Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching

Abratenko, P.; Alrashed, M.; An, R.; Anthony, J.; Asaadi, J.; Ashkenazi, A.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Basque, V.; Bathe-Peters, L.; Benevides Rodrigues, O.; Berkman, S.; Bhanderi, A.; Bhat, A.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L.; Caratelli, D.; Caro Terrazas, I.; Castillo Fernandez, R.; Cavanna, F.; Cerati, G.; Chen, Y.; Church, E.; Cianci, D.; Conrad, J. M.; Convery, M.; Cooper-Troendle, L.; Crespo-Anadón, J. I.; Del Tutto, M.; Devitt, D.; Diurba, R.; Domine, L.; Dorrill, R.; Duffy, K.; Dytman, S.; Eberly, B.; Ereditato, A.; Escudero Sanchez, L.; Evans, J. J.; Fiorentini Aguirre, G. A.; 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.; Hall, E.; Hamilton, P.; Hen, O.; Horton-Smith, G. A.; Hourlier, A.; Huang, E. C.; Itay, R.; James, C.; Jan de Vries, J.; Ji, X.; Jiang, L.; Jo, J. H.; Johnson, R. A.; Jwa, Y. -J.; Kamp, N.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; LaZur, R.; Lepetic, I.; Li, K.; Li, Y.; Littlejohn, B. R.; Lorca, D.; Louis, W. C.; Luo, X.; Marchionni, A.; Marcocci, S.; Mariani, C.; Marsden, D.; Marshall, J.; Martin-Albo, J.; Martinez Caicedo, D. A.; Mason, K.; Mastbaum, A.; McConkey, N.; Meddage, V.; Mettler, T.; Miller, K.; Mills, J.; Mistry, K.; Mogan, A.; Mohayai, T.; Moon, J.; Mooney, M.; Moor, A. F.; Moore, C. D.; Mousseau, J.; Murphy, M.; Naples, D.; Navrer-Agasson, A.; Neely, R. K.; Nienaber, P.; Nowak, J.; Palamara, O.; Paolone, V.; Papadopoulou, A.; Papavassiliou, V.; Pate, S. F.; Paudel, A.; Pavlovic, Z.; Piasetzky, E.; Ponce-Pinto, I. D.; Porzio, D.; Prince, S.; Qian, X.; Raaf, J. L.; Radeka, V.; Rafique, A.; Reggiani-Guzzo, M.; Ren, L.; Rochester, L.; Rodriguez Rondon, J.; Rogers, H. E.; Rosenberg, M.; Ross-Lonergan, M.; Russell, B.; Scanavini, G.; Schmitz, D. W.; Schukraft, A.; Shaevitz, M. H.; Sharankova, R.; Sinclair, J.; Smith, A.; Snider, E. L.; Soderberg, M.; Söldner-Rembold, S.; Soleti, S. R.; Spentzouris, P.; Spitz, J.; Stancari, M.; St. John, J.; Strauss, T.; Sutton, K.; Sword-Fehlberg, S.; Szelc, A. M.; Tagg, N.; Tang, W.; Terao, K.; Thorpe, C.; Toups, M.; Tsai, Y. -T.; Tufanli, S.; Uchida, M. A.; Usher, T.; Van De Pontseele, W.; Viren, B.; Weber, M.; Wei, H.; Williams, Z.; Wolbers, S.; Wongjirad, T.; Wospakrik, M.; Wu, W.; Yang, T.; Yarbrough, G.; Yates, L. E.; Yu, H. W.; Zeller, G. P.; Zennamo, J.; Zhang, C.

doi:10.1088/1748-0221/16/06/p06043

Title: Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching

Abstract

An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches. Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method for LArTPCs. The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and geometry information to reconstruct a topology-agnostic 3D image of the ionization electrons prior to pattern recognition. A second novel method, the many-to-many charge-light matching, then pairs the TPC charge activity to the detected scintillation light signal, thus enabling a powerful rejection of cosmic-ray muons in the MicroBooNE detector. A robust processing of the scintillation light signal and an appropriate clustering of the reconstructed 3D image are fundamental to this technique. In this paper, we describe the principles and algorithms of these techniques and their successful application in the MicroBooNE experiment. A quantitative evaluation of the performance of these techniques is presented. Using these techniques, a 95% efficient pre-selection of neutrino charged-current events is achieved with a 30-fold reduction of non-beam-coincident cosmic-ray muons, and about 80% of the selected neutrino charged-current events are reconstructed withmore »« less

Authors:: Abratenko, P.; Alrashed, M.; An, R.; Anthony, J.; Asaadi, J.; Ashkenazi, A.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Basque, V.; Bathe-Peters, L.; Benevides Rodrigues, O.; Berkman, S.; Bhanderi, A.; Bhat, A.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L. more »« less

Publication Date:: Wed Jun 30 00:00:00 EDT 2021

Research Org.:: Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF); USDOE Office of Science (SC), Nuclear Physics (NP)

Contributing Org.:: MicroBooNE Collaboration; MicroBooNE; The MicroBooNE Collaboration

OSTI Identifier:: 1836523

Alternate Identifier(s):: OSTI ID: 1764046; OSTI ID: 1773125; OSTI ID: 1866746

Report Number(s):: FERMILAB-PUB-20-578-ND; arXiv:2011.01375; BNL-221211-2021-JAAM
Journal ID: ISSN 1748-0221

Grant/Contract Number:: SC0020262; AC02-07CH11359; SC0012704; SC0007859

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Instrumentation

Additional Journal Information:: Journal Volume: 16; Journal Issue: 06; Journal ID: ISSN 1748-0221

Publisher:: Institute of Physics (IOP)

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION; LArTPC; MicroBooNE; Wire-Cell; 3D imaging; charge-light matching; clustering; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Data processing methods; Neutrino detectors; Pattern recognition, cluster finding, calibration and fitting methods; Time projection chambers

Citation Formats


                    Abratenko, P., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Benevides Rodrigues, O., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Caro Terrazas, I., Castillo Fernandez, R., Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Escudero Sanchez, L., Evans, J. J., Fiorentini Aguirre, G. A., 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., Jan de Vries, J., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. -J., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Littlejohn, B. R., Lorca, D., Louis, W. C., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Martinez Caicedo, D. A., Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mogan, A., Mohayai, T., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Mousseau, J., Murphy, M., Naples, D., Navrer-Agasson, A., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I. D., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rodriguez Rondon, J., Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., St. John, J., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thorpe, C., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C. Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching.  United States: N. p., 2021. 
Web.  doi:10.1088/1748-0221/16/06/p06043.

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                    Abratenko, P., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Benevides Rodrigues, O., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Caro Terrazas, I., Castillo Fernandez, R., Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Escudero Sanchez, L., Evans, J. J., Fiorentini Aguirre, G. A., 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., Jan de Vries, J., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. -J., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Littlejohn, B. R., Lorca, D., Louis, W. C., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Martinez Caicedo, D. A., Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mogan, A., Mohayai, T., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Mousseau, J., Murphy, M., Naples, D., Navrer-Agasson, A., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I. D., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rodriguez Rondon, J., Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., St. John, J., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thorpe, C., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., & Zhang, C. Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching.  United States.  https://doi.org/10.1088/1748-0221/16/06/p06043

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                    Abratenko, P., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Benevides Rodrigues, O., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Caro Terrazas, I., Castillo Fernandez, R., Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Escudero Sanchez, L., Evans, J. J., Fiorentini Aguirre, G. A., 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., Jan de Vries, J., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. -J., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Littlejohn, B. R., Lorca, D., Louis, W. C., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Martinez Caicedo, D. A., Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mogan, A., Mohayai, T., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Mousseau, J., Murphy, M., Naples, D., Navrer-Agasson, A., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I. D., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rodriguez Rondon, J., Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., St. John, J., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thorpe, C., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C. Wed .  
"Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching".  United States.  https://doi.org/10.1088/1748-0221/16/06/p06043.  https://www.osti.gov/servlets/purl/1836523.

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@article{osti_1836523,

  title        = {Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching},

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

  abstractNote = {An accurate and efficient event reconstruction is required to realize the full scientific capability of liquid argon time projection chambers (LArTPCs). The current and future neutrino experiments that rely on massive LArTPCs create a need for new ideas and reconstruction approaches. Wire-Cell, proposed in recent years, is a novel tomographic event reconstruction method for LArTPCs. The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and geometry information to reconstruct a topology-agnostic 3D image of the ionization electrons prior to pattern recognition. A second novel method, the many-to-many charge-light matching, then pairs the TPC charge activity to the detected scintillation light signal, thus enabling a powerful rejection of cosmic-ray muons in the MicroBooNE detector. A robust processing of the scintillation light signal and an appropriate clustering of the reconstructed 3D image are fundamental to this technique. In this paper, we describe the principles and algorithms of these techniques and their successful application in the MicroBooNE experiment. A quantitative evaluation of the performance of these techniques is presented. Using these techniques, a 95% efficient pre-selection of neutrino charged-current events is achieved with a 30-fold reduction of non-beam-coincident cosmic-ray muons, and about 80% of the selected neutrino charged-current events are reconstructed with at least 70% completeness and 80% purity.},

  doi          = {10.1088/1748-0221/16/06/p06043},

  journal      = {Journal of Instrumentation},

  number       = 06,

  volume       = 16,

  place        = {United States},

  year         = {Wed Jun 30 00:00:00 EDT 2021},

  month        = {Wed Jun 30 00:00:00 EDT 2021}

}

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Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber
journal, May 2019

Adams, C.; Alrashed, M.; An, R.
Physical Review D, Vol. 99, Issue 9
DOI: 10.1103/PhysRevD.99.092001

Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation
journal, July 2018

Adams, C.; An, R.; Anthony, J.
Journal of Instrumentation, Vol. 13, Issue 07
DOI: 10.1088/1748-0221/13/07/P07006

Measurement of space charge effects in the MicroBooNE LArTPC using cosmic muons
journal, December 2020

Abratenko, P.; Alrashed, M.; An, R.
Journal of Instrumentation, Vol. 15, Issue 12
DOI: 10.1088/1748-0221/15/12/P12037

Geant4—a simulation toolkit
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Agostinelli, S.; Allison, J.; Amako, K.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 506, Issue 3
DOI: 10.1016/S0168-9002(03)01368-8

Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber
journal, March 2017

Acciarri, R.; Adams, C.; An, R.
Journal of Instrumentation, Vol. 12, Issue 03
DOI: 10.1088/1748-0221/12/03/P03011

The photomultiplier tube calibration system of the MicroBooNE experiment
journal, June 2015

Conrad, J.; Jones, B. J. P.; Moss, Z.
Journal of Instrumentation, Vol. 10, Issue 06
DOI: 10.1088/1748-0221/10/06/T06001

Neutrino flux prediction at MiniBooNE
journal, April 2009

Aguilar-Arevalo, A. A.; Anderson, C. E.; Bazarko, A. O.
Physical Review D, Vol. 79, Issue 7
DOI: 10.1103/PhysRevD.79.072002

Liquid-argon ionization chambers as total-absorption detectors
journal, September 1974

Willis, W. J.; Radeka, V.
Nuclear Instruments and Methods, Vol. 120, Issue 2
DOI: 10.1016/0029-554X(74)90039-1

The Short-Baseline Neutrino Program at Fermilab
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Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neural network
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Journal of Instrumentation, Vol. 16, Issue 01
DOI: 10.1088/1748-0221/16/01/P01036

Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector
journal, June 2021

Abratenko, P.; Alrashed, M.; An, R.
Physical Review Applied, Vol. 15, Issue 6
DOI: 10.1103/PhysRevApplied.15.064071

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Title: Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching

Abstract

Citation Formats

Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC journal, August 2017

Neutrino identification with scintillation light in MicroBooNE journal, March 2020

The GENIE Neutrino Monte Carlo Generator: Physics and User Manual report, October 2015

Volume I. Introduction to DUNE journal, August 2020

Recent developments in Geant4 journal, November 2016

Three-dimensional imaging for large LArTPCs journal, May 2018

Construction and assembly of the wire planes for the MicroBooNE Time Projection Chamber journal, March 2017

Design and construction of the MicroBooNE detector journal, February 2017

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector journal, January 2018

Ionization electron signal processing in single phase LArTPCs. Part II. Data/simulation comparison and performance in MicroBooNE journal, July 2018

Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber journal, May 2019

Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation journal, July 2018

Measurement of space charge effects in the MicroBooNE LArTPC using cosmic muons journal, December 2020

Geant4—a simulation toolkit journal, July 2003

Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber journal, March 2017

The photomultiplier tube calibration system of the MicroBooNE experiment journal, June 2015

Neutrino flux prediction at MiniBooNE journal, April 2009

Liquid-argon ionization chambers as total-absorption detectors journal, September 1974

The Short-Baseline Neutrino Program at Fermilab journal, October 2019

Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neural network journal, January 2021

Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector journal, June 2021

Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC
journal, August 2017

Neutrino identification with scintillation light in MicroBooNE
journal, March 2020

The GENIE Neutrino Monte Carlo Generator: Physics and User Manual
report, October 2015

Volume I. Introduction to DUNE
journal, August 2020

Recent developments in Geant4
journal, November 2016

Three-dimensional imaging for large LArTPCs
journal, May 2018

Construction and assembly of the wire planes for the MicroBooNE Time Projection Chamber
journal, March 2017

Design and construction of the MicroBooNE detector
journal, February 2017

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector
journal, January 2018

Ionization electron signal processing in single phase LArTPCs. Part II. Data/simulation comparison and performance in MicroBooNE
journal, July 2018

Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber
journal, May 2019

Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation
journal, July 2018

Measurement of space charge effects in the MicroBooNE LArTPC using cosmic muons
journal, December 2020

Geant4—a simulation toolkit
journal, July 2003

Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber
journal, March 2017

The photomultiplier tube calibration system of the MicroBooNE experiment
journal, June 2015

Neutrino flux prediction at MiniBooNE
journal, April 2009

Liquid-argon ionization chambers as total-absorption detectors
journal, September 1974

The Short-Baseline Neutrino Program at Fermilab
journal, October 2019

Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neural network
journal, January 2021

Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector
journal, June 2021