# Design and Development of JUNO Event Data Model

**Authors:** Teng Li, Xin Xia, XingTao Huang, JiaHeng Zou, WeiDong Li, Tao lin, Kun, Zhang, ZiYan Deng

arXiv: 1702.04100 · 2017-03-08

## TL;DR

The paper details the design, implementation, and performance of the JUNO Event Data Model, which manages event data throughout processing stages for neutrino detection experiments.

## Contribution

It introduces a flexible, comprehensive data model for JUNO's offline software, enabling efficient event handling and data management for neutrino research.

## Key findings

- Successful implementation of the EDM in JUNO software
- Enhanced event handling capabilities demonstrated
- Improved data management for neutrino experiments

## Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) detector is designed to determine the neutrino mass hierarchy and precisely measure oscillation parameters. The general purpose design also allows measurements of neutrinos from many terrestrial and non-terrestrial sources. The JUNO Event Data Model (EDM) plays a central role in the offline software system, it describes the event data entities through all processing stages for both simulated and collected data, and provides persistency via the input/output system. Also, the EDM is designed to enable flexible event handling such as event navigation, as well as the splitting of MC IBD signals and mixing of MC backgrounds. This paper describes the design, implementation and performance of JUNO EDM.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1702.04100/full.md

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/1702.04100/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/1702.04100/full.md

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Source: https://tomesphere.com/paper/1702.04100