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Athabasca Alberta 030528 ~0600 UT

Athabasca Alberta 030528 ~0600 UT. Themis-Canada Ground-Based ASI Array. U. Calgary Team & Relevant Experience ASI Prototype (example movies) THEMIS-Canada Web Site ASI Array Deployment (via web site) ASI Data Quality Control ASI Data Summary ASI Data Recovery

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Athabasca Alberta 030528 ~0600 UT

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  1. Athabasca Alberta 030528 ~0600 UT

  2. Themis-Canada Ground-Based ASI Array • U. Calgary Team & Relevant Experience • ASI Prototype (example movies) • THEMIS-Canada Web Site • ASI Array Deployment (via web site) • ASI Data Quality Control • ASI Data Summary • ASI Data Recovery • ASI Data Management, Analysis, Processing • Milestones for THEMIS-Canada real-time at site

  3. Brief History of University of Calgary Space Group Experience • ISIS II Scanning Photometer • Host of ground-based instruments (Phot.; FP; Spect.; First ASI) • CANOPUS (ASI; MSPs; Communications Infrastructure) • Viking UV • Freja UV • Interball II UVAI • Nozomi TPA • Numerous rocket optical and particle instruments • NORSTAR • MIRACLE ASI array (experience via Mikko Syrjäsuo) • Portable Auroral Imager; High Speed Photometer; Induction Coil Mags High-level Technical Support • Kaare Berg (Wilbur; Satellite Instrumentation) • Cliff Marcellus (CANOPUS Network; Flight Control Software) • Titus Mathews Jr. (POCA; Image Compression; EE PhD) • Peter King (Wilbur; Satellite Hardware; RF Engineering) • Greg Enno (Viking, Freja, Interball UVAIs; Flight Control Soft.)

  4. E. Spanswick E. Donovan T. Trondsen • Auroral Observations • Substorm Studies • Machine Vision • Management • Imaging Technology • Field Operations • Communications • Auroral Studies • Riometer Specialist • Substorm Onset (gloria) • Public Relations L. Cogger M. Syrjäsuo N. Partamies • Optical Studies • Management • Technical Support • Financial Support • Imaging Technology • Machine Vision • Field Operations • Database Management • Auroral Dynamics • Substorm Studies • Energy Flux M. Greffen B. Jackel D. Knudsen • Auroral Observations • Information Theory • Database Management • Field Operations • Communications • Field Site Manager • Arctic Operations • Technical Support • Communications • Dense Array • Auroral Studies D. Wallis F. Creutzberg M. Connors • Riometer Guru • Magnetometer Guru • Communications • Field Operations • Photometer Guru • Auroral Observations • Communications • Field Operations • Athabasca Observatory • Magnetometers • Inversion • Quebec Operations?

  5. NORSTAR - Now

  6. NORSTAR - 2007

  7. THEMIS Prototype Camera Starlight Xpress MX716 w/all-sky optics Linux Red Hat 9 w/MX716 driver Image interval 5 sec; 1-sec exposures NORSTAR/MIRACLE imaging code Web server provides real-time access Network time protocol

  8. THEMIS ASI Array Web Site http://www.phys.ucalgary.ca/NORSTAR

  9. Data Summary – Quick access and scientific value

  10. THEMIS Athabasca Alberta

  11. Summary Image Geodetic Grid Mapped Image Raw Image

  12. May 28, 2003: GOES 10 and 12 register dipolarization showing onset West of Fort Smith meridian, consistent with substorm onset in the early evening sector at low geomagnetic latitude.

  13. THEMIS – Data Issues • POCA (Eureka) • Wilbur (Gillam) • RIOMETER • MSP • NORSTAR pre CGSM • NORSTAR – CGSM • THEMIS existing data set (<500 GB) VERY BIG data set STUPIDLY BIG data set • 3 TB disk storage and growing • data summary, display, and analysis software • information theory, and machine vision

  14. THEMIS – Data Recovery Existing high-speed infrastructure Free Free ATHA, CONT, CHUR, INUV, FSMI, …. Broadband Satellite + RF Link 5k 9k/yr FSIM, INUV, FSMI, RANK, PBQ (2005+), … Standard Internet [A]DSL Telus, Manitoba Telecom, Aliant, ….. 0.1k 1k/yr PGEO, ATHA, FLIN, PINA, KAPU, HEBR, CART, …. 4k 2k/yr Telesat HSI Canadian Satellite NOT INUV VSAT Glentel, Nanometrics, PolarSat, Stratos, …. All sites depending on provider 0.1k 1k/yr Dial up to local ISP All sites; Not real time. Hardcopy via traditional mail 1k 1k/yr Never fails (well almost never)!

  15. Telesat High Speed Internet – cost effective, flexible and reliable Each site will have its own IP; summary images will be sent as UDP packets; dropped packets (~1%) retrieved during the day; solution supports direct internet (TCP/IP) access to sites.

  16. THEMIS ASI Array UofC Data Management Name, location, mag midnight, history of operation, … Station Online storage of complete high-res data for subset of nights of greatest interest for mission Top 40 Imager Filters Summary Images Entire Dataset Calibration Data Relational Database -- 130 GB Great big pile of hardcopy in at least two separate locations in Canada and one at UCB. Classification

  17. Milestones for THEMIS-Canada • 5 imagers 2003-2004 • 5 imagers 2004-2005 • 6 imagers 2005-2006 • Complete inventory of infrastructure – 2004 • Real time summary database – 2005

  18. E. Spanswick E. Donovan T. Trondsen • Auroral Observations • Substorm Studies • Machine Vision • Management • Imaging Technology • Field Operations • Communications • Auroral Studies • Riometer Specialist • Substorm Onset (gloria) • Public Relations L. Cogger M. Syrjäsuo N. Partamies • Optical Studies • Management • Technical Support • Financial Support • Imaging Technology • Machine Vision • Field Operations • Database Management • Auroral Dynamics • Substorm Studies • Energy Flux M. Greffen B. Jackel D. Knudsen • Auroral Observations • Information Theory • Database Management • Field Operations • Communications • Field Site Manager • Arctic Operations • Technical Support • Communications • Dense Array • Auroral Studies D. Wallis F. Creutzberg M. Connors • Riometer Guru • Magnetometer Guru • Communications • Field Operations • Photometer Guru • Auroral Observations • Communications • Field Operations • Athabasca Observatory • Magnetometers • Inversion • Quebec Operations?

  19. We now have pixel pointing to better than one degree, are working on calibration and on-board cloud detection using stars…. Image of the Big Dipper obtained by averaging one hour of star frames from the NORSTAR Gillam ASI. Pointing for pixels determined by minimizing the area of celestial objects in transformed co-added images. The transformation utilizes a matrix that is based on parameters that reflect the location, UT, imager orientation (pitch, yaw, etc), and details of the optics. All parameters can be determined directly from the data, provided that celestial objects are visible in the data. This is incredibly efficient, making the tasks at hand easily manageable, rather than virtually impossible.

  20. Machine Vision – Content Based Image Retrieval We are exploring automatic classification of images, rapid retrieval of images from large datasets, and determination of motion of auroral forms, all using sophisticated machine vision techniques. This classification and CBIR exercise reduces each image to a 48 element feature vector.

  21. A classification of 300000 CANOPUS Gillam ASI images yielded these magnetic local time occurrence distributions for arcs, patches and omega bands. This took about 6 hours on a 1.5 GHz pentium. An equivalent manual survey, which yielded the same results, took 4 months of dedicated effort by a student (who miraculously stayed in the field!). This figure from Syrjäsuo and Donovan [Ann. Geophys., in review].

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