Independent identification of meteor showers in EDMOND database

TL;DR

This study utilizes the EDMOND database to identify and classify meteor showers by applying a new clustering and comparison method, revealing both known and potentially new meteor showers.

Contribution

Introduces a novel methodology for independent identification and classification of meteor showers using EDMOND database data.

Findings

Successfully identified known meteor showers

Discovered potential new meteor showers

Validated methodology against IAU list

Abstract

Cooperation and data sharing among national networks and International Meteor Organization Video Meteor Database (IMO VMDB) resulted in European viDeo MeteOr Network Database (EDMOND). The current version of the database (EDMOND 5.0) contains 144 751 orbits collected from 2001 to 2014. In our survey we used EDMOND database in order to identify existing and new meteor showers in the database. In the first step of the survey, using Dsh criterion we found groups around each meteor within similarity threshold. Mean parameters of the groups were calculated and compared using a new function based on geocentric parameters (solar longitude, right ascension, declination, and geocentric velocity). Similar groups were merged into final clusters (representing meteor showers), and compared with IAU Meteor Data Center list of meteor showers. This paper presents the results obtained by the proposed methodology.