21–24 Sept 2026
The Guildhall, York
Europe/London timezone

Characterization of $^{226}$Ra implanted sources for background mitigation and high-sensitivity $\alpha$ spectroscopy

22 Sept 2026, 16:35
20m
The Guildhall (The Guildhall, York)

The Guildhall

The Guildhall, York

The Courtyard, Guildhall, Coney St, York YO1 9QN United Kingdom
Presentation Mitigation of Surface Contamination Mitigation of Surface Contamination

Speaker

Mr Lorenzo Ascenzo (University of L'Aquila)

Description

Several next-generation experiments for rare events require a further reduction of the $^{238}$U and $^{232}$Th contamination on material surfaces with respect to what is achievable with current technologies. Such a reduction can be achieved by improved cleaning techniques or surface coating, both of which can be optimized using sources with a well-known surface contamination and/or $^{222}$Rn emanation rate.
In this talk, we will report on the characterization of 19 samples of different materials irradiated with $^{226}$Ra at the ISOLDE facility (CERN). We performed a full characterization of all samples, including the measurement of the emitted $\alpha$ spectra with a silicon PIN diode, of the $\gamma$ spectrum with a HPGe detectors, and of the $^{222}$Rn emanation with an electrostatic radon monitor and miniaturized proportional counters.
In addition, we exposed some of the irradiated samples to clean targets, yielding a very shallow $^{222}$Rn distribution which is unaffected by the nuclear recoil contribution from $^{226}$Ra decay. We measured the α spectrum with a silicon PIN diode, and the $^{222}$Rn emanation resulting from a pure diffusion process using a cryogenic radon monitor.
Finally, we simulated the primary and secondary implantation processes, as well as the recoil-induced diffusion processes using the TRIDYN software.
The availability of all these independent measurements allows us to cross-validate the different experimental techniques against each other, and the validation of the simulation against the data, guaranteeing a robust predictive power for TRIDYN-based simulations of future applications to rare-events experiments.

Authors

Giovanni Benato (Gran Sasso Science Institute) Dr Giovanni Volta (MPI-HD) Dr Hardy Simgen (MPI-HD) Mr Lorenzo Ascenzo (University of L'Aquila) Dr Oleg Chkvorets (MPI-HD)

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