Evaluating Digitizer Readout for Improved Spatial Resolution and Noise Suppression in Preparation for Next-Generation Nuclear Detector Systems
POSTER
Abstract
Nuclear reaction measurements with semi-conductor charged particle detectors require high resolution and high counting rates. This project investigates whether digitizer-based readout offers improved effectiveness for spatial resolution and noise suppression in a quadrant-segmented silicon detector (MSPSD DL-63). The detector was operated in vacuum with a triple alpha source and read out using a CAEN DT5730 digitizer and CoMPASS software. A gating signal derived from the back contact was used to reduce noise and enable event selection. To evaluate spatial fidelity, a variety of 3D-printed mask geometries were tested under digitizer conditions. Python-based scripts were developed to process the data, perform event matching, and generate 2D histograms for comparison. Preliminary results will be presented.
*This work is supported in part by U.S. DOE and NSF.
Presenters
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Steven Herrera
- Rutgers University