The results presented here were obtained with a self-magnetic pinch (SMP) diode mounted at the front high voltage end of the RITS accelerator. RITS is a Self-Magnetically Insulated Transmission Line (MITL) voltage adder that adds the voltage pulse of six 1.3 MV inductively insulated cavities. The RITS driver together with the SMP diode has produced x-ray spots of the order of 1 mm in diameter and doses adequate for the radiographic imaging of high area density objects. Although, through the years, a number of different types of radiographic electron diodes have been utilized with SABER, HERMES III and RITS accelerators, the SMP diode appears to be the most successful and simplest diode for the radiographic investigation of various objects. Our experiments had two objectives: first to measure the contribution of the back-streaming ion currents emitted from the anode target and second to try to evaluate the energy of those ions and hence the Anode-Cathode (A-K) gap actual voltage. In any very high voltage inductive voltage adder utilizing MITLs to transmit the power to the diode load, the precise knowledge of the accelerating voltage applied on the A-K gap is problematic. This is even more difficult in an SMP diode where the A-K gap is very small (∼1 cm) and the diode region very hostile. The accelerating voltage quoted in the literature is from estimates based on the measurements of the anode and cathode currents of the MITL far upstream from the diode and utilizing the para-potential flow theories and inductive corrections. Thus, it would be interesting to have another independent measurement to evaluate the A-K voltage. The diode's anode is made of a number of high-Z metals in order to produce copious and energetic flash x-rays. It was established experimentally that the back-streaming ion currents are a strong function of the anode materials and their stage of cleanness. We have measured the back-streaming ion currents emitted from the anode and propagating through a hollow cathode tip for various diode configurations and different techniques of target cleaning treatment: namely, heating at very high temperatures with DC and pulsed current, with RF plasma cleaning, and with both plasma cleaning and heating. We have also evaluated the A-K gap voltage by energy filtering technique. Experimental results in comparison with LSP simulations are presented.
The goal of this project is to develop and execute methods for characterizing uncertainty in data products that are deve loped and distributed by the DOE Consequence Management (CM) Program. A global approach to this problem is necessary because multiple sources of error and uncertainty from across the CM skill sets contribute to the ultimate p roduction of CM data products. This report presents the methods used to develop a probabilistic framework to characterize this uncertainty and provides results for an uncertainty analysis for a study scenario analyzed using this framework.
The Federal Radiological Monitoring and Assessment Center (FRMAC) relies on accurate and defensible analytical laboratory data to support its mission. Therefore, FRMAC must ensure that the environmental analytical laboratories providing analytical services maintain an ongoing capability to provide accurate analytical results to DOE. It is undeniable that the more Quality Assurance (QA) and Quality Control (QC) measures required of the laboratory, the less resources that are available for analysis of response samples. Being that QA and QC measures in general are understood to comprise a major effort related to a laboratory’s operations, requirements should only be considered if they are deemed “value-added” for the FRMAC mission. This report provides observations of areas for improvement and potential interoperability opportunities in the areas of Batch Quality Control Requirements, Written Communications, Data Review Processes, Data Reporting Processes, along with the lessons learned as they apply to items in the early phase of a response that will be critical for developing a more efficient, integrated response for future interactions between the FRMAC and EPA assets.
This goal of this project is to address the current inability to assess the overall error and uncertainty of data products developed and distributed by DOE’s Consequence Management (CM) Program.
From June 24th thru June 26th 2014, members of the Federal Radiological Monitoring and Assessment Center (FRMAC), FRMAC Fly Away Laboratory, and the Environmental Protection Agency (EPA) participated in a joint nuclear incident emergency response/round robin exercise at the EPA facility in Las Vegas, Nevada. The purpose of this exercise was to strengthen the interoperability relationship between the FRMAC Fly Away Laboratory (FAL) and the EPA Mobile Environmental Radiation Laboratory (MERL) stationed in Las Vegas, Nevada. The exercise was designed to allow for immediate delivery of pre-staged, spiked samples to the EPA MERL and the FAL for sample preparation and radiological analysis. Upon completion of laboratory analysis, data was reviewed and submitted back to the FRMAC via an electronic data deliverable (EDD). In order to conduct a laboratory inter-comparison study, samples were then traded between the two laboratories and re-counted. As part of the exercise, an evaluation was conducted to identify gaps and potential areas for improvements for FRMAC, FAL and EPA operations. Additionally, noteworthy practices and potential future areas of interoperability opportunities between the FRMAC, FAL and EPA were acknowledged. The exercise also provided a unique opportunity for FRMAC personnel to observe EPA sample receipt and sample preparation processes and to gain familiarity with the MERL laboratory instrumentation and radiation detection capabilities. The areas for potential improvements and interoperability from this exercise will be critical for developing a more efficient, integrated response for future interactions between the FRMAC and EPA MERL assets.
From June 9th thru June 13th 2014, members of the Federal Radiological Monitoring and Assessment Center (FRMAC), the Environmental Protection Agency (EPA) and the Department of Energy Radiological Assistance Program (DOE RAP) Region-3 participated in a joint nuclear incident emergency response exercise at the Savannah River Site (SRS) near Aiken, South Carolina. The purpose of this exercise was to strengthen the interoperability relationship between the FRMAC, RAP, and the EPA Mobile Environmental Radiation Laboratory (MERL) stationed in Montgomery, Alabama. The exercise was designed to allowed members of the DOE RAP Region-3 team to collect soil, water, vegetation and air samples from SRS and submit them through an established FRMAC hotline. Once received and processed through the hotline, FRMAC delivered the samples to the EPA MERL for sample preparation and laboratory radiological analysis. Upon completion of laboratory analysis, data was reviewed and submitted back to FRMAC via an electronic data deliverable (EDD). As part of the exercise, an evaluation was conducted to identify gaps and potential improvements in each step of the processes. Additionally, noteworthy practices and potential future areas of interoperability between FRMAC and EPA were acknowledged. The exercise also provided a unique opportunity for FRMAC personnel to observe EPA sample receipt and sample preparation processes and to gain familiarity with the MERL laboratory instrumentation and radiation detection capabilities. The observations and lessons-learned from this exercise will be critical for developing a more efficient, integrated response for future interactions between the FRMAC and EPA assets.
Through the SNL New Mexico Small Business Assistance (NMSBA) program, several Sandia engineers worked with the Environmental Restoration Group (ERG) Inc. to verify and validate a novel algorithm used to determine the scanning Critical Level (L c ) and Minimum Detectable Concentration (MDC) (or Minimum Detectable Areal Activity) for the 102F scanning system. Through the use of Monte Carlo statistical simulations the algorithm mathematically demonstrates accuracy in determining the L c and MDC when a nearest-neighbor averaging (NNA) technique was used. To empirically validate this approach, SNL prepared several spiked sources and ran a test with the ERG 102F instrument on a bare concrete floor known to have no radiological contamination other than background naturally occurring radioactive material (NORM). The tests conclude that the NNA technique increases the sensitivity (decreases the L c and MDC) for high-density data maps that are obtained by scanning radiological survey instruments.