Conference item
The pipeline for the ExoMars DREAMS scientific data archiving
- Abstract:
- DREAMS (Dust Characterisation, Risk Assessment, and Environment Analyser on the Martian Surface) is a payload accommodated on the Schiaparelli Entry and Descent Module (EDM) of ExoMars 2016, the ESA and Roscosmos mission to Mars (Esposito (2015), Bettanini et al. (2014)). It is a meteorological station with the additional capability to perform measurements of the atmospheric electric fields close to the surface of Mars. The instrument package will make the first measurements of electric fields on Mars, providing data that will be of value in planning the second ExoMars mission in 2020, as well as possible future human missions to the red planet. This paper describes the pipeline to convert the raw telemetries to the final data products for the archive, with associated metadata.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, 1.1MB, Terms of use)
-
- Publication website:
- https://www.aspbooks.org/a/volumes/article_details/?paper_id=38985
Authors
- Publisher:
- Astronomical Society of the Pacific
- Host title:
- Astronomical Data Analysis Software and Systems XXVI
- Pages:
- 108-111
- Series:
- Astronomical Society of the Pacific Conference Series
- Series number:
- 521
- Publication date:
- 2019-12-31
- Acceptance date:
- 2016-11-20
- Event title:
- Astronomical Data Analysis Software and Systems XXVI
- Event location:
- Trieste, Italy
- Event website:
- http://www.adass2016.inaf.it/
- Event start date:
- 2016-10-16
- Event end date:
- 2016-10-18
- ISSN:
-
1050-3390
- EISBN:
- 9781583819302
- ISBN:
- 9781583819296
- Language:
-
English
- Keywords:
- Pubs id:
-
1075478
- Local pid:
-
pubs:1075478
- Deposit date:
-
2021-01-19
Terms of use
- Copyright holder:
- Astronomical Society of the Pacific
- Copyright date:
- 2019
- Rights statement:
- © 2019 Astronomical Society of the Pacific.
- Notes:
- This paper was presented at Astronomical Data Analysis Software and Systems XXVI, 16-20 October, 2016, Trieste, Italy. This is the accepted manuscript version of the paper. The final version is available online from the Astronomical Society of the Pacific at: https://www.aspbooks.org/a/volumes/article_details/?paper_id=38985
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