1 / 36

Intro

P an- STARRS Moving Object Processing S ystem. Intro. Robert Jedicke Institute for Astronomy University of Hawaii. MOPS. MOPS. The MOPS Team (IfA). 100%. Larry Denneau Senior Software Engineer. 70%. Tommy Grav Junior Scientific Researcher. 25%. Joe Masiero Graduate Student. 70%.

oleg
Download Presentation

Intro

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Pan-STARRS Moving Object Processing System Intro Robert Jedicke Institute for Astronomy University of Hawaii

  2. MOPS MOPS

  3. The MOPS Team (IfA) 100% Larry DenneauSenior Software Engineer 70% Tommy GravJunior Scientific Researcher 25% Joe MasieroGraduate Student 70% Robert JedickeAssociate Specialist 2.65 FTE

  4. The MOPS Team (IfA) Jim HeasleySenior Professor David TholenSenior Professor

  5. The MOPS Team (External) Steven ChesleyJet Propulson Laboratory Jeremy KubicaCarnegie Mellon Robotics Institute Mikko KaasalainenUniversity of Helsinki Andrea MilaniUniversity of Pisa

  6. The MOPS Team (extended?) ? LSST Software Engineer ? UH ICS Graduate Student

  7. Moving Object Processing System Pan-STARRS Telescopes &Survey ImageProcessingPipeline MOPS

  8. Solar System Surveying Moving Object Processing System Solar System Surveying

  9. Solar System Survey 19:00 HST 00:00 HST 05:00 HST Evening Sweet Spot Opposition Morning Sweet Spot

  10. Solar System Survey Simulator Opposition 660 fields ~4,360 deg2 TOTAL 828 fields ~5,460 deg2 Ecliptic Latitude Evening/Morning sweet-spots 84 fields each ~550 deg2 each Ecliptic Longitude w.r.t. Opposition

  11. Observing Strategy • Every survey mode obtains at least twoimages at each location separated by a Transient Time Interval (15-30 minutes) • serendipitous positions & colours • Solar system survey re-visits each location after 3-6 days • obtain 3-4 nights/month • ~12 day arc • Every survey mode obtains at least twoimages at each location separated by a Transient Time Interval (15-30 minutes) • serendipitous positions & colours • Solar system survey re-visits each location after 3-6 days • obtain 3-4 nights/month • ~12 day arc

  12. Stationary Transient Detection (IPP) 4 Telescopes + Combined Static Transients + Moving +

  13. Moving Object Processing System sub-System Tasks

  14. Intra-Night Linking (Tracklets) First exposure Second exposure • 250 realdetections / deg2 • 250 false detections / deg2

  15. Attributions Legend Tracklets Known Objects

  16. Inter-Night Tracklet Linking (tracks) Legend FirstNight SecondNight ThirdNight FourthNight FifthNight

  17. Initial Orbit Determination Good IOD Bad IOD Legend First Night Second Night Third Night

  18. Differential Orbit Determination OD IOD Legend First Night Second Night Third Night

  19. Orbit Identification

  20. Moving Object Processing System Simulations

  21. MOPS Synthetic Solar System 10,000

  22. NEO Sky-Plane Density

  23. Sweet-Spot Motion Vectors

  24. Efficiency (old)

  25. MB/100 + everything else • realistic survey pattern • astrometric error • photometric error • light curves • false detections MOPS Data Collection Interface http://mopsdc.ifa.hawaii.edu/ Synthetic or Real Data

  26. MOPS Data Collection Interface

  27. MOPS Data Collection Interface

  28. MOPS Data Collection Interface

  29. Moving Object Processing System Spacewatch Data

  30. MOPS Data Collection Interface

  31. MOPS Data Collection Interface

  32. Moving Object Processing System Status Summary

  33. MOPS sub-system prototypes Intra-night linking of detections Attribution Inter-night linking of tracklets Initial orbit determination Differential orbit determination Orbit identification Precovery search Efficiency Determinator

  34. MOPS continuing development IPP Interfaces PSPSPS Interfaces Orbit clean-up / maintenance Simulating different survey strategies Incorporating Milani code Develop testing / regression suite More tests on real survey data Identifying asteroids in images

  35. MOPS continuing development Identifying comets in images Extracting tracklet postage stamps Interface w/ impact calculators

  36. Wishes @ despair.com

More Related