2022
DOI: 10.1093/mnras/stac032
|View full text |Cite
|
Sign up to set email alerts
|

SORA: Stellar occultation reduction and analysis

Abstract: 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 develo… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 22 publications
(11 citation statements)
references
References 63 publications
0
11
0
Order By: Relevance
“…Abrupt opaque edges models, including the effects of diffraction, finite band width, exposure time and the Gaia DR2 stellar diameter, were fitted to the star dis-and re-appearances behind Quaoar's main body using the procedures within the Stellar Occultation Reduction and Analysis (sora) package 36 . For the ring events, an additional parameter is the apparent ring opacity p ′ that measures the fractional drop of stellar flux.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Abrupt opaque edges models, including the effects of diffraction, finite band width, exposure time and the Gaia DR2 stellar diameter, were fitted to the star dis-and re-appearances behind Quaoar's main body using the procedures within the Stellar Occultation Reduction and Analysis (sora) package 36 . For the ring events, an additional parameter is the apparent ring opacity p ′ that measures the fractional drop of stellar flux.…”
Section: Discussionmentioning
confidence: 99%
“…where r i is the observed distance of the i th data point to the ring center, r ′ i is the corresponding distance of the model (the ellipse) and σ i is the uncertainty on the distance associated with the timing uncertainty of the i th data point. Finally, the σ model parameter accounts for extra uncertainties associated with our model 11,36 , stemming in particular from the unknown shape of Quaoar itself, resulting in model bias on its center position. Considering we have a single chord event that we fit an area equivalent circle of radius 555 km, but Quaoar's shape may be a Maclaurin spheroid 4 with an equatorial radius of 569 km and an oblateness of 0.087, this would cause a bias in the central position typically of ∼27 km, the value we choose for the σ model .…”
Section: Discussionmentioning
confidence: 99%
“…The widespread usage of astroquery is apparent from the range of keywords represented in the journal articles that cite the astroquery paper ; everything from asteroids to galaxies is represented. Additionally, astroquery functionality has been built into several special-purpose Python packages, such as LightKurve (Lightkurve Collaboration et al 2018) and SORA (Gomes-Júnior et al 2022). More than 4,000 repositories on GitHub make use of astroquery in some way, and astroquery features in a large number of tutorials on various facets of astronomical analysis.…”
Section: Connections With Data Archivesmentioning
confidence: 99%
“…As only one chord was recorded, we fitted the centre of the figure ( f 0 , g 0 ), allowing the shape to vary within the Maclaurin spheroid solution proposed by Braga-Ribas et al (2013), with an equatorial radius of 581 +12 −8 km, apparent oblateness varying between 0 and 0.114, and a pole position angle between 0 and 180 degrees. This fit was done using sora, with a method that is fully described in Gomes-Júnior et al (2022). The negative chord was used to eliminate solutions that would result in a positive detection of the occultation by J. Broughton.…”
Section: Geometric Reconstruction Of the Eventmentioning
confidence: 99%