Materials Design for the Synthesis of High Strength Radiopure Copper Alloys for Rare Event Detection
Dimitra Spathara, Patrick Knights, Konstantinos Nikolopoulos
TL;DR
The paper addresses the need for mechanically robust yet radiopure detector materials for rare-event searches by designing Cu-based alloys (CuCr and CuCrTi) through a CALPHAD-guided workflow. It combines sequential electrodeposition with heat-treatment simulations (via CALPHAD and DICTRA) to predict homogenization and precipitation strengthening while maintaining radiopurity. Key findings show feasible pathways to homogenize CuCr to $0.5$ wt% Cr within practical times at $1050^{ deg}C$, and show that trace Ti can enable CuCrTi alloys with hardness comparable to mild steel while preserving conductivity; higher processing temperatures can further accelerate homogenization but risk intermetallic formation. The results are illustrated through case studies of DarkSPHERE and XLZD, highlighting how radiopure, high-strength CuCr-based vessels could dramatically improve detector performance and reduce data-taking times in next-generation experiments.
Abstract
Additive-free electroformed copper has emerged as the material of choice in exceptionally radiopure detectors for rare-event searches, based on its radiopurity, physical properties, and affordability. However, copper is ductile and of limited mechanical strength posing challenges for its use in future experiments. Electroformed copper-based alloys have been identified as a promising solution. However, their synthesis needs refining by exploring a complex parameter space of compositions and strengthening mechanisms. Here we show how a materials design approach may address current challenges and optimize alloy synthesis and processing. Alloy properties are predicted following thermal processing, using computational thermodynamics. The findings suggest a methodology to design high-performance, radiopure copper-based alloys suitable for next-generation rare-event experiments, while minimizing lengthy and expensive trial-and-error approaches. The impact on future experiments is exemplified through case-studies of the DarkSPHERE and XLZD experiments.
