A LoRA-adapted conditional diffusion surrogate for electromagnetic calorimeter showers matches key observables within 2% RMSE and reproduces directional trends in design-utility gradients.
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physics.ins-det 2years
2026 2verdicts
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Targeted halting of gradient flow at unstable material boundaries enables stable derivatives for optimizing detector designs in radiation transport simulations.
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Differentiable Surrogate for Detector Simulation and Design with Diffusion Models
A LoRA-adapted conditional diffusion surrogate for electromagnetic calorimeter showers matches key observables within 2% RMSE and reproduces directional trends in design-utility gradients.
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Exploring the Boundaries of Differentiable Radiation Transport and Detector Simulation
Targeted halting of gradient flow at unstable material boundaries enables stable derivatives for optimizing detector designs in radiation transport simulations.