Published January 1, 2022
| Version v1
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SORA: Stellar occultation reduction and analysis
Creators
- 1. Lab Juterinst e Astron LIneA & INGT e Universo, Rua Gal Jose Cristino 77, BR-20921400 Rio De Janeiro, RJ, Brazil
- 2. Univ PSL, Sorbonne Univ, Univ Paris Diderot, LESIA,Observ Paris,Sorbonne Paris Cite,CNRS, 5 Pl Jules Janssen, F-92195 Meudon, France
Description
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.
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