Work of the All-Russian Scientific Research Institute of Automatics with the U.S. Laboratory-to-Laboratory Program for Cooperation on Nuclear Materials Protection, Control, and Accounting

Year
1996
Author(s)
John Smoot - Pacific Northwest National Laboratory
Alan M. Bieber - Brookhaven National Laboratory
J.R. Phillips - Los Alamos National Laboratory
James D. Williams - Sandia National Laboratories
M. Ehinger - Oak Ridge National Lab
Nikolay Isaev - All-Russian Institute of Automatics
Wayne Ruhter - Lawrence Livermore National Laboratory
James R. Griggs - Pacific Northwest National Laboratory
Hiroshi Hoida - Los Alamos National Laboratory
Andrey I. Zotov - All-Russian Institute of Automatics
Abstract
The All-Russian” Scientific Research Institute of Automatics (VNIL4) is one of the scientific research institutes participating in the U.S./Russian Laboratory-to-Laboratory Program in Nuclear Materials Protection, Control, and Accounting (MPC&A). The Institute has provided instrumentation and measurement techniques to the Russian defense program and to the medical, gas and oil, and manufacturing industries. VNIIA is improving MPC&A in Russia by providing support to the Russian institutes and enterprises in the Ministry of Atomic Energy. VNIIA has a primary role in determining the requirements ad specifications and developing procedures for testing and certification of MPC&A equipment, and is instrumental in strengthening the Russian infrastructure for supplying MPC&A equipment. Contracts have been placed with VNIIA by Russian suppliers to test, certify, and prepare for manufacturing hand-held special nuclear material detection equipment they have developed. A contract also is in place with VNIIA to test and evaluate a U.S.-manufactured pedestrian portal monitor. Work for 1996 includes certifying these portal monitors and portable radiation detection equipment for use in Russian facilities, testing and evaluating a U.S. active well coincidence counter and gamma-ray isotopic measurement methods, and developing guidelines for statistical evaluation methods used in MPC&A. This paper reviews the status of this effort and describes the plans for continuing this work in 1996.