A Non Linear Control Method with Reinforcement Learning for Adaptive Optics with Pyramid Sensors
BSC and UPC PhD student Bartomeu Pou, presented at the ESA_ESO SCIOPS Workshop. The presentation, entitled, 'A Non-Linear Control Method with Reinforcment Learning for Adaptive Optics with Pyramid Sensors', counted with contributions by J. Smith, E. Quiñones, M. Martin and D. Gratadour.
This ESO/ESA workshop aimed to facilitate the exchange of current developments and applications of AI enabled technologies in science operations for space- and ground-based astronomical facilities. The entire scientific operations workflow was analysed, starting from proposal and observation preparation, scheduling and execution of observing programs, data analysis and archiving.
Boosting the science return of astronomical research through AI applications across the entire science operations workflow, in particular in the fields of proposal selection, observation preparation, data reduction, data analysis, and science archives.
Applications of AI in the operation of astronomical facilities, including science operations, engineering and maintenance operations, as well as science and engineering data management.
Highlights of AI-enabled science results.
See the presentation here