Stochastic Mean Field (SMF) description

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Stochastic Mean Field (SMF) description Maria Colonna INFN - Laboratori Nazionali del Sud (Catania) March 27-30, 2017 FRIB-MSU, East Lansing, Michigan, USA TRANSPORT 2017

Transcript of Stochastic Mean Field (SMF) description

Page 1: Stochastic Mean Field (SMF) description

Stochastic Mean Field (SMF) description

Maria Colonna INFN - Laboratori Nazionali del Sud (Catania)

March 27-30, 2017 FRIB-MSU, East Lansing, Michigan, USA

TRANSPORT 2017

Page 2: Stochastic Mean Field (SMF) description

)(12,1'2')(2,2')ρ(1,1'ρ)(12,1'2'ρ 112 1,20 vHH

],δK[ρ]K[ρ1'|(t)]ρ,[H|1t),(1,1'ρt

i 11101

Dynamics of many-body system I

Mean-field Residual interaction

)||,( 2

1 vK F

),( vK F KK

Average effect of the residual interaction

one-body

Fluctuations

TDHF

0 K

one-body

density matrix two-body density matrix

o Mean-field (one-body) dynamics

o Two-body correlations

o Fluctuations

Page 3: Stochastic Mean Field (SMF) description

Dynamics of many-body systems II

-- If statistical fluctuations larger than quantum ones

Main ingredients: Residual interaction (2-body correlations and fluctuations)

In-medium nucleon cross section

Effective interaction

(self consistent mean-field) Skyrme, Gogny forces

)'()','(),( ttCtpKtpK

ff 1

Transition rate W

interpreted in terms of

NN cross section KCollision Integral

ˆ H

E

EeffH

Effective interactions

Energy Density Functional theories: The exact

density functional is approximated with powers and

gradients of one-body nucleon densities and currents.

Page 4: Stochastic Mean Field (SMF) description

The nuclear Equation of State (T = 0)

analogy with Weizsacker

mass formula for nuclei (symmetry term) !

β = asymmetry parameter = (ρn - ρp)/ρ ...

3)(

0

00

LSEsym

or J

expansion around normal density

Energy per nucleon E/A (MeV) Symmetry energy Esym (MeV)

)()()0,(),( 42 OEA

E

A

Esym

symm. matter symm. energy

stiff

soft poorly

known …

predictions of several

effective interactions

25 ≤ J ≤ 35 MeV 20 ≤ L ≤ 120 MeV

Page 5: Stochastic Mean Field (SMF) description

1. Semi-classical approximation to Nuclear Dynamics

Transport equation for the one-body distribution function f

Chomaz,Colonna, Randrup

Phys. Rep. 389 (2004)

Baran,Colonna,Greco, Di Toro

Phys. Rep. 410, 335 (2005)

0,

,,,,0

Hf

t

tprf

dt

tprdf

Semi-classical analog of the Wigner transform of the one-body density matrix

f = f (r,p,t) Phase space (r,p)

Vlasov Equation, like Liouville equation:

The phase-space density is

constant in time

Density

H 0 = T + U

Semi-classical approaches …

collcoll IfIhf

t

tprf

dt

tprdf

,

,,,,

Correlations,

Fluctuations

k δk

Vlasov

Semi-classical approximation transport theories

Boltzmann-Langevin

The mean-fiels potential U is self-consistent: U = U(ρ) Nucleons move in the field created by all other nucleons

Page 6: Stochastic Mean Field (SMF) description

From BOB to SMF ……

Fluctuations from external stochastic force (tuning of the most unstable modes)

Chomaz,Colonna,Guarnera,Randrup

PRL73,3512(1994)

Brownian One Body (BOB) dynamics

λ = 2π/k

multifragmentation

event

Page 7: Stochastic Mean Field (SMF) description

From BOB to SMF ……

Fluctuations from external stochastic force (tuning of the most unstable modes)

Stochastic Mean-Field (SMF) model :

Thermal fluctuations (at local equilibrium) are projected on the

coordinate space by agitating the spacial density profile

M.Colonna et al., NPA642(1998)449

Chomaz,Colonna,Guarnera,Randrup

PRL73,3512(1994)

Brownian One Body (BOB) dynamics

λ = 2π/k

multifragmentation

event

Page 8: Stochastic Mean Field (SMF) description

Details of the model

triangular function l = 1 fm

[

]

Total number of test particles: Ntot = Ntest * A

System total energy (lattice Hamiltonian):

lattice size

Page 9: Stochastic Mean Field (SMF) description

Potential energy

Symmetry energy parametrizations :

New Skyrme interactions

(SAMi-J family) recently introduced

Hua Zheng et al.

Negative surface term to correct surface effects

induced by the the use of finite width t.p. packets

β = asymmetry parameter

Page 10: Stochastic Mean Field (SMF) description

Test particle positions and momenta are propagated

according to the Hamilton equations

(non relativistic)

Ground state initialization with Thomas-Fermi o

o

Initialization and dynamical evolution

Page 11: Stochastic Mean Field (SMF) description

Details of the model: Collision Integral

Mean free path method :

each test particle has just one collision partner

Δt = time step

Free n-p and p-p cross sections, with a maximum cutoff of 50 mb

Page 12: Stochastic Mean Field (SMF) description

Fluctuation tuning

When local equilibrium is achieved:

F

T

V

2

32

Stochastic Mean-Field (SMF) model :

Fluctuations are projected on the coordinate space

by agitating the spacial density profile

Fluctuation variance

for a fermionic system at equilibrium

Page 13: Stochastic Mean Field (SMF) description

Some applications ……

Fragmentation studies

in central and semi-peripheral collisions

Small amplitude dynamics (collective modes)

and low-energy

reaction dynamics

Isospin effects at Fermi energies

stiff

soft

J. Rizzo et al., NPA(2008)

E. De Filippo et al., PRC(2012)

Data

- Calculations

Charge distribution

J.Frankland et al.,

NPA 2001

Hua Zheng et al.