UAH Physics Students

GRA Opportunity

Mon, 24 Mar 2008 09:01:08 -0500

Geostationary Lightning Mapper (GLM) Photogrammetry

The purpose of this project is to develop photogrammetric techniques to sharpen both the background scene and lightning imagery from the Geostationary Lightning Mapper (GLM) CCD sensor unit. Ultimately, the specific objective is to obtain sub-pixel location accuracy for lightning flashes imaged from space.

The (GLM) is a single channel, near-IR imager/optical transient event detector, used to detect, locate and measure total lightning activity over the full-disk as part of a 3-axis stabilized, geostationary weather satellite system. The GLM mission objectives are to 1) provide continuous, full-disk lightning measurements for storm warning and short-term prediction, 2) provide early warning of tornadic activity, and 3) accumulate a long-term database to track decadal changes of lightning.

Advisor: Dr. Larry Carey, UAH ESSC and NSSTC

GRA Opportunity

Wed, 30 Jan 2008 10:18:27 -0600

Nanophotonics

This position is mostly involved with study of nanostructures and their optical and structural properties. Study of energy transfer from one nanocrystal to another and the ways one can control this process are the objectives.

Duties: Fabrication of silicon nanocrystals and one- and two-dimensional silicon-based photonic structures. Measurement and modeling of optical and structural properties of quantum dots and nanostructure composites.

Requirements: Computational and numerical skills; high GPA, particularly in quantum mechanics and electromagnetism; basic knowledge of solid state and semiconductor physics.

Useful: Knowledge of semiconductor devices and photonic band gaps; overall knowledge of plasmonic effects; working experience in physics or chemistry or material labs.

Advisor: Dr. Seyed Sadeghi, Physics Department

GRA Opportunity

Wed, 30 Jan 2008 10:16:01 -0600

Radiation Effects on Electronics

This modeling consists of fitting models of galactic cosmic ray and solar energetic particle energy spectra to data and fitting probabilistic models for solar energetic particlel events to data.

Advisor: Dr. James Adams, NASA MSFC/NSSTC