Calculation of the mean orbit of a meteoroid stream

Jopek, T. J.; Rudawska, Regina; Prętka-Ziomek, H.

doi:10.1111/j.1365-2966.2006.10770.x

Cited by 23 publications

(9 citation statements)

References 30 publications

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“…The mean values of the radiant coordinates α g , δ g and the Öpik variables V g , θ, φ are the arithmetic means of the components of the radiant (antiradiant) unit vector and the geocentric velocity vector. The mean values of the orbital elements a , q , e , ω, Ω, i were calculated by the method described in Jopek, Rudawska & Predka‐Ziomek (2006, 2008a,b). When the identified stream consisted of seven or less members, the mean orbital elements were found by the mean arithmetic method.…”

Section: Results Of the Streams Searchingmentioning

confidence: 99%

Meteoroid streams identification amongst 231 Southern hemisphere video meteors

Jopek

Koten

Pećina

2010

Monthly Notices of the Royal Astronomical Society

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In this study, 231 video meteoroid orbits observed at the Southern hemisphere were searched for streams. Several searches have been made using three D‐criteria: DSH, DN and DV. The mutual D‐distances were processed by a cluster analysis algorithm based on the single neighbour linking technique. The values of the meteoroid association thresholds for groups of 2, 3, 4, … members were estimated by the statistical approach. In all three basic searches, about 29–33 per cent of the meteoroid sample turned out to belong to the stream component. The following streams have been detected: η Aquariids (ETA, #31), χ Capricornids (CCA, #420), May Microscopiids (MMI, #421), Northern and Southern Librids‐Luppids (NLL, #422; SLL, #423) and Northern and Southern May Ophiuchids (NOP, #149; SOP, #150). 12 η Aquariids were detected using each D‐function. Their mean orbital elements resemble the orbit of 1P/Haley; however, the mean semimajor axis and the activity time differ significantly from those determined by the other observers. 10 members of χ Capricornids and five members of May Microscopiids were found using the DN function only. For these streams, we did not find any counterparts among the streams listed in the IAU MDC. Our Librids‐Luppids and Ophiuchids form two separate complex groups which consist of 16 and 18 members, respectively. From a viewpoint of the cluster analysis technique, they are reliable significant structures. Our Ophiuchids are similar to the already known Northern and Southern May Ophiuchids. Near the mean radiant of Librids‐Luppids, we do not see any radiant of the known shower. Its possible counterpart, the Southern ω Scorpiids, has a radiant significantly shifted from our Librids‐Luppids. Thus, we consider Librids‐Luppids as a new stream or some new manifestation of the May Ophiuchids Complex. Also, this study has shown us that in case of complex structures, traditional procedures of meteor showers distinction are not sufficient tool to give unambiguous answers.

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Section: Results Of the Streams Searchingmentioning

confidence: 99%

Meteoroid streams identification amongst 231 Southern hemisphere video meteors

Jopek

Koten

Pećina

2010

Monthly Notices of the Royal Astronomical Society

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“…The number of dimensions is thus d = 5. Note that only 4 free orbital parameters are needed for most Earth-impacting meteoroids -the exception are lowinclination meteoroids whose nodal distances may lie outside the vicinity of Earth's orbit (Jopek et al, 2010). Nevertheless, as this peculiarity is naturally present in the dataset, it is organically included in the KDE analysis (together with any other instrument or site-specific biases).…”

Section: Generating Instrumentally Specific Synthetic Meteoroid Orbit...mentioning

confidence: 99%

Generating realistic synthetic meteoroid orbits

Vida

Brown

Campbell-Brown

2017

Icarus

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Context. Generating a synthetic dataset of meteoroid orbits is a crucial step in analysing the probabilities of random grouping of meteoroid orbits in automated meteor shower surveys. Recent works have shown the importance of choosing a low similarity threshold value of meteoroid orbits, some pointing out that the recent meteor shower surveys produced false positives due to similarity thresholds which were too high. On the other hand, the methods of synthetic meteoroid orbit generation introduce additional biases into the data, thus making the final decision on an appropriate threshold value uncertain. Aims. As a part of the ongoing effort to determine the nature of meteor showers and improve automated methods, it was decided to tackle the problem of synthetic meteoroid orbit generation, the main goal being to reproduce the underlying structure and the statistics of the observed data in the synthetic orbits. Methods. A new method of generating synthetic meteoroid orbits using the Kernel Density Estimation method is presented. Several types of approaches are recommended, depending on whether one strives to preserve the data structure, the data statistics or to have a compromise between the two. Results. The improvements over the existing methods of synthetic orbit generation are demonstrated. The comparison between the previous and newly developed methods are given, as well as the visualization tools one can use to estimate the influence of different input parameters on the final data

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“…In brackets the amount of the common members identified by both functions are given. Within each group the orbital elements were averaged by the method described in Jopek et al (2006). Figure 1.…”

Section: Resultsmentioning

confidence: 99%