Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Near-Earth stream decoherence revisited: the limits of orbital similarity

View through CrossRef
Context. Orbital similarity measures, such as the D values, have been extensively used in meteor science to identify meteoroid streams and associate meteorite falls with near-Earth objects (NEOs). However, the chaotic nature of near-Earth space challenges the long-term reliability of these measures for stream identification, and the increasing size of our fireball, meteorite fall, and NEO databases make random associations more common. Despite this, many researchers erroneously continue to use orbital similarity beyond its inherent limits. Aims. We aim to assess the statistical significance of using orbital similarity measures for identifying streams of meteoroids or asteroids and explore the implications of chaotic dynamics on the long-term coherence of these streams. Methods. We employed a kernel density estimation (KDE) based method to evaluate the statistical significance of orbital similarities within different datasets. Additionally, we conducted a Lyapunov characteristic lifetime analysis and simulated 300 fictitious meteoroid streams to estimate the decoherence lifetimes in near-Earth space. The orbital similarity was determined using the DSH, D′, and DH orbital similarity discriminants. Clustering analysis relied on a density-based spatial clustering of applications with noise (DBSCAN) algorithm. Results. Our analysis found no statistically significant streams within the meteorite fall, fireball, or USG impact datasets, with orbital similarities consistent with random associations. Conversely, 12 statistically significant clusters were identified within the NEO population, likely resulting from tidal disruption events. The Lyapunov lifetime analysis revealed short characteristic lifetimes (60–200 years) for orbits in near-Earth space, emphasizing the rapid divergence of initially similar orbits. Meteoroid stream decoherence lifetimes ranged from 104 to 105 years, aligning with previous studies and underscoring the transient nature of such streams. Conclusions. The rapid decoherence of meteoroid streams and the chaotic dynamics of near-Earth orbits suggest that no reported stream or NEO associations of meteorites or fireballs are statistically significant according to orbital similarity functions. Many are likely coincidental rather than indicative of a true physical link. However, several statistically significant clusters found within the NEO population are consistent with a tidal disruption formation. This contrast and lack of statistically significant associations amongst the impact datasets is likely due to the fireball databases being 2 orders of magnitude smaller than the NEO database and the higher intrinsic uncertainties of fireball observation derived orbits.
Title: Near-Earth stream decoherence revisited: the limits of orbital similarity
Description:
Context.
Orbital similarity measures, such as the D values, have been extensively used in meteor science to identify meteoroid streams and associate meteorite falls with near-Earth objects (NEOs).
However, the chaotic nature of near-Earth space challenges the long-term reliability of these measures for stream identification, and the increasing size of our fireball, meteorite fall, and NEO databases make random associations more common.
Despite this, many researchers erroneously continue to use orbital similarity beyond its inherent limits.
Aims.
We aim to assess the statistical significance of using orbital similarity measures for identifying streams of meteoroids or asteroids and explore the implications of chaotic dynamics on the long-term coherence of these streams.
Methods.
We employed a kernel density estimation (KDE) based method to evaluate the statistical significance of orbital similarities within different datasets.
Additionally, we conducted a Lyapunov characteristic lifetime analysis and simulated 300 fictitious meteoroid streams to estimate the decoherence lifetimes in near-Earth space.
The orbital similarity was determined using the DSH, D′, and DH orbital similarity discriminants.
Clustering analysis relied on a density-based spatial clustering of applications with noise (DBSCAN) algorithm.
Results.
Our analysis found no statistically significant streams within the meteorite fall, fireball, or USG impact datasets, with orbital similarities consistent with random associations.
Conversely, 12 statistically significant clusters were identified within the NEO population, likely resulting from tidal disruption events.
The Lyapunov lifetime analysis revealed short characteristic lifetimes (60–200 years) for orbits in near-Earth space, emphasizing the rapid divergence of initially similar orbits.
Meteoroid stream decoherence lifetimes ranged from 104 to 105 years, aligning with previous studies and underscoring the transient nature of such streams.
Conclusions.
The rapid decoherence of meteoroid streams and the chaotic dynamics of near-Earth orbits suggest that no reported stream or NEO associations of meteorites or fireballs are statistically significant according to orbital similarity functions.
Many are likely coincidental rather than indicative of a true physical link.
However, several statistically significant clusters found within the NEO population are consistent with a tidal disruption formation.
This contrast and lack of statistically significant associations amongst the impact datasets is likely due to the fireball databases being 2 orders of magnitude smaller than the NEO database and the higher intrinsic uncertainties of fireball observation derived orbits.

Related Results

Hydatid Cyst of The Orbit: A Systematic Review with Meta-Data
Hydatid Cyst of The Orbit: A Systematic Review with Meta-Data
Abstarct Introduction Orbital hydatid cysts (HCs) constitute less than 1% of all cases of hydatidosis, yet their occurrence is often linked to severe visual complications. This stu...
Similarity Search with Data Missing
Similarity Search with Data Missing
Similarity search is a fundamental research problem with broad applications in various research fields, including data mining, information retrieval, and machine learning. The core...
Towards a consistent thermal-orbital model for the Galilean satellites
Towards a consistent thermal-orbital model for the Galilean satellites
In the coming decade, the JUICE and Europa Clipper spacecraft will both visit Jupiter’s Galilean satellites, a joint exploration in great part motivated by the presence of subsurfa...
A new conceptual model to explain the mid-Pleistocene transition
A new conceptual model to explain the mid-Pleistocene transition
<p>Pleistocene climate is primarily driven by changes of the Earth’s orbital parameters. However, the Mid-Pleistocene Transition (MPT) (~0.8-1.2Myr) whi...
Morphometric Analysis of Orbital Cavity in South Indian Population
Morphometric Analysis of Orbital Cavity in South Indian Population
Introduction: Each orbital cavity is actually meant as a socket for the eyeball. The human orbit is a complicated anatomic area, which performs predominant position in the craniofa...
Investigation of the molecular mechanisms of electronic decoherence within a quinone cofactor
Investigation of the molecular mechanisms of electronic decoherence within a quinone cofactor
The notion of decoherence is particularly adapted to discuss the quantum-to-classical transition in the context of chemical reactions. Decoherence can be modeled by computing the t...
The limits of orbital similarity: meteoroid stream decoherence
The limits of orbital similarity: meteoroid stream decoherence
Orbital similarity discriminants are an important tool in meteor science for identifying and characterizing meteoroid streams and meteor showers. The degree of similarity between m...

Back to Top