The Desert Fireball Network Clear-Sky Survey
Konstantinos S. Servis, Hadrien A. R. Devillepoix, Eleanor K. Sansom, Thomas W. C. Stevenson

TL;DR
This paper introduces an automated, scalable method using HEALPix to accurately measure meteoroid flux densities from multi-camera fireball observations, demonstrated on the 2015 Southern Taurid meteor shower data.
Contribution
It presents a novel automated debiasing methodology for meteor observations using HEALPix, improving accuracy and scalability over manual processes.
Findings
Effective coverage of 1.58 x 10^12 km^2.h achieved
Identified 54 Taurid fireballs from 141 detections
Results align with previous size-based extrapolations
Abstract
Estimating the meteoroid flux density at centimetre to metre sizes is notoriously difficult. Yet it is an important endeavour, as these sizes represent the transition between small meteoroids that pose a risk to spacecraft, and the Near-Earth Objects that are relevant for planetary defense. We present a novel automated methodology for debiasing meteor observations from multi-camera networks, applied to data from the Desert Fireball Network (DFN). Our approach utilizes the Hierarchical Equal Area isoLatitude Pixelisation (HEALPix) framework to partition the sky into equal-area pixels at 70 km altitude, enabling precise and convenient measurement of effective survey coverage and fireball counting across the network. We developed a comprehensive data processing pipeline that analyses millions of all-sky camera images to determine clear-sky conditions through automated star source…
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Taxonomy
TopicsAstro and Planetary Science · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
