Software-based data acquisition and processing for neutron detectors at European Spallation Source - early experience from four detector designs

TL;DR

This paper discusses the development of software-based data acquisition and processing pipelines for various neutron detectors at ESS, emphasizing flexibility, scalability, and early experimentation capabilities.

Contribution

It introduces a unified software architecture for neutron data processing at ESS, enabling flexible, scalable, and efficient handling of data from multiple detector types.

Findings

Processing rates meet detector requirements

Tools support efficient early experimentation

Software architecture is adaptable for different detectors

Abstract

European Spallation Source (ESS) will deliver neutrons at high flux for use in diverse neutron scattering techniques. The neutron source facility and the scientific instruments will be located in Lund, and the Data Management and Software Centre (DMSC), in Copenhagen. A number of detector prototypes are being developed at ESS together with its European in-kind partners, for example: SoNDe, Multi-Grid, Multi-Blade and Gd-GEM. These are all position sensitive detectors but use different techniques for the detection of neutrons. Except for digitization of electronics readout, all neutron data is anticipated to be processed in software. This provides maximum flexibility and adaptability and allows deep inspection of the raw data for commissioning which will reduce the risk of starting up new detector technologies. But it also requires development of high performance software processing pipelines and optimized and scalable processing algorithms. This report provides a description of the ESS system architecture for the neutron data path. Special focus is on the interface between the detectors and DMSC which is based on UDP over Ethernet links. The report also describes the software architecture for detector data processing and the tools we have developed, which have proven very useful for efficient early experimentation, and can be run on a single laptop. Processing requirements for the SoNDe, Multi-Grid, Multi-Blade and Ge-GEM detectors are presented and compared to event processing rates archived so far.