The challenge associated with the robust computation of meteor velocities from video and photographic records

Egal, Auriane; Gural, Peter S.; Vaubaillon, Jérémie; Colas, François; Thuillot, W.

doi:10.1016/j.icarus.2017.04.024

Cited by 26 publications

(22 citation statements)

References 22 publications

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“…Thanks to the multiplication of video meteor networks, the number of publicly available meteor orbits is growing quickly, and so it is not surprising to find many meteors with orbits similar to known asteroids or comets. In addition, the uncertainties of meteoroid orbital elements are much higher than expected before, as showed by Egal et al (2017); Vida et al (2018). Nevertheless, the need for parenthood for meteor shower is crucial in order to better perform typical dynamic works such as the exploration of the age of a meteoroid stream or the forecasting of future meteor showers (Abedin et al 2017;Vaubaillon 2017).…”

Section: Introductionmentioning

confidence: 78%

“…Rudawska et al (2012Rudawska et al ( , 2015b have revised such methods but there is still room for improvements, since even the date of ejection of simulated meteoroid stream cannot be found by backward integrations. The main difficulty remains in the comparison of semi-major axis and eccentricity, which are poorly determined (Egal et al 2017;Vida et al 2018). In order to bypass this difficulty, Micheli (2013) compares parent bodies and meteor showers orbits based on the comparison of the velocity and location of the radiant rather than the D sh -criterion.…”

Section: Searching For An Appropriate Methodsmentioning

confidence: 99%

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A robust method to identify meteor showers new parent bodies from the SonotaCo and EDMOND meteoroid orbit databases

Guennoun

Vaubaillon

Čapek

et al. 2019

A&A

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Context. Several new meteor showers are added to the International Astronomical Union (IAU) list of meteor showers every year. Given the multiplication of video meteor measurements new parent bodies are to be found in addition to new showers. Such an endeavor is usually performed by comparing orbital elements, using a high threshold single-linking D sh -criterion. However, questions remain about the accuracy of the method and the veracity of the newly associated parent bodies. Aims. Our goal is to find the presence of new parent bodies in a statistical meaningful way. Methods. A search for parent bodies was performed among SonotaCo and EDMOND databases. The association of asteroids with meteors was based on different methods, discussed and compared below. In addition, a thorough statistical test was performed in order to investigate the possible random associations. Results. A list of potential new parent bodies associated with at least 50 meteors is found. A statistical test was used to show whether the group of meteor orbits and the asteroid is a random coincidence or not. Out of 54 potential new parent bodies, only three new parent bodies are not excluded by the statistical test: 2014 BN 14 , 2015 T X 24 and 2015 QT 3 , with a probability of chance occurrence of 37, 10 and 13%, respectively. This shows the need for rigorous method when searching for the existence of meteor showers and parent bodies. Conclusions. Ideally, such a test (or even better, tests) should be conducted in order to confirm (or not) the current IAU list of meteor showers. Similarly, all meteor orbit data in our databases should ideally be revisited using the latest methods providing a better estimate of the real uncertainty and accuracy of the derived orbits.Article published by EDP Sciences A84, page 1 of 9 A&A 622, A84 (2019)

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Section: Introductionmentioning

confidence: 78%

Section: Searching For An Appropriate Methodsmentioning

confidence: 99%

A robust method to identify meteor showers new parent bodies from the SonotaCo and EDMOND meteoroid orbit databases

Guennoun

Vaubaillon

Čapek

et al. 2019

A&A

Self Cite

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“…the initial velocity at the moment the system first detects the meteor. For the CAMS system, the initial velocities are expected to be closer to the real initial values as they are measured with a more advanced trajectory estimation method using a global fit with time information combined with a deceleration model (Gural 2012), although the real accuracy of this method remains unclear (Egal et al 2017).…”

Section: Simulation Detailsmentioning

confidence: 99%

Modelling the measurement accuracy of pre-atmosphere velocities of meteoroids

Vida

Brown

Campbell-Brown

2018

Monthly Notices of the Royal Astronomical Society

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Many existing optical meteor trajectory estimation methods use the approximation that the velocity of the meteor at the beginning of its luminous phase is equivalent to its velocity before atmospheric entry. Meteoroid kinetic energy loss prior to the luminous phase cannot be measured, but for some masses and entry geometries neglecting this loss may lead to non-negligible deceleration prior to thermal ablation. Using a numerical meteoroid ablation model, we simulate the kinematics of meteoroids beginning at 180 km with initial velocities ranging from 11 km s −1 to 71 km s −1 , and compare model velocities at the moment of detection to measurements. We validate the simulations by comparing the simulated luminous beginning heights with observed beginning heights of different populations of meteors detected with different optical systems. We find that most low-velocity meteoroids have a significant velocity difference of 100 m s −1 to 750 m s −1 (depending on meteoroid type, mass, and observation system). This systematic underestimate of meteoroid speeds also results in systematically lower semi-major axes for meteoroid orbits.

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“…The necessity of high quality orbits of video meteors and precision in their velocity measurements has been discussed by Atreya et al (2012) and Egal et al (2014), who, to make improvements, introduced the CABERNET (Camera for Better Resolution Network) system. The importance of an error analysis was reported by Drolshagen et al (2014) and Albin et al (2015) in their analysis of the meteor velocity distribution from the CILBO (Canary Island Long-Baseline Observatory) double station video camera data.…”

Section: Video Orbits and Their Precisionmentioning

confidence: 99%

Meteoroid orbits from video meteors. The case of the Geminid stream

Hajduková

Koten

Kornoš

et al. 2017

Planetary and Space Science

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We use the Slovak and Czech video meteor observations, as well as video meteoroid orbits collected in the CAMS, SonotaCo, EDMOND and DMS catalogues, for an analysis of the distribution of meteoroid orbits within the stream of the Geminids and of the dispersion of their radiants. We concentrate on the influence of the measurement errors on the precision of the orbits obtained from the video networks that are based on various meteordetection software packages and various meteor orbital element softwares.The Geminids radiant dispersion obtained from the large video catalogues reaches the dispersion of the radio observed Geminids, wherby the diffused marginal regions are affected mostly by meteoroids with extreme values (small or large) of the semi-major axes. Meteoroids of shorter semimajor axes concentrate at the eastern side of the radiant area and those of longer semi-major axes at the western part.The observed orbital dispersions in the Geminid stream described by the median absolute deviation range from 0.029 to 0.042 AU −1 for the video catalogues. The distribution of the semi-major axes of video meteors in all the databases, except for the Ondřejov (Czech) data, seem to be systematically biased in comparison with the photographic and radio meteors. The determined velocities of the video data are underestimated, probably as a consequence of the methods used for the positional and velocity measurements. The largest shift is observed in the EDMOND and SonotaCo catalogues.Except for the measurement errors which influence the analyses and their interpretations, we also point out the problem of the uncertainties of the numerical integration procedures that influence the simulations' results. Several experimental integrations of the Geminids parent asteroid, which we performed from the present to the past and then back to the year 2015, showed that a complete reproduction, including also the mean anomaly, is only possible for a time span of about 2700 years.

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The challenge associated with the robust computation of meteor velocities from video and photographic records

Cited by 26 publications

References 22 publications

A robust method to identify meteor showers new parent bodies from the SonotaCo and EDMOND meteoroid orbit databases

A robust method to identify meteor showers new parent bodies from the SonotaCo and EDMOND meteoroid orbit databases

Modelling the measurement accuracy of pre-atmosphere velocities of meteoroids

Meteoroid orbits from video meteors. The case of the Geminid stream

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