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EXO-200 Public Data Release for AI/ML Applications
Preprint   Open access

EXO-200 Public Data Release for AI/ML Applications

S. Al Kharusi, G Anton, I Badhrees, P. S Barbeau, V Belov, T Bhatta, M Breidenbach, T Brunner, G. F Cao, W. R Cen, …
arXiv (Cornell University)
28 Sep 2026
url
https://doi.org/10.48550/arXiv.2609.34304View
Preprint (Author's original) Open arXiv.org - Non-exclusive license to distribute

Abstract

Physics - Instrumentation and Detectors Physics - Nuclear Experiment
We present a public release of a subset of calibration data from the EXO-200 experiment, a liquid xenon time projection chamber designed to search for neutrinoless double-beta decay in¹³⁶ Xe. The released dataset consists of approximately one million events collected during²²⁸ Th calibration campaigns performed near the end of Phase-II operations between February 26 and March 2, 2018. For each event, the dataset includes raw detector waveforms from the U-wire, V-wire, and avalanche photodiode (APD) readout channels together with reconstructed event quantities including charge energy, light energy, rotated energy, and charge-cluster information. The dataset is distributed in HDF5 format and is intended to support data preservation, educational activities, and the development of modern machine-learning techniques for rare-event physics. This paper describes the detector, dataset contents, file structure, and public access mechanism.

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