Search for shower's duplicates at the IAU MDC. Methods and general results
T. J. Jopek, L. Neslu\v{s}an, R. Rudawska, M. Hajdukov\'a

TL;DR
This paper develops and applies objective cluster-based methods to identify duplicate and false-duplicate meteor showers in the IAU MDC database, improving the accuracy of shower classification.
Contribution
The authors introduce two new cluster analysis methods and similarity functions for detecting duplicates among meteor showers, replacing subjective approaches.
Findings
Discovered 7 new showers with multiple parameter sets.
Achieved full agreement with MDC in 30 cases.
Identified 56 multi-solution showers with no duplicates found.
Abstract
Observers submit both new and known meteor shower parameters to the database of the IAU Meteor Data Center (MDC). It may happen that a new observation of an already known meteor shower is submitted as a discovery of a new shower. Then, a duplicate shower appears in the MDC. On the other hand, the observers may provide data which, in their opinion, is another set of parameters of an already existing shower. However, if this is not true, we can talk about a shower that is a false-duplicate of a known meteor shower. We aim to develop a method for objective detection of duplicates among meteor showers and apply it to the MDC. The method will also enable us to verify whether various sets of parameters of the same shower are compatible and, thus, reveal the false-duplicates. We suggest two methods based on cluster analyses and two similarity functions among geocentric and heliocentric…
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Taxonomy
TopicsGNSS positioning and interference · Atmospheric and Environmental Gas Dynamics · Atmospheric Ozone and Climate
