Physics

Occultation

Python (programming language)

Ephemeris

Biology

Operating system

Data mining

Astronomy

Stars

Data reduction

Astrometry

Paleontology

Satellite

Context (archaeology)

Computer science

Astrophysics

Solar System

Spacecraft

Monthly Notices of the Royal Astronomical Society

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 catalogues, 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.

SORA: Stellar occultation reduction and analysis