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AAWSAP DIRD, Inertial Electrostatic Confinement Fusion, March 2010

U.S. Department of War · 2010-03-10 · 72 pages · text from the file's own layer

This Defense Intelligence Reference Document, dated 10 March 2010, was prepared by the Defense Intelligence Agency's Defense Warning Office under the Advanced Aerospace Weapon System Applications Program. It surveys the basics, experimental status, theory and possible uses of inertial electrostatic confinement (IEC) fusion, with emphasis on work at the University of Illinois Urbana-Champaign. It covers neutron sources, explosives detection and space propulsion. It ends by proposing a 12-gun hydrogen plasma experiment meant to show breakeven conditions for p-11B fuel.

From the source:Release of 2026-09-18 Incident: 3/10/10, Las Vegas, Nevada. Released with redactions. This document is a Defense Intelligence Reference Document (DIRD), a technical reference format used by the Defense Intelligence Agency (DIA) to capture baseline knowledge on a specific topic for later analytic use. DIRDs are best understood as reference and synthesis products rather than as original research. It is one of 38 DIRDs produced under the Advanced Aerospace Weapon System Applications Program (AAWSAP) between 2009 and 2011. Because AAWSAP’s scope permitted a broad range of supporting topics, not every DIRD in the series directly concerns aerospace systems or future threat assessment. The following summary reflects the DIRD’s scope and framing at the time of writing and should not be read as implying current validation of the concepts discussed. This DIRD surveys inertial electrostatic confinement (IEC) fusion, a relatively unconventional fusion concept that uses electric fields rather than the more established magnetic or laser-based approaches to confine ions, and it reviews both the underlying physics and the experimental work associated with the concept. The report emphasizes that IEC may have nearer-term value as a compact neutron, proton, or x-ray source and as a platform for studying experimental fusion approaches, while also presenting more ambitious possibilities such as aneutronic power generation and propulsion applications. At the same time, it makes clear that the concept remained far from practical fusion power, with experimental devices operating several orders of magnitude below breakeven and with major unresolved issues involving confinement, losses, grid damage, and scale-up. Overall, the document treats IEC as a technically interesting but still highly speculative path toward fusion energy, while suggesting that its more limited spin-off applications were more plausible in the near term than its long-range power generation or propulsion applications.

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Detector Array and Analysis System
The final imaging quality is determined by neutron source yield integrated over the area
of coverage by the number of detectors, the detector configuration, the collimated
beam size, the acquisition time, and other scan-related parameters. Scintillators such
as Nal, Csl, and BGO as well as Plastic Nal (Tl) are candidates for gamma and x-ray
detectors. Due to their small size, they can be used in a large array along with TOF
spectrometry to provide detailed special information. Recently, UIUC staff has studied
use of an advanced thick Hgb detector which appears to be particularly advantageous
for this application. Hgb is a room temperature semiconductor material with an
excellent stopping power and a relatively large photo-fraction for detecting high energy
gamma rays. Assuming successful development, Hgb detectors would provide superior
array performance.
With the combined sources, the detector array receives a vast amount of information in
a short scan time. To handle this flow of data most efficiently, a fuzzy logic system is
employed. The development of this advanced fuzzy !logic system is patterned after a
methodology developed for the diagnosis of abnormal situations in nuclear reactor
safety analysis. The knowledge box employs a goal tree (and/or decision tree) for
representation. This system will use learning -based rules that evolve from extensive
simulation tests to provide training about the simultaneous occurrence of specific
elements and embedded object shapes. It will also learn to differentiate between
positive and negative data by creating rules from these test runs. Materials listed early
in the simulation study discussion would be employed. The advantage of this system is
twofold . The broad area scan analysis is optimized for fast through-put of objects while
the multiple neutron/x-ray identification reduces the probability of false identification.
The fuzzy logic system will pass the integrated item or sound an alert (suspicious object
in the container) automatically without human involvement. Humans will only be
involved when an alert is sounded. An alert occurs for a range of positive identification
of materials on to suspected identification . The multiple source detector array concept
is designed to minimize items that fall into the category of "in-between" positive
identification and clearance.
The overall concept described here is illustrated for an airplane luggage scan in Figure
5.3. Data from the detection system (TNA, PFNA and x-ray) is processed through fuzzy
logic system. If the item undergoing inspection passes this test, it continues on its way
to baggage claim . If an alert is sounded, the item can either be passed through the
machine for a second scan or be manually inspected, depending on the confidence level
of the alert.
Since the integrated system is modular, t he basic components can easily be assembled
in a variety of configurations for use at different facilities. An example is the extension
to inspection of container ships being unloaded in port as illustrated in Figure 5.4.
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Official release, from the pursue collection. The PDF is mirrored here; the original link is above. 72 pages are in the text index: search them above, or from the library's search.