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The National Superconducting Cyclotron Laboratory
Working group on Fragments/Theory: Comparison of statistical models for fragment production Betty Tsang WCI 2005 Texas A & M Feb 12-16, 2004 The National Superconducting Cyclotron Laboratory @Michigan State University
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Resource Letters in Frontiers in Physics, AJP, 72(2004)
“Going up in Ex … one comes to a domain where the nuclei produced in the reaction have time to equilibrate and are best described with statistical concepts.” Resource Letters in Frontiers in Physics, AJP, 72(2004) The successful use of statistical models to describe nuclear reactions and provide insights to the physics of Multifragmentation is an achievement in our field.
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Limited Goals To compare different statistical models for multifragmentation. 3 Bench-mark systems; E*/A=5 MeV, r/ro=1/3 A=186, Z=75, N/Z=1.48 A=168, Z=75, N/Z=1.24 A=168, Z=84, N/Z=1.0 To test out different after-burners 2 Bench-mark systems; E*/A=2 MeV
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Disclaimer The results presented here have not been discussed in detail with the relevant persons. (authors, users)
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Program codes I. Fragment production codes and corresponding users
1) Statistical Multifragmentation Models : a. Bougault: SMM95 by Botvina et al b. Souza : ISMM – microcanonical by Souza & Donangelo c. Tsang : ISMM – canonical by Das Gupta 2) Friedman : EES by Friedman 3) Raduta / Alexandru & Adriana : MMM by Raduta’s 4) Lefevre : MMMC by Gross 5) Regnard : (LG-Caen) LGM by Gulminelli 6) Trautmann : QSM by Stoecker 7) Colonna: BNV in a box by Colonna II. After-Burner: 1) Charity: Gemini by Charity 2) Wada : Texas A&M Gemini+ by Wada 3) Durand : Simon by Durand 4) Tsang : MSU decay by Tan
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Observable used in comparisons
<NIMF> A & Z distributions Isotope Distributions : Centroid & widths N/Z distributions Isoscaling Isotope thermometers (Albergo temperatures) To test the after-burners … Effect from primary to secondary decays
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Final Primary
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Final Primary
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<NIMF> Common Features: sequential decays reduce the multiplicities -- Except SMM95 Similar values of <N_IMF> Low values: LP-Caen High values : QSM – no heavy fragments Indication of larger multiplicity with neutron-poor emitting systems ?
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A & Z Distributions Similar general trends but differ in details
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Isotope distributions
Effects of sequential decay on isoscaling Primary (wider) Final (narrower )
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Isoscaling in statistical models
Primary distributions show good isoscaling A2=186, Z2=75; A1=168, Z1=75 WCI statistical model working group (2004)
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Effects of sequential decay on isoscaling
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Effects of Sequential decays on alpha
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BNV in a box The isoscaling occurs over four orders of magnitude while the range is 2 order of magnitude for other statistical model. a(BNV) is about factor of 10 larger.
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Temperature determined from Isotope yield ratio (Albergo temperatures)
Not used as temperatures but test for sequential decays from the fluctuations. Fragment yield ratios e.g. (3He/4He)/(6Li/7Li) -7 -5 -3 3He 4He (3He/4He)/(9Be/10Be) (3He/4He)/(12C/13C) (11C/12C)/(6Li/7Li) (11C/12C)/(9Be/10Be) 6Li Binding Energy 7Li g.s. assumed
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Program codes I. Fragment production codes and corresponding users
1) Statistical Multifragmentation Models : a. Bougault: SMM95 by Botvina b. Souza : ISMM – microcanonical by Souza c. Tsang : ISMM – canonical by Das Gupta 2) Friedman : EES by Friedman 3) Raduta / Alexandru & Adriana : MMM by Raduta’s 4) Lefevre : MMMC by Gross 5) Regnard : (LG-Caen) LGM by Gulminelli 6) Trautmann : QSM by Stoecker 7) BNV in a box by Colona* II. After-Burner: 1) Charity: Gemini by Charity 2) Wada : Texas A&M Gemini+ by Wada 3) Durand : Simon by Durand 4) Tsang : MSU decay by Tan
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Summary Most “SMM” models are good for predicting gross features but details required “fitting” to data. Some models may not be good to reproduce experimental data but may be used to provide physics insights. Files and figures are available in the WCI strategy web site. Need the insights and inputs from the code owner and users to sort out the differences
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