Research Article
The Automatic Detection of Near-Earth Asteroids in Co-orbital State with Terrestrial Planets by Implementing Motif Discovery Algorithm
@INPROCEEDINGS{10.4108/eai.12-10-2019.2296272, author={Judhistira Aria Utama and Lala Septem Riza and Muhammad Naufal Fazanadi and Taufiq Hidayat}, title={The Automatic Detection of Near-Earth Asteroids in Co-orbital State with Terrestrial Planets by Implementing Motif Discovery Algorithm}, proceedings={Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia}, publisher={EAI}, proceedings_a={MSCEIS}, year={2020}, month={7}, keywords={co-orbital state mean-motion resonance motif discovery near-earth asteroids orbital elements}, doi={10.4108/eai.12-10-2019.2296272} }- Judhistira Aria Utama
Lala Septem Riza
Muhammad Naufal Fazanadi
Taufiq Hidayat
Year: 2020
The Automatic Detection of Near-Earth Asteroids in Co-orbital State with Terrestrial Planets by Implementing Motif Discovery Algorithm
MSCEIS
EAI
DOI: 10.4108/eai.12-10-2019.2296272
Abstract
Orbital computation of 3,372 real near-Earth asteroids (NEAs) population was conducted and their evolution was recorded every 1,000 years for the next 5 Megayears (Myr). This study is aimed to detect asteroids in 1:1 mean-motion resonance (MMR) with planets. In order to achieve our goal, we employed N-body numerical simulation with the use of Swift-RMVS (Regularized Mixed-Variable Symplectic) integrator. We found that NEAs population could have evolved into asteroids in a co-orbital state with Terrestrial planets (Mercury to Mars). In order to detect this co-orbital condition, the time-series motif discovery algorithm was applied against asteroids‘ orbital element. The predicted motif location and duration of 1:1 MMR were then compared with one of the standard software in astronomy that showed conformity of results greater than 80%.
