1. Actionable Intelligence from Multisourced Events Roy Williams Caltech with S.G.Djorgovski, C. Donalek, A. Drake, M. Graham, A. Mahabal, R. Seaman (NOAO).

2. VOEvent VORapid Skyalert Infrastructure Decision = Human + Archive + Machine please pray for VAO

3. 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

4. Microlensing event (OGLE)

5. Global Event Authors and Followup Caltech eStar Exeter NOAO Tucson Pairitel Berkeley Palomar P60 Caltech Catalina RTS UAriz Liverpool Telescope La Palma UKIRT Hawaii Stream Author Publisher Repository Relay Followup Subscriber Faulkes Hawaii/Australia OGLE III Poland GCN @ NASA/GSFC SWIFT Fermi Integral AGILE CTIO/KPNO LCOGT MOA AAVSO PannSTARRS

6. VORapid 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 please pray for VAO

7. Tier1 and Tier2 Event Nodes Tier1: Immediate forwarding, standard & capable protocols Tier2: Subscription service, Repository, Query, Archive, Machine Learning, etc etc Broker (Tier1) Author (Tier2) Repository (Tier2) Jabber/XMPP or custom TCP? please pray for VAO

8. Microlensing Optical transients Radio transients X-ray transients Gamma transients Grav. waves Neutrinos Followup Scheduler Telescope Astronomers Amateurs Students Telescope Event AuthorsEvent Subscribers International GCN Broker Annotation from archives Events and annotation disseminated to subscribers in real time with intelligence skyalert.org

9. Stream as Event Template Taming Multisourced Data streamevent made by person in daytime made by robot system at night skyalert.org

10. Future.... ASKAP, IceCube LIGO/Virgo, MWA, SkyMapper, Veritas TeV secondary streams skyalert.org

11. Portfolio of One First Discovery VOEvent skyalert.org

12. Ground based telescop e Hubble WFPC2 DSS 1967 Astronomer’ s Telegram Lightcurve Spectru m Discovery Image Rich portfolio: Supernova 2007sr in Antennae skyalert.org

13. SDSS archive uMag gMag uCutoutURL gCutoutURL Catalina Sky Survey mag1 mag2 mag3 asteroidness stellarity cutoutURL Berkeley lightcurves lightcurveURL probSN probCV Palomar 60” follow-up gmag rmag ipmag zpmag datapackageURL 21.42 20.96 http://..... 19.34 19.32 19.39 1% 97% http://..... http://...... 87% 12% 19.07 18.03 18.57 18.94 http://..... Streams (event template) Events (template instance) Annotation (linked data) Original detection Archive follow-up Telescope follow-up joint rule Triggers (for action) subscribers Event-Action-Event Cycle

14. Google Sky has VOEvents skyalert.org Thanks to Ryan Scranton

15. WWT Realtime Event Display skyalert.org Thanks to Jonathan Fay

16. 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

17. Building Feature Vector Mahabal et al arXiv:0810.4527 [astro-ph]

18. Recommendation for Follow-Up 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, Mahabal et al arXiv:0802.3199 [astro-ph]

19. 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

20. Human Computing Ask humans to *describe* –not *interpret*

21. 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 human machine learning archive

22. 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