voeventnet.caltech.edu voeventnet by matthew j. graham (caltech)
TRANSCRIPT
voeventnet.caltech.edu
VOEventNet
By Matthew J. Graham (Caltech)
VOEvent II6 December 2005
What is VOEventNet? Real-time astronomy with a rapid-response
telescope grid A peer-to-peer cyberinfrastructure to enable
rapid and federated observations of the dynamic night sky
A network of telescopes and computers working synergistically, under the watchful eye of humans, to find and study interesting astronomical events
A transportation of events to interested subscribers, automatically in seconds or minutes after discovery
VOEvent II6 December 2005
What is VOEventNet? $600k 3 year NSF-funded project
under the DDDAS (Dynamic Data-Driven Applications Systems) initiative involving Caltech, UC Berkeley and LANL
Personnel:
^
really
Roy Williams (PI)Joshua BloomGeorge DjorgovskiShri KulkarniThomas Vestrand
Matthew GrahamAshish MahabalAndrew DrakeDerek FoxPrzemek Wozniak
VOEvent II6 December 2005
Event Synthesis Engine
Pairitel
Raptor
PQ next-daypipelines
catalog
Palomar-Quest
knownvariables
knownasteroids
SDSS2MASS
PQ Event Factory
remote archives
baselinesky
eStar
VOEventNet
GRBsatellites
VOEventdatabase
Palomar 60”
Architecture
VOEvent II6 December 2005
Palomar-Quest Survey
Synoptic sky survey using the 48” Palomar Samuel Oschin Schmidt telescope and the 112-CCD, 161-Megapixel Quest II camera
Collaboration between Caltech, Yale/Indiana U., NCSA, and JPL; et al. VO compliance/standards built in from the start Two modes: drift scan with UBRI/rizz or multiple repeated snapshots in
one filter ~70GB of data/night 15000 deg2 observed a minimum of 8 times with baselines minutes to
years
VOEvent II6 December 2005
A 152 ft 20 ft mural produced for Griffith Observatory from PQ survey BRI images
A swath of 15.2 2.0 swath through the center of the Virgo cluster, sampled at 0.4 arcsec/pixel, giving a 136,800 18,000 pixel image
Computed at CACR using HyperAtlas and a custom data cleaning pipeline
Reproduced on 114 steel-backed porcellain plates, expected to last many decades
Will be seen by millions of visitors Associated website will include NVO outreach
Real PQ data: The Big Picture
VOEvent II6 December 2005
The Big Picture: detailThe Big Picture: detail
VOEvent II6 December 2005
The Big Picture:Tile C12 (M87)Zoom-in
The Big Picture: more detail
VOEvent II6 December 2005
Transients in the Big Picture
Tile b07
740 Cantabia
VOEvent II6 December 2005
Event Synthesis Engine
Pairitel
Raptor
PQ next-daypipelines
catalog
Palomar-Quest
knownvariables
knownasteroids
SDSS2MASS
PQ Event Factory
remote archives
baselinesky
eStar
VOEventNet
GRBsatellites
VOEventdatabase
Palomar 60”
Architecture
VOEvent II6 December 2005
Palomar-Quest Event Factory Real-time pipeline to process raw data
streaming from telescope: Remove detector signatures including glitches
masquerading as transient events: meteors, airplanes, glints from satellites and junk, etc.
Apply basic photometric and astrometric calibration
Extract detected sources and measure attributes Compare with baseline data (catalogs/images) to
identify new, transient or highly variable sources Compare with dbs of known variables, asteroids,
etc.
VOEvent II6 December 2005
Event Synthesis Engine
Pairitel
Raptor
PQ next-daypipelines
catalog
Palomar-Quest
knownvariables
knownasteroids
SDSS2MASS
PQ Event Factory
remote archives
baselinesky
eStar
VOEventNet
GRBsatellites
VOEventdatabase
Palomar 60”
Architecture
VOEvent II6 December 2005
Event Synthesis Engine New input arrives from PQ/elsewhere:
Establish event “portfolio” to archive and federate all subsequent data and analysis
Send initial event notification to subscribers Launch query against external dbs via NVO
Classify and prioritize: Evaluate likelihood probabilities of event being
associated with possible astrophysical sources using machine learning techniques (‘Thinking Telescope’)
Evaluate urgency of desired follow-up Send out VOEvent
VOEvent II6 December 2005
Event Synthesis Engine
Pairitel
Raptor
PQ next-daypipelines
catalog
Palomar-Quest
knownvariables
knownasteroids
SDSS2MASS
PQ Event Factory
remote archives
baselinesky
eStar
VOEventNet
GRBsatellites
VOEventdatabase
Palomar 60”
Architecture
VOEvent II6 December 2005
VOEventNet Communication Fabric Author Publisher (aggregator):
Stores packet and assigns identifier Distributes to subscribers based on pre-defined
criteria using one-way web services Two dbs - Caltech for PQ and Los Alamos for
Raptor - harvest each other Subscriber:
Gets event from publisher, evaluates it and causes scheduling in telescope observing queue or an archive search
VOEvent II6 December 2005
Event Cycling An event can be injected back into the
same decision/classification engine that published it but supplemented with data from elsewhere
Events dynamically cycle through follow-up observation and computation (no humans in loop) with subscribers make judgments and adding value until convergence
VOEvent II6 December 2005
Robotic Telescopes RAPTOR
Stereoscopic sky monitoring with follow-up ‘fovea’ telescope
PAIRITEL Meter-class IR follow-up
P60 Principal follow-up facility for PQ Events
eSTAR
VOEvent II6 December 2005
Timeline Year one - proof-of-concept system
consisting of: Source of VOEvents A VOEvent store Basic event discriminator Robotic telescopic capable of responding
to VOEvent: P60 and Pairitel Year two - prototype system Year three - production system