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@@ -54,7 +54,7 @@ In solar tower power plants, digital twins with precise simulation and reliable
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# State of the Field
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Commercial digital twin software solutions for solar tower power plants such as the raytracer STRAL [@Ahlbrink:2012] or TieSOL [@Mitchell:2025] are non-differentiable and therefore lack the ability to reconstruct heliostat field models or to optimize power plant parameters. Instead they assume idealized hardware or provide tools for exact modeling which rely on infeasible measurements. These already commercially proven software solutions are typically proprietary and closed-source, limiting the possibilities for public contributions. Considering open-source, commercially validated, non-differentiable ray tracers such as SolTrace [@SolTrace], the modifications needed to propagate gradients through the entire simulation are so extensive and fundamental that the development of a new tool is justified.
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In literature many proof-of-concept studies exist, addressing single tasks relevant for solar tower power plant digital twin simulation and optimization. These include differentiable ray tracing [@Pargmann:2024], surface modeling [@Lewen:2025] and kinematic calibration [@Sattler:2024]. While each of these approaches demonstrates its capabilities, they mostly remain isolated solutions. As each single task solution employs an individual methodology specialized for the specific requirements, a simple unification is challenging. `artist` addresses this gap by using one coherent optimization strategy to redefine the single task solutions, adding to them and creating an integrated and practicably usable software product fundamentally different from the task specific solutions but solving the same problems. As no comparable open-source alternative exists, we provide the basis for future contributions.
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In literature many proof-of-concept studies exist, addressing single tasks relevant for solar tower power plant digital twin simulation and optimization. These include differentiable ray tracing [@Pargmann:2024], surface modeling [@Lewen:2025], kinematic calibration [@Sattler:2024] and flux prediction [@Kuhl:2024]. While each of these approaches demonstrates its capabilities, they mostly remain isolated solutions. As each single task solution employs an individual methodology specialized for the specific requirements, a simple unification is challenging. `artist` addresses this gap by using one coherent optimization strategy to redefine the single task solutions, adding to them and creating an integrated and practicably usable software product fundamentally different from the task specific solutions but solving the same problems. As no comparable open-source alternative exists, we provide the basis for future contributions.
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# Software Design
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