Home Improved data evaluation methodology for energy ranges with missing experimental data
Article
Licensed
Unlicensed Requires Authentication

Improved data evaluation methodology for energy ranges with missing experimental data

  • A. Yu. Konobeyev , U. Fischer and R. Capote
Published/Copyright: June 26, 2015
Become an author with De Gruyter Brill

Abstract

A number of improvements of the data evaluation concerning nuclear model calculations and evaluation procedures are considered. A promising combination of the hybrid Monte Carlo simulation model of M. Blann for the modelling of non-equilibrium particle emission and the Hauser-Feshbach model, and a possible correction of simulations using intranuclear cascade evaporation model are discussed. In the last case the modelling of particle emission is improved by the consideration of nucleon-cluster interactions. The approach for reliable predictions of cross-sections using “optimal” nuclear model parameters and the method of their generation is discussed.

Kurzfassung

Eine Reihe von Verbesserungen der Datenauswertung mit Hilfe von Kernmodell-Rechnungen und der Auswertungsverfahren werden diskutiert. Eine viel-versprechende Kombination des Hybrid-Monte-Carlo-Simu-lationsmodells von M. Blann für die Modellierung der Vorgleichgewichts-Teilchenemission und des Hauser-Feshbach-Modells und eine Verbesserung der Simulation mit Hilfe des intranuklearen Kaskaden-Verdampfungsmodells werden erörtert. Im letzten Fall wird die Simulation der Teilchenemission durch die Berücksichtigung der Nukleon-Cluster-Wechsel-wirkung verbessert. Ein Ansatz für die zuverlässigen Vorher-sagen der Wirkungsquerschnitte mit Hilfe der „optimalen“ Kernmodellparameter und deren Bestimmungsmethode wird diskutiert.


* Corresponding author: E-mail:

References

1 Evaluated Nuclear Data File, http://www.nndc.bnl.gov/exfor/endf.htmSearch in Google Scholar

2 Koning, A.; Hilaire, S.; DuijvestijnM.: TALYS-based evaluated nuclear data library, http://www.talys.eu/home/Search in Google Scholar

3 Blann, M.; Vonach, H. K.: Global test of modified precompound decay models. Phys. Rev. C28 (1983) 147510.1103/PhysRevC.28.1475Search in Google Scholar

4 Young, P. G.; Arthur, E. D.; Chadwick, M. B.: Comprehensive nuclear model calculations: introduction to the theory and use of the GNASH Code, LA-12343-MS (1992)Search in Google Scholar

5 Koning, A. J.; Duijvestijn, M. C.: A global pre-equilibrium analysis from 7 to 200 MeV based on the optical model potential. Nucl. Phys.A74415 (2004) 157610.1016/j.nuclphysa.2004.08.013Search in Google Scholar

6 Bisplinghoff, J.: Configuration mixing in preequilibrium reactions: A new look at the hybrid-exciton controversy. Phys. Rev. C33 (1986) 156910.1103/PhysRevC.33.1569Search in Google Scholar PubMed

7 Soares Pompeia, C. A.; Carlson, B. V.: Configuration mixing in pre-equilibrium reactions. Phys. Rev. C.74 (2006) 05460910.1103/PhysRevC.74.054609Search in Google Scholar

8 Soares Pompeia, C. A.; Carlson, B. V.; Guimarães, F. B.: Configuration mixing in nucleon-induced pre-equilibrium reactions. Int. Conf. Nucl. Data for Sci. and Technology, Nice, France (2007) 05410.1051/ndata:07744Search in Google Scholar

9 Blann, M.: New precompound decay model. Phys. Rev. C54 (1996) 134110.1103/PhysRevC.54.1341Search in Google Scholar

10 Avrigeanu, M.; Avrigeanu, V.: STAPRE-H95, NEA Data Bank, IAEA0971, 1996Search in Google Scholar

11 Herman, M.; Capote, R.; Carlson, B. V.; Obložinský, P.; Sin, M.; Trkov, A.; Wienke, H.; Zerkin, V.: EMPIRE: Nuclear reaction model code system for data evaluation, Nucl. Data Sheets108 (2007) 265510.1016/j.nds.2007.11.003Search in Google Scholar

12 Konobeyev, A. Yu.; Fischer, U.; Koning, A. J.; Pereslavtsev, P. E.; Blann, M.: Implementation of the geometry dependent hybrid model in TALYS, Int. Conf. Nucl. Data for Sci. and Technology, Jeju Island, Korea (2010)Search in Google Scholar

13 Blann, M. et al.: ALICE2010, Particle spectra from HMS precompound nucleus decay, USCD1238, http://www.oecd-nea.org/tools/abstract/detail/uscd1238Search in Google Scholar

14 Koning, A. J.; Hilaire, S.; Duijvestijn, M. C.: TALYS-1.0, Int. Conf. Nucl. Data for Sci. and Technology, Nice, France (2007) 05810.1051/ndata:07767Search in Google Scholar

15 David, J.-C.; Filges, D.; Leray, S.; Mank, G.; Yariv, Y.; Otsuka, N.: IAEA benchmark of spallation models, https://www-nds.iaea.org/spallations/Search in Google Scholar

16 Broeders, C. H. M.; Konobeyev, A. Yu.; Korovin, A. Yu.; SosninV. N.: DISCA – Advanced intranuclear cascade cluster evaporation model code system for calculation of particle distributions and cross sections at emitted particles in nuclear reactions at intermediate energies, Forschungszentrum Karlsruhe Report, FZKA 7221 (2006), http://bibliothek.fzk.de/zb/berichte/FZKA7221.pdfSearch in Google Scholar

17 Iwamoto, A.; Harada, K.: Mechanism of cluster emission in nucleon-induced reequilibrium reactions. Phys. Rev. C26 (1982) 182110.1103/PhysRevC.26.1821Search in Google Scholar

18 Cowley, A. A.; van KentA.; Lawrie, J. J.; Förtsch, S. V.; Whittal, D. M.; Pilcher, J. V.; Smit, F. D.; Richter, W. A.; Lindsay, R; van Heerden, I. J.; Bonetti, R.; Hodgson, P. E.: Phys. Rev. C43 (1991) 67810.1103/PhysRevC.43.678Search in Google Scholar

19 Broeders, C. H. M.; Konobeyev, A. Yu.: Evaluation of 4He production cross-section for tantalum, tungsten and gold irradiated with neutrons and protons at the energies up to 1 GeV. Nucl. Instr. Meth. Phys. Res. B234 (2005) 38710.1016/j.nimb.2005.02.029Search in Google Scholar

20 Konobeyev, A. Yu.; Fischer, U.; Pereslavtsev, P. E.: Computational approach for evaluation of nuclear data including covariance information, Int. Conf. Nucl. Data for Sci. and Technology, Jeju Island, Korea (2010)Search in Google Scholar

21 Konobeyev, A. Yu.; Fischer, U.; Koning, A. J.; Leeb, H.; Leray, S.; Yariv, Y.: What Can We Expect from the Use of Nuclear Models Implemented in MCNPX at Projectile Energies below 150 Mev? Detailed Comparison with Experimental Data, Int. Conf. Nucl. Data for Sci. and Technology, Jeju Island, Korea (2010)10.3938/jkps.59.927Search in Google Scholar

22 Hastings, W. K.: Monte Carlo Sampling Methods Using Markov Chains and Their Applications. Biometrika57 (1970) 9710.1093/biomet/57.1.97Search in Google Scholar

23 Capote, R.; Smith, D. L.: An Investigation of the Performance of the Unified Monte Carlo Method of Neutron Cross Section Data Evaluation. Nuclear Data Sheets109 (2008) 276810.1016/j.nds.2008.11.007Search in Google Scholar

24 Michel, R.; Bodemann, R.; Busemann, H.; Daunke, R.; Gloris, M.; Lange, H.-J.; Klug, B.; Krins, A.; Leya, I.; Lüpke, M.; Neumann, S.; Reinhardt, H.; Schnatz-Büttgen, M.; Herpers, U.; Schiekel, Th.; Sudbrock, F.; Holmqvist, B.; Condé, H.; Malmborg, H.; Suter, M.; Dittrich-Hannen, B.; Kubik, P.-W.; Synal, H.-A.; Filges, D.: Cross sections for the production of residual nuclides by low- and medium-energy protons from the target elements C, N, O, Mg, Al, Si, Ca, Ti, Mn, Fe, Co, Ni, Cu, Sr, Y, Zr, Nb, Ba and Au.Nucl. Instr. Meth. Phys. Res.B129 (1997) 15310.1016/S0168-583X(97)00213-9Search in Google Scholar

25 Konobeyev, A. Yu.; Broeders, C. H. M.; Fischer, U.; Mercatali, L.: Uncertainty in activation cross-section calculations at intermediate proton energies. Kerntechnik25 (2008) 4910.3139/124.100534Search in Google Scholar

26 Broeders, C. H. M.; Konobeyev, A. Yu.; Korovin, Yu. A.; Lunev, V. P.; Blann, M.: ALICE/ASH – Pre-compound and evaporation model code system for calculation of excitation functions, energy and angular distributions of emitted particles in nuclear reactions at intermediate energies. Report FZKA 7183 May, 2006, http://bibliothek.fzk.de/zb/berichte/FZKA7183.pdfSearch in Google Scholar

Received: 2015-02-25
Published Online: 2015-06-26
Published in Print: 2015-07-25

© 2015, Carl Hanser Verlag, München

Downloaded on 5.10.2025 from https://www.degruyterbrill.com/document/doi/10.3139/124.110531/html
Scroll to top button