Automated Gantry Test Bed for the Characterization and Development of Gamma-Radiation Detection Platforms
POSTER
Abstract
Uranium-238 or more colloquially known as depleted uranium (DU) and its subsequent
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
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
Presenters
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Samuel Lusby
Authors
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Samuel Lusby
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Benjamin P Crider
Mississippi State University, Institute for Clean Energy Technology, Mississippi state university
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Ronald J Unz
Institute for Clean Energy Technology, Institute for Clean Energy Technology at Mississippi
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Jamie Rickert
Institute for Clean Energy Technology