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  1. Book ; Online: A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

    MicroBooNE collaboration / Adams, C. / Alrashed, M. / An, R. / Anthony, J. / Asaadi, J. / Ashkenazi, A. / Auger, M. / Balasubramanian, S. / Baller, B. / Barnes, C. / Barr, G. / Bass, M. / Bay, F. / Bhat, A. / Bhattacharya, K. / Bishai, M. / Blake, A. / Bolton, T. /
    Camilleri, L. / Caratelli, D. / Terrazas, I. Caro / Carr, R. / Fernandez, R. Castillo / Cavanna, F. / Cerati, G. / Chen, Y. / Church, E. / Cianci, D. / Cohen, E. / Collin, G. H. / Conrad, J. M. / Convery, M. / Cooper-Troendle, L. / Crespo-Anadon, J. I. / Del Tutto, M. / Devitt, D. / Diaz, A. / Duffy, K. / Dytman, S. / Eberly, B. / Ereditato, A. / Sanchez, L. Escudero / Esquivel, J. / Evans, J. J. / Fadeeva, A. A. / Fitzpatrick, R. S. / Fleming, B. T. / Franco, D. / Furmanski, A. P.

    2018  

    Abstract: We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, ... ...

    Abstract We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC data using MicroBooNE collection plane images. The demonstration is performed for stopping muon and a $\nu_\mu$ charged current neutral pion data samples.
    Keywords High Energy Physics - Experiment ; Computer Science - Computer Vision and Pattern Recognition ; Physics - Data Analysis ; Statistics and Probability ; Physics - Instrumentation and Detectors
    Publishing date 2018-08-22
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data

    MicroBooNE collaboration / Abratenko, P. / An, R. / Anthony, J. / Asaadi, J. / Ashkenazi, A. / Balasubramanian, S. / Baller, B. / Barnes, C. / Barr, G. / Basque, V. / Bathe-Peters, L. / Rodrigues, O. Benevides / Berkman, S. / Bhanderi, A. / Bhat, A. / Bishai, M. / Blake, A. / Bolton, T. /
    Camilleri, L. / Caratelli, D. / Terrazas, I. Caro / Fernandez, R. Castillo / Cavanna, F. / Cerati, G. / Chen, Y. / Church, E. / Cianci, D. / Conrad, J. M. / Convery, M. / Cooper-Troendle, L. / Crespo-Anadon, J. I. / Del Tutto, M. / Dennis, S. R. / Devitt, D. / Diurba, R. / Dorrill, R. / Duffy, K. / Dytman, S. / Eberly, B. / Ereditato, A. / Evans, J. J. / Fine, R. / Aguirre, G. A. Fiorentini / Fitzpatrick, R. S. / Fleming, B. T. / Foppiani, N. / Franco, D. / Furmanski, A. P. / Garcia-Gamez, D. / Gardiner, S. / Ge, G. / Gollapinni, S. / Goodwin, O. / Gramellini, E. / Green, P. / Greenlee, H. / Gu, W. / Guenette, R. / Guzowski, P. / Hagaman, L. / Hall, E. / Hamilton, P. / Hen, O. / Horton-Smith, G. A. / Hourlier, A. / Itay, R. / James, C. / Ji, X. / Jiang, L. / Jo, J. H. / Johnson, R. A. / Jwa, Y. J. / Kamp, N. / Kaneshige, N. / Karagiorgi, G. / Ketchum, W. / Kirby, M. / Kobilarcik, T. / Kreslo, I. / LaZur, R. / Lepetic, I. / Li, K. / Li, Y. / Lin, K. / Littlejohn, B. R. / Louis, W. C. / Luo, X. / Manivannan, K. / Mariani, C. / Marsden, D. / Marshall, J. / Caicedo, D. A. Martinez / Mason, K. / Mastbaum, A. / McConkey, N. / Meddage, V. / Mettler, T. / Miller, K. / Mills, J. / Mistry, K. / Mohayai, T. / Mogan, A. / Moon, J. / Mooney, M. / Moor, A. F. / Moore, C. D. / Lepin, L. Mora / Mousseau, J. / Murphy, M. / Naples, D. / Navrer-Agasson, A. / Neely, R. K. / Nowak, J. / Nunes, M. / Palamara, O. / Paolone, V. / Papadopoulou, A. / Papavassiliou, V. / Pate, S. F. / Paudel, A. / Pavlovic, Z. / Piasetzky, E. / Ponce-Pinto, I. / Prince, S. / Qian, X. / Raaf, J. L. / Radeka, V. / Rafique, A. / Reggiani-Guzzo, M. / Ren, L. / Rice, L. C. J. / Rochester, L. / Rondon, J. Rodriguez / Rogers, H. E. / Rosenberg, M. / Ross-Lonergan, M. / Scanavini, G. / Schmitz, D. W. / Schukraft, A. / Seligman, W. / Shaevitz, M. H. / Sharankova, R. / Sinclair, J. / Smith, A. / Snider, E. L. / Soderberg, M. / Soldner-Rembold, S. / Spentzouris, P. / Spitz, J. / Stancari, M. / John, J. St. / Strauss, T. / Sutton, K. / Sword-Fehlberg, S. / Szelc, A. M. / Tagg, N. / Tang, W. / Terao, K. / Thorpe, C. / Totani, D. / Toups, M. / Tsai, Y. -T. / Uchida, M. A. / Usher, T. / Van De Pontseele, W. / Viren, B. / Weber, M. / Wei, H. / Williams, Z. / Wolbers, S. / Wongjirad, T. / Wospakrik, M. / Wright, N. / Wu, W. / Yandel, E. / Yang, T. / Yarbrough, G. / Yates, L. E. / Zeller, G. P. / Zennamo, J. / Zhang, C.

    2021  

    Abstract: The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of ... ...

    Abstract The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of this novel detector technology. Accurate and precise measurements of calorimetry are essential to the event reconstruction and are achieved by leveraging the TPC to measure deposited energy per unit length along the particle trajectory, with mm resolution. We describe the non-uniform calorimetric reconstruction performance in the detector, showing dependence on the angle of the particle trajectory. Such non-uniform reconstruction directly affects the performance of the particle identification algorithms which infer particle type from calorimetric measurements. This work presents a new particle identification method which accounts for and effectively addresses such non-uniformity. The newly developed method shows improved performance compared to previous algorithms, illustrated by a 94% proton selection efficiency and a 10% muon mis-identification rate, with a fairly loose selection of tracks performed on beam data. The performance is further demonstrated by identifying exclusive final states in $\nu_{\mu} CC$ interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.

    Comment: 17 pages, 9 figures The updated version contains a clearer fig 1, some better quantification of physics reach in section 6.3, while several typos have been fixed
    Keywords Physics - Instrumentation and Detectors ; High Energy Physics - Experiment
    Subject code 621
    Publishing date 2021-08-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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