Grain - A Java Analysis Framework for Total Data Readout

TL;DR

Grain is a Java-based analysis framework designed for the Total Data Readout system, enabling efficient post-processing of asynchronously readout, timestamped data streams for experimental physics.

Contribution

It introduces a flexible, efficient Java framework tailored for Total Data Readout's unique data acquisition and analysis needs, with practical implementation insights.

Findings

Successfully processed real-life experiment data

Demonstrated efficient event parsing in Java

Validated framework's flexibility and performance

Abstract

Grain is a data analysis framework developed to be used with the novel Total Data Readout data acquisition system. In Total Data Readout all the electronics channels are read out asynchronously in singles mode and each data item is timestamped. Event building and analysis has to be done entirely in the software post-processing the data stream. A flexible and efficient event parser and the accompanying software framework have been written entirely in Java. The design and implementation of the software are discussed along with experiences gained in running real-life experiments.