RoboTAP - target priorities for robotic microlensing observations
M. Hundertmark, R. A. Street, Y. Tsapras, E. Bachelet, M. Dominik, K., Horne, V. Bozza, D. M. Bramich, A. Cassan, G. D'Ago, R. Figuera Jaimes, N., Kains, C. Ranc, R. W. Schmidt, C. Snodgrass, J. Wambsganss, I. A. Steele, S., Mao, K. Ment, J. Menzies, Z. Li, S. Cross, D. Maoz

TL;DR
RoboTAP is an automated target selection algorithm for gravitational microlensing follow-up observations, prioritizing events with high planetary detection potential to optimize telescope resource use in time domain surveys.
Contribution
The paper introduces RoboTAP, a novel hybrid algorithm for real-time prioritization of microlensing events based on planetary detection sensitivity, aiding efficient follow-up observations.
Findings
RoboTAP effectively prioritizes high-sensitivity microlensing events.
The algorithm improves planet detection efficiency in follow-up programs.
Demonstrated applicability for LSST and similar surveys.
Abstract
Context. The ability to automatically select scientifically-important transient events from an alert stream of many such events, and to conduct follow-up observations in response, will become increasingly important in astronomy. With wide-angle time domain surveys pushing to fainter limiting magnitudes, the capability to follow-up on transient alerts far exceeds our follow-up telescope resources, and effective target prioritization becomes essential. The RoboNet-II microlensing program is a pathfinder project which has developed an automated target selection process (RoboTAP) for gravitational microlensing events which are observed in real-time using the Las Cumbres Observatory telescope network. Aims. Follow-up telescopes typically have a much smaller field-of-view compared to surveys, therefore the most promising microlens- ing events must be automatically selected at any given time…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
