Intro P an- STARRS Moving Object Processing S ystem Robert Jedicke Institute for Astronomy University of Hawaii

MOPS

The MOPS Team (IfA) Robert Jedicke Associate Specialist Joe Masiero Graduate Student Tommy Grav Junior Scientific Researcher Larry Denneau Senior Software Engineer 100% 70% 25% 70% 2.65 FTE

The MOPS Team (IfA) Jim Heasley Senior Professor David Tholen Senior Professor

The MOPS Team (External) Andrea Milani University of Pisa Mikko Kaasalainen University of Helsinki Jeremy Kubica Carnegie Mellon Robotics Institute Steven Chesley Jet Propulson Laboratory

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

Moving Object Processing System Telescopes & Survey Image Processing Pipeline MOPS Pan-STARRS

Solar System Surveying Moving Object Processing System

Solar System Survey Evening Sweet Spot Morning Sweet SpotOpposition 19:00 HST00:00 HST05:00 HST

Solar System Survey Simulator Opposition 660 fields ~4,360 deg 2 Evening/Morning sweet-spots 84 fields each ~550 deg 2 each TOTAL 828 fields ~5,460 deg 2 Ecliptic Longitude w.r.t. Opposition Ecliptic Latitude

Every survey mode obtains at least two images 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 Observing Strategy Every survey mode obtains at least two images 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

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

Moving Object Processing System

Intra-Night Linking (Tracklets) First exposure Second exposure 250 real detections / deg false detections / deg 2

Attributions Legend Tracklets Known Objects

Inter-Night Tracklet Linking (tracks) First Night Second Night Third Night Fourth Night Fifth Night Legend

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

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

Orbit Identification

Moving Object Processing System

MOPS Synthetic Solar System 250,000Near Earth Objects (w/ IEOs, H<25) 10,000,000Main Belt 320,000Trojans (Jupiter) 100,000Trojans (Mars,Saturn,Uranus) 60,000Centaurs 72,000Trans-Neptunian Objects 20,000Scattered Disk Objects Jupiter Family Comets Halley Family Comets 10,000Long Period Comets 0Xtreme Objects 10,842,000TOTAL 10,000

NEO Sky-Plane Density

Sweet-Spot Motion Vectors

Efficiency (old) TypePresentFindableCleanOD Cumulative 30day AREE S09533%87.1%100.0%87.1%0.39 S118265%97.5%100.0%97.5%0.25 St386679%99.9%100.0%99.9%0.30 SC2681%100.0% 0.23 ST3100%100.0% 0.15 SS15592%100.0% 0.12 Sc1164%85.7%100.0%85.7%0.25 XX850%75.0%100.0%75.0%0.38 Total434678%99.6%100.0%99.6%0.29

MOPS Data Collection Interface Synthetic or Real Data MB/100 + everything else realistic survey pattern astrometric error photometric error light curves false detections

MOPS Data Collection Interface

Moving Object Processing System

MOPS Data Collection Interface

Moving Object Processing System

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

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