Sonix

The European Spallation Source (ESS) in Lund, Sweden is just entering the construction phase with 3 neutron instruments having started in its design concept phase in 2014. As a collaboration of 17 European countries the majority of hardware devices for neutron instrumentation will be provided in-kind. This presents numerous technical and organisational challenges for the construction and the integration of the instruments into the facility wide infrastructure; notably the EPICS control network with standardised hardware interfaces and the facilities absolute timing system. Additionally the new generation of pulsed source requires a new complexity and flexibility of instrumentation to fully exploit its opportunities. In this contribution we present a strategy for the modularity of the instrument hardware with well-defined standardized functionality and control & data interfaces integrating into EPICS and the facilities timing system. It allows for in-kind contribution of dedicated modules for each instrument (horizontal approach) as well as of whole instruments (vertical approach). Key point of the strategy is the time stamping of all readings from the instruments control electronics extending the event mode data acquisition from neutron events to all metadata. This gives the control software the flexibility necessary to adapt the functionality of the instruments to the demands of each single experiment. We present the advantages of that approach for operation and diagnostics and discuss additional hardware requirements necessary.

Many of the world׳s time-of-flight spallation neutrons sources are migrating to recording individual neutron events. This provides for new opportunities in data processing, the least of which is to filter the events based on correlating them with logs of sample environment and other ancillary equipment. This paper will describe techniques for processing neutron scattering data acquired in event mode which preserve event information all the way to a final spectrum, including any necessary corrections or normalizations. This results in smaller final uncertainties compared to traditional methods, while significantly reducing processing time and memory requirements in typical experiments. Results with traditional histogramming techniques will be shown for comparison.