Transcript ppt
Actionable Intelligence from Multisourced Events Roy Williams Caltech with S.G.Djorgovski, C. Donalek, A. Drake, M. Graham, A. Mahabal, R. Seaman (NOAO). • VOEvent please pray for VAO • VORapid • Skyalert Infrastructure • Decision = Human + Archive + Machine What is VOEvent • XML document according to VO-standard • Who, Wherewhen, Why, Params • Each event belongs to a Stream – key-value-semantic records • Author, Subscriber, Broker functions • Information not Imperative • Follow-ups are other VOEvents • Connected in citation graph to form Portfolio Microlensing event (OGLE) Global Event Authors and Followup AAVSO GCN @ NASA/GSFC LCOGT Liverpool Telescope SWIFT Fermi Integral AGILE La Palma Faulkes Hawaii/Australia PannSTARRS eStar Exeter Caltech UKIRT OGLE III NOAO Tucson Palomar P60 Pairitel Caltech Hawaii Poland Berkeley CTIO/KPNO MOA Catalina RTS UAriz Stream Author Publisher Repository Relay Followup Subscriber VORapid please pray for VAO Virtual Observatory Rapid Transients Facility • Content – VOEvent – Consume • Browse, Query, Subscribe, Decision – Author • Streams, Alerts, Automation – Portfolio • Annotation, Mining – Brokering • Transport – Tier 1 – Broker, Forward – Tier 2 – Applications Tier1 and Tier2 Event Nodes please pray for VAO Repository (Tier2) Author (Tier2) Broker (Tier1) Jabber/XMPP or custom TCP? • Tier1: • Immediate forwarding, standard & capable protocols • Tier2: • Subscription service, Repository, Query, Archive, Machine Learning, etc etc International GCN Broker skyalert.org Annotation from archives Astronomers Amateurs Students Microlensing Optical transients Radio transients X-ray transients Gamma transients Grav. waves Neutrinos Events and annotation disseminated to subscribers in real time with intelligence Followup Scheduler Telescope Telescope Telescope Event Authors Event Subscribers Stream as Event Template Taming Multisourced Data stream made by person in daytime event made by robot system at night skyalert.org skyalert.org Future .... ASKAP, IceCube LIGO/Virgo, MWA, SkyMapper, Veritas TeV secondary streams Portfolio of One First Discovery VOEvent skyalert.org Rich portfolio: Supernova 2007sr in Antennae Ground based telescop e skyalert.org DSS 1967 Hubble WFPC2 Astronomer’ s Telegram Lightcurve Spectru m Discovery Image Event-Action-Event Cycle subscribers Events Triggers (event template) (template instance) (for action) Catalina Sky Survey mag1 mag2 mag3 asteroidness stellarity cutoutURL Archive follow-up SDSS archive Archive follow-up Berkeley lightcurves Telescope follow-up Palomar 60” follow-up uMag gMag uCutoutURL gCutoutURL lightcurveURL probSN probCV gmag rmag ipmag zpmag datapackageURL 19.34 19.32 19.39 1% 97% http://..... 21.42 20.96 http://..... http://..... http://...... 87% 12% 19.07 18.03 18.57 18.94 http://..... joint rule Original detection Streams skyalert.org Annotation (linked data) Google Sky has VOEvents skyalert.org Thanks to Ryan Scranton WWT Realtime Event Display skyalert.org Thanks to Jonathan Fay Bayesian Learning • • • • Feature Vectors Best Recommendation Combine with Human judgment Error bars, upper limits, and missing values • All are part of the prior • Summing opinions of multiple experts • Some not experts! • Relevance Vector Machine • Best of training set (most learning) • Tutorial • Escalation to real expert Building Feature Vector Mahabal et al arXiv:0810.4527 [astro-ph] Recommendation for Follow-Up Mahabal et al arXiv:0802.3199 [astro-ph] Sparse data Ambiguous classification best follow-up strategy to reduce confusion Example: optical light curve with a particular time cadence would discriminate between a Supernova and a quasar, Example: particular color measurement would discriminate between a cataclysmic variable eruption and a gravitational microlensing event, Human Volunteers • Science Layer – Describe what you see in image – Each person has level of expertise – How to use data most effectively • Game Layer – Makes people come back – Top 10 ranking etc – Anonymous partner a la gwap.com Human Computing • Ask humans to *describe* – not *interpret* Automated Decision through Tripod of Data • Archive • nearby radio source escalates p(blazar) • nearby galaxy escalates p(supernova) • Human • Crowded field? Artifact present? • Can make follow-up observation • Machine • Fuzzy center escalates p(host galaxy) • Moving source escalates p(asteroid) • Bobotic follow-up observation decision • Please try skyalert.org • register, then set an alert • Do you have a stream of astronomical events? (and can I have them) • Who knows how to make a scalable push network? (can we talk?) skyalert.org