Bachtiar, Anwar (2009) AUTOMATIC DECTECTION OF CORONAL MASS EJECTION FOR SPACE WEATHER. Seminar Nasional Penelitian, Pendidikan, dan Penerapan MIPA 2009. ISSN 978-979-96880-5-7
|
Text
M_Komp_1_Bachtiar Anwar.pdf Download (165kB) | Preview |
Abstract
Coronal mass ejection (CME) is an important event that influences significantly the condition in interplanetary space as well as the Earth’s magnetosphere. A traditional effort to detect CME event is by visual inspection of coronagraph images sequentially. In order to support space weather related services at LAPAN, computer software is developed to detect automatically the event based on running difference images of coronagraph data taken by LASCO (Large Angle and Spectrometric Coronagraph Experiment) instrument aboard SOHO (Solar and Heliospheric Observatory) spacecraft. The intensity profiles of selected area at several locations around the occulting disk are extracted from the running difference images. CME event will be identified when there is abruptly change in the intensity profile at particular position around the occulting disk. The time and location are recorded into a file for further verification. As an initial experiment, the procedures were applied to LASCO data taken in November 2003. This paper describes the methods, software development as well as the preliminary results of CME detection.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | coronal mass ejection, space weather, coronagraph, software development |
| Subjects: | Prosiding > Seminar Nasional Penelitian, Pendidikan, dan Penerapan MIPA 2009 |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Pendidikan Matematika > Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Pendidikan Matematika > Pendidikan Matematika |
| Depositing User: | Eprints |
| Date Deposited: | 04 Mar 2015 02:25 |
| Last Modified: | 08 Mar 2019 06:21 |
| URI: | http://eprints.uny.ac.id/id/eprint/12251 |
Actions (login required)
 |
View Item |