An autonomous adaptive scheduling agent for period searching
Abstract
We describe the design and implementation of an autonomous adaptive software agent that addresses the practical problem of observing undersampled, periodic, time-varying phenomena using a network of HTN-compliant robotic telescopes. The algorithm governing the behaviour of the agent uses an optimal geometric sampling technique to cover the period range of interest, but additionally implements proactive behaviour that maximises the optimality of the dataset in the face of an uncertain and changing operating environment.
- Publication:
-
Astronomische Nachrichten
- Pub Date:
- March 2008
- DOI:
- 10.1002/asna.200710947
- arXiv:
- arXiv:0801.3846
- Bibcode:
- 2008AN....329..321S
- Keywords:
-
- methods: observational;
- methods: data analysis;
- techniques: photometric;
- techniques: radial velocities;
- Astrophysics
- E-Print:
- 5 pages, 2 figures, to appear in proceedings of Hot-wiring the Transient Universe (HTU) 2007, Astronomische Nachrichten, March 2008