Bulletin of the American Physical Society
89th Annual Meeting of the Southeastern Section of the APS
Volume 67, Number 18
Thursday–Saturday, November 3–5, 2022; University of Mississippi, University, MS
Session E01: Poster Session
6:00 PM,
Thursday, November 3, 2022
University of Mississippi
Room: The Pavilion
Abstract: E01.00006 : Automated Gantry Test Bed for the Characterization and Development of Gamma-Radiation Detection Platforms*
Presenter:
Samuel Lusby
Authors:
Samuel Lusby
Benjamin P Crider
(Mississippi State University)
Ronald Unz
(Institute for Clean Energy Technology at Mississippi)
Jamie Rickert
(Institute for Clean Energy Technology)
decay products can pose a public health hazard as well as environmental damage through
the emission of gamma radiation. DU and its hazardous decay products are most commonly
found at the surface in areas where munitions training and nuclear weapons development are
taking place. These sites are large in area, so the resulting creation of high volume low-level
waste created presents a time intensive, financially expensive and over-burdening of resources
to dispose of. Consequently, identifying DU with quality data and decreasing false positives in
the results assists regulators in the decision making process to reduce the volume of low-level
waste. An automated system to locate DU, is being developed and characterized, utilizing a
gantry system above a sandbox test bed through a mounted movable Germanium Gamma-ray
Imager (GeGI). A data acquisition program has been developed to fully automate the detec-
tor’s movement, position, and initiation of data collection using LabVIEW systems engineering
software. An automated simulated observational environment for the development and char-
acterization of autonomous robotic platforms to search for and identify radioactive material
has been developed and is discussed. User-inputted parameters can control the position and
data collection time per position through the use of a pulse generation technique to control
the GeGI’s own external data acquisition. All of which are controlled through the LabVIEW
program’s user interface. Further a graphical user interface (GUI) has been streamlined for the
use of the newly developed automated features of the gantry test bed in a laboratory-controlled
environment. All of the user interactions through the LabVIEW program, including the initi-
ation of data collection, can be limited to same computer system on which the GeGI itself is
operating from. Opening the door for future autonomous robotic systems development and
characterization beyond the in-laboratory sand box test bed. The developed system will be
used to characterize radiological detection technologies to be deployed on radiological surveying
systems
*Institute for Clean Energy Technology at Mississippi
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