A report discusses the potential application of artificial intelligence (AI) to planning, scheduling, and control of the optical configuration and other aspects of the operations of a large astronomical interferometer. Scientific demand and technical requirements necessitate streamlining and optimization of the operation of such an interferometer, but it is difficult and often impossible to achieve the streamlining and optimization manually.
This work was done by Andrew Booth, Gregg Rabideau, Leonard Reder, and Steve Chien of Caltech for NASA's Jet Propulsion Laboratory. To obtain a copy of the report, "Automated Planning for Interferometer Configuration and Control," access the Technical Support Package (TSP) free on-line at www.nasatech.com/tsp under the Information Sciences category.
This software is available for commercial licensing. Please contact Don Hart of the California Institute of Technology at (818) 393-3425. Refer to NPO-21179.
This Brief includes a Technical Support Package (TSP).
Automated Planning and Scheduling for a Large Interferometer
(reference NPO-21179) is currently available for download from the TSP library.
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Overview
The document discusses the application of artificial intelligence (AI) in the planning, scheduling, and control of operations for large astronomical interferometers, specifically focusing on the Keck interferometer and the Automated Scheduling and Planning Environment (ASPEN) software developed at NASA's Jet Propulsion Laboratory (JPL).
The need for AI in this context arises from the scientific demand and technical requirements to streamline and optimize the operations of interferometers, which are complex instruments used in astronomical observations. Manual operation of these systems is often impractical due to the harsh operating environments and the complexity involved in managing numerous resources and constraints. The report emphasizes that traditional manual methods are insufficient for achieving the necessary efficiency and responsiveness.
AI technologies, particularly high-level planning and scheduling software, can significantly enhance the operational capabilities of interferometers. The ASPEN software serves as a prime example of how automated planning can facilitate various operational tasks. It allows for the rapid generation of large command sequences and enables quick replanning in response to unforeseen events, which is crucial for maintaining operational continuity in dynamic environments.
The advantages of using AI over manual methods include the ability to consider more complex combinations of resources and constraints, the speed at which large command sequences can be generated, and the agility in adapting plans when unexpected situations arise. This capability is particularly beneficial in the context of astronomical research, where timely and precise observations are essential.
The report was authored by Andrew Booth, Gregg Rabideau, Leonard Reder, and Steve Chien, and it highlights the collaborative efforts between Caltech and NASA. The findings and technologies discussed are available for commercial licensing, indicating a potential for broader application beyond the specific context of astronomical interferometers.
In summary, the document presents a compelling case for the integration of AI in the operation of large astronomical instruments, showcasing how advanced planning and scheduling technologies can enhance efficiency, adaptability, and overall performance in scientific research.
