Spectroscopic implications
- Computational methodologies for dynamics
- Quality data for nuclear applications.

Keywords: fission, fusion, shape coexistence, self-consistent mean field theory, nuclear density functional theory and its extensions, time dependent methods, adiabatic and diabatic dynamics, synthesis of superheavy elements, fission recycling in the r-process, stockpile stewardship, advanced fuel cycle

UTK/ORNL Team Nuclear Density Functional Theory

Witold Nazarewicz

PhD students: Jordan McDonnell, Nikola Nikolov

Postdocs: JochenErler, Junchen Pei

Visitors: AndrzejStaszczak, AndrzejBaran, Javid Sheikh, JanuszSkalski, Michal Warda

+ JacekDobaczewski, Arthur Kerman Nicolas Schunck, Patrick Talou (NEUP)

www.phys.utk.edu/witek/fission/fission.html

Funded 2003

Fellow: DOE NNSA SSGF

UNEDF

Physics of Nuclear Density Functional Theoryfission is demanding

Input

Forces, parameters

Many-body

dynamics

Open

channels

fission

… garbage in, garbage out…

Optimized Nuclear Density Functional TheoryFunctionals

Large-scale DFT

Collective dynamics

Confrontation with experiment; predictions

Numerical Techniques

INPUT Nuclear Density Functional Theory

Augmented Nuclear Density Functional TheoryLagrangian Method for Fission

A. Staszczak et al., Eur. Phys. J. A 46, 85 (2010)

The quadratic penalty method (QPM), frequently used in constrained DFT calculations for fission, often fails to deliver the requested average value of the collective operator with an acceptable accuracy. In the Augmented Lagrangian Method (ALM), a linear constraint is applied together with a quadratic penalty function, and this guarantees that the constrained calculations properly converge. The ALM has been implemented in UNEDF DFT solvers HFODD and HFBTHO solvers

A comparison between the ALM (black squares) and the standard QPM (open squares) for the constrained self-consistent convergence scheme. The DFT calculations were carried out for the total energy surface of 252Fm in a two-dimensional plane of elongation, Q20, and reflection-asymmetry, Q30. Although QPM often fails to produce a solution at the required values of constrained variables on a rectangular grid, ALM performs very well in all cases.

Two dimensional constrained calculations in a (Q20,Q30) plane for 252Fm performed with HFODD using the ALM. Compared with the standard quadratic penalty method, one can see interesting physics in the region which was inaccessible by the latter approach, namely the appearance of the second (fusion) valley at large values of Q30 separated from the spontaneous fission valley by a steep ridge.

fission isomer Nuclear Density Functional Theorybandhead

Surface symmetry energy and Nuclear Density Functional Theoryfission of neutron-rich nuclei

fissility parameter

N. Nikolov et al., Phys. Rev. C 83, 034305 (2011)

UNEDF1 functional: focus on heavy nuclei and fission Nuclear Density Functional Theory

Center-of-mass correction neglected

Data on fission isomers bandheads included

Coulomb exchange tested

PHYSICAL REVIEW A 83, 040001 (2011): Nuclear Density Functional TheoryEditorial: Uncertainty Estimates

The purpose of this Editorial is to discuss the importance of including uncertainty estimates in papers involving theoretical calculations of physical quantities.

It is not unusual for manuscripts on theoretical work to be submitted without uncertainty estimates for numerical results. In contrast, papers presenting the results of laboratory measurements would usually not be considered acceptable for publication in Physical Review A without a detailed discussion of the uncertainties involved in the measurements. For example, a graphical presentation of data is always accompanied by error bars for the data points. The determination of these error bars is often the most difficult part of the measurement. Without them, it is impossible to tell whether or not bumps and irregularities in the data are real physical effects, or artifacts of the measurement. Even papers reporting the observation of entirely new phenomena need to contain enough information to convince the reader that the effect being reported is real. The standards become much more rigorous for papers claiming high accuracy.

The question is to what extent can the same high standards be applied to papers reporting the results of theoretical calculations. It is all too often the case that the numerical results are presented without uncertainty estimates. Authors sometimes say that it is difficult to arrive at error estimates. Should this be considered an adequate reason for omitting them? In order to answer this question, we need to consider the goals and objectives of the theoretical (or computational) work being done.

(…) there is a broad class of papers where estimates of theoretical uncertainties can and should be made. Papers presenting the results of theoretical calculations are expected to include uncertainty estimates for the calculations whenever practicable, and especially under the following circumstances:

1. If the authors claim high accuracy, or improvements on the accuracy of previous work.

2. If the primary motivation for the paper is to make comparisons with present or future high precision experimental measurements.

3. If the primary motivation is to provide interpolations or extrapolations of known experimental measurements.

These guidelines have been used on a case-by-case basis for the past two years. Authors have adapted well to this, resulting in papers of greater interest and significance for our readers.

UNEDF1 functional: focus on heavy nuclei and fission Nuclear Density Functional Theory

Overall quality similar as UNEDF0

big improvement for fission

inner Nuclear Density Functional Theory

outer

Collective potential V(q) Nuclear Density Functional Theory

- Universal nuclear energy density functional is yet to be developed
- Choice of collective parameters
- How to define a barrier?
- How to connect valleys?
- Dynamical corrections going beyond mean field important
- Center of mass
- Rotational and vibrational
- (zero-point quantum
- correction)
- Particle number

Adiabatic Approaches to Fission Nuclear Density Functional Theory

WKB:

b

collective inertia (mass parameter)

Several collective coordinates

The action has to be minimized

multidimensional space of collective parameters

a

c

a

b

A. Baran et al., Nucl. Phys. A361, 83 (1981)

G Nuclear Density Functional Theoryeneralized HFB density matrix is expanded around the quasi-stationary HFB solution up to quadratic terms in the collective momentum

HFB Hamiltonian

Kinetic energy

Mass parameter

ATDHFB equation

ATDHFB equation in quasiparticle basis

ATDHFB equation in quasiparticle basis

Cranking approximation: Nuclear Density Functional Theory

time-odd interaction matrix is neglected

NEXT:

Examples Nuclear Density Functional Theory

Microscopic description of complex nuclear decay: Multimodal fission

- Staszczak, A.Baran, J. Dobaczewski, W.N., Phys. Rev. C 80, 014309 (2009)

Microscopic description of spontaneous fission fission

Two-dimensional total energy surface for 258Fm in the plane of two collective coordinates: elongation, Q20, and reflection-asymmetry, Q30. Dashed lines show the fission pathways: symmetric compact fragments (sCFs) and asymmetric elongated fragments (aEFs). Nuclear shapes are shown as three-dimensional images that correspond to calculated nucleon densities.

Two-dimensional total energy surface for 258Fm in the plane of two collective coordinates: elongation, Q20, and necking, Q40.

Summary of fission pathway results obtained in this study. Nuclei around 252Cf are predicted to fission along the asymmetric path aEF; those around 262No along the symmetric pathway sCF. These two regions are separated by the bimodal symmetric fission (sCF + sEF) around 258Fm. In a number of the Rf, Sg, and Hs nuclei, all three fission modes are likely (aEF + sCF + sEF; trimodal fission). In some cases, labeled by two-tone shading with one tone dominant, calculations predict coexistence of two decay scenarios with a preference for one. Typical nuclear shapes corresponding to the calculated nucleon densities are marked.

Calculated fission half lives of even-even fermium isotopes, with 242 ≤ A ≤ 260, compared with experimental data.

A. Staszczak et al. Phys. Rev. C 80, 014309 (2009)

Gogny fission (M. Warda)

SkM* (A. Staszczak)

SkM fission*

(J. Sheikh)

- Fission barriers of compound nuclei fission
- J. Pei, J. Sheikh, WN, A. Kerman, Phys. Rev. Lett. 102, 192501 (2009)
- J. Sheikh, WN, J. Pei, Phys. Rev. C 80, 011302(R) (2009)

Systematic Study of Fission Barriers of Excited fissionSuperheavy Nuclei

J. Sheikh, WN, J. Pei, Phys. Rev. C 80, 011302(R) (2009)

- Focus on:
- Mirror asymmetry and triaxiality at high temperatures
- Systematic analysis of barrier damping

J.D. fissionMcDonnell et al.

A highlight in 2011 SSAA Magazine!

Potential energy surfaces are calculated for the spontaneous fission of light actinides with (finite-temperature) HF+BCS theory. The fission path favors more symmetric scission configurations as excitation energy increases.

Example: Fission theory fission

Two DOE-sponsored workshops on exascale computing for nuclear physics, one common conclusion:

The microscopic description of nuclear fission is one of four Priority Research Directions.

“Understanding nuclear fission at a more comprehensive level is a critical problem in national security with important implications in nuclear materials detection and nuclear energy, as well as enhancing the quantitative understanding of nuclear weapons”

“The ultimate outcome of the nuclear fission project is a treatment of many-body dynamics that will have wide impacts in nuclear physics and beyond. The computational framework developed in the context of fission will be applied to the variety of phenomena associated with the large amplitude collective motion in nuclei and nuclear matter, molecules, nanostructures and solids”

Priority Research Direction fission: Fission Theory

Scientific and computational challenges

Summary of research direction

Scientific: Tunneling and time-dependent dynamics of complex heavy nuclei.

Computational: Implementation of highly nonlinear, nonlocal, multi-dimensional system of time-dependent integro-differential equations.

Develop efficient solvers for the time-dependent (deterministic and stochastic) nuclear superfluid density functional theory (DFT). Solve the multi-dimensional optimization problem for collective action. Develop algorithms to compute bounce trajectories in imaginary time.

Uncertainty quantification for complex nuclear processes.

Potential impact on Nuclear Physics Problems that arise in NNSA/ASC?

Expected Scientific and Computational Outcomes

Validate and predict fission cross sections, fragment mass and energy distributions.

Provide microscopic guidance (extrapolation capability) for phenomenological models of fission.

Microscopic input to materials damage simulations.

Neutron and photon spectra for stockpile simulation validation and nonproliferation.

Scientific: Microscopic description, based on realistic internucleon interactions, of nuclear fission process. Explanation of tunneling motion of a many-body system.

Computational: New fast multiresolution methods for the nuclear DFT. Implementation of new Importance Sampling Techniques for the time-dependent stochastic evolution equations.

Pre-Conclusions fission

- Quest for the universal interaction/functional
- The major challenge for low-energy nuclear theory

- Many-dimensional problem
- Tunneling of the complex system
- Coupling between collective and single-particle
- Time dependence on different scales

- All intrinsic symmetries broken
- Large elongations, necking, mass asymmetry, triaxiality, time reversal (odd, odd-odd systems),…

- Correlations important
- Pairing makes the LACM more adiabatic. Quantum corrections impact dynamics.

Conclusions fission

- Fission is a fundamental many-body phenomenon that possess the ultimate challenge for theory
- Understanding crucial for many areas:
- Nuclear structure and reactions (superheavies)
- Astrophysics (n-rich fission and fusion, neutrino-induced fission)
- Numerous applications (energy, AFC, Stockpile Stewardship…)
- …

- The light in the end of the tunnel: coupling between modern microscopic many-body theory and high-performance computing

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