4,456 research outputs found
Monitoring the Thermal Power of Nuclear Reactors with a Prototype Cubic Meter Antineutrino Detector
In this paper, we estimate how quickly and how precisely a reactor's
operational status and thermal power can be monitored over hour to month time
scales, using the antineutrino rate as measured by a cubic meter scale
detector. Our results are obtained from a detector we have deployed and
operated at 25 meter standoff from a reactor core. This prototype can detect a
prompt reactor shutdown within five hours, and monitor relative thermal power
to three percent within seven days. Monitoring of short-term power changes in
this way may be useful in the context of International Atomic Energy Agency's
(IAEA) Reactor Safeguards Regime, or other cooperative monitoring regimes.Comment: 10 pages, 9 figure
Evaluating the Baluti Formation at Sararu village, Ora Anticline, Iraqi Kurdistan : a stratigraphic and geochemical approach
Open access through Springer Compact Agreement Acknowledgements The authors would like to thank Colin Taylor and Walter Ritchie from University of Aberdeen for their technical support and assistance with laboratory work. We would also like to thank Mr. Omer Kamil Ali, the Head of the Qumri village, for providing accommodation during fieldwork.Peer reviewedPublisher PD
A Note on Neutron Capture Correlation Signals, Backgrounds, and Efficiencies
A wide variety of detection applications exploit the timing correlations that
result from the slowing and eventual capture of neutrons. These include
capture-gated neutron spectrometry, multiple neutron counting for fissile
material detection and identification, and antineutrino detection. There are
several distinct processes that result in correlated signals in these
applications. Depending on the application, one class of correlated events can
be a background that is difficult to distinguish from the class that is of
interest. Furthermore, the correlation timing distribution depends on the
neutron capture agent and detector geometry. Here, we explain the important
characteristics of the neutron capture timing distribution, making reference to
simulations and data from a number of detectors currently in use or under
development. We point out several features that may assist in background
discrimination, and that must be carefully accounted for if accurate detection
efficiencies are to be quoted.Comment: 7 pages, 7 figures; Submitted to Nuclear Instrument and Methods
Application of remote sensing to selected problems within the state of California
There are no author-identified signficant results in this report
Application of remote sensing to selected problems within the state of California
There are no author-identified significant results in this report
Reactor monitoring and safeguards using antineutrino detectors
Nuclear reactors have served as the antineutrino source for many fundamental
physics experiments. The techniques developed by these experiments make it
possible to use these very weakly interacting particles for a practical
purpose. The large flux of antineutrinos that leaves a reactor carries
information about two quantities of interest for safeguards: the reactor power
and fissile inventory. Measurements made with antineutrino detectors could
therefore offer an alternative means for verifying the power history and
fissile inventory of a reactors, as part of International Atomic Energy Agency
(IAEA) and other reactor safeguards regimes. Several efforts to develop this
monitoring technique are underway across the globe.Comment: 6 pages, 4 figures, Proceedings of XXIII International Conference on
Neutrino Physics and Astrophysics (Neutrino 2008); v2: minor additions to
reference
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors
This is the final version of the article. Available from the publisher via the DOI in this record.Most 3D reconstruction approaches passively optimise over all data, exhaustively
matching pairs, rather than actively selecting data to process. This is costly both in terms
of time and computer resources, and quickly becomes intractable for large datasets.
This work proposes an approach to intelligently filter large amounts of data for 3D
reconstructions of unknown scenes using monocular cameras. Our contributions are twofold:
First, we present a novel approach to efficiently optimise the Next-Best View (NBV)
in terms of accuracy and coverage using partial scene geometry. Second, we extend this to
intelligently selecting stereo pairs by jointly optimising the baseline and vergence to find
the NBVās best stereo pair to perform reconstruction. Both contributions are extremely
efficient, taking 0.8ms and 0.3ms per pose, respectively.
Experimental evaluation shows that the proposed method allows efficient selection
of stereo pairs for reconstruction, such that a dense model can be obtained with only
a small number of images. Once a complete model has been obtained, the remaining
computational budget is used to intelligently refine areas of uncertainty, achieving results
comparable to state-of-the-art batch approaches on the Middlebury dataset, using as little
as 3.8% of the views.The presentation of this paper was made possible
by the BMVC 2016 student bursar
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