A Comparison of Fireball Luminous Efficiency Models using Acoustic Records
Luke McFadden, Peter Brown, Denis Vida

TL;DR
This study combines optical and acoustic measurements to evaluate and compare luminous efficiency models of fireballs, finding good agreement for stony meteors but significant differences for iron meteorites, which could help identify their composition.
Contribution
It validates the Borovička et al. (2020) luminous efficiency model using acoustic data and highlights potential signatures of iron fireballs based on energy disparities.
Findings
Borovička et al. (2020) model agrees within a factor of two for stony fireballs.
Iron fireballs show an order of magnitude higher luminous efficiency than model predictions.
Disparities between optical and acoustic energies may indicate iron meteorite composition.
Abstract
The total energy of a fireball is commonly obtained from optical measurements with an assumed value for luminous efficiency. Acoustic energy measurements offer an independent means of energy estimation. Here we combine optical and acoustic methods to validate the luminous efficiency model of Borovi\v{c}ka et al. (2020). Our goal is to compare these models with acoustic measurements of meteoroid energy deposition. Employing theoretical blast scaling laws following the approach of McFadden et al. (2021), we determine explosive yields for both fireball fragmentation events and cylindrical shocks for four different bright fireballs. We model fireballs using the MetSim software (Vida et al., 2023) and find that the Borovi\v{c}ka et al. (2020) model produces agreement better than a factor of two for our three chondritic fireball case studies. The major exception is an iron meteorite-producing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVehicle Noise and Vibration Control · Engineering Applied Research · Acoustic Wave Phenomena Research
