Astronomers routinely face the challenge of evaluating changing weather, moonlight intensity and atmospheric turbulence before deciding where to point a telescope. This constant balancing act aims to extract the greatest possible scientific return from each precious hour of dark sky.
Researchers from Northwestern University, the University of Chicago and Fermilab have created an artificial intelligence tool that automates this decision‑making process. The system continuously ingests data from weather stations, lunar calendars and atmospheric stability monitors.
Using that information, the AI calculates in real time which region of the sky currently offers the best observing conditions. It then issues steering commands to the telescope, which adjusts its pointing without any human intervention.
The anticipated benefits include a more efficient use of telescope time, enabling the study of additional targets or the detection of fainter phenomena. In the future, the approach could be deployed at other observatories, reducing the workload for support staff.
Initially, the AI tool will be tested on a prototype telescope. If the trials prove successful, the plan is to integrate it into regular operations and potentially license the technology to other institutions.