# The XENON1T Data Distribution and Processing Scheme

## TL;DR

This paper details the comprehensive data distribution and processing framework for the XENON1T dark matter experiment, utilizing distributed computing resources and software tools to manage large-scale data handling and analysis.

## Contribution

It introduces a complete overview of the data management scheme for XENON1T, integrating existing software and grid resources, and discusses its application to the successor experiment XENONnT.

## Key findings

- Efficient data handling across multiple grid systems.
- Successful integration of Rucio, TSM, and CI Connect for data management.
- Scalable computing scheme supporting XENON1T and XENONnT operations.

## Abstract

The XENON experiment is looking for non-baryonic particle dark matter in the universe. The setup is a dual phase time projection chamber (TPC) filled with 3200 kg of ultra-pure liquid xenon. The setup is operated at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy. We present a full overview of the computing scheme for data distribution and job management in XENON1T. The software package Rucio, which is developed by the ATLAS collaboration, facilitates data handling on Open Science Grid (OSG) and European Grid Infrastructure (EGI) storage systems. A tape copy at the Center for High Performance Computing (PDC) is managed by the Tivoli Storage Manager (TSM). Data reduction and Monte Carlo production are handled by CI Connect which is integrated into the OSG network. The job submission system connects resources at the EGI, OSG, SDSC's Comet, and the campus HPC resources for distributed computing. The previous success in the XENON1T computing scheme is also the starting point for its successor experiment XENONnT, which starts to take data in autumn 2019.