Accurate 3D fireball trajectory and orbit calculation using the 3D-FireTOC automatic Python code

TL;DR

This paper introduces 3D-FireTOC, an automatic Python software that streamlines the detection, trajectory reconstruction, and orbit calculation of fireballs from video data, enhancing accuracy and efficiency in meteoroid impact analysis.

Contribution

The paper presents a novel automated software tool that integrates detection, measurement, and orbit computation for fireballs, reducing manual effort and improving precision.

Findings

Successfully analyzed two bright fireballs recorded by SPMN.

Automated process reduces manual measurement errors.

Provides detailed error quantification at each step.

Abstract

The disruption of asteroids and comets produces cm-sized meteoroids that end up impacting the Earth's atmosphere and producing bright fireballs that might have associated shock waves or, in geometrically-favorable occasions excavate craters that put them into unexpected hazardous scenarios. The astrometric reduction of meteors and fireballs to infer their atmospheric trajectories and heliocentric orbits involves a complex and tedious process that generally requires many manual tasks. To streamline the process, we present a software package called SPMN 3D Fireball Trajectory and Orbit Calculator (3D-FireTOC), an automatic Python code for detection, trajectory reconstruction of meteors, and heliocentric orbit computation from video recordings. The automatic 3D-FireTOC package comprises of a user interface and a graphic engine that generates a realistic 3D representation model, which allows users to easily check the geometric consistency of the results and facilitates scientific content production for dissemination. The software automatically detects meteors from digital systems, completes the astrometric measurements, performs photometry, computes the meteor atmospheric trajectory, calculates the velocity curve, and obtains the radiant and the heliocentric orbit, all in all quantifying the error measurements in each step. The software applies corrections such as light aberration, refraction, zenith attraction, diurnal aberration and atmospheric extinction. It also characterizes the atmospheric flight and consequently determines fireball fates by using the $\alpha - \beta$ criterion that analyses the ability of a fireball to penetrate deep into the atmosphere and produce meteorites. We demonstrate the performance of the software by analyzing two bright fireballs recorded by the Spanish Fireball and Meteorite Network (SPMN).