Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data
Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating...
Ausführliche Beschreibung
Autor*in: |
Abratenko, P. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Anmerkung: |
© The Author(s) 2022 |
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Übergeordnetes Werk: |
Enthalten in: The European physical journal - Berlin : Springer, 1998, 82(2022), 5 vom: 17. Mai |
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Übergeordnetes Werk: |
volume:82 ; year:2022 ; number:5 ; day:17 ; month:05 |
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DOI / URN: |
10.1140/epjc/s10052-022-10270-8 |
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Katalog-ID: |
SPR047022175 |
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100 | 1 | |a Abratenko, P. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data |
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520 | |a Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. | ||
700 | 1 | |a An, R. |4 aut | |
700 | 1 | |a Anthony, J. |4 aut | |
700 | 1 | |a Arellano, L. |4 aut | |
700 | 1 | |a Asaadi, J. |4 aut | |
700 | 1 | |a Ashkenazi, A. |4 aut | |
700 | 1 | |a Balasubramanian, S. |4 aut | |
700 | 1 | |a Baller, B. |4 aut | |
700 | 1 | |a Barnes, C. |4 aut | |
700 | 1 | |a Barr, G. |4 aut | |
700 | 1 | |a Basque, V. |4 aut | |
700 | 1 | |a Bathe-Peters, L. |4 aut | |
700 | 1 | |a Benevides Rodrigues, O. |4 aut | |
700 | 1 | |a Berkman, S. |4 aut | |
700 | 1 | |a Bhanderi, A. |4 aut | |
700 | 1 | |a Bhat, A. |4 aut | |
700 | 1 | |a Bishai, M. |4 aut | |
700 | 1 | |a Blake, A. |4 aut | |
700 | 1 | |a Bolton, T. |4 aut | |
700 | 1 | |a Book, J. Y. |4 aut | |
700 | 1 | |a Camilleri, L. |4 aut | |
700 | 1 | |a Caratelli, D. |4 aut | |
700 | 1 | |a Caro Terrazas, I. |4 aut | |
700 | 1 | |a Cavanna, F. |4 aut | |
700 | 1 | |a Cerati, G. |4 aut | |
700 | 1 | |a Chen, Y. |4 aut | |
700 | 1 | |a Cianci, D. |4 aut | |
700 | 1 | |a Conrad, J. M. |4 aut | |
700 | 1 | |a Convery, M. |4 aut | |
700 | 1 | |a Cooper-Troendle, L. |4 aut | |
700 | 1 | |a Crespo-Anadón, J. I. |4 aut | |
700 | 1 | |a Del Tutto, M. |4 aut | |
700 | 1 | |a Dennis, S. R. |4 aut | |
700 | 1 | |a Detje, P. |4 aut | |
700 | 1 | |a Devitt, A. |4 aut | |
700 | 1 | |a Diurba, R. |4 aut | |
700 | 1 | |a Dorrill, R. |4 aut | |
700 | 1 | |a Duffy, K. |4 aut | |
700 | 1 | |a Dytman, S. |4 aut | |
700 | 1 | |a Eberly, B. |4 aut | |
700 | 1 | |a Ereditato, A. |4 aut | |
700 | 1 | |a Evans, J. J. |4 aut | |
700 | 1 | |a Fine, R. |4 aut | |
700 | 1 | |a Fiorentini Aguirre, G. A. |4 aut | |
700 | 1 | |a Fitzpatrick, R. S. |4 aut | |
700 | 1 | |a Fleming, B. T. |4 aut | |
700 | 1 | |a Foppiani, N. |4 aut | |
700 | 1 | |a Franco, D. |4 aut | |
700 | 1 | |a Furmanski, A. P. |4 aut | |
700 | 1 | |a Garcia-Gamez, D. |4 aut | |
700 | 1 | |a Gardiner, S. |4 aut | |
700 | 1 | |a Ge, G. |4 aut | |
700 | 1 | |a Gollapinni, S. |4 aut | |
700 | 1 | |a Goodwin, O. |4 aut | |
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700 | 1 | |a Guzowski, P. |4 aut | |
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700 | 1 | |a Hilgenberg, C. |4 aut | |
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700 | 1 | |a Itay, R. |4 aut | |
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10.1140/epjc/s10052-022-10270-8 doi (DE-627)SPR047022175 (SPR)s10052-022-10270-8-e DE-627 ger DE-627 rakwb eng Abratenko, P. verfasserin aut Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. An, R. aut Anthony, J. aut Arellano, L. aut Asaadi, J. aut Ashkenazi, A. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Basque, V. aut Bathe-Peters, L. aut Benevides Rodrigues, O. aut Berkman, S. aut Bhanderi, A. aut Bhat, A. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Book, J. Y. aut Camilleri, L. aut Caratelli, D. aut Caro Terrazas, I. aut Cavanna, F. aut Cerati, G. aut Chen, Y. aut Cianci, D. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Dennis, S. R. aut Detje, P. aut Devitt, A. aut Diurba, R. aut Dorrill, R. aut Duffy, K. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Evans, J. J. aut Fine, R. aut Fiorentini Aguirre, G. A. aut Fitzpatrick, R. S. aut Fleming, B. T. aut Foppiani, N. aut Franco, D. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Gardiner, S. aut Ge, G. aut Gollapinni, S. aut Goodwin, O. aut Gramellini, E. aut Green, P. aut Greenlee, H. aut Gu, W. aut Guenette, R. aut Guzowski, P. aut Hagaman, L. aut Hen, O. aut Hilgenberg, C. aut Horton-Smith, G. A. aut Hourlier, A. aut Itay, R. aut James, C. aut Ji, X. aut Jiang, L. aut Jo, J. H. aut Johnson, R. A. aut Jwa, Y.-J. aut Kalra, D. aut Kamp, N. aut Kaneshige, N. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Lepetic, I. aut Li, K. aut Li, Y. aut Lin, K. aut Littlejohn, B. R. aut Louis, W. C. aut Luo, X. aut Manivannan, K. aut Mariani, C. aut Marsden, D. aut Marshall, J. aut Caicedo, D. A. Martinez aut Mason, K. aut Mastbaum, A. aut McConkey, N. aut Meddage, V. aut Mettler, T. aut Miller, K. aut Mills, J. aut Mistry, K. aut Mogan, A. aut Mohayai, T. aut Moon, J. aut Mooney, M. aut Moor, A. F. aut Moore, C. D. aut Mora Lepin, L. aut Mousseau, J. aut Murphy, M. aut Naples, D. aut Navrer-Agasson, A. aut Nebot-Guinot, M. aut Neely, R. K. aut Newmark, D. A. aut Nowak, J. aut Nunes, M. aut Palamara, O. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Patel, N. aut Paudel, A. aut Pavlovic, Z. aut Piasetzky, E. aut Ponce-Pinto, I. D. aut Prince, S. aut Qian, X. aut Raaf, J. L. aut Radeka, V. aut Rafique, A. aut Reggiani-Guzzo, M. aut Ren, L. aut Rice, L. C. J. aut Rochester, L. aut Rodriguez Rondon, J. aut Rosenberg, M. aut Ross-Lonergan, M. aut Scanavini, G. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sharankova, R. aut Shi, J. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Spentzouris, P. aut Spitz, J. aut Stancari, M. aut St. John, J. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tang, W. aut Terao, K. aut Thorpe, C. aut Totani, D. aut Toups, M. aut Tsai, Y.-T. aut Uchida, M. A. aut Usher, T. aut Van De Pontseele, W. aut Viren, B. aut Weber, M. aut Wei, H. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Wospakrik, M. aut Wresilo, K. aut Wright, N. aut Wu, W. aut Yandel, E. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. (orcid)0000-0002-3756-3646 aut Yu, H. W. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 5 vom: 17. Mai (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:5 day:17 month:05 https://dx.doi.org/10.1140/epjc/s10052-022-10270-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 5 17 05 |
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10.1140/epjc/s10052-022-10270-8 doi (DE-627)SPR047022175 (SPR)s10052-022-10270-8-e DE-627 ger DE-627 rakwb eng Abratenko, P. verfasserin aut Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. An, R. aut Anthony, J. aut Arellano, L. aut Asaadi, J. aut Ashkenazi, A. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Basque, V. aut Bathe-Peters, L. aut Benevides Rodrigues, O. aut Berkman, S. aut Bhanderi, A. aut Bhat, A. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Book, J. Y. aut Camilleri, L. aut Caratelli, D. aut Caro Terrazas, I. aut Cavanna, F. aut Cerati, G. aut Chen, Y. aut Cianci, D. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Dennis, S. R. aut Detje, P. aut Devitt, A. aut Diurba, R. aut Dorrill, R. aut Duffy, K. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Evans, J. J. aut Fine, R. aut Fiorentini Aguirre, G. A. aut Fitzpatrick, R. S. aut Fleming, B. T. aut Foppiani, N. aut Franco, D. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Gardiner, S. aut Ge, G. aut Gollapinni, S. aut Goodwin, O. aut Gramellini, E. aut Green, P. aut Greenlee, H. aut Gu, W. aut Guenette, R. aut Guzowski, P. aut Hagaman, L. aut Hen, O. aut Hilgenberg, C. aut Horton-Smith, G. A. aut Hourlier, A. aut Itay, R. aut James, C. aut Ji, X. aut Jiang, L. aut Jo, J. H. aut Johnson, R. A. aut Jwa, Y.-J. aut Kalra, D. aut Kamp, N. aut Kaneshige, N. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Lepetic, I. aut Li, K. aut Li, Y. aut Lin, K. aut Littlejohn, B. R. aut Louis, W. C. aut Luo, X. aut Manivannan, K. aut Mariani, C. aut Marsden, D. aut Marshall, J. aut Caicedo, D. A. Martinez aut Mason, K. aut Mastbaum, A. aut McConkey, N. aut Meddage, V. aut Mettler, T. aut Miller, K. aut Mills, J. aut Mistry, K. aut Mogan, A. aut Mohayai, T. aut Moon, J. aut Mooney, M. aut Moor, A. F. aut Moore, C. D. aut Mora Lepin, L. aut Mousseau, J. aut Murphy, M. aut Naples, D. aut Navrer-Agasson, A. aut Nebot-Guinot, M. aut Neely, R. K. aut Newmark, D. A. aut Nowak, J. aut Nunes, M. aut Palamara, O. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Patel, N. aut Paudel, A. aut Pavlovic, Z. aut Piasetzky, E. aut Ponce-Pinto, I. D. aut Prince, S. aut Qian, X. aut Raaf, J. L. aut Radeka, V. aut Rafique, A. aut Reggiani-Guzzo, M. aut Ren, L. aut Rice, L. C. J. aut Rochester, L. aut Rodriguez Rondon, J. aut Rosenberg, M. aut Ross-Lonergan, M. aut Scanavini, G. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sharankova, R. aut Shi, J. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Spentzouris, P. aut Spitz, J. aut Stancari, M. aut St. John, J. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tang, W. aut Terao, K. aut Thorpe, C. aut Totani, D. aut Toups, M. aut Tsai, Y.-T. aut Uchida, M. A. aut Usher, T. aut Van De Pontseele, W. aut Viren, B. aut Weber, M. aut Wei, H. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Wospakrik, M. aut Wresilo, K. aut Wright, N. aut Wu, W. aut Yandel, E. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. (orcid)0000-0002-3756-3646 aut Yu, H. W. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 5 vom: 17. Mai (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:5 day:17 month:05 https://dx.doi.org/10.1140/epjc/s10052-022-10270-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 5 17 05 |
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10.1140/epjc/s10052-022-10270-8 doi (DE-627)SPR047022175 (SPR)s10052-022-10270-8-e DE-627 ger DE-627 rakwb eng Abratenko, P. verfasserin aut Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. An, R. aut Anthony, J. aut Arellano, L. aut Asaadi, J. aut Ashkenazi, A. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Basque, V. aut Bathe-Peters, L. aut Benevides Rodrigues, O. aut Berkman, S. aut Bhanderi, A. aut Bhat, A. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Book, J. Y. aut Camilleri, L. aut Caratelli, D. aut Caro Terrazas, I. aut Cavanna, F. aut Cerati, G. aut Chen, Y. aut Cianci, D. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Dennis, S. R. aut Detje, P. aut Devitt, A. aut Diurba, R. aut Dorrill, R. aut Duffy, K. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Evans, J. J. aut Fine, R. aut Fiorentini Aguirre, G. A. aut Fitzpatrick, R. S. aut Fleming, B. T. aut Foppiani, N. aut Franco, D. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Gardiner, S. aut Ge, G. aut Gollapinni, S. aut Goodwin, O. aut Gramellini, E. aut Green, P. aut Greenlee, H. aut Gu, W. aut Guenette, R. aut Guzowski, P. aut Hagaman, L. aut Hen, O. aut Hilgenberg, C. aut Horton-Smith, G. A. aut Hourlier, A. aut Itay, R. aut James, C. aut Ji, X. aut Jiang, L. aut Jo, J. H. aut Johnson, R. A. aut Jwa, Y.-J. aut Kalra, D. aut Kamp, N. aut Kaneshige, N. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Lepetic, I. aut Li, K. aut Li, Y. aut Lin, K. aut Littlejohn, B. R. aut Louis, W. C. aut Luo, X. aut Manivannan, K. aut Mariani, C. aut Marsden, D. aut Marshall, J. aut Caicedo, D. A. Martinez aut Mason, K. aut Mastbaum, A. aut McConkey, N. aut Meddage, V. aut Mettler, T. aut Miller, K. aut Mills, J. aut Mistry, K. aut Mogan, A. aut Mohayai, T. aut Moon, J. aut Mooney, M. aut Moor, A. F. aut Moore, C. D. aut Mora Lepin, L. aut Mousseau, J. aut Murphy, M. aut Naples, D. aut Navrer-Agasson, A. aut Nebot-Guinot, M. aut Neely, R. K. aut Newmark, D. A. aut Nowak, J. aut Nunes, M. aut Palamara, O. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Patel, N. aut Paudel, A. aut Pavlovic, Z. aut Piasetzky, E. aut Ponce-Pinto, I. D. aut Prince, S. aut Qian, X. aut Raaf, J. L. aut Radeka, V. aut Rafique, A. aut Reggiani-Guzzo, M. aut Ren, L. aut Rice, L. C. J. aut Rochester, L. aut Rodriguez Rondon, J. aut Rosenberg, M. aut Ross-Lonergan, M. aut Scanavini, G. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sharankova, R. aut Shi, J. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Spentzouris, P. aut Spitz, J. aut Stancari, M. aut St. John, J. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tang, W. aut Terao, K. aut Thorpe, C. aut Totani, D. aut Toups, M. aut Tsai, Y.-T. aut Uchida, M. A. aut Usher, T. aut Van De Pontseele, W. aut Viren, B. aut Weber, M. aut Wei, H. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Wospakrik, M. aut Wresilo, K. aut Wright, N. aut Wu, W. aut Yandel, E. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. (orcid)0000-0002-3756-3646 aut Yu, H. W. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 5 vom: 17. Mai (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:5 day:17 month:05 https://dx.doi.org/10.1140/epjc/s10052-022-10270-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 5 17 05 |
allfieldsGer |
10.1140/epjc/s10052-022-10270-8 doi (DE-627)SPR047022175 (SPR)s10052-022-10270-8-e DE-627 ger DE-627 rakwb eng Abratenko, P. verfasserin aut Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. An, R. aut Anthony, J. aut Arellano, L. aut Asaadi, J. aut Ashkenazi, A. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Basque, V. aut Bathe-Peters, L. aut Benevides Rodrigues, O. aut Berkman, S. aut Bhanderi, A. aut Bhat, A. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Book, J. Y. aut Camilleri, L. aut Caratelli, D. aut Caro Terrazas, I. aut Cavanna, F. aut Cerati, G. aut Chen, Y. aut Cianci, D. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Dennis, S. R. aut Detje, P. aut Devitt, A. aut Diurba, R. aut Dorrill, R. aut Duffy, K. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Evans, J. J. aut Fine, R. aut Fiorentini Aguirre, G. A. aut Fitzpatrick, R. S. aut Fleming, B. T. aut Foppiani, N. aut Franco, D. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Gardiner, S. aut Ge, G. aut Gollapinni, S. aut Goodwin, O. aut Gramellini, E. aut Green, P. aut Greenlee, H. aut Gu, W. aut Guenette, R. aut Guzowski, P. aut Hagaman, L. aut Hen, O. aut Hilgenberg, C. aut Horton-Smith, G. A. aut Hourlier, A. aut Itay, R. aut James, C. aut Ji, X. aut Jiang, L. aut Jo, J. H. aut Johnson, R. A. aut Jwa, Y.-J. aut Kalra, D. aut Kamp, N. aut Kaneshige, N. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Lepetic, I. aut Li, K. aut Li, Y. aut Lin, K. aut Littlejohn, B. R. aut Louis, W. C. aut Luo, X. aut Manivannan, K. aut Mariani, C. aut Marsden, D. aut Marshall, J. aut Caicedo, D. A. Martinez aut Mason, K. aut Mastbaum, A. aut McConkey, N. aut Meddage, V. aut Mettler, T. aut Miller, K. aut Mills, J. aut Mistry, K. aut Mogan, A. aut Mohayai, T. aut Moon, J. aut Mooney, M. aut Moor, A. F. aut Moore, C. D. aut Mora Lepin, L. aut Mousseau, J. aut Murphy, M. aut Naples, D. aut Navrer-Agasson, A. aut Nebot-Guinot, M. aut Neely, R. K. aut Newmark, D. A. aut Nowak, J. aut Nunes, M. aut Palamara, O. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Patel, N. aut Paudel, A. aut Pavlovic, Z. aut Piasetzky, E. aut Ponce-Pinto, I. D. aut Prince, S. aut Qian, X. aut Raaf, J. L. aut Radeka, V. aut Rafique, A. aut Reggiani-Guzzo, M. aut Ren, L. aut Rice, L. C. J. aut Rochester, L. aut Rodriguez Rondon, J. aut Rosenberg, M. aut Ross-Lonergan, M. aut Scanavini, G. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sharankova, R. aut Shi, J. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Spentzouris, P. aut Spitz, J. aut Stancari, M. aut St. John, J. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tang, W. aut Terao, K. aut Thorpe, C. aut Totani, D. aut Toups, M. aut Tsai, Y.-T. aut Uchida, M. A. aut Usher, T. aut Van De Pontseele, W. aut Viren, B. aut Weber, M. aut Wei, H. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Wospakrik, M. aut Wresilo, K. aut Wright, N. aut Wu, W. aut Yandel, E. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. (orcid)0000-0002-3756-3646 aut Yu, H. W. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 5 vom: 17. Mai (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:5 day:17 month:05 https://dx.doi.org/10.1140/epjc/s10052-022-10270-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 5 17 05 |
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10.1140/epjc/s10052-022-10270-8 doi (DE-627)SPR047022175 (SPR)s10052-022-10270-8-e DE-627 ger DE-627 rakwb eng Abratenko, P. verfasserin aut Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. An, R. aut Anthony, J. aut Arellano, L. aut Asaadi, J. aut Ashkenazi, A. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Basque, V. aut Bathe-Peters, L. aut Benevides Rodrigues, O. aut Berkman, S. aut Bhanderi, A. aut Bhat, A. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Book, J. Y. aut Camilleri, L. aut Caratelli, D. aut Caro Terrazas, I. aut Cavanna, F. aut Cerati, G. aut Chen, Y. aut Cianci, D. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Dennis, S. R. aut Detje, P. aut Devitt, A. aut Diurba, R. aut Dorrill, R. aut Duffy, K. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Evans, J. J. aut Fine, R. aut Fiorentini Aguirre, G. A. aut Fitzpatrick, R. S. aut Fleming, B. T. aut Foppiani, N. aut Franco, D. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Gardiner, S. aut Ge, G. aut Gollapinni, S. aut Goodwin, O. aut Gramellini, E. aut Green, P. aut Greenlee, H. aut Gu, W. aut Guenette, R. aut Guzowski, P. aut Hagaman, L. aut Hen, O. aut Hilgenberg, C. aut Horton-Smith, G. A. aut Hourlier, A. aut Itay, R. aut James, C. aut Ji, X. aut Jiang, L. aut Jo, J. H. aut Johnson, R. A. aut Jwa, Y.-J. aut Kalra, D. aut Kamp, N. aut Kaneshige, N. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Lepetic, I. aut Li, K. aut Li, Y. aut Lin, K. aut Littlejohn, B. R. aut Louis, W. C. aut Luo, X. aut Manivannan, K. aut Mariani, C. aut Marsden, D. aut Marshall, J. aut Caicedo, D. A. Martinez aut Mason, K. aut Mastbaum, A. aut McConkey, N. aut Meddage, V. aut Mettler, T. aut Miller, K. aut Mills, J. aut Mistry, K. aut Mogan, A. aut Mohayai, T. aut Moon, J. aut Mooney, M. aut Moor, A. F. aut Moore, C. D. aut Mora Lepin, L. aut Mousseau, J. aut Murphy, M. aut Naples, D. aut Navrer-Agasson, A. aut Nebot-Guinot, M. aut Neely, R. K. aut Newmark, D. A. aut Nowak, J. aut Nunes, M. aut Palamara, O. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Patel, N. aut Paudel, A. aut Pavlovic, Z. aut Piasetzky, E. aut Ponce-Pinto, I. D. aut Prince, S. aut Qian, X. aut Raaf, J. L. aut Radeka, V. aut Rafique, A. aut Reggiani-Guzzo, M. aut Ren, L. aut Rice, L. C. J. aut Rochester, L. aut Rodriguez Rondon, J. aut Rosenberg, M. aut Ross-Lonergan, M. aut Scanavini, G. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sharankova, R. aut Shi, J. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Spentzouris, P. aut Spitz, J. aut Stancari, M. aut St. John, J. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tang, W. aut Terao, K. aut Thorpe, C. aut Totani, D. aut Toups, M. aut Tsai, Y.-T. aut Uchida, M. A. aut Usher, T. aut Van De Pontseele, W. aut Viren, B. aut Weber, M. aut Wei, H. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Wospakrik, M. aut Wresilo, K. aut Wright, N. aut Wu, W. aut Yandel, E. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. (orcid)0000-0002-3756-3646 aut Yu, H. W. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 82(2022), 5 vom: 17. Mai (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:82 year:2022 number:5 day:17 month:05 https://dx.doi.org/10.1140/epjc/s10052-022-10270-8 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 82 2022 5 17 05 |
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Abratenko, P. Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data |
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Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data |
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Abratenko, P. An, R. Anthony, J. Arellano, L. 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. Book, J. Y. Camilleri, L. Caratelli, D. Caro Terrazas, I. Cavanna, F. Cerati, G. Chen, Y. Cianci, D. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadón, J. I. Del Tutto, M. Dennis, S. R. Detje, P. Devitt, A. Diurba, R. Dorrill, R. Duffy, K. Dytman, S. Eberly, B. Ereditato, A. Evans, J. J. Fine, R. 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. Hagaman, L. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Hourlier, A. Itay, R. James, C. Ji, X. Jiang, L. Jo, J. H. Johnson, R. A. Jwa, Y.-J. Kalra, D. Kamp, N. Kaneshige, N. Karagiorgi, G. Ketchum, W. Kirby, M. Kobilarcik, T. Kreslo, I. 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. Mogan, A. Mohayai, T. Moon, J. Mooney, M. Moor, A. F. Moore, C. D. Mora Lepin, L. Mousseau, J. Murphy, M. Naples, D. Navrer-Agasson, A. Nebot-Guinot, M. Neely, R. K. Newmark, D. A. Nowak, J. Nunes, M. Palamara, O. Paolone, V. Papadopoulou, A. Papavassiliou, V. Pate, S. F. Patel, N. Paudel, A. Pavlovic, Z. Piasetzky, E. Ponce-Pinto, I. D. Prince, S. Qian, X. Raaf, J. L. Radeka, V. Rafique, A. Reggiani-Guzzo, M. Ren, L. Rice, L. C. J. Rochester, L. Rodriguez Rondon, J. Rosenberg, M. Ross-Lonergan, M. Scanavini, G. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Sinclair, J. Smith, A. Snider, E. L. Soderberg, M. Söldner-Rembold, S. Spentzouris, P. Spitz, J. Stancari, M. St. John, J. Strauss, T. Sutton, K. Sword-Fehlberg, S. Szelc, A. M. 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. Wresilo, K. Wright, N. Wu, W. Yandel, E. Yang, T. Yarbrough, G. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C. |
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10.1140/epjc/s10052-022-10270-8 |
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novel approach for evaluating detector-related uncertainties in a lartpc using microboone data |
title_auth |
Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data |
abstract |
Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. © The Author(s) 2022 |
abstractGer |
Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. © The Author(s) 2022 |
abstract_unstemmed |
Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE. © The Author(s) 2022 |
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title_short |
Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data |
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An, R. Anthony, J. Arellano, L. 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. Book, J. Y. Camilleri, L. Caratelli, D. Caro Terrazas, I. Cavanna, F. Cerati, G. Chen, Y. Cianci, D. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadón, J. I. Del Tutto, M. Dennis, S. R. Detje, P. Devitt, A. Diurba, R. Dorrill, R. Duffy, K. Dytman, S. Eberly, B. Ereditato, A. Evans, J. J. Fine, R. 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. Hagaman, L. Hen, O. Hilgenberg, C. Horton-Smith, G. A. Hourlier, A. Itay, R. James, C. Ji, X. Jiang, L. Jo, J. H. Johnson, R. A. Jwa, Y.-J. Kalra, D. Kamp, N. Kaneshige, N. Karagiorgi, G. Ketchum, W. Kirby, M. Kobilarcik, T. Kreslo, I. 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. Mogan, A. Mohayai, T. Moon, J. Mooney, M. Moor, A. F. Moore, C. D. Mora Lepin, L. Mousseau, J. Murphy, M. Naples, D. Navrer-Agasson, A. Nebot-Guinot, M. Neely, R. K. Newmark, D. A. Nowak, J. Nunes, M. Palamara, O. Paolone, V. Papadopoulou, A. Papavassiliou, V. Pate, S. F. Patel, N. Paudel, A. Pavlovic, Z. Piasetzky, E. Ponce-Pinto, I. D. Prince, S. Qian, X. Raaf, J. L. Radeka, V. Rafique, A. Reggiani-Guzzo, M. Ren, L. Rice, L. C. J. Rochester, L. Rodriguez Rondon, J. Rosenberg, M. Ross-Lonergan, M. Scanavini, G. Schmitz, D. W. Schukraft, A. Seligman, W. Shaevitz, M. H. Sharankova, R. Shi, J. Sinclair, J. Smith, A. Snider, E. L. Soderberg, M. Söldner-Rembold, S. Spentzouris, P. Spitz, J. Stancari, M. St. John, J. Strauss, T. Sutton, K. Sword-Fehlberg, S. Szelc, A. M. 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. Wresilo, K. Wright, N. Wu, W. Yandel, E. Yang, T. Yarbrough, G. Yates, L. E. Yu, H. W. Zeller, G. P. Zennamo, J. Zhang, C. |
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doi_str |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR047022175</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509103432.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220518s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1140/epjc/s10052-022-10270-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047022175</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10052-022-10270-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Abratenko, P.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. 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