Application of Machine Learning for Optimising Dome Temperature Management at the Southern African Large Telescope (SALT)

Project Description:

The Southern African Large Telescope (SALT), located at Sutherland, South Africa, requires precise dome temperature control to ensure optimal observing conditions. Currently, SALT staff manually predict sunset temperatures to condition the telescope dome interior. Incorrect predictions lead to temperature gradients, causing turbulence (dome seeing), which adversely affects observational efficiency. Automating this temperature prediction process using machine learning will enhance observational quality, operational efficiency, and energy utilisation at SALT.

Research Area:

Astronomy

Project Level:

Honours

This Project Is Offered At The Following Node(s):

(UCT)

Special Requirements:

Python coding skills required