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Majorana Demonstrator Data Release for AI/ML Applications

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arxiv 2308.10856 v3 pith:U4L5P564 submitted 2023-08-21 cs.LG nucl-exphysics.data-anphysics.ins-det

Majorana Demonstrator Data Release for AI/ML Applications

I.J. Arnquist , F.T. Avignone III , A.S. Barabash , C.J. Barton , K.H. Bhimani , E. Blalock , B. Bos , M. Busch
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M. Buuck T.S. Caldwell Y.-D. Chan C.D. Christofferson P.-H. Chu M.L. Clark C. Cuesta J.A. Detwiler Yu. Efremenko H. Ejiri S.R. Elliott N. Fuad G.K. Giovanetti M.P. Green J. Gruszko I.S. Guinn V.E. Guiseppe C.R. Haufe R. Henning D. Hervas Aguilar E.W. Hoppe A. Hostiuc M.F. Kidd I. Kim R.T. Kouzes T.E. Lannen V A. Li J.M. Lopez-Castano R.D. Martin R. Massarczyk S.J. Meijer S. Mertens T.K. Oli L.S. Paudel W. Pettus A.W.P. Poon B. Quenallata D.C. Radford A.L. Reine K. Rielage N.W. Ruof D.C. Schaper S.J. Schleich D. Tedeschi R.L. Varner S. Vasilyev S.L. Watkins J.F. Wilkerson C. Wiseman W. Xu C.-H. Yu B.X. Zhu
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classification cs.LG nucl-exphysics.data-anphysics.ins-det
keywords datareleasedatasetmajoranasectioncontainsdemonstratorformat
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The enclosed data release consists of a subset of the calibration data from the Majorana Demonstrator experiment. Each Majorana event is accompanied by raw Germanium detector waveforms, pulse shape discrimination cuts, and calibrated final energies, all shared in an HDF5 file format along with relevant metadata. This release is specifically designed to support the training and testing of Artificial Intelligence (AI) and Machine Learning (ML) algorithms upon our data. This document is structured as follows. Section I provides an overview of the dataset's content and format; Section II outlines the location of this dataset and the method for accessing it; Section III presents the NPML Machine Learning Challenge associated with this dataset; Section IV contains a disclaimer from the Majorana collaboration regarding the use of this dataset; Appendix A contains technical details of this data release. Please direct questions about the material provided within this release to liaobo77@ucsd.edu (A. Li).

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