HEP and XRS Detector Applications

This thrust connects real experiment needs with advances in materials, devices, simulations and computer architectures to ensure new technologies deliver measurable benefits in the lab. Application experts collaborate with hardware and software teams to build benchmarks and end-to-end simulations to judge whole‑system gains in energy use, accuracy, speed and real-time control. The effort emphasizes open, reusable datasets and clear metrics.

For high‑energy physics, researchers are generating realistic data from detector simulations (e.g., at the High-Luminosity Large Hadron Collider and future muon colliders) to test tasks like estimating particle momentum, spotting background noise, handling detector aging, detecting anomalies and compressing data — especially at the sensor ​“edge,” where power and space are tight. For X‑ray science, the team is capturing specific algorithm and hardware needs, creating benchmark suites from raw data reduction to high‑level analysis, and integrating new photonic links and detector materials into multiscale simulations. These simulations will also model closed‑loop, real‑time feedback — linking X‑ray sources, actuators and control — to evaluate and optimize components and architectures for intelligent, autonomous experiment steering.