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

被引：78

作者：

Acciarri, R. ^{[7
]}

Adams, C. ^{[8
,29
]}

An, R. ^{[9
]}

Anthony, J. ^{[3
]}

Asaadi, J. ^{[26
]}

Auger, M. ^{[1
]}

Bagby, L. ^{[7
]}

Balasubramanian, S. ^{[29
]}

Baller, B. ^{[7
]}

Barnes, C. ^{[15
]}

Barr, G. ^{[18
]}

Bass, M. ^{[18
]}

Bay, F. ^{[27
]}

Bishai, M. ^{[2
]}

Blake, A. ^{[11
]}

Bolton, T. ^{[10
]}

Camilleri, L. ^{[6
]}

Caratelli, D. ^{[6
]}

Carls, B. ^{[7
]}

Fernandez, R. Castillo ^{[7
]}

Cavanna, F. ^{[7
]}

Chen, H. ^{[2
]}

Church, E. ^{[19
]}

Cianci, D. ^{[6
,13
]}

Cohen, E. ^{[24
]}

Collin, G. H. ^{[14
]}

Conrad, J. M. ^{[14
]}

Convery, M. ^{[22
]}

Crespo-Anadon, J. I. ^{[6
]}

Del Tutto, M. ^{[18
]}

Devitt, D. ^{[11
]}

Dytman, S. ^{[20
]}

Eberly, B. ^{[22
]}

Ereditato, A. ^{[1
]}

Sanchez, L. Escudero ^{[3
]}

Esquivel, J. ^{[23
]}

Fadeeva, A. A. ^{[6
]}

Fleming, B. T. ^{[29
]}

Foreman, W. ^{[4
]}

Furmanski, A. P. ^{[13
]}

Garcia-Gamez, D. ^{[13
]}

Garvey, G. T. ^{[12
]}

Genty, V. ^{[6
]}

Goeldi, D. ^{[1
]}

Gollapinni, S. ^{[10
,25
]}

Graf, N. ^{[20
]}

Gramellini, E. ^{[29
]}

Greenlee, H. ^{[7
]}

Grosso, R. ^{[5
]}

Guenette, R. ^{[8
,18
]}

机构：

[1] Univ Bern, CH-3012 Bern, Switzerland

[2] BNL, Upton, NY 11973 USA

[3] Univ Cambridge, Cambridge CB3 0HE, England

[4] Univ Chicago, Chicago, IL 60637 USA

[5] Univ Cincinnati, Cincinnati, OH 45221 USA

[6] Columbia Univ, New York, NY 10027 USA

[7] FNAL, Batavia, IL 60510 USA

[8] Harvard Univ, Cambridge, MA 02138 USA

[9] IIT, Chicago, IL 60616 USA

[10] Kansas State Univ, Manhattan, KS 66506 USA

[11] Univ Lancaster, Lancaster LA1 4YW, England

[12] Los Alamos Natl Lab LANL, Los Alamos, NM 87545 USA

[13] Univ Manchester, Manchester M13 9PL, Lancs, England

[14] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA

[15] Univ Michigan, Ann Arbor, MI 48109 USA

[16] NMSU, Las Cruces, NM 88003 USA

[17] Otterbein Univ, Westerville, OH 43081 USA

[18] Univ Oxford, Oxford OX1 3RH, England

[19] PNNL, Richland, WA 99352 USA

[20] Univ Pittsburgh, Pittsburgh, PA 15260 USA

[21] St Marys Univ Minnesota, Winona, MN 55987 USA

[22] SLAC Natl Accelerator Lab, Menlo Pk, CA 94025 USA

[23] Syracuse Univ, Syracuse, NY 13244 USA

[24] Tel Aviv Univ, IL-69978 Tel Aviv, Israel

[25] Univ Tennessee, Knoxville, TN 37996 USA

[26] Univ Texas Arlington, Arlington, TX 76019 USA

[27] TUBITAK Space Technol Res Inst, METU Campus, TR-06800 Ankara, Turkey

[28] Virginia Tech, Ctr Neutrino Phys, Blacksburg, VA 24061 USA

[29] Yale Univ, New Haven, CT 06520 USA

来源：

EUROPEAN PHYSICAL JOURNAL C | 2018年 / 78卷 / 01期

基金：

瑞士国家科学基金会; 美国国家科学基金会; 美国能源部; 英国科学技术设施理事会;

关键词：

Atomic physics - Automation - Charged particles - Cosmic rays - Liquefied gases - Neutrons - Particle detectors - Pattern recognition - Software design - Topology;

D O I：

10.1140/epjc/s10052-017-5481-6

中图分类号：

O412 [相对论、场论]; O572.2 [粒子物理学];

学科分类号：

摘要：

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.

引用

页数：25

共 15 条

[1]

Abratenko P., ARXIV170306187

[2] Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC [J].

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. ;

Bullard, B. ;

Camilleri, L. ;

Caratelli, D. ;

Carls, B. ;

Fernandez, R. Castillo ;

Cavanna, F. ;

Chen, H. ;

Church, E. ;

Cianci, D. ;

Cohen, E. ;

Collin, G. H. ;

Conrad, J. M. ;

Convery, M. ;

Crespo-Anadon, J. I. ;

De Geronimo, G. ;

Del Tutto, M. ;

Devitt, D. ;

Dytman, S. ;

Eberly, B. ;

Ereditato, A. ;

Sanchez, L. Escudero ;

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. .

JOURNAL OF INSTRUMENTATION, 2017, 12

[3] Design and construction of the MicroBooNE detector [J].

Acciarri, R. ;

Adams, C. ;

An, R. ;

Aparicio, A. ;

Aponte, S. ;

Asaadi, J. ;

Auger, M. ;

Ayoub, N. ;

Bagby, L. ;

Baller, B. ;

Barger, R. ;

Barr, G. ;

Bass, M. ;

Bay, F. ;

Biery, K. ;

Bishai, M. ;

Blake, A. ;

Bocean, V. ;

Boehnlein, D. ;

Bogert, V. D. ;

Bolton, T. ;

Bugel, L. ;

Callahan, C. ;

Camilleri, L. ;

Caratelli, D. ;

Carls, B. ;

Castillo Fernandez, R. ;

Cavanna, F. ;

Chappa, S. ;

Chen, H. ;

Chen, K. ;

Chi, C-Y ;

Chiu, C. S. ;

Church, E. ;

Cianci, D. ;

Collin, G. H. ;

Conrad, J. M. ;

Convery, M. ;

Cornele, J. ;

Cowan, P. ;

Crespo-Anadon, J. I. ;

Crutcher, G. ;

Darve, C. ;

Davis, R. ;

Del Tutto, M. ;

Devitt, D. ;

Duffin, S. ;

Dytman, S. ;

Eberly, B. ;

Ereditato, A. .

JOURNAL OF INSTRUMENTATION, 2017, 12

[4]

Acciarri R., ARXIV170709903

[5] Improved Search for (ν)over-barμ → (ν)over-bare Oscillations in the MiniBooNE Experiment [J].

Aguilar-Arevalo, A. A. ;

Brown, B. C. ;

Bugel, L. ;

Cheng, G. ;

Church, E. D. ;

Conrad, J. M. ;

Dharmapalan, R. ;

Djurcic, Z. ;

Finley, D. A. ;

Ford, R. ;

Garcia, F. G. ;

Garvey, G. T. ;

Grange, J. ;

Huelsnitz, W. ;

Ignarra, C. ;

Imlay, R. ;

Johnson, R. A. ;

Karagiorgi, G. ;

Katori, T. ;

Kobilarcik, T. ;

Louis, W. C. ;

Mariani, C. ;

Marsh, W. ;

Mills, G. B. ;

Mirabal, J. ;

Moore, C. D. ;

Mousseau, J. ;

Nienaber, P. ;

Osmanov, B. ;

Pavlovic, Z. ;

Perevalov, D. ;

Polly, C. C. ;

Ray, H. ;

Roe, B. P. ;

Russell, A. D. ;

Shaevitz, M. H. ;

Spitz, J. ;

Stancu, I. ;

Tayloe, R. ;

Van de Water, R. G. ;

White, D. H. ;

Wickremasinghe, D. A. ;

Zeller, G. P. ;

Zimmerman, E. D. .

PHYSICAL REVIEW LETTERS, 2013, 110 (16)

[6] Neutrino flux prediction at MiniBooNE [J].

Aguilar-Arevalo, A. A. ;

Anderson, C. E. ;

Bazarko, A. O. ;

Brice, S. J. ;

Brown, B. C. ;

Bugel, L. ;

Cao, J. ;

Coney, L. ;

Conrad, J. M. ;

Cox, D. C. ;

Curioni, A. ;

Djurcic, Z. ;

Finley, D. A. ;

Fleming, B. T. ;

Ford, R. ;

Garcia, F. G. ;

Garvey, G. T. ;

Green, C. ;

Green, J. A. ;

Hart, T. L. ;

Hawker, E. ;

Imlay, R. ;

Johnson, R. A. ;

Karagiorgi, G. ;

Kasper, P. ;

Katori, T. ;

Kobilarcik, T. ;

Kourbanis, I. ;

Koutsoliotas, S. ;

Laird, E. M. ;

Linden, S. K. ;

Link, J. M. ;

Liu, Y. ;

Louis, W. C. ;

Mahn, K. B. M. ;

Marsh, W. ;

Martin, P. S. ;

McGregor, G. ;

Metcalf, W. ;

Meyers, P. D. ;

Mills, F. ;

Mills, G. B. ;

Monroe, J. ;

Moore, C. D. ;

Nelson, R. H. ;

Nguyen, V. T. ;

Nienaber, P. ;

Nowak, J. A. ;

Ouedraogo, S. .

PHYSICAL REVIEW D, 2009, 79 (07)

[7] The GENIE neutrino Monte Carlo generator [J].

Andreopoulos, C. ;

Bell, A. ;

Bhattacharya, D. ;

Cavanna, F. ;

Dobson, J. ;

Dytman, S. ;

Gallagher, H. ;

Guzowski, P. ;

Hatcher, R. ;

Kehayias, P. ;

Meregaglia, A. ;

Naples, D. ;

Pearce, G. ;

Rubbia, A. ;

Whalley, M. ;

Yang, T. .

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2010, 614 (01) :87-104

[8] Precise 3D Track Reconstruction Algorithm for the ICARUS T600 Liquid Argon Time Projection Chamber Detector [J].

Antonello, M. ;

Baibussinov, B. ;

Benetti, P. ;

Calligarich, E. ;

Canci, N. ;

Centro, S. ;

Cesana, A. ;

Cieslik, K. ;

Cline, D. B. ;

Cocco, A. G. ;

Dabrowska, A. ;

Dequal, D. ;

Dermenev, A. ;

Dolfini, R. ;

Farnese, C. ;

Fava, A. ;

Ferrari, A. ;

Fiorillo, G. ;

Gibin, D. ;

Gninenko, S. ;

Guglielmi, A. ;

Haranczyk, M. ;

Holeczek, J. ;

Ivashkin, A. ;

Kisiel, J. ;

Kochanek, I. ;

Lagoda, J. ;

Mania, S. ;

Menegolli, A. ;

Meng, G. ;

Montanari, C. ;

Otwinowski, S. ;

Piazzoli, A. ;

Picchi, P. ;

Pietropaolo, F. ;

Plonski, P. ;

Rappoldi, A. ;

Raselli, G. L. ;

Rossella, M. ;

Rubbia, C. ;

Sala, P. ;

Scaramelli, A. ;

Segreto, E. ;

Sergiampietri, F. ;

Stefan, D. ;

Stepaniak, J. ;

Sulej, R. ;

Szarska, M. ;

Terrani, M. ;

Varanini, F. .

ADVANCES IN HIGH ENERGY PHYSICS, 2013, 2013

[9]

Heck D., FZKA6019

[10] The Pandora software development kit for pattern recognition [J].

Marshall, J. S. ;

Thomson, M. A. .

EUROPEAN PHYSICAL JOURNAL C, 2015, 75 (09)

← 1 2 →