Loading…

Giga-sample Pulse Acquisition and Digital Processing for Photomultiplier Detectors

Digital Pulse Processing offers multiple advantages over traditional analogue processing chains. As a disadvantage, produce gigabytes of data every second. Storing and processing such data rates in real-time still remains a challenge. Analogue solutions are not riddled with this issue, however, they...

Full description

Saved in:
Bibliographic Details
Published in:Journal of fusion energy 2022-06, Vol.41 (1), p.8, Article 8
Main Authors: Walewski, W., Nowak vel Nowakowski, P., Makowski, D.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Digital Pulse Processing offers multiple advantages over traditional analogue processing chains. As a disadvantage, produce gigabytes of data every second. Storing and processing such data rates in real-time still remains a challenge. Analogue solutions are not riddled with this issue, however, they offer limited flexibility and modifiability. This work highlights the advantages of Digital Pulse Processing over Analogue Pulse Processing and describes a successful implementation of a digital pulse detection and acquisition system based on Field Programmable Gate Arrays. The system is tasked with processing pulses generated by a Photo Multiplier Tube nuclear detector. Incoming signals are sampled at a 1 GS/s rate, so to enable full acquisition resolution, throughput is reduced with digital detection filters and leading-edge triggering or with a derivative zero-crossing detector. Three different fast timing filters are adapted to high-speed real-time acquisition and compared in a simulated scenario. A trapezoidal filter is implemented in firmware alongside the detection channel for pulse height analysis. Thanks to the use of reprogrammable devices, the system remains versatile and can be remotely adapted to different needs with no additional hardware costs.
ISSN:0164-0313
1572-9591
DOI:10.1007/s10894-022-00320-0