Analyzing Meteoroid Flights Using Particle Filters

Sansom, Eleanor K.; Rutten, Mark; Bland, P. A.

doi:10.3847/1538-3881/153/2/87

Cited by 14 publications

(16 citation statements)

References 26 publications

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“…Only 6 shutter breaks are resolvable on the image after the explosion on the Billa Kalina image, all < 4 • on the horizon. Using the particle filter method of Sansom et al (2017) on these data, we find that the main mass at this stage was only a couple of kilograms at the most. We are only able to track down to 33.4 km at 8.4 km s −1 .…”

Section: Dn150102 01 -Kalabitymentioning

confidence: 97%

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Observation of metre-scale impactors by the Desert Fireball Network

Devillepoix

Bland

Sansom

et al. 2018

Monthly Notices of the Royal Astronomical Society

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The Earth is impacted by 35-40 metre-scale objects every year. These meteoroids are the low mass end of impactors that can do damage on the ground. Despite this they are very poorly surveyed and characterised, too infrequent for ground based fireball observation efforts, and too small to be efficiently detected by NEO telescopic surveys whilst still in interplanetary space. We want to evaluate the suitability of different instruments for characterising metre-scale impactors and where they come from. We use data collected over the first 3 years of operation of the continent-scale Desert Fireball Network, and compare results with other published results as well as orbital sensors. We find that although the orbital sensors have the advantage of using the entire planet as collecting area, there are several serious problems with the accuracy of the data, notably the reported velocity vector, which is key to getting an accurate pre-impact orbit and calculating meteorite fall positions. We also outline dynamic range issues that fireball networks face when observing large meteoroid entries.

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Section: Dn150102 01 -Kalabitymentioning

confidence: 97%

“…The particle filter method of Sansom et al (2017) can also be used to put a lower bound on the initial mass of the meteoroid. The near lack of deceleration before the main explosion implies that the mass to cross-section area ratio was large.…”

Section: Dn150102 01 -Kalabitymentioning

confidence: 99%

Observation of metre-scale impactors by the Desert Fireball Network

Devillepoix

Bland

Sansom

et al. 2018

Monthly Notices of the Royal Astronomical Society

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“…While the method of Sansom et al. () was still in development at the time of the fall, the reanalysis of the fireball with this new technique is remarkably consistent with the main mass found, requiring just a small number of high‐quality astrometric data points. This validates the method, and will drastically reduce the search area for future observed falls.…”

Section: Discussionmentioning

confidence: 75%

“…The initiation of other filter parameters, including the multimodal density distribution, are described in Sansom et al. () with ranges given in table of their work. As a calibrated light curve was not attainable, brightness values were not included in this analysis, making it a purely dynamic solution.…”

Section: Fireball Trajectory Analysismentioning

confidence: 99%

The Dingle Dell meteorite: A Halloween treat from the Main Belt

Devillepoix

Sansom

Bland

et al. 2018

Meteorit & Planetary Scien

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We describe the fall of the Dingle Dell (L/LL 5) meteorite near Morawa in Western Australia on October 31, 2016. The fireball was observed by six observatories of the Desert Fireball Network (DFN), a continental‐scale facility optimized to recover meteorites and calculate their pre‐entry orbits. The 30 cm meteoroid entered at 15.44 km s−1, followed a moderately steep trajectory of 51° to the horizon from 81 km down to 19 km altitude, where the luminous flight ended at a speed of 3.2 km s−1. Deceleration data indicated one large fragment had made it to the ground. The four person search team recovered a 1.15 kg meteorite within 130 m of the predicted fall line, after 8 h of searching, 6 days after the fall. Dingle Dell is the fourth meteorite recovered by the DFN in Australia, but the first before any rain had contaminated the sample. By numerical integration over 1 Ma, we show that Dingle Dell was most likely ejected from the Main Belt by the 3:1 mean motion resonance with Jupiter, with only a marginal chance that it came from the ν6 resonance. This makes the connection of Dingle Dell to the Flora family (currently thought to be the origin of LL chondrites) unlikely.

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“…With c d = drag coefficient, c h = heat-transfer coefficient, H = destruction, enthalpy by kg, ρ atm = gas density, M = meteoroid mass, M e = pre-entry mass, S = middle section area, S e = pre-entry middle section area, µ = shape change coefficient, we These four parameters can be reduced to three if only the deceleration of the meteoroid is considered, and not its mass loss (Sansom et al 2017). After Turchak & Gritsevich (2014) Eqs.…”

Section: Deceleration Modelmentioning

confidence: 99%

Calibration of fish-eye lens and error estimation on fireball trajectories: application to the FRIPON network

Jeanne

Colas

Zanda

et al. 2019

A&A

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Context. Fireball networks are developing over the whole planet, with the aim of recovering meteorites and at the same time determining their orbits. The ultimate goal of such networks is to identify the parent bodies of meteorite families to achieve this, orbit accuracy is critical. Yet, the determination of an orbit relies on a long and complex reduction process including: (1) astrometry, with heavy distortion for fish-eye lenses, (2) estimation of the external bias on the observation, (3) fit of the trajectory, (4) deceleration model, and (5) actual orbit computation. Aims. Our goal is to compute accurate trajectories with an estimate of internal and external errors as realistic as possible, taking advantage of the dense observation network FRIPON (Fireball Recovery and InterPlanetary Observation Network), which comprises more than 100 cameras in France and Europe. In particular, we pay special attention to the distortion of images due to fish-eye lenses. In the present paper, we describe the analytical protocol that allows us to compute trajectories and their uncertainties. Methods. We developed a general distortion model to be used on the FRIPON fish-eye cameras. Such a model needs to be accurate even at low elevation, as most fireball observations are performed low on the horizon. The radial distortion is modelled by a nine-degree odd polynomial, hence by five parameters. In addition, we used three parameters to describe the geometry of the camera and two for non-symmetrical distortion. Lastly, we used a new statistical method taking systematic errors into account, which allows us to compute realistic confidence intervals. We tested our method on a fireball that fell on 2017-08-94 UT 00:06. Results. The accuracy of our astrometrical model for each camera is 2 arcmin (1σ), but the internal error on the fireball of 2017-08-94 UT 00:06 measurement is 0.7 arcmin (better than 1/10 pixel). We developed a method to estimate the external error considering that each station is independent and found it equal to 0.8 arcmin. Real residuals are coherent with our estimation of internal and external error for each camera, which confirms the internal consistency of our method. We discuss the advantages and disadvantages of this protocol.

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Analyzing Meteoroid Flights Using Particle Filters

Cited by 14 publications

References 26 publications

Observation of metre-scale impactors by the Desert Fireball Network

Observation of metre-scale impactors by the Desert Fireball Network

The Dingle Dell meteorite: A Halloween treat from the Main Belt

Calibration of fish-eye lens and error estimation on fireball trajectories: application to the FRIPON network

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