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Program - Brookhaven National Laboratory

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Shielding objects are assembled from building blocks using a dry process; their stability is ensured by a<br />

system of locks. The objects can be therefore dismounted and the building blocks re-used. Individuals<br />

may handle the different types of components, including drop ceilings with a high loading capacity. The<br />

concentration of radon, thoron and their decay products inside the objects may be reduced by using<br />

filtering and ventilation equipment that provides a mild internal excess pressure. Shielding materials<br />

are suitable in particular for the measurement of materials, substances and objects with a low content<br />

of radionuclides in laboratories and technological facilities, where a low background radiation has to be<br />

achieved, e.g. for measurements during the release of a large quantity of waste when old nuclear facilities are<br />

dismounted. The contribution describes the results of measurement in the selection of suitable aggregate<br />

and other components originating from paleozoic geological formations, the results of optimization of<br />

the composite mixture and the geometry of building components, the method of preparation of different<br />

types of construction materials and components, the results of measurement of the internal content of<br />

natural radionuclides contained in the individual types, the results of measurement of the shielding abilities,<br />

including a comparison with metal shielding and practical examples for use.<br />

PR 21<br />

Cross-checking of Large Evaluated and Experimental Databases<br />

E. Dupont, N. Soppera, M. Bossant, Nuclear Energy Agency, Organisation for Economic Co-operation<br />

and Development. O. Zeydina, D. Raffanel, B. Beauzamy, Societe de Calcul Mathematique, Paris, France.<br />

The Nuclear Energy Agency (NEA) Data Bank maintains large nuclear databases and makes them available<br />

to scientists and engineers through the web and the JANIS software, which facilitates the visualisation,<br />

comparison and manipulation of nuclear physics data. Recent development and implementation at the<br />

NEA Data Bank of methods for the verification of large experimental and evaluated databases are presented.<br />

This work is a follow up of activities initiated in the framework of Subgroup 30 of the NEA<br />

Working Party on International Nuclear Data Evaluation Co-operation, WPEC SG30, which was established<br />

to improve the accessibility and the quality of the EXFOR experimental nuclear reaction database<br />

[1]. In line with SG30 recommendations, the NEA Data Bank and the Societe de Calcul Mathematique codeveloped<br />

statistical methods to (i) assess the self-consistency of experimental or evaluated data, (ii) assess<br />

the consistency between experimental and evaluated data. These methods allow to assess the quality of<br />

the data and to detect aberrant values in large databases. An outline of the procedure to check the mutual<br />

consistency of experimental data for a given quantity is described in reference [2]. The focus of the present<br />

contribution is to describe the method developed to check the mutual consistency of data from different<br />

evaluated libraries (ENDF/B, JEFF, JENDL, TENDL, etc.) and to cross-check these evaluated data with<br />

experimental data (EXFOR). This approach aims to use the valuable information stored in evaluated files<br />

in order to assess the quality of some experimental data. In a complementary way, this cross-checking<br />

helps assess the quality of evaluated data by comparison with recommended experimental data and helps<br />

identify flaws in evaluated data files. The performance of this method on a selection of about two hundred<br />

test cases is discussed and results obtained using large experimental and evaluated databases hosted at the<br />

NEA Data Bank are presented.<br />

[1] Quality improvement of the EXFOR database, International Evaluation Co-operation, Volume 30,<br />

OECD/NEA, 2011 (www.oecd-nea.org/science/wpec) [2] Statistical methods for the verification of databases,<br />

NEA News Magazine, No. 29.1, p.30, June 2011 (www.oecd-nea.org/nea-news)<br />

PR 22<br />

272

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