Investigation of ASIC-based signal readout electronics for LEGEND-1000

LEGEND, the Large Enriched Germanium Experiment for Neutrinoless beta beta Decay, is a ton-scale experimental program to search for neutrinoless double beta (0 nu beta beta) decay in the isotope Ge-76 with an unprecedented sensitivity. Building on the success of the low-background Ge-76-based GERDA...

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Veröffentlicht in:Journal of instrumentation 2020-09, Vol.15 (9), p.P09022-P09022, Article 09022
Hauptverfasser: Edzards, F., Willers, M., Alborini, A., Bombelli, L., Fink, D., Green, M. P., Laubenstein, M., Mertens, S., Othman, G., Radford, D. C., Schoenert, S., Zuzel, G.
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Sprache:eng
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Zusammenfassung:LEGEND, the Large Enriched Germanium Experiment for Neutrinoless beta beta Decay, is a ton-scale experimental program to search for neutrinoless double beta (0 nu beta beta) decay in the isotope Ge-76 with an unprecedented sensitivity. Building on the success of the low-background Ge-76-based GERDA and Majorana Demonstrator experiments, the LEGEND collaboration is targeting a signal discovery sensitivity beyond 10(28) yr on the decay half-life with approximately 10 t . yr of exposure. Signal readout electronics in close proximity to the detectors plays a major role in maximizing the experiment's discovery sensitivity by reducing electronic noise and improving pulse shape analysis capabilities for the rejection of backgrounds. However, the proximity also poses unique challenges for the radiopurity of the electronics. Application-specific integrated circuit (ASIC) technology allows the implementation of the entire charge sensitive amplifier (CSA) into a single low-mass chip while improving the electronic noise and reducing the power consumption. In this work, we investigated the properties and electronic performance of a commercially available ASIC CSA, the XGLab CUBE preamplifier, together with a p-type point contact high-purity germanium detector. We show that low noise levels and excellent energy resolutions can be obtained with this readout. Moreover, we demonstrate the viability of pulse shape discrimination techniques for reducing background events.
ISSN:1748-0221
1748-0221
DOI:10.1088/1748-0221/15/09/P09022