Semi-automatic meteoroid fragmentation modeling using genetic algorithms
Tom\'a\v{s} Henych, Ji\v{r}\'i Borovi\v{c}ka, Pavel Spurn\'y

TL;DR
This paper introduces a semi-automatic method using genetic algorithms to model meteoroid fragmentation, enabling better understanding of their physical properties and origins from observed fireball data.
Contribution
The authors developed a novel semi-automatic program employing parallel genetic algorithms for meteoroid fragmentation modeling, improving solution efficiency and consistency.
Findings
The method produces solutions comparable to manual modeling.
Derived fragment masses and mechanical strength are consistent across solutions.
Applicable to meteoroids from major showers and exceptional fireballs.
Abstract
Meteoroids are pieces of asteroids and comets. They serve as unique probes to the physical and chemical properties of their parent bodies. We can derive some of these properties when meteoroids collide with the atmosphere of Earth and become a meteor or a bolide. Even more information can be obtained when meteoroids are mechanically strong and slow enough to drop meteorites. Through physical modeling of bright meteors, we describe their fragmentation in the atmosphere. We also derive their mechanical strength and the mass distribution of the fragments, some of which may hit the ground as meteorites. We developed a semi-automatic program for meteoroid fragmentation modeling using parallel genetic algorithms. This allowed us to determine the most probable fragmentation cascade of the meteoroid, and also to specify its initial mass and velocity. These parameters can be used in turn to…
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