Comparison of ν                         μ                         - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration

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

doi:10.1140/epjc/s10052-019-6742-3

Comparison of ν _μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration

C. Adams
, R. An
, J. Anthony
, J. Asaadi
, M. Auger
, S. Balasubramanian
, B. Baller
, C. Barnes
, G. Barr
, M. Bass
, F. Bay
, A. Bhat
, K. Bhattacharya
, M. Bishai
, A. Blake
, T. Bolton
, L. Camilleri
, D. Caratelli
, R. Castillo Fernandez
, F. Cavanna

G. Cerati, H. Chen, Y. Chen, E. Church, D. Cianci, E. Cohen, G. H. Collin, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadón, M. Del Tutto, D. Devitt, A. Diaz, S. Dytman, B. Eberly, A. Ereditato, L. Escudero Sanchez, J. Esquivel, J. J. Evans, A. A. Fadeeva, B. T. Fleming, W. Foreman, A. P. Furmanski, D. Garcia-Gamez, G. T. Garvey, V. Genty, D. Goeldi, S. Gollapinni, E. Gramellini, H. Greenlee, R. Grosso, R. Guenette, P. Guzowski, A. Hackenburg, P. Hamilton, O. Hen, J. Hewes, C. Hill, J. Ho, G. A. Horton-Smith, A. Hourlier, E. C. Huang, C. James, J. Jan de Vries, L. Jiang, R. A. Johnson, J. Joshi, H. Jostlein, Y. J. Jwa, D. Kaleko, G. Karagiorgi, W. Ketchum, B. Kirby, M. Kirby, T. Kobilarcik, I. Kreslo, Y. Li, A. Lister, B. R. Littlejohn, S. Lockwitz, D. Lorca, W. C. Louis, M. Luethi, B. Lundberg, X. Luo, A. Marchionni, S. Marcocci, C. Mariani, J. Marshall, D. A. Martinez Caicedo, A. Mastbaum, V. Meddage, T. Mettler, T. Miceli, G. B. Mills, A. Mogan, J. Moon, M. Mooney, C. D. Moore, J. Mousseau, M. Murphy, R. Murrells, D. Naples, P. Nienaber, J. Nowak, O. Palamara, V. Pandey, V. Paolone, A. Papadopoulou, V. Papavassiliou, S. F. Pate, Z. Pavlovic, E. Piasetzky, D. Porzio, G. Pulliam, X. Qian, J. L. Raaf, A. Rafique^*, L. Rochester, M. Ross-Lonergan, C. Rudolf von Rohr, B. Russell, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, J. Sinclair, A. Smith, E. L. Snider, M. Soderberg, S. Söldner-Rembold, S. R. Soleti, P. Spentzouris, J. Spitz, J. St John, T. Strauss, K. Sutton, S. Sword-Fehlberg, A. M. Szelc, N. Tagg, W. Tang, K. Terao, M. Thomson, M. Toups, Y. T. Tsai, S. Tufanli, T. Usher, W. Van De Pontseele, R. G. Van de Water, B. Viren, M. Weber, H. Wei, D. A. Wickremasinghe, K. Wierman, Z. Williams, S. Wolbers, T. Wongjirad, K. Woodruff, T. Yang, G. Yarbrough, L. E. Yates, G. P. Zeller, J. Zennamo, C. Zhang

^*Corresponding author for this work

School of Physics and Astronomy

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Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800MeV, using an exposure corresponding to 5.0 × 10 ¹⁹ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.

Original language	English
Article number	248
Journal	European Physical Journal C
Volume	79
Issue number	3
DOIs	https://doi.org/10.1140/epjc/s10052-019-6742-3
State	Published - 1 Mar 2019

Funding

Funders	Funder number
High Energy Physics and Nuclear Physics
U.S. Department of Energy
Science and Technology Facilities Council of the United Kingdom
Office of Science
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Royal Society
Fundação para a Ciência e a Tecnologia	Incentivo/SAU/LA0001/2013
???publication-publication-funding-organisation-not-added???	ST/R000271/1, ST/N000447/1, ST/R00014X/1
???publication-publication-funding-organisation-not-added???	76019
Fermi Research Alliance, LLC	DE-AC02-07CH11359
National Science Foundation	1801996

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10.1140/epjc/s10052-019-6742-3

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Adams, C., An, R., Anthony, J., Asaadi, J., 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., Castillo Fernandez, R., ... Zhang, C. (2019). Comparison of ν _μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration. European Physical Journal C, 79(3), Article 248. https://doi.org/10.1140/epjc/s10052-019-6742-3

@article{495e38017edb4f06ba7963ad0f2bf6be,

title = "Comparison of ν μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration",

abstract = " We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800MeV, using an exposure corresponding to 5.0 × 10 19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.",

author = "C. Adams and R. An and J. Anthony and J. Asaadi and M. Auger and S. Balasubramanian and B. Baller and C. Barnes and G. Barr and M. Bass and F. Bay and A. Bhat and K. Bhattacharya and M. Bishai and A. Blake and T. Bolton and L. Camilleri and D. Caratelli and \{Castillo Fernandez\}, R. and F. Cavanna and G. Cerati and H. Chen and Y. Chen and E. Church and D. Cianci and E. Cohen and Collin, \{G. H.\} and Conrad, \{J. M.\} and M. Convery and L. Cooper-Troendle and Crespo-Anad{\'o}n, \{J. I.\} and \{Del Tutto\}, M. and D. Devitt and A. Diaz and S. Dytman and B. Eberly and A. Ereditato and \{Escudero Sanchez\}, L. and J. Esquivel and Evans, \{J. J.\} and Fadeeva, \{A. A.\} and Fleming, \{B. T.\} and W. Foreman and Furmanski, \{A. P.\} and D. Garcia-Gamez and Garvey, \{G. T.\} and V. Genty and D. Goeldi and S. Gollapinni and E. Gramellini and H. Greenlee and R. Grosso and R. Guenette and P. Guzowski and A. Hackenburg and P. Hamilton and O. Hen and J. Hewes and C. Hill and J. Ho and Horton-Smith, \{G. A.\} and A. Hourlier and Huang, \{E. C.\} and C. James and \{de Vries\}, \{J. Jan\} and L. Jiang and Johnson, \{R. A.\} and J. Joshi and H. Jostlein and Jwa, \{Y. J.\} and D. Kaleko and G. Karagiorgi and W. Ketchum and B. Kirby and M. Kirby and T. Kobilarcik and I. Kreslo and Y. Li and A. Lister and Littlejohn, \{B. R.\} and S. Lockwitz and D. Lorca and Louis, \{W. C.\} and M. Luethi and B. Lundberg and X. Luo and A. Marchionni and S. Marcocci and C. Mariani and J. Marshall and \{Martinez Caicedo\}, \{D. A.\} and A. Mastbaum and V. Meddage and T. Mettler and T. Miceli and Mills, \{G. B.\} and A. Mogan and J. Moon and M. Mooney and Moore, \{C. D.\} and J. Mousseau and M. Murphy and R. Murrells and D. Naples and P. Nienaber and J. Nowak and O. Palamara and V. Pandey and V. Paolone and A. Papadopoulou and V. Papavassiliou and Pate, \{S. F.\} and Z. Pavlovic and E. Piasetzky and D. Porzio and G. Pulliam and X. Qian and Raaf, \{J. L.\} and A. Rafique and L. Rochester and M. Ross-Lonergan and \{von Rohr\}, \{C. Rudolf\} and B. Russell and Schmitz, \{D. W.\} and A. Schukraft and W. Seligman and Shaevitz, \{M. H.\} and J. Sinclair and A. Smith and Snider, \{E. L.\} and M. Soderberg and S. S{\"o}ldner-Rembold and Soleti, \{S. R.\} and P. Spentzouris and J. Spitz and John, \{J. St\} and T. Strauss and K. Sutton and S. Sword-Fehlberg and Szelc, \{A. M.\} and N. Tagg and W. Tang and K. Terao and M. Thomson and M. Toups and Tsai, \{Y. T.\} and S. Tufanli and T. Usher and \{Van De Pontseele\}, W. and \{Van de Water\}, \{R. G.\} and B. Viren and M. Weber and H. Wei and Wickremasinghe, \{D. A.\} and K. Wierman and Z. Williams and S. Wolbers and T. Wongjirad and K. Woodruff and T. Yang and G. Yarbrough and Yates, \{L. E.\} and Zeller, \{G. P.\} and J. Zennamo and C. Zhang",

note = "Publisher Copyright: {\textcopyright} 2019, The Author(s).",

year = "2019",

month = mar,

day = "1",

doi = "10.1140/epjc/s10052-019-6742-3",

language = "אנגלית",

volume = "79",

journal = "European Physical Journal C",

issn = "1434-6044",

publisher = "Springer Nature",

number = "3",

}

Adams, C, An, R, Anthony, J, Asaadi, J, 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, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, de Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murphy, M, Murrells, R, Naples, D, Nienaber, P, Nowak, J, Palamara, O, Pandey, V, Paolone, V, Papadopoulou, A, Papavassiliou, V, Pate, SF, Pavlovic, Z, Piasetzky, E, Porzio, D, Pulliam, G, Qian, X, Raaf, JL, Rafique, A, Rochester, L, Ross-Lonergan, M, von Rohr, CR, Russell, B, Schmitz, DW, Schukraft, A, Seligman, W, Shaevitz, MH, Sinclair, J, Smith, A, Snider, EL, Soderberg, M, Söldner-Rembold, S, Soleti, SR, Spentzouris, P, Spitz, J, John, JS, Strauss, T, Sutton, K, Sword-Fehlberg, S, Szelc, AM, Tagg, N, Tang, W, Terao, K, Thomson, M, Toups, M, Tsai, YT, Tufanli, S, Usher, T, Van De Pontseele, W, Van de Water, RG, Viren, B, Weber, M, Wei, H, Wickremasinghe, DA, Wierman, K, Williams, Z, Wolbers, S, Wongjirad, T, Woodruff, K, Yang, T, Yarbrough, G, Yates, LE, Zeller, GP, Zennamo, J & Zhang, C 2019, 'Comparison of ν _μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration', European Physical Journal C, vol. 79, no. 3, 248. https://doi.org/10.1140/epjc/s10052-019-6742-3

TY - JOUR

T1 - Comparison of ν μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

T2 - MicroBooNE Collaboration

AU - Adams, C.

AU - An, R.

AU - Anthony, J.

AU - Asaadi, J.

AU - Auger, M.

AU - Balasubramanian, S.

AU - Baller, B.

AU - Barnes, C.

AU - Barr, G.

AU - Bass, M.

AU - Bay, F.

AU - Bhat, A.

AU - Bhattacharya, K.

AU - Bishai, M.

AU - Blake, A.

AU - Bolton, T.

AU - Camilleri, L.

AU - Caratelli, D.

AU - Castillo Fernandez, R.

AU - Cavanna, F.

AU - Cerati, G.

AU - Chen, H.

AU - Chen, Y.

AU - Church, E.

AU - Cianci, D.

AU - Cohen, E.

AU - Collin, G. H.

AU - Conrad, J. M.

AU - Convery, M.

AU - Cooper-Troendle, L.

AU - Crespo-Anadón, J. I.

AU - Del Tutto, M.

AU - Devitt, D.

AU - Diaz, A.

AU - Dytman, S.

AU - Eberly, B.

AU - Ereditato, A.

AU - Escudero Sanchez, L.

AU - Esquivel, J.

AU - Evans, J. J.

AU - Fadeeva, A. A.

AU - Fleming, B. T.

AU - Foreman, W.

AU - Furmanski, A. P.

AU - Garcia-Gamez, D.

AU - Garvey, G. T.

AU - Genty, V.

AU - Goeldi, D.

AU - Gollapinni, S.

AU - Gramellini, E.

AU - Greenlee, H.

AU - Grosso, R.

AU - Guenette, R.

AU - Guzowski, P.

AU - Hackenburg, A.

AU - Hamilton, P.

AU - Hen, O.

AU - Hewes, J.

AU - Hill, C.

AU - Ho, J.

AU - Horton-Smith, G. A.

AU - Hourlier, A.

AU - Huang, E. C.

AU - James, C.

AU - de Vries, J. Jan

AU - Jiang, L.

AU - Johnson, R. A.

AU - Joshi, J.

AU - Jostlein, H.

AU - Jwa, Y. J.

AU - Kaleko, D.

AU - Karagiorgi, G.

AU - Ketchum, W.

AU - Kirby, B.

AU - Kirby, M.

AU - Kobilarcik, T.

AU - Kreslo, I.

AU - Li, Y.

AU - Lister, A.

AU - Littlejohn, B. R.

AU - Lockwitz, S.

AU - Lorca, D.

AU - Louis, W. C.

AU - Luethi, M.

AU - Lundberg, B.

AU - Luo, X.

AU - Marchionni, A.

AU - Marcocci, S.

AU - Mariani, C.

AU - Marshall, J.

AU - Martinez Caicedo, D. A.

AU - Mastbaum, A.

AU - Meddage, V.

AU - Mettler, T.

AU - Miceli, T.

AU - Mills, G. B.

AU - Mogan, A.

AU - Moon, J.

AU - Mooney, M.

AU - Moore, C. D.

AU - Mousseau, J.

AU - Murphy, M.

AU - Murrells, R.

AU - Naples, D.

AU - Nienaber, P.

AU - Nowak, J.

AU - Palamara, O.

AU - Pandey, V.

AU - Paolone, V.

AU - Papadopoulou, A.

AU - Papavassiliou, V.

AU - Pate, S. F.

AU - Pavlovic, Z.

AU - Piasetzky, E.

AU - Porzio, D.

AU - Pulliam, G.

AU - Qian, X.

AU - Raaf, J. L.

AU - Rafique, A.

AU - Rochester, L.

AU - Ross-Lonergan, M.

AU - von Rohr, C. Rudolf

AU - Russell, B.

AU - Schmitz, D. W.

AU - Schukraft, A.

AU - Seligman, W.

AU - Shaevitz, M. H.

AU - Sinclair, J.

AU - Smith, A.

AU - Snider, E. L.

AU - Soderberg, M.

AU - Söldner-Rembold, S.

AU - Soleti, S. R.

AU - Spentzouris, P.

AU - Spitz, J.

AU - John, J. St

AU - Strauss, T.

AU - Sutton, K.

AU - Sword-Fehlberg, S.

AU - Szelc, A. M.

AU - Tagg, N.

AU - Tang, W.

AU - Terao, K.

AU - Thomson, M.

AU - Toups, M.

AU - Tsai, Y. T.

AU - Tufanli, S.

AU - Usher, T.

AU - Van De Pontseele, W.

AU - Van de Water, R. G.

AU - Viren, B.

AU - Weber, M.

AU - Wei, H.

AU - Wickremasinghe, D. A.

AU - Wierman, K.

AU - Williams, Z.

AU - Wolbers, S.

AU - Wongjirad, T.

AU - Woodruff, K.

AU - Yang, T.

AU - Yarbrough, G.

AU - Yates, L. E.

AU - Zeller, G. P.

AU - Zennamo, J.

AU - Zhang, C.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800MeV, using an exposure corresponding to 5.0 × 10 19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.

AB - We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800MeV, using an exposure corresponding to 5.0 × 10 19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.

UR - https://www.scopus.com/pages/publications/85063132887

U2 - 10.1140/epjc/s10052-019-6742-3

DO - 10.1140/epjc/s10052-019-6742-3

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:85063132887

SN - 1434-6044

VL - 79

JO - European Physical Journal C

JF - European Physical Journal C

IS - 3

M1 - 248

ER -

Comparison of ν _μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration

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