Determining the statistical significance of meteorite–asteroid pairs using geocentric parameters

IF 5.8 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
P. M. Shober
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引用次数: 0

Abstract

Context. Orbital similarity between precisely observed meteorite falls and near-Earth asteroids (NEAs) has been presented for decades as evidence that some meteorites are coming directly from these asteroids. However, analysis of the statistical significance of these pairings is mixed. Based on osculating orbital elements, there is no evidence of statistically significant clustering; however, some analyses that account for secular perturbations suggest that streams are present.Aims. We tested the statistical significance of meteorite-dropping fireballs and NEA clustering using the DN similarity function based on four geocentric quantities (U, θ, ϕ, and λ).Methods. We calculated the cumulative similarity found between 46 meteorite falls, 535 potential meteorite-dropping fireballs, and 20 516 NEAs maintained by NEODyS-2, along with 34 836 NEAs maintained by NASA/JPL HORIZONS. Statistical significance was estimated either by (1) using a kernel density estimation-based method to estimate the sporadic background distribution and thus draw random samples or (2) applying a uniform random solar longitude (λ). Each comparison to the synthetic sporadic population was repeated to estimate the 3σ region for which the cumulative similarity distribution is consistent with random association levels.Results. The observed DN cumulative similarity distribution of 46 instrumentally observed meteorite falls, 535 potential meteoritedropping fireballs, and over 30 k NEA radiants (estimated using six different radiant methods) reveals no statistically significant excess of similarity between the populations consistent with streams.Conclusions. Based on nearly 600 fireball observations and geocentric impact parameters, we find there is no statistically significant clustering between meteorite falls and NEAs. If some meteorites arrive in streams, they make up less than ~0.1% of all falls. Recent asteroid or meteoroid physical processes could still explain features found in meteorites, but this activity is not producing distinguishable orbital streams or pairs.
利用地心参数确定陨石-小行星对的统计意义
上下文。精确观测到的陨星坠落与近地小行星(NEAs)之间的轨道相似性已经被提出了几十年,作为一些陨石直接来自这些小行星的证据。然而,对这些配对的统计意义的分析是混合的。基于密切轨道要素,没有统计学上显著聚类的证据;然而,一些解释长期扰动的分析表明,流是存在的。我们使用基于四个地心量(U, θ, ϕ和λ⊙)的DN相似函数来检验陨石坠落火球和NEA聚类的统计显著性。我们计算了46颗陨石坠落、535颗可能坠落的火球、neodys2维护的20516颗近地天体,以及NASA/JPL HORIZONS维护的34836颗近地天体之间的累积相似性。统计显著性的估计有两种方法:(1)使用核密度估计方法来估计零星的背景分布,从而抽取随机样本;(2)使用均匀随机的太阳经度(λ⊙)。对每个合成散发性种群进行重复比较,估计累积相似度分布与随机关联水平一致的3σ区域。对46个仪器观测到的陨星坠落、535个潜在的陨星坠落火球和超过30 k的NEA辐射量(使用6种不同的辐射方法估计)的观测DN累积相似性分布显示,与流一致的种群之间没有统计学上显著的相似性过量。基于近600个火球观测和地心撞击参数,我们发现陨石坠落和近地天体之间没有统计学上显著的聚类。如果一些陨石以溪流的形式到达,它们占所有陨石的不到0.1%。最近的小行星或流星体物理过程仍然可以解释在陨石中发现的特征,但这种活动不能产生可区分的轨道流或轨道对。
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来源期刊
Astronomy & Astrophysics
Astronomy & Astrophysics 地学天文-天文与天体物理
CiteScore
10.20
自引率
27.70%
发文量
2105
审稿时长
1-2 weeks
期刊介绍: Astronomy & Astrophysics is an international Journal that publishes papers on all aspects of astronomy and astrophysics (theoretical, observational, and instrumental) independently of the techniques used to obtain the results.
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