| Summary: | The High Intensity Muon Beams (HIMB) project at the Paul Scherrer Institute (PSI) will deliver muon beams with unprecedented intensities of up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mn>10</mn><mn>10</mn></msup><mspace width="0.222222em"></mspace><mi>muons</mi><mo>/</mo><mi mathvariant="normal">s</mi></mrow></semantics></math></inline-formula> for next-generation particle physics and material science experiments. This represents a hundredfold increase over the current state-of-the-art muon intensities, also provided by PSI. We performed beam dynamics optimisations and studies for the design of the HIMB beamlines MUH2 and MUH3 using <i>Graphics Transport</i>, <i>Graphics Turtle</i>, and <i>G4beamline</i>, the latter incorporating PSI’s own measured <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>π</mi><mo>+</mo></msup></semantics></math></inline-formula> cross-sections and variance reduction. We initially performed large-scale beamline optimisations using asynchronous Bayesian optimisation with <i>DeepHyper</i>. We are now developing an island-based evolutionary optimisation code <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="monospace">glyfada</mi></semantics></math></inline-formula> based on the Paradis<b>eo</b> framework, where we implemented Message Passing Interface (MPI) islands with OpenMP parallelisation within each island. Furthermore, we implemented an island model that is also suitable for high-throughput computing (HTC) environments with asynchronous communication via a Redis database. The code interfaces with the codes <i>COSY INFINITY</i> and <i>G4beamline</i>. The code <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="monospace">glyfada</mi></semantics></math></inline-formula> will provide heterogeneous island model optimisation using evolutionary optimisation and local search methods, as well as part-wise optimisation of the beamline with automatic advancement through stages. We will use the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="monospace">glyfada</mi></semantics></math></inline-formula> for a future large-scale optimisation of the HIMB beamlines.
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