Fast neutron background characterization with the Radiological Multi-sensor Analysis Platform (RadMAP)
John R. Davis, Erik Brubaker, Kai Vetter

TL;DR
This study characterizes fast neutron background radiation using RadMAP with environmental and geographic data, demonstrating how atmospheric pressure and urban shielding significantly influence neutron count rates.
Contribution
The paper introduces a comprehensive method combining environmental sensors and lidar data to analyze and quantify factors affecting neutron background in urban areas.
Findings
Fast neutron count rate exponentially depends on atmospheric pressure.
Urban shielding from buildings reduces neutron background by over 50%.
Pressure effects and urban shielding are comparable in influence on neutron rates.
Abstract
In an effort to characterize the fast neutron radiation background, 16 EJ-309 liquid scintillator cells were installed in the Radiological Multi-sensor Analysis Platform (RadMAP) to collect data in the San Francisco Bay Area. Each fast neutron event was associated with specific weather metrics (pressure, temperature, absolute humidity) and GPS coordinates. The expected exponential dependence of the fast neutron count rate on atmospheric pressure was demonstrated and event rates were subsequently adjusted given the measured pressure at the time of detection. Pressure adjusted data was also used to investigate the influence of other environmental conditions on the neutron background rate. Using National Oceanic and Atmospheric Administration (NOAA) coastal area lidar data, an algorithm was implemented to approximate sky-view factors (the total fraction of visible sky) for points along…
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