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2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Seconds Matter: Rethinking Nuclear Facility Security for the Modern Threat Landscape
In today’s rapidly evolving threat environment, nuclear facilities must prioritize speed and precision in their security responses—because in critical moments, every second counts. An early warning system serves as a vital layer of defense, enabling real-time detection of potential intrusions or anomalies before they escalate into full-blown incidents. By providing immediate alerts and actionable intelligence, these systems empower security personnel to respond decisively, minimizing risk to infrastructure, personnel, and the public. The ability to anticipate and intercept threats at the earliest possible stage not only enhances operational resilience but also reinforces public trust in the safety of nuclear operations. Investing in such proactive technologies is no longer optional—it’s essential for modern nuclear security.
Robin Klein Meulekamp, Steven C. van der Marck
Nuclear Science and Engineering | Volume 152 | Number 2 | February 2006 | Pages 142-148
Technical Paper | doi.org/10.13182/NSE03-107
Articles are hosted by Taylor and Francis Online.
New Monte Carlo estimators of the effective delayed neutron fraction eff are presented in this paper. By looking at the physical interpretation of the adjoint function, one can incorporate its effect on the delayed neutron fraction without explicitly calculating the adjoint function itself. We have implemented these estimators into MCNP. In a standard keff calculation, the code now reports a eff value. The method does not slow down the code by more than 0.5%. We propose an extensive experimental benchmark set for eff, which we use to test our method and two known approximate methods. Our method reproduces all experimental values.