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

Acciarri, R.; Adams, C.; An, R.; Anthony, J.; Asaadi, J.; Auger, M.; Bagby, L.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Bass, M.; Bay, F.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L.; Caratelli, D.; Carls, B.; Castillo Fernandez, R.; Cavanna, F.; Chen, H.; Church, E.; Cianci, D.; Cohen, E.; Collin, G. H.; Conrad, J. M.; Convery, M.; Crespo-Anadón, J. I.; Del Tutto, M.; Devitt, D.; Dytman, S.; Eberly, B.; Ereditato, A.; Escudero Sanchez, L.; Esquivel, J.; Fadeeva, A. A.; Fleming, B. T.; Foreman, W.; Furmanski, A. P.; Garcia-Gamez, D.; Garvey, G. T.; Genty, V.; Goeldi, D.; Gollapinni, S.; Graf, N.; Gramellini, E.; Greenlee, H.; Grosso, R.; Guenette, R.; Hackenburg, A.; Hamilton, P.; Hen, O.; Hewes, J.; Hill, C.; Ho, J.; Horton-Smith, G.; Hourlier, A.; Huang, E. -C.; James, C.; Jan de Vries, J.; Jen, C. -M.; Jiang, L.; Johnson, R. A.; Joshi, J.; Jostlein, H.; Kaleko, D.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; Laube, A.; Li, Y.; Lister, A.; Littlejohn, B. R.; Lockwitz, S.; Lorca, D.; Louis, W. C.; Luethi, M.; Lundberg, B.; Luo, X.; Marchionni, A.; Mariani, C.; Marshall, J.; Martinez Caicedo, D. A.; Meddage, V.; Miceli, T.; Mills, G. B.; Moon, J.; Mooney, M.; Moore, C. D.; Mousseau, J.; Murrells, R.; Naples, D.; Nienaber, P.; Nowak, J.; Palamara, O.; Paolone, V.; Papavassiliou, V.; Pate, S. F.; Pavlovic, Z.; Piasetzky, E.; Porzio, D.; Pulliam, G.; Qian, X.; Raaf, J. L.; Rafique, A.; Rochester, L.; Rudolf von Rohr, C.; Russell, B.; Schmitz, D. W.; Schukraft, A.; Seligman, W.; Shaevitz, M. H.; Sinclair, J.; Smith, A.; Snider, E. L.; Soderberg, M.; Söldner-Rembold, S.; Soleti, S. R.; Spentzouris, P.; Spitz, J.; St. John, J.; Strauss, T.; Szelc, A. M.; Tagg, N.; Terao, K.; Thomson, M.; Toups, M.; Tsai, Y. -T.; Tufanli, S.; Usher, T.; Van De Pontseele, W.; Van de Water, R. G.; Viren, B.; Weber, M.; Wickremasinghe, D. A.; Wolbers, S.; Wongjirad, T.; Woodruff, K.; Yang, T.; Yates, L.; Zeller, G. P.; Zennamo, J.; Zhang, C.

doi:10.1140/epjc/s10052-017-5481-6

Title: The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

Abstract

The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.

Authors:: Acciarri, R.; Adams, C.; An, R.; Anthony, J.; Asaadi, J.; Auger, M.; Bagby, L.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Bass, M.; Bay, F.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L.; Caratelli, D.; Carls, B.; Castillo Fernandez, R. more »« less

Publication Date:: Mon Jan 29 00:00:00 EST 2018

Research Org.:: 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)

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

Contributing Org.:: MicroBooNE; MicroBooNE Collaboration

OSTI Identifier:: 1418407

Alternate Identifier(s):: OSTI ID: 1398805; OSTI ID: 1424970

Report Number(s):: FERMILAB-PUB-17-306-ND; AIDA-2020-PUB-2017-002; arXiv:1708.03135; BNL-203308-2018-JAAM
Journal ID: ISSN 1434-6044; 82; PII: 5481

Grant/Contract Number:: SC0012704; AC02-07CH11359; 654168

Resource Type:: Published Article

Journal Name:: European Physical Journal. C, Particles and Fields

Additional Journal Information:: Journal Name: European Physical Journal. C, Particles and Fields Journal Volume: 78 Journal Issue: 1; Journal ID: ISSN 1434-6044

Publisher:: Springer

Country of Publication:: Germany

Language:: English

Subject:: 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; pattern recognition; event reconstruction; neutrino detectors

Citation Formats


                    Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carls, B., Castillo Fernandez, R., Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Escudero Sanchez, L., Esquivel, J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, J., Hill, C., Ho, J., Horton-Smith, G., Hourlier, A., Huang, E. -C., James, C., Jan de Vries, J., Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Martinez Caicedo, D. A., Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Rudolf von Rohr, C., Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., St. John, J., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., and Zhang, C. The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector.  Germany: N. p., 2018. 
Web.  doi:10.1140/epjc/s10052-017-5481-6.

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                    Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carls, B., Castillo Fernandez, R., Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Escudero Sanchez, L., Esquivel, J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, J., Hill, C., Ho, J., Horton-Smith, G., Hourlier, A., Huang, E. -C., James, C., Jan de Vries, J., Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Martinez Caicedo, D. A., Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Rudolf von Rohr, C., Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., St. John, J., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., & Zhang, C. The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector.  Germany.  https://doi.org/10.1140/epjc/s10052-017-5481-6

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                    Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carls, B., Castillo Fernandez, R., Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Escudero Sanchez, L., Esquivel, J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, J., Hill, C., Ho, J., Horton-Smith, G., Hourlier, A., Huang, E. -C., James, C., Jan de Vries, J., Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Martinez Caicedo, D. A., Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Rudolf von Rohr, C., Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., St. John, J., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., and Zhang, C. Mon .  
"The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector".  Germany.  https://doi.org/10.1140/epjc/s10052-017-5481-6.

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@article{osti_1418407,

  title        = {The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector},

  author       = {Acciarri, R. and Adams, C. and An, R. and Anthony, J. and Asaadi, J. and Auger, M. and Bagby, L. and Balasubramanian, S. and Baller, B. and Barnes, C. and Barr, G. and Bass, M. and Bay, F. and Bishai, M. and Blake, A. and Bolton, T. and Camilleri, L. and Caratelli, D. and Carls, B. and Castillo Fernandez, R. and Cavanna, F. and Chen, H. and Church, E. and Cianci, D. and Cohen, E. and Collin, G. H. and Conrad, J. M. and Convery, M. and Crespo-Anadón, J. I. and Del Tutto, M. and Devitt, D. and Dytman, S. and Eberly, B. and Ereditato, A. and Escudero Sanchez, L. and Esquivel, J. and Fadeeva, A. A. and Fleming, B. T. and Foreman, W. and Furmanski, A. P. and Garcia-Gamez, D. and Garvey, G. T. and Genty, V. and Goeldi, D. and Gollapinni, S. and Graf, N. and Gramellini, E. and Greenlee, H. and Grosso, R. and Guenette, R. and Hackenburg, A. and Hamilton, P. and Hen, O. and Hewes, J. and Hill, C. and Ho, J. and Horton-Smith, G. and Hourlier, A. and Huang, E. -C. and James, C. and Jan de Vries, J. and Jen, C. -M. and Jiang, L. and Johnson, R. A. and Joshi, J. and Jostlein, H. and Kaleko, D. and Karagiorgi, G. and Ketchum, W. and Kirby, B. and Kirby, M. and Kobilarcik, T. and Kreslo, I. and Laube, A. and Li, Y. and Lister, A. and Littlejohn, B. R. and Lockwitz, S. and Lorca, D. and Louis, W. C. and Luethi, M. and Lundberg, B. and Luo, X. and Marchionni, A. and Mariani, C. and Marshall, J. and Martinez Caicedo, D. A. and Meddage, V. and Miceli, T. and Mills, G. B. and Moon, J. and Mooney, M. and Moore, C. D. and Mousseau, J. and Murrells, R. and Naples, D. and Nienaber, P. and Nowak, J. and Palamara, O. and Paolone, V. and Papavassiliou, V. and Pate, S. F. and Pavlovic, Z. and Piasetzky, E. and Porzio, D. and Pulliam, G. and Qian, X. and Raaf, J. L. and Rafique, A. and Rochester, L. and Rudolf von Rohr, C. and Russell, B. and Schmitz, D. W. and Schukraft, A. and Seligman, W. and Shaevitz, M. H. 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 St. John, J. and Strauss, T. and Szelc, A. M. and Tagg, N. and Terao, K. and Thomson, M. and Toups, M. and Tsai, Y. -T. and Tufanli, S. and Usher, T. and Van De Pontseele, W. and Van de Water, R. G. and Viren, B. and Weber, M. and Wickremasinghe, D. A. and Wolbers, S. and Wongjirad, T. and Woodruff, K. and Yang, T. and Yates, L. and Zeller, G. P. and Zennamo, J. and Zhang, C.},

  abstractNote = {The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.},

  doi          = {10.1140/epjc/s10052-017-5481-6},

  journal      = {European Physical Journal. C, Particles and Fields},

  number       = 1,

  volume       = 78,

  place        = {Germany},

  year         = {Mon Jan 29 00:00:00 EST 2018},

  month        = {Mon Jan 29 00:00:00 EST 2018}

}

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Works referenced in this record:

The GENIE neutrino Monte Carlo generator
journal, February 2010

Andreopoulos, C.; Bell, A.; Bhattacharya, D.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 614, Issue 1
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Precise 3D Track Reconstruction Algorithm for the ICARUS T600 Liquid Argon Time Projection Chamber Detector
journal, January 2013

Antonello, M.; Baibussinov, B.; Benetti, P.
Advances in High Energy Physics, Vol. 2013
DOI: 10.1155/2013/260820

The Pandora software development kit for pattern recognition
journal, September 2015

Marshall, J. S.; Thomson, M. A.
The European Physical Journal C, Vol. 75, Issue 9
DOI: 10.1140/epjc/s10052-015-3659-3

Performance of particle flow calorimetry at CLIC
journal, February 2013

Marshall, J. S.; Münnich, A.; Thomson, M. A.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 700
DOI: 10.1016/j.nima.2012.10.038

Particle flow calorimetry and the PandoraPFA algorithm
journal, November 2009

Thomson, M. A.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 611, Issue 1
DOI: 10.1016/j.nima.2009.09.009

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Title: The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

Abstract

Citation Formats

The GENIE neutrino Monte Carlo generator journal, February 2010

Precise 3D Track Reconstruction Algorithm for the ICARUS T600 Liquid Argon Time Projection Chamber Detector journal, January 2013

The Pandora software development kit for pattern recognition journal, September 2015

Performance of particle flow calorimetry at CLIC journal, February 2013

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The GENIE neutrino Monte Carlo generator
journal, February 2010

Precise 3D Track Reconstruction Algorithm for the ICARUS T600 Liquid Argon Time Projection Chamber Detector
journal, January 2013

The Pandora software development kit for pattern recognition
journal, September 2015

Performance of particle flow calorimetry at CLIC
journal, February 2013

Particle flow calorimetry and the PandoraPFA algorithm
journal, November 2009