arXiv:2508.04728v2 Announce Type: replace-cross
Abstract: The 3D characterization of microstructures is crucial for understanding and designing functional materials. However, the scanning electron microscope (SEM), widely used in scientific research, …
arXiv:2604.01313v1 Announce Type: new
Abstract: High-fidelity Monte Carlo simulations and complex inverse problems, such as mapping smeared experimental observations to ground-truth states, are computationally intensive yet essential for robust data a…
arXiv:2603.28804v1 Announce Type: cross
Abstract: Modern particle physics experiments face an increasing demand for high-fidelity detector simulation as luminosities rise and computational requirements approach the limits of available resources. Deep …
arXiv:2603.26813v1 Announce Type: cross
Abstract: In High Energy Physics, detailed calorimeter simulations and reconstructions are essential for accurate energy measurements and particle identification, but their high granularity makes them computatio…
arXiv:2603.27036v1 Announce Type: cross
Abstract: We investigate multi-modal material identification for special nuclear material (SNM) configurations using a combination of X-ray radiography, high-resolution {\gamma}-ray spectroscopy, and neutron mul…
arXiv:2603.27727v1 Announce Type: cross
Abstract: Liquid scintillator detectors are widely used in neutrino experiments due to their low energy threshold and high energy resolution. Despite the tiny abundance of $^{14}$C in LS, the photons induced by …
arXiv:2603.26604v1 Announce Type: new
Abstract: Quantum machine learning offers the ability to capture complex correlations in high-dimensional feature spaces, crucial for the challenge of detecting beyond the Standard Model physics in collider events…