English

Optimized digital filtering techniques for radiation detection with HPGe detectors

Instrumentation and Detectors 2016-03-03 v2 Data Analysis, Statistics and Probability

Abstract

This paper describes state-of-the-art digital filtering techniques that are part of GEANA, an automatic data analysis software used for the GERDA experiment. The discussed filters include a novel, nonlinear correction method for ballistic deficits, which is combined with one of three shaping filters: a pseudo-Gaussian, a modified trapezoidal, or a modified cusp filter. The performance of the filters is demonstrated with a 762 g Broad Energy Germanium (BEGe) detector, produced by Canberra, that measures {\gamma}-ray lines from radioactive sources in an energy range between 59.5 and 2614.5 keV. At 1332.5 keV, together with the ballistic deficit correction method, all filters produce a comparable energy resolution of ~1.61 keV FWHM. This value is superior to those measured by the manufacturer and those found in publications with detectors of a similar design and mass. At 59.5 keV, the modified cusp filter without a ballistic deficit correction produced the best result, with an energy resolution of 0.46 keV. It is observed that the loss in resolution by using a constant shaping time over the entire energy range is small when using the ballistic deficit correction method.

Keywords

Cite

@article{arxiv.1504.02039,
  title  = {Optimized digital filtering techniques for radiation detection with HPGe detectors},
  author = {M. Salathe and T. Kihm},
  journal= {arXiv preprint arXiv:1504.02039},
  year   = {2016}
}
R2 v1 2026-06-22T09:12:50.905Z