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The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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Proving DRACO will deliver
The United States is now closer than it has been in over five decades to launching the first nuclear thermal rocket into space, thanks to DRACO—the Demonstration Rocket for Agile Cislunar Orbit.
C. Dubi, I. Israelashvili, T. Ridnik
Nuclear Science and Engineering | Volume 176 | Number 3 | March 2014 | Pages 350-359
Technical Paper | doi.org/10.13182/NSE13-2
Articles are hosted by Taylor and Francis Online.
Neutron multiplicity counting (NMC) measurements are often affected by the detection system dead time. Still, dead time losses are often neglected in analytic NMC models, and most of the dead time corrections are done through empirical models, experimentally fitted to the measurement system. In the present paper, we introduce a new analytic model for calculating the effect of a system dead time on the outcome of NMC. The model is subjected to two assumptions (in addition to the standard model assumptions in multiplicity counting): The first is that the dead time can be described by a paralyzable model, and the second is that the dead time effect may occur only between neutrons arriving from the same source event. The second assumption is, in fact, a restriction on the source event rate in the system and, in certain cases, may eventually be translated into a restriction on the mass of the measured sample.