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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%.
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Pan-STARRS Moving Object Processing System Intro Robert Jedicke Institute for Astronomy University of Hawaii
MOPS MOPS
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
The MOPS Team (IfA) Jim HeasleySenior Professor David TholenSenior Professor
The MOPS Team (External) Steven ChesleyJet Propulson Laboratory Jeremy KubicaCarnegie Mellon Robotics Institute Mikko KaasalainenUniversity of Helsinki Andrea MilaniUniversity of Pisa
The MOPS Team (extended?) ? LSST Software Engineer ? UH ICS Graduate Student
Moving Object Processing System Pan-STARRS Telescopes &Survey ImageProcessingPipeline MOPS
Solar System Surveying Moving Object Processing System Solar System Surveying
Solar System Survey 19:00 HST 00:00 HST 05:00 HST Evening Sweet Spot Opposition Morning Sweet Spot
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
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
Stationary Transient Detection (IPP) 4 Telescopes + Combined Static Transients + Moving +
Moving Object Processing System sub-System Tasks
Intra-Night Linking (Tracklets) First exposure Second exposure • 250 realdetections / deg2 • 250 false detections / deg2
Attributions Legend Tracklets Known Objects
Inter-Night Tracklet Linking (tracks) Legend FirstNight SecondNight ThirdNight FourthNight FifthNight
Initial Orbit Determination Good IOD Bad IOD Legend First Night Second Night Third Night
Differential Orbit Determination OD IOD Legend First Night Second Night Third Night
Moving Object Processing System Simulations
MOPS Synthetic Solar System 10,000
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
Moving Object Processing System Spacewatch Data
Moving Object Processing System Status Summary
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
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
MOPS continuing development Identifying comets in images Extracting tracklet postage stamps Interface w/ impact calculators