The Effect of Signal Processing Data Collection Efficiencies in Field Surveys


C. M. Marianno, K. A. Higley


Advancements in survey technology are causing unexpected problems in survey data collection. Currently organizations such as private industry, the United States Navy, Army, and Air Force are coupling some detector systems with data collection devices to survey large land areas for radioactive contamination. As detector technology has advanced and analog data collection has turned to digital, signal processing is becoming prevalent in some instruments. To demonstrate the effect of signal processing on data collection efficiencies, a field instrument for detecting low energy radiation (FIDLER) was attached to a data collector and walked over a National Institute for Standards and Technology (NIST) traceable Am-241 source at three different speeds. Stationary detection efficiency and detection efficiency as a function of speed were calculated for this set-up. Comparisons of results were completed with Monte Carlo generate efficiencies. The stationary data, which was acquired for a longer amount of time, compared nicely to the theoretical results. Conversely, dynamic detection efficiencies were considerably different from their theoretical counterparts. As speed increased, differences in detection efficiency approached two orders of magnitude.


This abstract was presented at the 33rd Annual Midyear Meeting, "Instrumentation, Measurements, and Electronic Dosimetry", Field Use Session, 1/30/2000 - 2/2/2000, held in Virginia Beach, VA.

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