2008 march 11-14mops training session, tucson, az1 training session, tucson the pan-starrs moving...

2008 March 11-14 MOPS Training Session, Tucson, AZ 1

Training Session, Tucson

The Pan-STARRSMoving Object Processing System


Thanks

• LSSTC


Introductions


Policies

• Tuesday– No cell phones, laptops, etc.

• Wednesday, Thursday, Friday– Whatever

• Parking Passes


Schedule

• Tuesday Morning– MOPS Overview

• Tuesday Afternoon– MOPS Simulation Training

• Wednesday, Thursday, Friday– MOPS Simulation running


MOPS Collaborating Institutions

• Institute for Astronomy (IfA)• Large Synoptic Survey Telescope (LSST)• University of Pisa• Jet Propulsion Lab (JPL) • Carnegie Mellon University,

Robotics Institute AUTON Laboratory• Minor Planet Center (MPC)• Spacewatch• University of Helsinki


MOUs (existent)

• JPLDifferential Orbit Determination & Ephemeris Generation

• LSSTTwo year software engineer (Pierfederici)

• NEODysIOD and 2-night linking

• SpacewatchTargeted follow-up of interesting objects


MOUs (in negotiations)

•MROTargeted follow-up of interesting objects


The MOPS Team (IfA)

Robert JedickeMOPS Manager, IfA Specialist

Joe MasieroGraduate Student

Tommy GravJunior Scientific Researcher

Larry DenneauSenior Software Engineer

now at JHU


The MOPS Team (IfA)

Jim HeasleySenior Professor

David TholenSenior Professor

Richard WainscoatSpecialist, UH Telescope Support, Associate Chair


The MOPS Team (extended)

Francesco PierfedericiLSST Software Engineer

Daniel ChangUH ICS Graduate Student


The MOPS Team (External)

Andrea MilaniUniversity of Pisa

Mikko KaasalainenUniversity of Helsinki

Jeremy KubicaCarnegie Mellon Robotics Institute

Steven ChesleyJet Propulson Laboratory


MOPS Workload

Pan-STARRS Management


Pan-STARRS Solar System


• PS4 will find as many asteroids in one lunation as have been identified since the discovery of Ceres in 1801

Asteroids


PS4 & NEOs

• Tens of thousands of NEOs


• 10,000,000 MB objects in ten years

PS4 & the Main Belt


PS4 & Comets

• Pan-STARRS will find ~10X as many comets per year as all existing surveys

• 1,000’s of comets in ten years operation

• INTERSTELLAR ! ! !


PS4 & TNOs

• ~20,000 TNOs


PS4 & Distant PlanetsJewitt 2003, ‘Project Pan-STARRS and the Outer Solar System,’ EMP

New Plutos320AU New Earths

620AU (50AU)

New Neptunes1230AU (130AU)

New Jupiters2140AU (340AU)


PS4 Minor Planet Summary

0

1

2

3

4

5

6

7

8

1 2 3 4 5 6 7 8 9 10

Series1

Series2

Series3

1

10,000,000

1,000,000

100,000

10,000

1,000

100

10

Known

PS 1 Year

PS 10 Years

NEO

/ PH

OM

ain B

eltJovian

Trojans

Oth

er Trojans

Cen

taurs

Com

etsTN

Os

Wid

e TNO

Bin

aries

Com

pan

ions

Interstellar V

isitors


MOPS Overview

• Identify known objects

• Discover new objects

• Derive observable parameters

• Catalogue objects

• Enable solar system science


Terminology Review:

• Single Occurrence Transient = SOT– A detection that is not at the same position as any other

known stationary object in the past 30 (TBR) days

• High S/N (HSD) Detection– A detection that has a high probability of being a real

object (~>5)

• Low S/N (LSD) Detection– A detection that has a low probability of being a real

object (~>3)

• Data Collection = DC = DB = Database– A generalized database


Terminology Review:

• Observing Cycle = OC– Integer number incrementing @ 0 UT on day

closest to full moon

• Synthetic Object– An artificial object with orbital and shape

parameters

• Derived Object– A synthetic or real object and its parameters

derived from observations


Terminology Review:• Detection (not an SOT)

– A statistically significant collection of pixels after image convolution with a shape kernel

• Tracklet– A set of 2 detections that may be observations

of the same object

• Track– A set of 2 tracklets that may be observations

of the same object

• Orbit– A six parameter representation of the

heliocentric path of an object


Terminology Review:


Terminology Review:

Evening Sweet Spot Morning Sweet SpotOpposition


MOPS Top Level Design

Seamlessly combine existing softwareinto an operational system.


AttributionAttribution

Intra-night Linking

Intra-night Linking

OrbitDeterminati

on

OrbitDeterminati

on

Inter-night

Linking

Inter-night

Linking

Identification

Identification

PrecoveryPrecovery

TransientDetections

TransientDetections

SyntheticSolar

System

SyntheticSolar

System

Meta-data

Meta-data

DatabaseDatabase

PublishedObjects

PublishedObjects GUI

GUI UsersUsersImpact

RiskAnalysis

Impact Risk

AnalysisMPC

MPC

MOPS Top Level Design

Two-Night Linking

Two-Night Linking


Transient Detection (IPP)

+

+

+

Combined

4 Telescopes

Static

Transients

Stationary

Moving


Intra-Night Linking (Tracklets)

First exposureSecond exposure

• 250 real detections / deg2

• 250 false detections / deg2


Attributions

Legend

TrackletsKnown Objects


Inter-Night Tracklet Linking (tracks)

FirstNight

SecondNight

ThirdNight

FourthNight

FifthNight

Legend


Multiple Hypothesis Testing

O(n2)


kd-tree solution

O(n log n)


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


PS1 Review: DRM Surveys

DRM = PS1Design Reference Mission


PS1 Review: DRM Surveys

>61% of time amenable to discovery of solar system objects.

Some of the other surveys can also identify solar system objects.


PS1 Review: Filters

g r i z y


PS1 Review: w filter

g r i

w~g+r+i


PS1 Review: Bandpasses


PS1 Review: Sensitivities

The trailed NEO single exposure sensitivityis equivalent to V=23 in g, r, and i bands.

The discovery of ‘tracklets’ is equivalentto a 5 sigma limiting magnitude of V=22.8


PS1 Review: Sky-Plane Tesselation

Outside view of the celestial sky tesselated into 6252 fields. Of these fields, 5464 have boresight centers > -30° Declination.

The 3° field of view of PS1 with an inscribed hexagon of 5.84 square degrees.

The twenty percent overlap from a single tesselation due to the circular field of view.


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


PS1 Review: 3 Survey

-30 dec

+90 dec

Equator

Opposition15 deg= 1 hr

210 deg = 14 hrs


PS1 Review: 3 Survey Annual


PS1 Review: Solar System Survey

multiple filters

60°×120° 3 survey

61% solar system surveying (g+r+i)5% sweet spot surveying (w?)

Dark and grey time

All photometric + non-photometric nights

P&A & SweetSpots w/ TTI paired images

NICE BALANCE BETWEEN SCIENCE SURVEYS


MOPS TAO Survey Simulations

Evening/Morning sweet-spots84 fields each

~550 deg2 each

Opposition660 fields

~4,360 deg2

TOTAL828 fields

~5,460 deg2

Ecliptic Longitude w.r.t. Opposition

Ecl

ipti

c La

titu

de


Next Generation Solar System Survey Simulation

NEO rates of motion



NEO longitudinal rates:+0.65˚/day in sweet-spots-0.30˚/day at edge of opp.



RA

Decl

inati

on

First night

Second night

Third night

+0.65˚/day

Sweet-Spot



RA

Decl

inati

on

First night

Second night

Third night

-0.3˚/day

Opposition



Region

Sch

edulin

g E

ffici

ency


MOPS Synthetic Solar System

250,000 Near Earth Objects (w/ IEOs, H<25)

10,000,000 Main Belt

320,000 Trojans (Jupiter)

100,000 Trojans (Mars,Saturn,Uranus)

60,000 Centaurs

72,000 Trans-Neptunian Objects

20,000 Scattered Disk Objects

Jupiter Family Comets

Halley Family Comets

10,000 Long Period Comets

0 Xtreme Objects

10,842,000 TOTAL

10,000


NEO Sky-Plane Density


Sweet-Spot Motion Vectors



Intra-night Linking

Intra-night Linking

OrbitDeterminati

on

OrbitDeterminati

on

Inter-night

Linking

Inter-night

Linking

Identification

Identification

PrecoveryPrecovery

TransientDetections

TransientDetections

SyntheticSolar

System

SyntheticSolar

System

Meta-data

Meta-data

DatabaseDatabase

PublishedObjects



RiskAnalysis

Impact Risk

AnalysisMPC

MPC

MOPS Sub-System Efficiency

>99% >98% >90%

>90 %>90 %

?? %

Two-Night Linking

Two-Night Linking?? %



Intra-night Linking

Intra-night Linking

OrbitDeterminati

on

OrbitDeterminati

on

Inter-night

Linking

Inter-night

Linking

Identification

Identification

PrecoveryPrecovery

TransientDetections

TransientDetections

SyntheticSolar

System

SyntheticSolar

System

Meta-data

Meta-data

DatabaseDatabase

PublishedObjects



RiskAnalysis

Impact Risk

AnalysisMPC

MPC

MOPS Sub-System Inter-communicationworkingdesigned

Follow-upFollow-up

In design, MOU

Two-Night Linking

Two-Night Linking


MOPS Data Collection Interface

http://mopsdc.ifa.hawaii.edu/

Synthetic or Real Data

• MB/100 + everything else

• realistic survey pattern

• astrometric error

• photometric error

• light curves

• false detections


Spacewatch Data


MOPS Software Documentation

;)


MOPS Unit & Simulation Testing

;)


MOPS Wiki (http://ps1sc.ifa.hawaii.edu/PS1wiki/index.php/MOPS)


MOPS Timeline

• Operational Readiness Review (ORR)in six months?

• PS1 ORRin eight months?


MOPS Documentation

• Critical Systems Engineering Documentation

Complete & Evolving

PSDC-510-001: System Concept Definition PSDC-530-001: Software Requirement Specification PSDC-530-002: Algorithm Design Description PSDC-530-003: Software Design Description PSDC-940-005: MOPS-IPP Interface Control Document PSDC-940-007: MOPS-PSPS Interface Control Document PSDC-930-007: MOPS-PSPS Interface Requirement Specification

Not started

o Software Version Descriptiono Sub-system Test Plano Sub-system Maintenance Plano Software User Manual


MOPS: Documentation

• Supplementary Documentation PSDC-500-001 - Orbit Determination Ephemeris Software PSDC-500-003 - Solar System Survey Simulation PSDC-500-003 – Revised Solar System Survey Simulation PSDC-500-004 - Solar System Model PSDC-500-006 - Sour Spots PSDC-NNN-MMM - Efficiency Determinator Desirements PSDC-NNN-MMM - Efficiency Determinator Design PSDC-NNN-MMM - Installation PSDC-NNN-MMM - Rare Objects PSDC-NNN-MMM - Trail Fitting PSDC-NNN-MMM - Unit and Simulation Testing PSDC-NNN-MMM - Comet Fitting PSDC-NNN-MMM – Data Exchange Standard


MOPS Publications: Published


MOPS Publications: In Prep


MOPS Publications: Future

Pan-STARRS Moving Object Processing System


Thanks!

2008 march 11-14mops training session, tucson, az1 training session, tucson the pan-starrs moving...

Documents

mops training session

az6 mops

az1 training session

neos slide

tnos slide

morning mops overview

jhu slide

associate chair slide