Dynamical modeling validation of parent bodies associated with newly discovered CMN meteor showers

Šegon, Damir; Vaubaillon, Jérémie; Gural, Peter S.; Vida, Denis; Andreić, Željko; Korlević, K.; Skokić, Ivica

doi:10.1051/0004-6361/201629100

Cited by 15 publications

(10 citation statements)

References 21 publications

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“…The Giotto camera recorded several active jets on the comet's sunlit hemisphere, while the rest of the surface was largely inactive (Emerich et al 1987;Sekanina 1987). The percentage of active area on the nucleus was estimated to be 10% (Keller et al 1987) or 15% (Whipple 1987).…”

Section: Locationmentioning

confidence: 99%

“…The dust's bulk density was estimated to be 0.297 g cm −3 from Vega-2 measurements of the dust scattering (Krasnopolsky et al 1987). From thermal infrared images, the estimated dust albedo decreased from 0.03 to 0.02 for phase angles between 20 • and 50 • (Sekanina 1987).…”

Section: Dustmentioning

confidence: 99%

“…However, we find that the inclusion of these additional particles and their relative weighting when determined empirically does improve model agreement with measurement of several apparitions of the Orionids. We also note that stacking several years of nodal crossing is a common practice in meteor shower simulations; this method has been used by several authors to study the general structure of streams when limited by small-number statistics (e.g., Jenniskens & Vaubaillon 2008;Šegon et al 2017).…”

Section: Computationmentioning

confidence: 99%

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Modeling the past and future activity of the Halleyid meteor showers

Egal

Wiegert

Brown

et al. 2020

A&A

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Context. We present a new numerical model of the η-Aquariid and Orionid meteor showers. Aims. The model investigates the origin, variability, and age of the η-Aquariid and Orionid apparitions from 1985 to the present day in order to forecast their activity over the next several decades. Methods. Through the numerical integration of millions of simulated meteoroids and a custom-made particle weighting scheme, we model the characteristics of every η-Aquariid and Orionid apparition between 1985 and 2050. The modeled showers are calibrated using 35 yr of meteor observations, including the shower activity profiles and interannual variability. Results. Our model reproduces the general characteristics of the present-day η-Aquariids and part of the Orionid activity. Simulations suggest that the age of the η-Aquariids somewhat exceeds 5000 yr, while a greater fraction of the Orionids is composed of older material. The 1:6 mean motion resonance with Jupiter plays a major role in generating some (but not all) Halleyid stream outbursts. We find consistent evidence for a periodicity of 11.8 yr in both the observations and modeled maximum meteor rates for the Orionids. Weaker evidence of a 10.7 yr period in the peak activity for the η-Aquariids needs to be investigated with future meteor observations. The extension of our model to future years predicts no significant Orionid outbursts through 2050 and four significant η-Aquariid outbursts, in 2023, 2024, 2045, and 2046.

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Section: Locationmentioning

confidence: 99%

Section: Dustmentioning

confidence: 99%

Section: Computationmentioning

confidence: 99%

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Modeling the past and future activity of the Halleyid meteor showers

Egal

Wiegert

Brown

et al. 2020

A&A

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“…When a meteoroid enters Earth's atmosphere, it generates a luminous trace known as a meteor. Determining meteor trajectories allows us to determine the origin of the meteoroid (e.g., parent body and age, Drummond 1981;Olsson-Steel 1986;Jenniskens 2006;Šegon et al 2017;Guennoun et al 2019;Ryabova et al 2019). In addition, knowledge of meteoroid flux density can constrain environment models, such as the IMEM2, which helps us to plan safe space activities in the entire solar system (Divine 1993;Lemcke 1997;McBride 1997;Soja et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of meteor positioning from space- and ground-based observations

Chen

Rambaux

Vaubaillon

2020

A&A

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Aims. The knowledge of the orbits and origins derived from meteors is important for the study of meteoroids and of the early solar system. With an increase in nano-satellite projects dedicated to Earth observations or directly to meteor observations (e.g., the Meteorix CubeSat), we investigate the stereoscopic measurement of meteor positions using a pair of cameras, one deployed in space and one on the ground, and aim to understand the accuracy and the main driving factors. This study will reveal the requirements for system setups and the geometry favorable for meteor triangulation. Methods. This Letter presents the principle of the stereoscopic measurement from space and the ground, and an error analysis. Specifically, the impacts of the resolutions of the cameras, the attitude and orbit determination accuracy of the satellite, and the geometry formed by the moving target and observers are investigated. Results. To reach a desirable positioning accuracy of 1 km it is necessary to equip the satellite with high-accuracy sensors (e.g., star tracker and GPS receiver) to perform fine attitude and orbit determination. The best accuracy can occur when the target is at an elevation of 30° with respect to the ground station.

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“…A list of meteor showers from observations of the International Meteor Organization (IMO) Video Meteor Network was published by Arlt & Rendtel (2006, 2007, Molau & Rendtel (2009), and the most recent, updated, comprehensive version by Molau (2014). There are many reports confirming individual showers or announcing the detection of a new shower based on observations of national video systems or networks (e.g., Ueda & Okamoto 2008;Jopek et al 2010;Holman & Jenniskens 2012;Zoladek & Wisniewski 2012;Andreić et al 2013;Koukal et al 2014;Šegon et al 2013). The most recent series of papers by Jenniskens et al (2016a,c,b), based on the CAMS system, provides exhaustive information on the current status of announced meteor showers.…”

Section: Introductionmentioning

confidence: 99%

Separation and confirmation of showers

Neslušan

Hajduková

2017

A&A

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Aims. Using IAU MDC photographic, IAU MDC CAMS video, SonotaCo video, and EDMOND video databases, we aim to separate all provable annual meteor showers from each of these databases. We intend to reveal the problems inherent in this procedure and answer the question whether the databases are complete and the methods of separation used are reliable. We aim to evaluate the statistical significance of each separated shower. In this respect, we intend to give a list of reliably separated showers rather than a list of the maximum possible number of showers. Methods. To separate the showers, we simultaneously used two methods. The use of two methods enables us to compare their results, and this can indicate the reliability of the methods. To evaluate the statistical significance, we suggest a new method based on the ideas of the break-point method.Results. We give a compilation of the showers from all four databases using both methods. Using the first (second) method, we separated 107 (133) showers, which are in at least one of the databases used. These relatively low numbers are a consequence of discarding any candidate shower with a poor statistical significance. Most of the separated showers were identified as meteor showers from the IAU MDC list of all showers. Many of them were identified as several of the showers in the list. This proves that many showers have been named multiple times with different names. Conclusions. At present, a prevailing share of existing annual showers can be found in the data and confirmed when we use a combination of results from large databases. However, to gain a complete list of showers, we need more-complete meteor databases than the most extensive databases currently are. We also still need a more sophisticated method to separate showers and evaluate their statistical significance.

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Dynamical modeling validation of parent bodies associated with newly discovered CMN meteor showers

Cited by 15 publications

References 21 publications

Modeling the past and future activity of the Halleyid meteor showers

Modeling the past and future activity of the Halleyid meteor showers

Accuracy of meteor positioning from space- and ground-based observations

Separation and confirmation of showers

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