2017A&A...598A..40N


C.D.S. - SIMBAD4 rel 1.7 - 2020.07.04CEST02:34:36

2017A&A...598A..40N - Astronomy and Astrophysics, volume 598A, 40-40 (2017/2-1)

Separation and confirmation of showers.

NESLUSAN L. and HAJDUKOVA M.

Abstract (from CDS):

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.

Abstract Copyright: © ESO, 2017

Journal keyword(s): meteorites, meteors, meteoroids - catalogs - methods: data analysis

VizieR on-line data: <Available at CDS (J/A+A/598/A40): tablea1.dat tablea2.dat>

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2020.07.04-02:34:36

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