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Student Internship Program Report

Cassidy, Timothy A.

This is the author's third summer working at Sandia National Laboratories in organization 5712. He is a physics major at Reed College in Portland, Oregon. His work at Sandia began during his senior year at Eldorado High School, when he worked part time and received school credit for participating in the internship program. During that time and two ensuing summers he worked on a variety of projects. These experiences included testing a number of optical-electronic systems, performing such tasks as determining the spectral responsivity of photodiodes and placing optical/electronic systems in front of a variety of light-sources in order to generate calibration curves. He also contributed to the computer generation of data to model a hypothetical satellite-mounted detection system using SSGM (Synthetic Scene Generation Model) and the Khoros visual programming software Cantata on a UNIX operating system. Other experiences included pre-flight satellite testing, and work in the field deploying a suite of sensors and data collection equipment in Nevada. This summer he is involved in image analysis using the software development tools of the Khoros programming environment. He is working on a project whose goal is to identify superimposed spectra obtained from remote-sensing equipment. The spectra to be identified are those of chemical warfare agents and precursor chemicals from the industrial processes used to manufacture them. Identifying these spectra is a challenge when they are mixed with each other and with incident light from the ground and atmosphere--photons that are both reflected from the sun and emitted as blackbody radiation. In order to model this process, he is working on a Khoros program that will add noise to laboratory-obtained spectra from a variety of chemicals. This altered data will mimic what a remote sensing device is likely to record in the field. Given this example of likely field results, developing an ideal sensor and a method to identify spectra from such data will continue for a number of years.

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