1. Autonomous observing The Astronomer’s Last Stand Alasdair Allan School of Physics, University of Exeter, UK Iain Steele Astrophysics Research Institute, Liverpool JMU, UK Robert White Los Alamos National Laboratory, NM, USA Frederic Hessman Georg-August-Universität, Göttingen, Germany www.estar.org.uk

2. ADASS XVII, Sept. 2007 1 The eSTAR network

3. ADASS XVII, Sept. 2007 2 eSTAR in a nutshell

4. ADASS XVII, Sept. 2007 3 How does it work? User Agent User Agent Embedded Agent Embedded Agent CREDIT: Liverpool John Moores University UI

5. ADASS XVII, Sept. 2007 4 Other Clients Other Clients Event Network Reactive case? User Agent User Agent Embedded Agent Embedded Agent UI Alert Client Alert Client

6. ADASS XVII, Sept. 2007 5 The eSTAR/HTN Protocol Registry User Resource Resource Discovery Phase 0 Scoring Request Confirm Reject Observed Update Fail

7. ADASS XVII, Sept. 2007 6 Parallel Strands Two parallel strands –VOEvent standard –HTN and eSTAR standards VOEvent standard has been designed to –transport timely information concerning transient events HTN standards has been designed to –allow the recipient of an event message to negotiate for, and obtain, follow-up observations to these reported events from a heterogeneous collection of networked telescopes

8. ADASS XVII, Sept. 2007 7 The eSTAR network CREDIT: Nik Szymanek User Agents The VO Embedded Agents Embedded Agents Embedded Agent Embedded Agent Gateway Service Gateway Service CREDIT: Liverpool John Moores University Robonet-1.0 Embedded Agent Embedded Agent

9. ADASS XVII, Sept. 2007 8 Smarter than average? How well should one bit of software believe other bits of software when they tell it somewhere? Currently running simulations in Exeter –keeping track of scores from telescopes and whether they actually returned data, i.e. are they “lying” to us? –using this to modify our decision making process in the future, hopefully weighting things towards the telescopes that don’t “lie” about how well they can perform observations Emerging social conventions?

10. ADASS XVII, Sept. 2007 9 Event Broker Event Broker User interfaces? The Grid User Agent User Agent Embedded Agent Embedded Agent CREDIT: AstroGrid Project HTN Registry CREDIT: The eSTAR Project Event Network CREDIT: The eSTAR Project

11. ADASS XVII, Sept. 2007 10 Real-time status

12. ADASS XVII, Sept. 2007 11 Event Network Google Sky Event Publisher Event Publisher Embedded Web Server Embedded Web Server Alert Client Alert Client The Web

13. ADASS XVII, Sept. 2007 12 Doing real science

14. ADASS XVII, Sept. 2007 13 PLANET/Robonet-1.0 Campaign First look observations of OGLE-EWS events –first look for MOA will be done next season Continuous monitoring of ongoing OGLE and MOA events –maximise planet discovery rate Rapid response to possible anomalies in real-time –trigger override observations –event notification Closed-loop system

15. ADASS XVII, Sept. 2007 14 Event Publisher Event Publisher Event Network First look observations User Agent User Agent Embedded Agent Embedded Agent OGLE EWS Alert Client Alert Client CREDIT: Allyson Polak, University of Virginia CREDIT: Liverpool John Moores University Event Publisher Event Publisher CREDIT: F. Abe, A. Gilmore, F. Gunn, J. Hearnshaw, Y. Itow, Y. Muraki, Y. Nishimura, T. Sako, T. Sekiguchi

16. ADASS XVII, Sept. 2007 15 Ongoing monitoring User Agent User Agent Embedded Agents Embedded Agents Prioritisation Service Prioritisation Service Event Publishers Event Publishers Event Network Robonet-1.0

17. ADASS XVII, Sept. 2007 16 Anomaly hunting Real time data reduction Real time data analysis –See “An anomaly detector with immediate feedback to hunt for planets of Earth mass and below by microlensing”, 2007, MNRAS, M. Dominik, N. J. Rattenbury, A. Allan, S. Mao, D. M. Bramich, M. J. Burgdorf, E. Kerins, Y. Tsapras, Ł. Wyrzykowski, in press Reactive scheduling

18. ADASS XVII, Sept. 2007 17 Closing the loop User Agent User Agent Embedded Agents Embedded Agents Robonet-1.0 Event Network Allows real-time analysis of incoming micro-lensing data from PLANET, OGLE, MOA, MicroFUN and Robonet-1.0 – looks for deviations that might be plantetary anomalies – asks for more data if it’s not sure – triggers target of opportunity if it is sure DB

19. ADASS XVII, Sept. 2007 18 …and finally?

20. ADASS XVII, Sept. 2007 19 Conclusions Autonomous observing –IVOA standard VOEvent messaging –HTN standard RTML messaging –eSTAR represents a “turn-key” system Operating in three modes –event driven –long term monitoring –reactive follow-up See http://www.estar.org.uk/ for more information

21. ADASS XVII, Sept. 2007 20 The End