4,184 research outputs found
Alien Registration- Morin, Marie A. (Saint Agatha, Aroostook County)
https://digitalmaine.com/alien_docs/33137/thumbnail.jp
Quantitative Risk-Based Analysis for Military Counterterrorism Systems
The article of record as published may be found at http://dx.doi.org/10.1002/sysThis paper presents a realistic and practical approach to quantitatively assess the risk-reduction
capabilities of military counterterrorism systems in terms of damage cost and casualty
figures. The comparison of alternatives is thereby based on absolute quantities rather than
an aggregated utility or value provided by multicriteria decision analysis methods. The key
elements of the approach are (1) the use of decision-attack event trees for modeling and
analyzing scenarios, (2) a portfolio model approach for analyzing multiple threats, and (3) the
quantitative probabilistic risk assessment matrix for communicating the results. Decision-attack
event trees are especially appropriate for modeling and analyzing terrorist attacks where
the sequence of events and outcomes are time-sensitive. The actions of the attackers and the
defenders are modeled as decisions and the outcomes are modeled as probabilistic events.
The quantitative probabilistic risk assessment matrix provides information about the range
of the possible outcomes while retaining the simplicity of the classic safety risk assessment
matrix based on Mil-Std-882D. It therefore provides a simple and reliable tool for comparing
alternatives on the basis of risk including confidence levels rather than single point estimates.
This additional valuable information requires minimal additional effort. The proposed approach
is illustrated using a simplified but realistic model of a destroyer operating in inland
restricted waters. The complex problem of choosing a robust counterterrorism protection
system against multiple terrorist threats is analyzed by introducing a surrogate multi-threat
portfolio. The associated risk profile provides a practical approach for assessing the robustness
of different counterterrorism systems against plausible terrorist threats. The paper documents the analysis for a hypothetical case of three potential threats.This work was performed as part of the Naval Postgraduate School institutionally funded research
Implications of the Dirac CP phase upon parametric resonance for sub-GeV neutrinos
We perform an analytic and numerical study of parametric resonance in a three-neutrino framework for sub-GeV neutrinos which travel through a periodic density profile. Commensurate with the initial level of approximation, we develop a parametric resonance condition similar to the exact condition for two-neutrino systems. For a castle-wall density profile, the νe→νμ oscillation probability is enhanced significantly and bounded by cos2θ23. The CP phase δ enters into the oscillation probability as a phase shift. For several cases, we examine the interplay between the characteristics of the castle-wall profile and the CP phase and determine which profiles maximize the separation between oscillations with δ=0,±π2,π. We also consider neutrinos which travel along a chord through the Earth, passing from the mantle to core and back to mantle again. Significant enhancement of the oscillation probability is seen even in the case in which the neutrino energy is far from the MSW resonant energies. At 500 GeV, the difference between oscillation probabilities with δ=0 and δ=π2 is maximized
Control and Manipulation of Cold Atoms in Optical Tweezers
Neutral atoms trapped by laser light are amongst the most promising
candidates for storing and processing information in a quantum computer or
simulator. The application certainly calls for a scalable and flexible scheme
for addressing and manipulating the atoms. We have now made this a reality by
implementing a fast and versatile method to dynamically control the position of
neutral atoms trapped in optical tweezers. The tweezers result from a spatial
light modulator (SLM) controlling and shaping a large number of optical
dipole-force traps. Trapped atoms adapt to any change in the potential
landscape, such that one can re-arrange and randomly access individual sites
within atom-trap arrays.Comment: 6 pages, 4 figure
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