SORA: Stellar occultation reduction and analysis

Creative Commons License

Gomes-Junior A. R., Morgado B. E., Benedetti-Rossi G., Boufleur R. C., Rommel F. L., Banda-Huarca M., ...Daha Fazla

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, cilt.511, sa.1, ss.1167-1181, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 511 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1093/mnras/stac032
  • Dergi Adı: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, INSPEC, Metadex, zbMATH, DIALNET, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1167-1181
  • Anahtar Kelimeler: methods: data analysis, software: data analysis, occultations, ASTROMETRY, ATMOSPHERE, RADIUS, RINGS, PACKAGE, BODIES, PLUTO, SHAPE, SIZE
  • Akdeniz Üniversitesi Adresli: Evet

Özet

The stellar occultation technique provides competitive accuracy in determining the sizes, shapes, astrometry, etc., of the occulting body, comparable to in-situ observations by spacecraft. With the increase in the number of known Solar system objects expected from the LSST, the highly precise astrometric catalogs, such as Gaia, and the improvement of ephemerides, occultations observations will become more common with a higher number of chords in each observation. In the context of the Big Data era, we developed sora, an open-source python library to reduce and analyse stellar occultation data efficiently. It includes routines from predicting such events up to the determination of Solar system bodies' sizes, shapes, and positions.