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54. Cosmic Ray Background Rejection with Wire-Cell LArTPC Event Reconstruction in the MicroBooNE Detector

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, 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., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., 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., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

For a large liquid argon time projection chamber (LArTPC) operating on or near the Earth's surface to detect neutrino interactions, the rejection of cosmogenic background is a critical and challenging task because of the large cosmic ray flux and the long drift time of the TPC. We introduce a superior cosmic background rejection procedure based on the Wire-Cell three-dimensional (3D) event reconstruction for LArTPCs. From an initial 1:20,000 neutrino to cosmic-ray background ratio, we demonstrate these tools on data from the MicroBooNE experiment and create a high performance generic neutrino event selection with a cosmic contamination of 14.9\% (9.7\%) for a visible energy region greater than O(200)~MeV. The neutrino interaction selection efficiency is 80.4\% and 87.6\% for inclusive $\nu_\mu$ charged-current and $\nu_e$ charged-current interactions, respectively. This significantly improved performance compared to existing reconstruction algorithms, marks a major milestone toward reaching the scientific goals of LArTPC neutrino oscillation experiments operating near the Earth's surface.

Published
2021
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55. Measurement of the Flux-Averaged Inclusive Charged-Current Electron Neutrino and Antineutrino Cross Section on Argon using the NuMI Beam and the MicroBooNE Detector

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, 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., Hall, E., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, 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., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thorpe, C., 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., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment
Abstract

We present a measurement of the combined $\nu_e$ + $\bar{\nu}_e$ flux-averaged charged-current inclusive cross section on argon using data from the MicroBooNE liquid argon time projection chamber (LArTPC) at Fermilab. Using the off-axis flux from the NuMI beam, MicroBooNE has reconstructed 214 candidate $\nu_e$ + $\bar{\nu}_e$ interactions with an estimated exposure of 2.4$\times10^{20}$ protons on target. Given the estimated purity of 38.6\%, this implies the observation of 80 $\nu_e$ + $\bar{\nu}_e$ events in argon, the largest such sample to date. The analysis includes the first demonstration of a fully automated application of a dE/dx-based particle discrimination technique of electron and photon induced showers in a LArTPC neutrino detector. We measure the $\nu_e + \bar{\nu}_e$ flux-averaged charged-current total cross section to be ${6.84\pm\!1.51~\textrm{(stat.)}\pm\!2.33~\textrm{(sys.)}\!\times\!10^{-39}~\textrm{cm}^{2}/~\textrm{nucleon}}$, for neutrino energies above 250 MeV and an average neutrino flux energy of 905 MeV when this threshold is applied. The measurement is sensitive to neutrino events where the final state electron momentum is above 48 MeV/c, includes the entire angular phase space of the electron, and is in agreement with the theoretical predictions from \texttt{GENIE} and \texttt{NuWro}. This measurement is also the first demonstration of electron neutrino reconstruction in a surface LArTPC in the presence of cosmic ray backgrounds, which will be a crucial task for surface experiments like those that comprise the Short-Baseline Neutrino (SBN) Program at Fermilab., Comment: 16 pages, 16 figures, contains supplementary flux files

Published
2021
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56. Measurement of the Atmospheric Muon Rate with the MicroBooNE Liquid Argon TPC

Author

MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bass, M., Bay, F., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Grosso, R., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Joshi, J., Jwa, Y. J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Porzio, D., Prince, S., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Ren, L., Rochester, L., Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

MicroBooNE is a near-surface liquid argon (LAr) time projection chamber (TPC) located at Fermilab. We measure the characterisation of muons originating from cosmic interactions in the atmosphere using both the charge collection and light readout detectors. The data is compared with the CORSIKA cosmic-ray simulation. Good agreement is found between the observation, simulation and previous results. Furthermore, the angular resolution of the reconstructed muons inside the TPC is studied in simulation., Comment: 20 pages, 14 figures

Published
2020
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57. Semantic Segmentation with a Sparse Convolutional Neural Network for Event Reconstruction in MicroBooNE

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Devitt, D., Diurba, R., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Evans, J. J., Aguirre, G. A. Fiorentini, 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Littlejohn, B. R., Louis, W. C., Luo, X., Marchionni, A., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, 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., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thorpe, C., 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., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

We present the performance of a semantic segmentation network, SparseSSNet, that provides pixel-level classification of MicroBooNE data. The MicroBooNE experiment employs a liquid argon time projection chamber for the study of neutrino properties and interactions. SparseSSNet is a submanifold sparse convolutional neural network, which provides the initial machine learning based algorithm utilized in one of MicroBooNE's $\nu_e$-appearance oscillation analyses. The network is trained to categorize pixels into five classes, which are re-classified into two classes more relevant to the current analysis. The output of SparseSSNet is a key input in further analysis steps. This technique, used for the first time in liquid argon time projection chambers data and is an improvement compared to a previously used convolutional neural network, both in accuracy and computing resource utilization. The accuracy achieved on the test sample is $\geq 99\%$. For full neutrino interaction simulations, the time for processing one image is $\approx$ 0.5 sec, the memory usage is at 1 GB level, which allows utilization of most typical CPU worker machine.

Published
2020
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58. High-performance Generic Neutrino Detection in a LArTPC near the Earth's Surface with the MicroBooNE Detector

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, 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., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., 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., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

Large Liquid Argon Time Projection Chambers (LArTPCs) are being increasingly adopted in neutrino oscillation experiments because of their superb imaging capabilities through the combination of both tracking and calorimetry in a fully active volume. Active LArTPC neutrino detectors at or near the Earth's surface, such as the MicroBooNE experiment, present a unique analysis challenge because of the large flux of cosmic-ray muons and the slow drift of ionization electrons. We present a novel Wire-Cell-based high-performance generic neutrino-detection technique implemented in MicroBooNE. The cosmic-ray background is reduced by a factor of 1.4$\times10^{5}$ resulting in a 9.7\% cosmic contamination in the selected neutrino candidate events, for visible energies greater than 200~MeV, while the neutrino signal efficiency is retained at 88.4\% for $\nu_{\mu}$ charged-current interactions in the fiducial volume in the same energy region. This significantly improved performance compared to existing reconstruction algorithms, marks a major milestone toward reaching the scientific goals of LArTPC neutrino oscillation experiments operating near the Earth's surface., Comment: 8 pages, 2 figures

Published
2020
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59. Cosmic Background Removal with Deep Neural Networks in SBND

Author

SBND Collaboration, Acciarri, R., Adams, C., Andreopoulos, C., Asaadi, J., Babicz, M., Backhouse, C., Badgett, W., Bagby, L., Barker, D., Basque, V., Bazetto, M. C. Q., Betancourt, M., Bhanderi, A., Bhat, A., Bonifazi, C., Brailsford, D., Brandt, A. G., Brooks, T., Carneiro, M. F., Chen, Y., Chen, H., Chisnall, G., Crespo-Anadón, J. I., Cristaldo, E., Cuesta, C., Astiz, I. L. de Icaza, De Roeck, A., Pereira, G. de Sá, Del Tutto, M., Di Benedetto, V., Ereditato, A., Evans, J. J., Ezeribe, A. C., Fitzpatrick, R. S., Fleming, B. T., Foreman, W., Franco, D., Furic, I., Furmanski, A. P., Gao, S., Garcia-Gamez, D., Frandini, H., Ge, G., Gil-Botella, I., Gollapinni, S., Goodwin, O., Green, P., Griffith, W. C., Guenette, R., Guzowski, P., Ham, T., Henzerling, J., Holin, A., Howard, B., Jones, R. S., Kalra, D., Karagiorgi, G., Kashur, L., Ketchum, W., Kim, M. J., Kudryavtsev, V. A., Larkin, J., Lay, H., Lepetic, I., Littlejohn, B. R., Louis, W. C., Machado, A. A., Malek, M., Mardsen, D., Mariani, C., Marinho, F., Mastbaum, A., Mavrokoridis, K., McConkey, N., Meddage, V., Méndez, D. P., Mettler, T., Mistry, K., Mogan, A., Molina, J., Mooney, M., Mora, L., Moura, C. A., Mousseau, J., Navrer-Agasson, A., Nicolas-Arnaldos, F. J., Nowak, J. A., Palamara, O., Pandey, V., Pater, J., Paulucci, L., Pimentel, V. L., Psihas, F., Putnam, G., Qian, X., Raguzin, E., Ray, H., Reggiani-Guzzo, M., Rivera, D., Roda, M., Ross-Lonergan, M., Scanavini, G., Scarff, A., Schmitz, D. W., Schukraft, A., Segreto, E., Nunes, M. Soares, Soderberg, M., Söldner-Rembold, S., Spitz, J., Spooner, N. J. C., Stancari, M., Stenico, G. V., Szelc, A., Tang, W., Vidal, J. Tena, Torretta, D., Toups, M., Touramanis, C., Tripathi, M., Tufanli, S., Tyley, E., Valdiviesso, G. A., Worcester, E., Worcester, M., Yarbrough, G., Yu, J., Zamorano, B., Zennamo, J., and Zglam, A.

Subjects
Physics - Data Analysis, Statistics and Probability
Abstract

In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying semantic segmentation on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program. We use this technique to identify, at single image-pixel level, whether recorded activity originated from cosmic particles or neutrino interactions.

Published
2020

60. Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, 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., de Vries, J. Jan, 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., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, 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., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., 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.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
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 with at least 70% completeness and 80% purity.

Published
2020
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61. A Convolutional Neural Network for Multiple Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, 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., Hall, E., Hamilton, P., Hen, O., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, 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., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thorpe, C., 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., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment
Abstract

We present the multiple particle identification (MPID) network, a convolutional neural network (CNN) for multiple object classification, developed by MicroBooNE. MPID provides the probabilities of $e^-$, $\gamma$, $\mu^-$, $\pi^\pm$, and protons in a single liquid argon time projection chamber (LArTPC) readout plane. The network extends the single particle identification network previously developed by MicroBooNE. MPID takes as input an image either cropped around a reconstructed interaction vertex or containing only activity connected to a reconstructed vertex, therefore relieving the tool from inefficiencies in vertex finding and particle clustering. The network serves as an important component in MicroBooNE's deep learning based $\nu_e$ search analysis. In this paper, we present the network's design, training, and performance on simulation and data from the MicroBooNE detector.

Published
2020
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62. Measurement of Differential Cross Sections for $\nu_\mu$-Ar Charged-Current Interactions with Protons and no Pions in the Final State with the MicroBooNE Detector

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, 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., de Vries, J. Jan, 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., Lister, A., Littlejohn, B. R., Lorca, D., Louis, W. C., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marsden, D., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, 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., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., 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., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment, Nuclear Theory, Physics - Instrumentation and Detectors
Abstract

We present an analysis of MicroBooNE data with a signature of one muon, no pions, and at least one proton above a momentum threshold of 300 MeV/c (CC0$\pi$Np). This is the first differential cross section measurement of this topology in neutrino-argon interactions. We achieve a significantly lower proton momentum threshold than previous carbon and scintillator-based experiments. Using data collected from a total of approximately $1.6 \times 10^{20}$ protons-on-target, we measure the muon neutrino cross section for the CC0$\pi$Np interaction channel in argon at MicroBooNE in the Booster Neutrino Beam which has a mean energy of around 800 MeV. We present the results from a data sample with estimated efficiency of 29\% and purity of 76\% as differential cross sections in five reconstructed variables: the muon momentum and polar angle, the leading proton momentum and polar angle, and the muon-proton opening angle. We include smearing matrices that can be used to "forward-fold" theoretical predictions for comparison with these data. We compare the measured differential cross sections to a number of recent theory predictions demonstrating largely good agreement with this first-ever data set on argon., Comment: 24 pages, 43 figures, 1 table and supplemental material

Published
2020
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63. The Continuous Readout Stream of the MicroBooNE Liquid Argon Time Projection Chamber for Detection of Supernova Burst Neutrinos

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Fadeeva, A. A., Aguirre, G. A. Fiorentini, Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, L., 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., de Vries, J. Jan, 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., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, 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., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Thorpe, C., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The MicroBooNE continuous readout stream is a parallel readout of the MicroBooNE liquid argon time projection chamber (LArTPC) which enables detection of non-beam events such as those from a supernova neutrino burst. The low energies of the supernova neutrinos and the intense cosmic-ray background flux due to the near-surface detector location makes triggering on these events very challenging. Instead, MicroBooNE relies on a delayed trigger generated by SNEWS (the Supernova Early Warning System) for detecting supernova neutrinos. The continuous readout of the LArTPC generates large data volumes, and requires the use of real-time compression algorithms (zero suppression and Huffman compression) implemented in an FPGA (field-programmable gate array) in the readout electronics. We present the results of the optimization of the data reduction algorithms, and their operational performance. To demonstrate the capability of the continuous stream to detect low-energy electrons, a sample of Michel electrons from stopping cosmic-ray muons is reconstructed and compared to a similar sample from the lossless triggered readout stream., Comment: 30 pages, 21 figures

Published
2020
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64. Measurement of Space Charge Effects in the MicroBooNE LArTPC Using Cosmic Muons

Author

MicroBooNE collaboration, 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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, L., 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., de Vries, J. Jan, 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., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., 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., Porzio, D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, 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., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Thorpe, C., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

Large liquid argon time projection chambers (LArTPCs), especially those operating near the surface, are susceptible to space charge effects. In the context of LArTPCs, the space charge effect is the build-up of slow-moving positive ions in the detector primarily due to ionization from cosmic rays, leading to a distortion of the electric field within the detector. This effect leads to a displacement in the reconstructed position of signal ionization electrons in LArTPC detectors ("spatial distortions"), as well as to variations in the amount of electron-ion recombination experienced by ionization throughout the volume of the TPC. We present techniques that can be used to measure and correct for space charge effects in large LArTPCs by making use of cosmic muons, including the use of track pairs to unambiguously pin down spatial distortions in three dimensions. The performance of these calibration techniques are studied using both Monte Carlo simulation and MicroBooNE data, utilizing a UV laser system as a means to estimate the systematic bias associated with the calibration methodology., Comment: 38 pages, 25 figures

Published
2020
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65. First Measurement of Differential Charged Current Quasielastic-like $\nu_\mu$-Argon Scattering Cross Sections with the MicroBooNE Detector

Author

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., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diurba, R., Domine, L., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, L., 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., de Vries, J. Jan, 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., Marsden, C. Mariani D., Marshall, J., Martin-Albo, 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., 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., Rondon, J. Rodriguez, 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., Soldner-Rembold, S., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Thorpe, C., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment, High Energy Physics - Phenomenology, Nuclear Experiment, Nuclear Theory
Abstract

We report on the first measurement of flux-integrated single differential cross sections for charged-current (CC) muon neutrino ($\nu_\mu$) scattering on argon with a muon and a proton in the final state, $^{40}$Ar($\nu_\mu$,$\mu$p)X. The measurement was carried out using the Booster Neutrino Beam at Fermi National Accelerator Laboratory and the MicroBooNE liquid argon time projection chamber detector with an exposure of 4.59 $\times$ 10$^{19}$ protons on target. Events are selected to enhance the contribution of CC quasielastic (CCQE) interactions. The data are reported in terms of a total cross section as well as single differential cross sections in final state muon and proton kinematics. We measure the integrated per-nucleus CCQE-like cross section (i.e. for interactions leading to a muon, one proton and no pions above detection threshold) of (4.93 $\pm$ 0.76stat $\pm$ 1.29sys) $\times$ 10$^{-38}$cm$^2$, in good agreement with theoretical calculations. The single differential cross sections are also in overall good agreement with theoretical predictions, except at very forward muon scattering angles that correspond to low momentum-transfer events., Comment: Accepted for publication in PRL. 8 pages, 3 figures, 1 table and online supplementary materials

Published
2020
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66. Vertex-Finding and Reconstruction of Contained Two-track Neutrino Events in the MicroBooNE Detector

Author

MicroBooNE collaboration, 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., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Aguirre, G. A. Fiorentini, Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hall, E., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Naples, D., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Porzio, D., Prince, S., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

We describe algorithms developed to isolate and accurately reconstruct two-track events that are contained within the MicroBooNE detector. This method is optimized to reconstruct two tracks of lengths longer than 5 cm. This code has applications to searches for neutrino oscillations and measurements of cross sections using quasi-elastic-like charged current events. The algorithms we discuss will be applicable to all detectors running in Fermilab's Short Baseline Neutrino program (SBN), and to any future liquid argon time projection chamber (LArTPC) experiment with beam energies ~1 GeV. The algorithms are publicly available on a GITHUB repository. This reconstruction offers a complementary and independent alternative to the Pandora reconstruction package currently in use in LArTPC experiments, and provides similar reconstruction performance for two-track events., Comment: 35 pages, 26 figures

Published
2020
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67. Construction of precision wire readout planes for the Short-Baseline Near Detector (SBND)

Author

Acciarri, R., Adams, C., Andreopoulos, C., Asaadi, J., Babicz, M., Backhouse, C., Badgett, W., Bagby, L. F., Barker, D., Barnes, C., Basharina-Freshville, A., Basque, V., Baxter, A., Bazetto, M. C. Q., Beltramello, O., Betancourt, M., Bhanderi, A., Bhat, A., Bishai, M. R. M., Bitadze, A., Blake, A. S. T., Boissevain, J., Bonifazi, C., Book, J. Y., Brailsford, D., Brandt, A., Bremer, J., Brooks, T., Bullard, B. A., Camilleri, L., Carneiro, M. F., Fernández, R. Castillo, Chalifour, M., Chen, Y., Chen, H., Chisnall, G., Cianci, D., Crespo-Anadón, J. I., Cristaldo, E., Cuesta, C., Astiz, I. L. de Icaza, De Roeck, A., Pereira, G. De Sá, de Souza, G., Dennis, S. R., Di Giulio, L., Dixon, S., Elvin, A., Ereditato, A., Evans, J. J., Ezeribe, A. C., Fabre, C., Farrell, J., Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Freestone, J., Furmanski, A. P., Gamble, T., Gao, S., Garcia-Gamez, D., Garman, M. P., Gatti, H. F., Ge, G., Gil-Botella, I., Gollapinni, S., Goodwin, O., Green, P., Griffith, W. C., Guenette, R., Guzowski, P., Hamilton, P., Hentschel, S., Hill, C. M., Holin, A., Holt, S., Hrivnak, J., Huang, E. C., James, C. C., Jones, R. S., Jwa, Y., Karagiorgi, G., Kemp, E., Kim, M. J., Kose, U., Kreslo, I., Kubecki, S., Kudryavtsev, V. A., Lacarelle, B., Langstaff, M. R., Larkin, J., LaZur, R., Lepetic, I., Littlejohn, B. R., Lorca, D., Louis, W. C., Machado, A. A., Malek, M., Mariani, C., Marinho, F., Mastbaum, A., Mavrokoridis, K., McConkey, N., Meddage, V., Mercer, I., Mettler, T., Miller, K., Mistry, K., Mladenov, D., Mogan, A. J., Molina, J., Mooney, M., Mousseau, J., Nessi, M., Ni, S., Northrop, R., Nowak, J., Palamara, O., Palestini, S., Palomares, C., Pandey, V., Pater, J. R., Paulucci, L., Pavlovic, Z., Payne, D., Peres, O. L. G., Peres, O., Piastra, F., Pietropaolo, F., Pimentel, V. L., Pons, X., Putnam, G., Qian, X., Radeka, V., Raguzin, E., Ratoff, P., Ray, H., Rebel, B., Reggiani-Guzzo, M., Resnati, F., Rielage, K., Rigamonti, A., Rivera, D., Roda, M., Ross-Lonergan, M., Scanavini, G., Scarff, A., Schmitz, D. W., Schukraft, A., Segreto, E., Seletskaya, E., Shaevitz, M. H., Sinclair, J., Soares, R., Soderberg, M., Söldner-Rembold, S., Souza, H. V., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Stancari, M., Statter, J., Stenico, G. V., Strauss, T., Sutcliffe, P., Sutton, K., Szelc, A. M., Tang, W., Vidal, J. Tena, Thorn, C., Thornton, R. T., Torretta, D., Toups, M., Touramanis, C., Tripathi, M., Tufanli, S., Tyley, E., Valdiviesso, G. A., Van de Water, R., Weber, M., Wilson, P., Wilson, A., Worcester, M., Worcester, E., Wright, M. H., Wright, N., Yu, B., Yu, J., Zamorano, B., Zani, A., Zennamo, J., and Zhao, M.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The Short-Baseline Near Detector time projection chamber is unique in the design of its charge readout planes. These anode plane assemblies (APAs) have been fabricated and assembled to meet strict accuracy and precision requirements: wire spacing of 3 mm +/- 0.5 mm and wire tension of 7 N +/- 1 N across 3,964 wires per APA, and flatness within 0.5 mm over the 4 m +/- 2.5 m extent of each APA. This paper describes the design, manufacture and assembly of these key detector components, with a focus on the quality assurance at each stage., Comment: 42 pages, 45 figures. Prepared for submission to JINST

Published
2020
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68. Thickness and surface profiling of optically transparent and reflecting samples using lens-less self-referencing digital holographic microscopy

Author

Subhash Utadiya, Vismay Trivedi, Kevin Bhanderi, Mugdha Joglekar, Chaitanya Limberkar, Kireet Patel, Gyanendra Sheoran, Humberto Cabrera, Bahram Javidi, and Arun Anand

Subjects
Digital holographic microscopy, Quantitative phase imaging, Surface profile, Optical thickness, Materials of engineering and construction. Mechanics of materials, TA401-492, Industrial electrochemistry, TP250-261
Abstract

Thickness and surface profiling of transparent/semi-transparent specimens are vital in various applications, including electronics, optics, healthcare, and biotechnology. Surface profiling techniques characterize and analyze surface thickness, morphology, and roughness. Developing easy-to-use, single-shot, wide field-of-view techniques that provide nanometer level surface thickness and profiling is vital for these applications. Digital holography is a state-of-the-art technique that provides the quantitative phase images of transparent objects, from which their thickness profiles could be extracted and used for surface profiling. It has the added advantage of numerical focusing. The present manuscript details the development of a compact wide field of view, self-referencing, lens-less digital holographic microscope for surface profiling of transparent/semi-transparent samples in transmission and reflection mode. The developed microscope requires only a glass plate to generate holograms and can be used to study the dynamics of the surfaces also. It provides a field of view of 3.2mm x 2.5 mm along with a thickness measurement resolution of 2.8 nm and temporal stability of 1.1 nm over a period of 120 s. The developed microscope was tested by measuring the thickness of GeSe semiconductor thin films grown on glass substrates and comparing it with AFM measurements. The microscope was then used to quantify spatially varying thickness profiles of overlapped thin films, junction formed by heterogenous compounds and metal thin films. The microscope was also tested for dynamic studies of surface profiles by thermally loading ink markings on glass slides.

Published
2023
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69. Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector

Author

Abratenko, P., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Joshi, J., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, 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., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Porzio, D., Prince, S., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Ren, L., Rochester, L., Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., 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., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

We present upper limits on the production of heavy neutral leptons (HNLs) decaying to $\mu \pi$ pairs using data collected with the MicroBooNE liquid-argon time projection chamber (TPC) operating at Fermilab. This search is the first of its kind performed in a liquid-argon TPC. We use data collected in 2017 and 2018 corresponding to an exposure of $2.0 \times 10^{20}$ protons on target from the Fermilab Booster Neutrino Beam, which produces mainly muon neutrinos with an average energy of $\approx 800$ MeV. HNLs with higher mass are expected to have a longer time-of-flight to the liquid-argon TPC than Standard Model neutrinos. The data are therefore recorded with a dedicated trigger configured to detect HNL decays that occur after the neutrino spill reaches the detector. We set upper limits at the $90\%$ confidence level on the element $\lvert U_{\mu4}\rvert^2$ of the extended PMNS mixing matrix in the range $\lvert U_{\mu4}\rvert^2<(6.6$-$0.9)\times 10^{-7}$ for Dirac HNLs and $\lvert U_{\mu4}\rvert^2<(4.7$-$0.7)\times 10^{-7}$ for Majorana HNLs, assuming HNL masses between $260$ and $385$ MeV and $\lvert U_{e 4}\rvert^2 = \lvert U_{\tau 4}\rvert^2 = 0$., Comment: 11 pages, 9 figures. Final accepted version by Phys. Rev. D, minor textual changes

Published
2019
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70. Reconstruction and Measurement of $\mathcal{O}$(100) MeV Energy Electromagnetic Activity from $\pi^0 \rightarrow \gamma\gamma$ Decays in the MicroBooNE LArTPC

Author

MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bass, M., Bay, F., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Grosso, R., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Joshi, J., Jwa, Y. J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Porzio, D., Prince, S., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current $\nu_{\mu}$ interactions with final state $\pi^0$s. We employ a fully-automated reconstruction chain capable of identifying EM showers of $\mathcal{O}$(100) MeV energy, relying on a combination of traditional reconstruction techniques together with novel machine-learning approaches. These studies demonstrate good energy resolution, and good agreement between data and simulation, relying on the reconstructed invariant $\pi^0$ mass and other photon distributions for validation. The reconstruction techniques developed are applied to a selection of $\nu_{\mu} + {\rm Ar} \rightarrow \mu + \pi^0 + X$ candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of $\pi^0$ kinematics.

Published
2019
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71. A Method to Determine the Electric Field of Liquid Argon Time Projection Chambers Using a UV Laser System and its Application in MicroBooNE

Author

MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bass, M., Bay, F., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Evans, J. J., Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Grosso, R., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Joshi, J., Jwa, Y. J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Porzio, D., Prince, S., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Ren, L., Rochester, L., Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Uchida, M. A., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors
Abstract

Liquid argon time projection chambers (LArTPCs) are now a standard detector technology for making accelerator neutrino measurements, due to their high material density, precise tracking, and calorimetric capabilities. An electric field (E-field) is required in such detectors to drift ionized electrons to the anode to be collected. The E-field of a TPC is often approximated to be uniform between the anode and the cathode planes. However, significant distortions can appear from effects such as mechanical deformations, electrode failures, or the accumulation of space charge generated by cosmic rays. The latter is particularly relevant for detectors placed near the Earth's surface and with large drift distances and long drift time. To determine the E-field in situ, an ultraviolet (UV) laser system is installed in the MicroBooNE experiment at Fermi National Accelerator Laboratory. The purpose of this system is to provide precise measurements of the E-field, and to make it possible to correct for 3D spatial distortions due to E-field non-uniformities. Here we describe the methodology developed for deriving spatial distortions, the drift velocity and the E-field from UV-laser measurements.

Published
2019
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74. Prevalence of self-reported noncommunicable diseases in grassroot-level health worker of Petlad taluka: A cross-sectional study

Author

Charvi P Mistry and Dinesh J Bhanderi

Subjects
gujarat, health practices of health workers, lifestyle of health workers, ncd in health workers, stepwise approach for ncds, Medicine
Abstract

Context: Noncommunicable diseases (NCDs) kill 41 million people each year globally. The financial burden of NCDs, including lifelong and expensive treatment with loss of income, forces many people into poverty. Healthcare workers (HCWs) are an essential group of the workforce in building a healthier society. They must choose a healthy lifestyle to have better health for themselves. Aim: To estimate the prevalence of self-reported NCDs in grassroot-level HCWs of Petlad taluka along with the study of various healthcare and lifestyle practices among them. Methods and Material: In this cross-sectional study, grassroot-level HCWs of Petlad taluka of Anand district were given a self-administered questionnaire, which included their demographic details, their current health status, and health practices followed by them. Statistical Analysis: The data collected were entered in Microsoft Excel-2019 and analysed by SPSS version 15. Descriptive analysis and univariate analysis were performed. Results: NCDs' prevalence was 10.2%. Hypertension and diabetes were the commonest. Nearly 50% HCWs have their body mass index in a normal range. The majority of them were aware of healthy diet practices and exercise. Conclusions: Our study reported a lower prevalence of NCDs than other studies (50%). Dietary practices appear to be healthy, but a significant proportion of them are overweight. The majority of them prefer to consult at a government hospital. Healthy behaviour and practices should be encouraged and maintained in HCWs.

Published
2023
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76. Calibration of the charge and energy loss per unit length of the MicroBooNE liquid argon time projection chamber using muons and protons

Author

MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bass, M., Bay, F., Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Domine, L., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fitzpatrick, R. S., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Grosso, R., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hamilton, P., Hen, O., Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. C., Itay, R., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Joshi, J., Jwa, Y. J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Marcocci, S., Mariani, C., Marshall, J., Martin-Albo, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Neely, R. K., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Paudel, A., Pavlovic, Z., Piasetzky, E., Porzio, D., Prince, S., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., Rogers, H. E., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thornton, R. T., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Wospakrik, M., Wu, W., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

We describe a method used to calibrate the position- and time-dependent response of the MicroBooNE liquid argon time projection chamber anode wires to ionization particle energy loss. The method makes use of crossing cosmic-ray muons to partially correct anode wire signals for multiple effects as a function of time and position, including cross-connected TPC wires, space charge effects, electron attachment to impurities, diffusion, and recombination. The overall energy scale is then determined using fully-contained beam-induced muons originating and stopping in the active region of the detector. Using this method, we obtain an absolute energy scale uncertainty of 2\% in data. We use stopping protons to further refine the relation between the measured charge and the energy loss for highly-ionizing particles. This data-driven detector calibration improves both the measurement of total deposited energy and particle identification based on energy loss per unit length as a function of residual range. As an example, the proton selection efficiency is increased by 2\% after detector calibration., Comment: Accepted version

Published
2019
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77. The ASIM Mission on the International Space Station

Author

Neubert, Torsten, Østgaard, Nikolai, Reglero, Victor, Blanc, Elisabeth, Chanrion, Olivier, Oxborrow, Carol Anne, Orr, Astrid, Tacconi, Matteo, Hartnack, Ole, and Bhanderi, Dan D. V.

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Space Physics
Abstract

The Atmosphere-Space Interactions Monitor (ASIM) is an instrument suite on the International Space Station (ISS) for measurements of lightning, Transient Luminous Events (TLEs) and Terrestrial Gamma-ray Flashes (TGFs). Developed in the framework of the European Space Agency (ESA), it was launched April 2, 2018 on the SpaceX CRS-14 flight to the ISS. ASIM was mounted on an external platform of ESA's Columbus module eleven days later and is planned to take measurements during minimum 3 years.

Published
2019
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78. A method to determine the electric field of liquid argon time projection chambers using a UV laser system and its application in MicroBooNE

Author

Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V, Bass, M, Bay, F, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, IC, Carr, R, Fernandez, RC, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Evans, JJ, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, Garcia-Gamez, D, Gardiner, S, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Green, P, Greenlee, H, Grosso, R, Gu, L, Gu, W, Guenette, R, Guzowski, P, Hamilton, P, Hen, O, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, EC, Itay, R, James, C, De Vries, JJ, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Joshi, J, Jwa, YJ, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, 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, Martin-Albo, J, and Caicedo, DAM

Subjects
Ionization and excitation processes, Neutrino detectors, Noble liquid detectors, Time projection chambers, physics.ins-det, Nuclear & Particles Physics, Physical Sciences, Engineering
Abstract

Liquid argon time projection chambers (LArTPCs) are now a standard detector technology for making accelerator neutrino measurements, due to their high material density, precise tracking, and calorimetric capabilities. An electric field (E-field) is required in such detectors to drift ionization electrons to the anode where they are collected. The E-field of a TPC is often approximated to be uniform between the anode and the cathode planes. However, significant distortions can appear from effects such as mechanical deformations, electrode failures, or the accumulation of space charge generated by cosmic rays. The latter effect is particularly relevant for detectors placed near the Earth's surface and with large drift distances and long drift time. To determine the E-field in situ, an ultraviolet (UV) laser system is installed in the MicroBooNE experiment at Fermi National Accelerator Laboratory. The purpose of this system is to provide precise measurements of the E-field, and to make it possible to correct for 3D spatial distortions due to E-field non-uniformities. Here we describe the methodology developed for deriving spatial distortions, the drift velocity and the E-field from UV-laser measurements.

Published
2020

79. Calibration of the charge and energy loss per unit length of the MicroBooNE liquid argon time projection chamber using muons and protons

Author

Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V, Bass, M, Bay, F, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, I Caro, Carr, R, Fernandez, R Castillo, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Diaz, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, Garcia-Gamez, D, Gardiner, S, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Green, P, Greenlee, H, Grosso, R, Gu, L, Gu, W, Guenette, R, Guzowski, P, Hamilton, P, Hen, O, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, Itay, R, James, C, de Vries, J Jan, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Joshi, J, Jwa, Y-J, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, 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, and Martin-Albo, J

Subjects
Nuclear and Plasma Physics, Synchrotrons and Accelerators, Physical Sciences, Affordable and Clean Energy, Calorimeters, dE/dx detectors, Neutrino detectors, Time projection chambers, physics.ins-det, hep-ex, Engineering, Nuclear & Particles Physics, Physical sciences
Abstract

We describe a method used to calibrate the position- and time-dependent response of the MicroBooNE liquid argon time projection chamber anode wires to ionization particle energy loss. The method makes use of crossing cosmic-ray muons to partially correct anode wire signals for multiple effects as a function of time and position, including cross-connected TPC wires, space charge effects, electron attachment to impurities, diffusion, and recombination. The overall energy scale is then determined using fully-contained beam-induced muons originating and stopping in the active region of the detector. Using this method, we obtain an absolute energy scale uncertainty of 2% in data. We use stopping protons to further refine the relation between the measured charge and the energy loss for highly-ionizing particles. This data-driven detector calibration improves both the measurement of total deposited energy and particle identification based on energy loss per unit length as a function of residual range. As an example, the proton selection efficiency is increased by 2% after detector calibration.

Published
2020

80. Search for heavy neutral leptons decaying into muon-pion pairs in the MicroBooNE detector

Author

Abratenko, P, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, I Caro, Fernandez, R Castillo, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Evans, JJ, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, Garcia-Gamez, D, Gardiner, S, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Green, P, Greenlee, H, Gu, L, Gu, W, Guenette, R, Guzowski, P, Hamilton, P, Hen, O, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, Itay, R, James, C, de Vries, J Jan, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Joshi, J, Jwa, Y-J, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, LaZur, R, Lepetic, 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, Martin-Albo, J, Caicedo, DA Martinez, Mason, K, Mastbaum, A, McConkey, N, and Meddage, V

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, hep-ex, physics.ins-det, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Astronomical sciences, Particle and high energy physics
Abstract

We present upper limits on the production of heavy neutral leptons (HNLs) decaying to μπ pairs using data collected with the MicroBooNE liquid-argon time projection chamber (TPC) operating at Fermilab. This search is the first of its kind performed in a liquid-argon TPC. We use data collected in 2017 and 2018 corresponding to an exposure of 2.0×1020 protons on target from the Fermilab Booster Neutrino Beam, which produces mainly muon neutrinos with an average energy of ≈800 MeV. HNLs with higher mass are expected to have a longer time of flight to the liquid-argon TPC than Standard Model neutrinos. The data are therefore recorded with a dedicated trigger configured to detect HNL decays that occur after the neutrino spill reaches the detector. We set upper limits at the 90% confidence level on the element |Uμ4|2 of the extended PMNS mixing matrix in the range |Uμ4|2

Published
2020

81. An open-source instrumentation package for intensive soil hydraulic characterization

Author

Concialdi, Paola, Di Prima, Simone, Bhanderi, Harsh M, Stewart, Ryan D, Najm, Majdi R Abou, Gaur, Murari Lal, Angulo-Jaramillo, Rafael, and Lassabatere, Laurent

Subjects
Automatic infiltrometer, Infiltration rate measurements, Soil hydraulic properties, Arduino, Environmental Engineering
Abstract

We present a new open-source and modular instrumentation package composed of up to ten automatic infiltrometers connected to data acquisition systems for automatic recording of multiple infiltration experiments. The infiltrometers are equipped with differential transducers to monitor water level changes in a Mariotte reservoir, and, in turn, to quantify water infiltration rates. The data acquisition systems consist of low-cost components and operate on the open-source microcontroller platform Arduino. The devices were tested both in the laboratory and on different urban and agricultural soils in France and India. More specifically, we tested three procedures to treat the transducers readings, including a filtering algorithm that substantially improved the ability to determine cumulative infiltration from raw data. We combined these three procedures with four methods for estimating the soil parameters from infiltrometer data, showing pros and cons of each scenario. We also demonstrated advantages in using the automatic infiltrometers when infiltration measurements were hindered by: i) linearity in cumulative infiltration curves owing to gravity-driven flow, ii) an imprecise description of the transient state of infiltration, and iii) the occurrence of soil water repellency. The use of the automatic infiltrometers allows the user to obtain more accurate estimates of soil hydraulic parameters, while also reducing the amount of effort needed to run multiple experiments.

Published
2020

82. An open-source instrumentation package for intensive soil hydraulic characterization

Author

Concialdi, P, Di Prima, S, Bhanderi, HM, Stewart, RD, Abou Najm, MR, Lal Gaur, M, Angulo-Jaramillo, R, and Lassabatere, L

Subjects
Automatic infiltrometer, Infiltration rate measurements, Soil hydraulic properties, Arduino, Environmental Engineering
Abstract

We present a new open-source and modular instrumentation package composed of up to ten automatic infiltrometers connected to data acquisition systems for automatic recording of multiple infiltration experiments. The infiltrometers are equipped with differential transducers to monitor water level changes in a Mariotte reservoir, and, in turn, to quantify water infiltration rates. The data acquisition systems consist of low-cost components and operate on the open-source microcontroller platform Arduino. The devices were tested both in the laboratory and on different urban and agricultural soils in France and India. More specifically, we tested three procedures to treat the transducers readings, including a filtering algorithm that substantially improved the ability to determine cumulative infiltration from raw data. We combined these three procedures with four methods for estimating the soil parameters from infiltrometer data, showing pros and cons of each scenario. We also demonstrated advantages in using the automatic infiltrometers when infiltration measurements were hindered by: i) linearity in cumulative infiltration curves owing to gravity-driven flow, ii) an imprecise description of the transient state of infiltration, and iii) the occurrence of soil water repellency. The use of the automatic infiltrometers allows the user to obtain more accurate estimates of soil hydraulic parameters, while also reducing the amount of effort needed to run multiple experiments.

Published
2020

83. Reconstruction and measurement of (100) MeV energy electromagnetic activity from π0 arrow γγ decays in the MicroBooNE LArTPC

Author

Adams, C, Alrashed, M, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V, Bass, M, Bay, F, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Terrazas, IC, Carr, R, Fernandez, RC, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, EO, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Evans, JJ, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, Garcia-Gamez, D, Gardiner, S, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Green, P, Greenlee, H, Grosso, R, Gu, L, Gu, W, Guenette, R, Guzowski, P, Hamilton, P, Hen, O, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, EC, Itay, R, James, C, De Vries, JJ, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Joshi, J, Jwa, YJ, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lepetic, 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, and Martin-Albo, J

Subjects
Noble liquid detectors, Pattern recognition, cluster finding, calibration and fitting methods, Performance of High Energy Physics Detectors, Time projection chambers, hep-ex, physics.ins-det, Pattern recognition, cluster finding, calibration and fitting methods, Nuclear & Particles Physics, Physical Sciences, Engineering
Abstract

We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current νμ interactions with final state π0s. We employ a fully-automated reconstruction chain capable of identifying EM showers of (100) MeV energy, relying on a combination of traditional reconstruction techniques together with novel machine-learning approaches. These studies demonstrate good energy resolution, and good agreement between data and simulation, relying on the reconstructed invariant π0 mass and other photon distributions for validation. The reconstruction techniques developed are applied to a selection of νμ + Ar → μ + π0 + X candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of π0 kinematics.

Published
2020

93. Ixazomib plus daratumumab and dexamethasone: Final analysis of a phase 2 study among patients with relapsed/refractory multiple myeloma

Author

Delimpasi, Sosana, primary, Dimopoulos, Meletios A., additional, Straub, Jan, additional, Symeonidis, Argiris, additional, Pour, Luděk, additional, Hájek, Roman, additional, Touzeau, Cyrille, additional, Bhanderi, Viralkumar K., additional, Berdeja, Jesus G., additional, Pavlíček, Petr, additional, Matous, Jeffrey V., additional, Robak, Pawel J., additional, Suryanarayan, Kaveri, additional, Miller, Alison, additional, Villarreal, Miguel, additional, Cherepanov, Dasha, additional, Srimani, Jaydeep K., additional, Yao, Huilan, additional, Labotka, Richard, additional, and Orlowski, Robert Z., additional

Published
2024
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97. Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data

Author

P. Abratenko, R. An, J. Anthony, L. Arellano, J. Asaadi, A. Ashkenazi, S. Balasubramanian, B. Baller, C. Barnes, G. Barr, V. Basque, L. Bathe-Peters, O. Benevides Rodrigues, S. Berkman, A. Bhanderi, A. Bhat, M. Bishai, A. Blake, T. Bolton, J. Y. Book, L. Camilleri, D. Caratelli, I. Caro Terrazas, F. Cavanna, G. Cerati, Y. Chen, D. Cianci, J. M. Conrad, M. Convery, L. Cooper-Troendle, J. I. Crespo-Anadón, M. Del Tutto, S. R. Dennis, P. Detje, A. Devitt, R. Diurba, R. Dorrill, K. Duffy, S. Dytman, B. Eberly, A. Ereditato, J. J. Evans, R. Fine, G. A. Fiorentini Aguirre, R. S. Fitzpatrick, B. T. Fleming, N. Foppiani, D. Franco, A. P. Furmanski, D. Garcia-Gamez, S. Gardiner, G. Ge, S. Gollapinni, O. Goodwin, E. Gramellini, P. Green, H. Greenlee, W. Gu, R. Guenette, P. Guzowski, L. Hagaman, O. Hen, C. Hilgenberg, G. A. Horton-Smith, A. Hourlier, R. Itay, C. James, X. Ji, L. Jiang, J. H. Jo, R. A. Johnson, Y.-J. Jwa, D. Kalra, N. Kamp, N. Kaneshige, G. Karagiorgi, W. Ketchum, M. Kirby, T. Kobilarcik, I. Kreslo, I. Lepetic, K. Li, Y. Li, K. Lin, B. R. Littlejohn, W. C. Louis, X. Luo, K. Manivannan, C. Mariani, D. Marsden, J. Marshall, D. A. Martinez Caicedo, K. Mason, A. Mastbaum, N. McConkey, V. Meddage, T. Mettler, K. Miller, J. Mills, K. Mistry, A. Mogan, T. Mohayai, J. Moon, M. Mooney, A. F. Moor, C. D. Moore, L. Mora Lepin, J. Mousseau, M. Murphy, D. Naples, A. Navrer-Agasson, M. Nebot-Guinot, R. K. Neely, D. A. Newmark, J. Nowak, M. Nunes, O. Palamara, V. Paolone, A. Papadopoulou, V. Papavassiliou, S. F. Pate, N. Patel, A. Paudel, Z. Pavlovic, E. Piasetzky, I. D. Ponce-Pinto, S. Prince, X. Qian, J. L. Raaf, V. Radeka, A. Rafique, M. Reggiani-Guzzo, L. Ren, L. C. J. Rice, L. Rochester, J. Rodriguez Rondon, M. Rosenberg, M. Ross-Lonergan, G. Scanavini, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, R. Sharankova, J. Shi, J. Sinclair, A. Smith, E. L. Snider, M. Soderberg, S. Söldner-Rembold, P. Spentzouris, J. Spitz, M. Stancari, J. St. John, T. Strauss, K. Sutton, S. Sword-Fehlberg, A. M. Szelc, W. Tang, K. Terao, C. Thorpe, D. Totani, M. Toups, Y.-T. Tsai, M. A. Uchida, T. Usher, W. Van De Pontseele, B. Viren, M. Weber, H. Wei, Z. Williams, S. Wolbers, T. Wongjirad, M. Wospakrik, K. Wresilo, N. Wright, W. Wu, E. Yandel, T. Yang, G. Yarbrough, L. E. Yates, H. W. Yu, G. P. Zeller, J. Zennamo, C. Zhang, and MicroBooNE Collaboration

Subjects
Astrophysics, QB460-466, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
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.

Published
2022
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