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The objectives of this sessions are to understand the basic function of the Hypothetical Facility; identify the different areas of the Hypothetical Facility.
The objectives of this session are to prepare Shewart, CUSUM, and EWMA charts for sample ID data; and estimate the Pd point in time for various inside trickle diversion rates.
In this session you will setup the INCC code to perform calibration and verification measurements on simulated waste drums using the Waste Drum Assay System (WDAS) detector, which uses the add-a-source (AAS) method. The basis of the AAS method is to measure the change in the counting rate from a small 252 Cf source (~3x10 4 n/s) located outside of the drum and to use this information to correct the count rate from material inside the drum for any changes caused by the matrix inside the drum. The count rate of the material inside the drum is corrected to the empty drum case so that only a single mass calibration curve has to be measured (for the empty drum configuration). In the WDAS system, the AAS neutron source has one location, centered beneath the waste drum. The sample matrix has two primary effects on the neutrons: (1) energy reduction by scattering reactions and (2) neutron absorption of the low-energy neutrons. In general, the counter is designed with an optimum moderator (CH 2 ) thickness to be relatively insensitive to the energy reduction; however, as the hydrogen density in the drum increases, the adsorption process significantly reduces the measured neutron signal.
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As part of this training course, we have created a scenario at a location that will provide you with an opportunity to practice the techniques you have learned during the week. For the first hour, you will have the opportunity to conduct a Visual Observation and use VOB to determine ideal locations for RN soil sampling, swipe sampling, and in situ measurements. After the VOB and sampling locating, you will rotate between soil sample, swipe sample, and two in situ activities.
The identiFINDER2 is an easily portable handheld NaI gamma detector. The IAEA uses the safeguards version of the identiFINDER2 and calls it the HM-5. The HM-5 has built in software to analyze the detection signal specifically for IAEA verification applications.
The Nuclear Detection and Sensor Testing Center (NDSTC) provides a test bed for researchers to test both their instrumentation systems and analytical techniques using nuclear material from Y-12. Students and professionals from outside of Y-12 visit Site 2 of the NDSTC as a part of Nonproliferation Workshops and other Y-12-hosted events. Site 2 of the NDSTC holds Category IV quantities of uranium-bearing materials and radiological sources. The goal of this project is to design engaging, hands-on activities which will be implemented during these visits in order to give the participants a more informative experience in nuclear detection.
After the session the participants will be able to do the following: 1. Determine system improvements which will improve the overall system effectiveness for this scenario, and 2. Analyse the assigned insider scenario to determine the relative improvement.
After the session the participants will be able to do the following: 1. Determine system improvements which will improve the overall system effectiveness for this scenario, and 2. Analyse the assigned insider scenario to determine the relative improvement.
After the session the participants will be able to do the following: 1. Determine system improvements which will improve the overall system effectiveness for this scenario, and 2. Analyse the assigned insider scenario to determine the relative improvement.
Training for Chinese Delegation at Sandia National Laboratories, Sept. 10, 2019.
Training for Chinese Delegation at Sandia National Laboratories, Sept. 10, 2019
In April of 2020, Sandia National Laboratories had an urgent need to identify and manage the data that could be used to create mobile applications, models, reports, and visualizations to assist management in safely bringing the workforce onsite during the COVID-19 pandemic. Multiple divisions volunteered to design and build software solutions; meanwhile, requests for new data sources, including duplicate requests, were inundating Information Technology (IT) and data owners. The Enterprise Data Governance Team was assigned to resolve obtaining and accessing new sources of data in an accelerated timeframe. Through successful collaboration with multiple stakeholders and domain owners across Sandia, the Enterprise Data Governance Team rapidly developed a centralized data strategy and solution for use in safeguarding the Sandia workforce during the COVID-19 pandemic. This foundation enabled teams to successfully develop solutions, including reports for executives and management as well as the data for modeling and scientific analysis.
The guide consists of a fillable form that is to be filled out following the viewing of the lecture.
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In 2021: Los Alamos National Laboratory (LANL) conducted a Technical Ransomware Event (Phase 1). Phase 1 activities to restore to operations were successful, mission essential functions were restored. All incident response notifications derived during Phase 1 were completed.