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Monthly Notices of the Royal Astronomical Society
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Article . 2021 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2021
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Accurate 3D fireball trajectory and orbit calculation using the 3D-firetoc automatic Python code

Authors: Eloy Peña-Asensio; Josep Maria Trigo-Rodríguez; Maria Gritsevich; Albert Rimola;

Accurate 3D fireball trajectory and orbit calculation using the 3D-firetoc automatic Python code

Abstract

ABSTRACT The disruption of asteroids and comets produces cm-sized meteoroids that end up impacting the Earth’s atmosphere and producing bright fireballs that might have associated shock waves or, in geometrically favourable occasions excavate craters that put them into unexpected hazardous scenarios. The astrometric reduction of meteors and fireballs to infer their atmospheric trajectories and heliocentric orbits involves a complex and tedious process that generally requires many manual tasks. To streamline the process, we present a software package called SPMN 3D Fireball Trajectory and Orbit Calculator (3D-firetoc), an automatic Python code for detection, trajectory reconstruction of meteors, and heliocentric orbit computation from video recordings. The automatic 3D-firetoc package comprises of a user interface and a graphic engine that generates a realistic 3D representation model, which allows users to easily check the geometric consistency of the results and facilitates scientific content production for dissemination. The software automatically detects meteors from digital systems, completes the astrometric measurements, performs photometry, computes the meteor atmospheric trajectory, calculates the velocity curve, and obtains the radiant and the heliocentric orbit, all in all quantifying the error measurements in each step. The software applies corrections such as light aberration, refraction, zenith attraction, diurnal aberration, and atmospheric extinction. It also characterizes the atmospheric flight and consequently determines fireball fates by using the α − β criterion that analyses the ability of a fireball to penetrate deep into the atmosphere and produce meteorites. We demonstrate the performance of the software by analysing two bright fireballs recorded by the Spanish Fireball and Meteorite Network (SPMN).

Countries
Spain, Russian Federation
Keywords

Meteors, FOS: Physical sciences, METHODS: DATA ANALYSIS, atmospheres [Plantes and satellites], METHODS: ANALYTICAL, METEORITES, METEORS, METEOROIDS, Plantes and satellites: atmospheres, Methods: data analysis, analytical [Methods], EARTH, Planets and satellites: atmospheres, Methods: analytical, data analysis [Methods], Instrumentation and Methods for Astrophysics (astro-ph.IM), Earth and Planetary Astrophysics (astro-ph.EP), PLANETS AND SATELLITES: ATMOSPHERES, Earth, Meteoroids, atmospheres [Planets and satellites], Astrophysics - Instrumentation and Methods for Astrophysics, Meteorites, Astrophysics - Earth and Planetary Astrophysics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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29
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71
242
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