Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE
Abstract
We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid argon time projection chamber for the study of neutrino properties and interactions. SparseSSNet is a submanifold sparse convolutional neural network, which provides the initial machine learning based algorithm utilized in one of MicroBooNE's -appearance oscillation analyses. The network is trained to categorize pixels into five classes, which are re-classified into two classes more relevant to the current analysis. The output of SparseSSNet is a key input in further analysis steps. This technique, used for the first time in liquid argon time projection chambers data and is an improvement compared to a previously used convolutional neural network, both in accuracy and computing resource utilization. The accuracy achieved on the test sample is . For full neutrino interaction simulations, the time for processing one image is 0.5 sec, the memory usage is at 1 GB level, which allows utilization of most typical CPU worker machine.
Keywords
Cite
@article{arxiv.2012.08513,
title = {Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE},
author = {MicroBooNE collaboration and P. Abratenko and M. Alrashed and R. An and J. Anthony and J. Asaadi and A. Ashkenazi and S. Balasubramanian and B. Baller and C. Barnes and G. Barr and V. Basque and L. Bathe-Peters and O. Benevides Rodrigues and S. Berkman and A. Bhanderi and A. Bhat and M. Bishai and A. Blake and T. Bolton and L. Camilleri and D. Caratelli and I. Caro Terrazas and R. Castillo Fernandez and F. Cavanna and G. Cerati and Y. Chen and E. Church and D. Cianci and J. M. Conrad and M. Convery and L. Cooper-Troendle and J. I. Crespo-Anadon and M. Del Tutto and S. R. Dennis and D. Devitt and R. Diurba and R. Dorrill and K. Duffy and S. Dytman and B. Eberly and A. Ereditato and J. J. Evans and G. A. Fiorentini Aguirre and R. S. Fitzpatrick and B. T. Fleming and N. Foppiani and D. Franco and A. P. Furmanski and D. Garcia-Gamez and S. Gardiner and G. Ge and S. Gollapinni and O. Goodwin and E. Gramellini and P. Green and H. Greenlee and W. Gu and R. Guenette and P. Guzowski and L. Hagaman and E. Hall and P. Hamilton and O. Hen and G. A. Horton-Smith and A. Hourlier and R. Itay and C. James and J. Jan de Vries and X. Ji and L. Jiang and J. H. Jo and R. A. Johnson and Y. J. Jwa and N. Kamp and N. Kaneshige and G. Karagiorgi and W. Ketchum and B. Kirby and M. Kirby and T. Kobilarcik and I. Kreslo and R. LaZur and I. Lepetic and K. Li and Y. Li and B. R. Littlejohn and W. C. Louis and X. Luo and A. Marchionni and C. Mariani and D. Marsden and J. Marshall and J. Martin-Albo and D. A. Martinez Caicedo and K. Mason and A. Mastbaum and N. McConkey and V. Meddage and T. Mettler and K. Miller and J. Mills and K. Mistry and T. Mohayai and A. Mogan and J. Moon and M. Mooney and A. F. Moor and C. D. Moore and L. Mora Lepin and J. Mousseau and M. Murphy and D. Naples and A. Navrer-Agasson and R. K. Neely and P. Nienaber and J. Nowak and O. Palamara and V. Paolone and A. Papadopoulou and V. Papavassiliou and S. F. Pate and A. Paudel and Z. Pavlovic and E. Piasetzky and I. Ponce-Pinto and S. Prince and X. Qian and J. L. Raaf and V. Radeka and A. Rafique and M. Reggiani-Guzzo and L. Ren and L. Rochester and J. Rodriguez Rondon and H. E. Rogers and M. Rosenberg and M. Ross-Lonergan and B. Russell and G. Scanavini and D. W. Schmitz and A. Schukraft and W. Seligman and M. H. Shaevitz and R. Sharankova and J. Sinclair and A. Smith and E. L. Snider and M. Soderberg and S. Soldner-Rembold and S. R. Soleti and P. Spentzouris and J. Spitz and M. Stancari and J. St. John and T. Strauss and K. Sutton and S. Sword-Fehlberg and A. M. Szelc and N. Tagg and W. Tang and K. Terao and C. Thorpe and M. Toups and Y. -T. Tsai and M. A. Uchida and T. Usher and W. Van De Pontseele and B. Viren and M. Weber and H. Wei and Z. Williams and S. Wolbers and T. Wongjirad and M. Wospakrik and W. Wu and E. Yandel and T. Yang and G. Yarbrough and L. E. Yates and G. P. Zeller and J. Zennamo and C. Zhang},
journal= {arXiv preprint arXiv:2012.08513},
year = {2021}
}