Wind Turbine Interference on Radar Systems Federal Strategies for Mitigation.
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Various technologies for mitigating distortion in coherent image products generated from SAR data are described herein. Synthetic aperture radar (SAR) datasets generated based upon SAR returns from first and second passes of a SAR platform over a scene are received. The SAR datasets can be co-notched at matching sample indices to improve coherence of SAR images generated from the datasets. Windowed SAR data is generated by applying independent windows to subsets of each of the datasets to reduce sidelobe levels of their image impulse responses. Coherent image products are generated based upon the windowed SAR data, wherein an image quality of the coherent image products is improved as compared to coherent image products generated based upon the SAR datasets.
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Presented at the 2016 Winter Conference on Plasma Spectrochemistry (Tucson, AZ)
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Hexavalent chromium is of increasing concern worldwide because of its toxicity, mobility in aqueous media, and relative abundance in waste effluent from a variety of industrial processes. Some of that waste has reached groundwater aquifers. Because of these factors, the fate and transport of hexavalent chromium in aquifers is of great importance for evaluating risk to fresh water sources and to the biosphere, and for designing means for abatement or remediation. Conventional sampling and analysis of groundwater samples from wells is labor intensive and therefore budget limited. The result is inadequate temporal and spatial characterization of contaminant plumes with respect to rate of movement, concentrations, and contaminant flux. A submersible hexavalent chromium sensor designed for extended-term deployment and based on ultraviolet colorimetry has been developed and tested at the Hanford Site, Washington. Adaptation of the method for in situ measurements requires automatic correction for sample turbidity and pH for every measurement. Turbidity is compensated nephelometrically. A method for estimating sample pH based on absorbance measurements made using two different wavelengths is presented. (authors)
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One of the most fundamental mysteries we face in physics is understanding what the nature of the dark energy component of our Universe is that causes the accelerated expansion of space. A powerful way to study dark energy is via weak gravitational lensing due to large-scale structure in the Universe, which we observe as tiny distortions in the shapes of very distant galaxies due to the bending of light by foreground mass. The Dark Energy Survey (DES) and Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) were designed to enable unprecedented measurements of these distortions in the shapes of galaxies to study dark energy. The intrinsic shapes of galaxies before they are distorted by weak gravitational lensing can cancel out some of the effects of lensing to obscure or bias what we infer about the nature of dark energy. This research program has led to improved image-level simulations of the Rubin Observatory LSST data. These simulations have made it possible to characterize for the first time the cosmic impact of these intrinsic shapes on biasing weak gravitational lensing calibration. This work will inform crucial improvements in methodology for studying dark energy with weak gravitational lensing at the precision promised by the the Rubin Observatory LSST over the next decade to ensure we are able to infer unbiased information about the nature of dark energy.