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Toward the End-To-End Optimization of the SWGO Array Layout
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In this document we consider the problem of finding the optimal layout for the array of water Cherenkov detectors proposed by the SWGO collaboration to study very-high-energy gamma rays in the southern hemisphere. We develop a continuous model of the secondary particles produced by atmospheric showers initiated by high-energy gamma rays and protons, and build an optimization pipeline capable of identifying the most promising configuration of the detector elements. The pipeline employs stochastic gradient descent to maximize a utility function aligned with the scientific goals of the experiment. We demonstrate how the software is capable of finding the global maximum in the high-dimensional parameter space, and discuss its performance and limitations.
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On the Utility Function of Experiments in Fundamental Science
A global utility function for multi-purpose experiments is feasible and is already implicitly encoded in trigger decisions, run schedules, and optimization weights.
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