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R. Scott Kemp

Publications and source records attributed to R. Scott Kemp.

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Modeling the Performance of the Burevestnik Nuclear-Powered Cruise Missile

In the last decade, Russia's strategic arsenal has pivoted towards a reliance on exotic nuclear-weapon delivery systems. One such system, the Burevestnik (NATO: 9M730) is claimed to be a nuclear-powered, nuclear-armed cruise missile capable of nearly indefinite flight. The air-breathing nuclear propulsion system used in this missile is unique, and its attributes are generally unfamiliar to both the aerospace and nuclear-security communities. To better understand the Burevestnik, and the potential of air-breathing nuclear propulsion systems generally, we have developed a nuclear-aircraft modeling toolkit capable of constraining the missile's performance characteristics. Using this framework, we conclude that the Burevestnik is a subsonic cruise missile system measuring $9.5 \pm 0.32$~m in length, with a $5.6 \pm 0.18$~m wingspan, likely powered by a direct-cycle nuclear turbojet (our calculations almost entirely exclude the possibility of a nuclear ramjet). Under these assumptions, our models predict a reactor thermal power of $4.3\pm 1.3$~MWth at cruise, with peak power demand during climb and terminal maneuvering exceeding $15$~MWth, which may be met with a supplemental chemical interburner. Monte Carlo simulations show that escaping neutrons will generate in excess of 5~TBq of gaseous radionuclides per MW-hr of flight, including isotopes such as $^{41}Ar$, $^{85m}Kr$, $^{83m}Kr$ and $^{14}C$, some of which may be detectable using existing monitoring networks.

physics.soc-ph

Reconstructions of Single Pixel X-Ray Transforms with Applications in Nuclear-Disarmament Verification

In nuclear arms control and disarmament processes, it is crucial to determine whether an object is a nuclear weapon or not without revealing sensitive information about it. At the MIT: Laboratory for Nuclear Security and Policy, such a nuclear verification method was developed, showcasing a transmission-based approach [1]. This method's essential part rests on a mathematical operation, the Single-Pixel X-Ray Transform: a cone of X-rays transmits an object and the remaining intensity is measured with a single-pixel detector. This transformation and the recovery of objects from dimensionless single-pixel measurements more generally has only been analyzed to a limited extent. In this work, we investigate some of the Single Pixel X-Ray Transform's mathematical properties. More specifically, we show that the Single Pixel X-ray transform is non-linear, continuous, Fréchet-differentiable and convex. We also introduce a method of reconstructing an object based only on a finite number of dimensionless, noisy Single Pixel X-Ray Transform measurement values. This method is based on Douglas-Rachford splitting and uses total variation denoising. We present an implementation for this method, focusing on rotational symmetric objects, as they allow the use of a one-dimensional direct total variation denoising algorithm [2].

math.NA

Revealing hidden defects through stored energy measurements of radiation damage

With full knowledge of a material's atomistic structure, it is possible to predict any macroscopic property of interest. In practice, this is hindered by limitations of the chosen characterisation techniques. For example, electron microscopy is unable to detect the smallest and most numerous defects in irradiated materials. Instead of spatial characterisation, we propose to detect and quantify defects through their excess energy. Differential scanning calorimetry (DSC) of irradiated Ti measures defect densities 5 times greater than those determined using transmission electron microscopy (TEM). Our experiments also reveal two energetically-distinct processes where the established annealing model predicts one. Molecular dynamics (MD) simulations discover the defects responsible and inform a new mechanism for the recovery of irradiation-induced defects. The combination of annealing experiments and simulations can reveal defects hidden to other characterisation techniques, and has the potential to uncover new mechanisms behind the evolution of defects in materials.

cond-mat.mtrl-sci

Measuring Very Low Radiation Doses in PTFE for Nuclear Forensic Enrichment Reconstruction

Every country that has made nuclear weapons has used uranium enrichment. Despite the centrality of this technology to international security, there is still no reliable physical marker of past enrichment that can be used to perform forensic verification of historically produced weapons. We show that the extremely low radioactivity from uranium alpha emissions during enrichment leaves detectable and irreversible calorimetric signatures in the common enrichment gasket material PTFE, allowing for historical reconstruction of past enrichment activities at a sensitivity better than one weapon's quantity of highly enriched uranium. Fast scanning calorimetry also enables the measurement of recrystallization enthalpies of sequentially microtomed slices, confirming the magnitude and the type of radiation exposure while also providing a detection of tampering and a method for analyzing field samples useful for treaty verification. This work opens the door for common items to be turned into precise dosimeters to detect the past presence of radioactivity, nuclear materials, and related activities with high confidence.

physics.ins-det

Quantifying Privacy in Nuclear Warhead Authentication Protocols

International verification of nuclear warheads is a practical problem in which the protection of secret warhead information is of paramount importance. We propose a measure that would enable a weapon owner to evaluate the privacy of a proposed protocol in a technology-neutral fashion. We show the problem is reducible to `natural' and `corrective' learning. The natural learning can be computed without assumptions about the inspector, while the corrective learning accounts for the inspector's prior knowledge. The natural learning provides the warhead owner a useful lower bound on the information leaked by the proposed protocol. Using numerical examples, we demonstrate that the proposed measure correlates better with the accuracy of a maximum a posteriori probability estimate than alternative measures.

stat.OT