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Microscopic-macroscopic approach to the nuclear fission process
Aleksandra Kelić, Maria Valentina Ricciardi, Karl-Heinz Schmidt GSI – Darmstadt - Motivation - Mass and charge division in fission - ABLA07 - Comparison with experimental data
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Motivation RIB production (fragmentation method, ISOL method),
Spallation sources and ADS Data measured at FRS* * Ricciardi et al, PRC 73 (2006) ; Bernas et al., NPA 765 (2006) 197; Armbruster et al., PRL 93 (2004) ; Taïeb et al., NPA 724 (2003) 413; Bernas et al., NPA 725 (2003) 213 Challenge - need for consistent global description of low- and high-energy fission and evaporation
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Motivation Astrophysics - r-process and nucleosynthesis
-Trans-uranium elements 1) - r-process endpoint 2) - Fission cycling 3) 1) Cowan et al, Phys. Rep. 208 (1991) 267; 2) Panov et al., NPA 747 (2005) 633 3) Seeger et al, APJ 11 Suppl. (1965) S121 4) Rauscher et al, APJ 429 (1994) 49 Challenge - fission properties (e.g. fission barriers, fission-fragment distributions) for nuclei not accessible in laboratory.
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What do we need? Fission competition in de-excitation of excited nuclei E* • Fission barriers Fragment distributions • Level densities • Nuclear viscosity Particle-emission widths
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Mass and charge division in fission
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Experimental information - High energy
In cases when shell effects can be disregarded, the fission-fragment mass distribution is Gaussian Data measured at GSI: T. Enqvist et al, NPA 686 (2001) 481 (see Large systematic on sA by Rusanov et al, Phys. At. Nucl. 60 (1997) 683
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Experimental information - Low energy
Particle-induced fission of long-lived targets and spontaneous fission: - A(E*) in most cases - A and Z distributions of light fission group only in the thermal-neutron induced fission on the stable targets EM fission of secondary beams at GSI: - Z distributions at "one" energy Transition from single-humped to double-humped explained by macroscopic and microscopic properties of the potential-energy landscape near outer saddle.
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Basic assumptions Macroscopic part:
Given by properties of fissioning nucleus Potential near saddle from exp. mass distributions at high E* (1): Microscopic part: Shells near outer saddle "resemble" shells of final fragments (but weaker) (2) Properties of shells from exp. nuclide distributions at low E* N 82 N 88 Dynamics: Approximations based on Langevin calculations (3): Mass asymmetry: decision near outer saddle N/Z: decision near scission (1) Rusanov et al, Phys. At. Nucl. 60 (1997) 683 (2) Maruhn and Greiner, PRL 32 (1974) 548; Pashkevich, NPA 477 (1988) 1; Pashkevich et al. (3) P. Nadtochy, private communiation
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Macroscopic-microscopic approach
Model parameters: Curvatures, strengths and positions of two microscopic contributions as free parameters These 6 parameters are deduced from the experimental fragment distributions and kept fixed for all systems and energies. For each fission fragment we get: Mass Nuclear charge Kinetic energy Excitation energy Number of emitted particles N 82 N 88
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ABLA07 - evaporation/fission model
Evaporation stage - Emission of IMFs (sequential and simultaneous) (Poster: M.V. Ricciardi) - Particle decay widths: - energy-dependent inverse cross sections based on nuclear potential - thermal expansion of emitting source - angular momentum in particle emission - g-emission at energies close to the particle threshold (A.V. Ignatyuk, 2002) Fission - Influence of nuclear viscosity on the fission decay width: - analytical time-dependent approach (B. Jurado et al, 2003) - influence of initial conditions - Particle emission on different stages of the fission process
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Comparison with data - With a fixed set of model parameters -
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Fission of secondary beams after the EM excitation
Black - experiment (Schmidt et al, NPA 665 (2000)) Red - calculations 89Ac 90Th 91Pa 92U 131 135 134 133 132 136 137 138 139 140 141 142 With the same parameter set for all nuclei!
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Neutron-induced fission of 238U for En = 1.2 to 5.8 MeV
Data - F. Vives et al, Nucl. Phys. A662 (2000) 63; Lines – ABLA07 calculations
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ABLA07 – IMF emission Exp - R.Michel et al., NIM B129 (1997) 153
Calculations – BURST+ABLA, BURST+ABLA07
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ABLA07 - Particle decay width
exp - R.Michel et al., NIM B103; C.M.Herbach et al., Proc. of the SARE-5 meeting, 2000 BURST+ABLA07 – Only contribution from evaporation
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More complex scenario 238U+p at 1 A GeV
Model calculations (BURST+ABLA07): Experimental data:
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Conclusions - Good description of mass and charge division in low-energy fission based on a macroscopic-microscopic approach - Good descriptions of more complex scenarios (i.e. spallation reactions) Allows for robust extrapolation in experimentally unexplored regions. - Next step – coupling with INCL4.4
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Additional slides
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Experimental survey at GSI by use of secondary beams
Basic idea Experimental survey at GSI by use of secondary beams K.-H. Schmidt et al., NPA 665 (2000) 221 How do we get information on micro macro...? - Transition from single-humped to double-humped explained by macroscopic and microscopic properties of the potential-energy landscape near outer saddle.
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ABLA07 – Low-energy fission
Test of the fission part Fission probability 235Np Data (A. Gavron et al., PRC13 (1976) 2374) ABLA07
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Comparison with data - spontaneous fission
Experiment Calculations (experimental resolution not included)
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ABLA07 Test of the evaporation part 56Fe (1 A GeV) + 1H
Data (C. Villagrasa et al, P. Napolitani et al) INCL4+ABLA07
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Particle emission widths
Extended Weißkopf-Ewing formalism Barriers based on Bass potential (empirically deduced from fusion) Inverse cross section energy-dependent inverse cross sections → ingoing-wave boundary condition model tunnelling through the barrier Angular momentum change in angular momentum due to particle emission
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IMF Emission All nuclei below the Businaro-Gallone maximum of the mass-asymmetry dependent barrier are taken into account in the evaporation process natural transition between fission and evaporation picture. The barriers are given by the Bass nuclear potential.
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Theory Strutinsky-type calculations of the potential-energy landscape (e.g. P. Möller) + Good qualitative overview on multimodal character of fission. - No quantitative predictions for fission yields. - No dynamics Statistical scission-point models (e.g. Fong, Wilkins et al.) + Quantitative predictions for fission yields. - No memory on dynamics from saddle to scission. Statistical saddle-point models (e.g. Duijvestijn et al.) - Neglecting dynamics from saddle to scission. - Uncertainty on potential energy leads to large uncertainties in the yields. Time-dependent Hartree-Fock calculations with GCM (Goutte) + Dynamical and microscopic approach. - No dissipation included. - High computational effort.
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