Cosmic ray muon clustering for the MicroBooNE liquid argon time projection chamber using sMask-RCNN

In this article, we describe a modified implementation of Mask Region-based Convolutional Neural Networks (Mask-RCNN) for cosmic ray muon clustering in a liquid argon TPC and applied to MicroBooNE neutrino data. Our implementation of this network, called sMask-RCNN, uses sparse submanifold convoluti...

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Veröffentlicht in:	Journal of instrumentation 2022-09, Vol.17 (9), p.P09015
Hauptverfasser:	Balasubramanian, S., Baller, B., Barnes, C., Basque, V., Benevides Rodrigues, O., Bishai, M., Camilleri, L., Caratelli, D., Chen, Y., Church, E., Cianci, D., Conrad, J.M., Convery, M., Del Tutto, M., Dennis, S.R., Detje, P., Devitt, A., Dorrill, R., Dytman, S., Eberly, B., Evans, J.J., Fine, R., Fitzpatrick, R.S., Franco, D., Furmanski, A.P., Gardiner, S., Ge, G., Gollapinni, S., Greenlee, H., Guenette, R., Hagaman, L., Hilgenberg, C., Horton-Smith, G.A., Hourlier, A., Itay, R., Jo, J.H., Johnson, R.A., Kalra, D., Kaneshige, N., Karagiorgi, G., Lepetic, I., Li, J.-Y., Li, Y., Lin, K., Littlejohn, B.R., Louis, W.C., Luo, X., Manivannan, K., Marsden, D., Marshall, J., Martinez Caicedo, D.A., Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mills, J., Mistry, K., Mogan, A., Moor, A.F., Mousseau, J., Mulleriababu, S., Naples, D., Navrer-Agasson, A., Neely, R.K., Nowak, J., Papadopoulou, A., Pate, S.F., Patel, N., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I.D., Rafique, A., Ren, L., Rice, L.C.J., Rodriguez Rondon, J., Ross-Lonergan, M., Scanavini, G., Schukraft, A., Seligman, W., Sinclair, J., Smith, A., Soderberg, M., Spentzouris, P., St. John, J., Strauss, T., Sword-Fehlberg, S., Szelc, A.M., Tagg, N., Thorpe, C., Toups, M., Uchida, M.A., Usher, T., Weber, M., Williams, Z., Wright, N., Wu, W., Yandel, E., Zennamo, J., Zhang, C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Argon Artificial neural networks Chambers Clustering Cosmic rays Efficiency Feature extraction Manifolds (mathematics) Muons Neutrinos OTHER INSTRUMENTATION Particle identification methods Particle interactions Pattern recognition, cluster finding, calibration and fitting methods Pixels Radiation counters Time projection chambers Wire
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