Background in Low Earth Orbiting Cherenkov Detectors, and Mitigation Strategies

TL;DR

This paper uses simulations to analyze background signals in low Earth orbit Cherenkov detectors, exploring how various environmental factors affect measurements and proposing coincidence methods to mitigate background noise.

Contribution

It provides a detailed simulation-based characterization of Cherenkov detector backgrounds in low Earth orbit and evaluates strategies for background mitigation during space missions.

Findings

Cherenkov count rates vary significantly with orbit location, date, and solar activity.

Coincidence methods effectively reduce background from trapped particles and delta electrons.

Cherenkov detectors can gather detailed spectral data during Ground-Level Enhancements.

Abstract

Cherenkov detectors have been used in space missions for many decades, and for a variety of purposes, including for example, for Galactic Cosmic Ray (GCR) and Solar Energetic Particle (SEP) measurements. Cherenkov detectors are sensitive to many types of particles that are present in the environment of space, including gamma rays, trapped particles and cosmic particles, and each particle component acts as essentially a background when trying to view another specific particle component. In this research, GRAS/Geant4 simulations were performed to characterise the count rates that a simple Cherenkov detector design would experience in a low Earth orbit, and we find that Cherenkov count rates due to most particle components vary significantly depending on many different factors, including the location in the orbit, the date of the orbit, whether or not the detector is within the van Allen belts, and whether or not a solar particle event is occurring. We find that a small Cherenkov detector is readily able to gather detailed data on both trapped particles and spectral information during Ground-Level Enhancements. We also investigate the use of coincidence as a method to remove count rates due to trapped particles and delta electrons, finding that this method is generally very effective for resolving count rates due to GLEs amongst intense trapped particle environments, but that some Cherenkov count rates due to trapped particles are still observed in the simulated south Atlantic anomaly region.