• DocumentCode
    711163
  • Title

    Development of the science data system for the international space station Cold Atom Lab

  • Author

    van Harmelen, Chris ; Soriano, Melissa

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2015
  • fDate
    7-14 March 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Cold Atom Laboratory (CAL) is a facility that will enable scientists to study ultra-cold quantum gases in a microgravity environment on the International Space Station (ISS) beginning in 2016. The primary science data for each experiment consists of two images taken in quick succession. The first image is of the trapped cold atoms and the second image is of the background. The two images are subtracted to obtain optical density. These raw Level 0 atom and background images are processed into the Level 1 optical density data product, and then into the Level 2 data products: atom number, Magneto-Optical Trap (MOT) lifetime, magnetic chip-trap atom lifetime, and condensate fraction. These products can also be used as diagnostics of the instrument health. With experiments being conducted for 8 hours every day, the amount of data being generated poses many technical challenges, such as downlinking and managing the required data volume. A parallel processing design is described, implemented, and benchmarked. In addition to optimizing the data pipeline, accuracy and speed in producing the Level 1 and 2 data products is key. Algorithms for feature recognition are explored, facilitating image cropping and accurate atom number calculations.
  • Keywords
    aerospace computing; feature extraction; image recognition; magneto-optical devices; parallel processing; CAL; ISS; International Space Station; International Space Station Cold Atom Lab; MOT lifetime; accuracy optimization; atom number; atom number calculations; background image processing; condensate fraction; data pipeline optimization; data volume downlinking; data volume management; feature recognition; image cropping; instrument health diagnostics; level-1 optical density data product; level-2 data products; magnetic chip-trap atom lifetime; magneto-optical trap lifetime; microgravity environment; optical density; parallel processing design; primary science data; raw level-0 atom; science data system development; speed optimization; trapped cold atoms; ultracold quantum gases; Atom optics; Biomedical optical imaging; Clouds; Data systems; Instruments; Optical filters; Optical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2015 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4799-5379-0
  • Type

    conf

  • DOI
    10.1109/AERO.2015.7118928
  • Filename
    7118928