ISIS Neutron and Muon Source Data Journal

Measuring Radiation Effects on Robotic Systems

Abstract: Performance degradation analysis of the sensors and embedded computing systems in the radiation-rich environment is a research area for nuclear robotics. In this perspective, a couple of experiments are proposed to capture the neutron-induced noise on the Raspberry Pi ARM processor-based system and associated camera. The experiments are designed to maintain a log of the data from the irradiated devices to a wide neutron fluence range. The captured data will be useful in modelling the device under test (DUT) performance degradation as the function of the neutron fluence. Such models can be useful for researchers planning similar deployments and for algorithms facilitating radiation robust operation. The degradation analysis requires periodic irradiation of the DUT from a high flux collimated neutron beam, and a 24-hour beamtime at the ChipIR facility is ideal to support the said need.

Principal Investigator: Professor Klaus McDonald-Maier
Experimenter: Dr Bilal Aslam
Local Contact: Dr Carlo Cazzaniga
Experimenter: Dr SANGEET SAHA

DOI: 10.5286/ISIS.E.RB1900107

ISIS Experiment Number: RB1900107

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Klaus McDonald-Maier et al; (2018): Measuring Radiation Effects on Robotic Systems, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1900107

Data is released under the CC-BY-4.0 license.