arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2408.04078astro-ph.EPastro-ph.IMphysics.ao-phphysics.geo-ph
收藏

利用声学记录对火球发光效率模型的比较研究

A Comparison of Fireball Luminous Efficiency Models using Acoustic Records

Luke McFadden, Peter Brown, Denis Vida

AI总结:

本文结合光学与声学方法验证Borovička等人(2020)火球发光效率模型,发现其对球粒陨石型火球符合度优于两倍,而铁陨石火球发光效率高一个数量级,提示该差异可用于判别铁质火球群体。

摘要:

火球的总能量通常通过光学测量并结合假定的发光效率值来获得。声学能量测量提供了一种独立的能量估算方法。本文结合光学与声学方法,以验证Borovička等人(2020)提出的发光效率模型。我们的目标是将这些模型与流星体能量沉积的声学测量结果进行比较。采用McFadden等人(2021)方法中的理论爆炸标度律,我们确定了四个不同明亮火球的火球碎裂事件和柱状激波的爆炸当量。我们使用MetSim软件(Vida等人,2023)对火球进行建模,发现Borovička等人(2020)模型在三个球粒陨石型火球案例研究中产生优于两倍的符合度。主要例外是一个产生铁陨石的火球,其发光效率比用石质火球校准的模型预测值高一个数量级。我们认为光学能量与声学能量之间的巨大差异可能是铁质火球的特征,因此可作为区分该群体的一种有效判别依据。

英文摘要:

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 Borovička 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 Borovička 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 fireball where the luminous efficiency is an order of magnitude higher than model predictions calibrated with stony fireballs. We suggest that large disparities between optical and acoustic energies could be a signature of iron fireballs and hence useful as a discriminant of that population.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑