A-Track: A new approach for detection of moving objects in FITS images

Atay T., KAPLAN M., Kilic Y., Karapinar N.

COMPUTER PHYSICS COMMUNICATIONS, cilt.207, ss.524-530, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 207
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.cpc.2016.07.023
  • Dergi Adı: COMPUTER PHYSICS COMMUNICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.524-530
  • Anahtar Kelimeler: Line detection, Minor planets, Asteroids, Image processing
  • Akdeniz Üniversitesi Adresli: Evet

Özet

We have developed a fast, open-source, cross-platform pipeline, called A-Track, for detecting the moving objects (asteroids and comets) in sequential telescope images in FITS format. The pipeline is coded in Python 3. The moving objects are detected using a modified line detection algorithm, called MILD. We tested the pipeline on astronomical data acquired by an SI-1100 CCD with a 1-meter telescope. We found that A-Track performs very well in terms of detection efficiency, stability, and processing time. The code is hosted on GitHub under the GNU GPL v3 license.