autonomous observing the astronomer’s last stand
DESCRIPTION
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-Universit ät , G öt tingen, Germany. - PowerPoint PPT PresentationTRANSCRIPT
Autonomous observingThe Astronomer’s Last Stand
Alasdair AllanSchool of Physics, University of Exeter, UK
Iain SteeleAstrophysics Research Institute, Liverpool JMU, UK
Robert WhiteLos Alamos National Laboratory, NM, USA
Frederic HessmanGeorg-August-Universität, Göttingen, Germany
www.estar.org.uk
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The eSTAR network
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eSTAR in a nutshell
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How does it work?
User Agent
User Agent
Embedded Agent
Embedded Agent
CREDIT: Liverpool John Moores University
UI
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OtherClients
OtherClients
EventNetwork
Reactive case?
User Agent
User Agent
Embedded Agent
Embedded Agent
UIUI
AlertClient
AlertClient
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The eSTAR/HTN Protocol
RegistryRegistry UserUser ResourceResource
Resource Discovery
Phase 0
Scoring
Request
Confirm
Reject
Observed
Update
Fail
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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
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The eSTAR networkCREDIT: Nik Szymanek
User Agents
The VO
Embedded Agents
Embedded Agents
Embedded Agent
Embedded Agent
GatewayService
GatewayService
CREDIT: Liverpool John Moores University
Robonet-1.0
Embedded Agent
Embedded Agent
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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?
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EventBroker
EventBroker
User interfaces?
The GridUserAgent
UserAgent
Embedded Agent
Embedded Agent
CREDIT: AstroGrid Project
HTNRegistry
CREDIT: The eSTAR Project
EventNetwork
CREDIT: The eSTAR Project
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Real-time status
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EventNetwork
Google Sky
EventPublisher
EventPublisher
EmbeddedWeb Server
EmbeddedWeb Server
AlertClient
AlertClient
The Web
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Doing real science
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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
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EventPublisher
EventPublisher
EventNetwork
First look observations
User Agent
User Agent
Embedded Agent
Embedded AgentOGLE EWSOGLE EWS
AlertClient
AlertClient
CREDIT: Allyson Polak, University of Virginia
CREDIT: Liverpool John Moores University
EventPublisher
EventPublisher
CREDIT: F. Abe, A. Gilmore, F. Gunn, J. Hearnshaw,Y. Itow, Y. Muraki, Y. Nishimura, T. Sako, T. Sekiguchi
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Ongoing monitoring
User Agent
User Agent
Embedded Agents
Embedded Agents
PrioritisationService
PrioritisationService
EventPublishers
EventPublishers
EventNetwork
Robonet-1.0
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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
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Closing the loop
User Agent
User Agent
Embedded Agents
Embedded Agents
Robonet-1.0EventNetwork
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
DBDB
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…and finally?
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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
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The End