Analysis and processing of hyperspectral data with the purpose of classification

Logan Smith with Julia DobrosotkayaAnalysis and processing of hyperspectral data with the purpose of classificationHyperspectral imaging is an advanced imaging technique that measures visible and near-infrared light reflecting off a surface. Hyperspectral imagery has a wide range of applications from geospatial sciences to ecology, surveillance and more. A hyperspectral...

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Optimization of the Static First Hyperpolarizibility of Many Non-Interacting Fermions

Edwin Bernardoni with Rolfe Petschek Optimization of the Static First Hyperpolarizibility of Many Non-Interacting Fermions Large non-linear electronic polarizabilities would be advantageous for a variety of devices and have been intensely studied for around three decades. This project will examine theoretical limits on the static first non-linear electronic susceptibility of...

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Polarization Properties of Half-wave Plates

Nicholas Clyde with John Ruhl Polarization Properties of Half-wave Plates Millimeter wave optical components are useful for current Cosmic Microwave Background Radiation (CMB) experiments in the field of astrophysics. Therefore, it is useful to characterize these components. The purpose of this study is to test specifically the polarization properties of Millimeter...

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Measuring Scattering, Absorption, and Reflection Properties for Filters in the South Pole Telescope

Kristen McKee with John Ruhl Measuring Scattering, Absorption, and Reflection Properties for Filters in the South Pole Telescope A current problem with many ground-based telescope experiments, such as the South Pole Telescope, is that the optical loading on the detectors is undesirably high. In the South Pole Telescope, millimeter-wavelength photons from...

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Stochastic Differential Equations Driven by Compound Poisson and Lévy Processes

Thomas Norton with Wojbor A. Woyczyński Stochastic Differential Equations Driven by Compound Poisson and Lévy Processes Stochastic differential equations (SDEs) provide a rigorous setting for investigating the dynamics of systems subject to “noise,” by which we mean source terms whose behavior is not deterministic, but governed by a probability distribution.  The...

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