Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model
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>...
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2024-08-01
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| author | Eremey Valetov Giovanni Dal Maso Peter-Raymond Kettle Andreas Knecht Angela Papa |
| author_facet | Eremey Valetov Giovanni Dal Maso Peter-Raymond Kettle Andreas Knecht Angela Papa |
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| description | 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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| spelling | doaj-art-9a361ff5ecff4e7bbcb8005b1d26ea532025-08-20T01:55:45ZengMDPI AGParticles2571-712X2024-08-017368369110.3390/particles7030039Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island ModelEremey Valetov0Giovanni Dal Maso1Peter-Raymond Kettle2Andreas Knecht3Angela Papa4Paul Scherrer Institut (PSI), 5232 Villigen, SwitzerlandPaul Scherrer Institut (PSI), 5232 Villigen, SwitzerlandPaul Scherrer Institut (PSI), 5232 Villigen, SwitzerlandPaul Scherrer Institut (PSI), 5232 Villigen, SwitzerlandPaul Scherrer Institut (PSI), 5232 Villigen, SwitzerlandThe 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.https://www.mdpi.com/2571-712X/7/3/39muonbeamlineintensity frontierevolutionary optimizationhybridheterogeneous |
| spellingShingle | Eremey Valetov Giovanni Dal Maso Peter-Raymond Kettle Andreas Knecht Angela Papa Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model Particles muon beamline intensity frontier evolutionary optimization hybrid heterogeneous |
| title | Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model |
| title_full | Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model |
| title_fullStr | Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model |
| title_full_unstemmed | Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model |
| title_short | Beamline Optimisation for High-Intensity Muon Beams at PSI Using the Heterogeneous Island Model |
| title_sort | beamline optimisation for high intensity muon beams at psi using the heterogeneous island model |
| topic | muon beamline intensity frontier evolutionary optimization hybrid heterogeneous |
| url | https://www.mdpi.com/2571-712X/7/3/39 |
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