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69 results on '"Del Tutto, M"'

1. Improving neutrino energy estimation of charged-current interaction events with recurrent neural networks in MicroBooNE

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnard, A., Barr, G., Barrow, D., Barrow, J., Basque, V., Bateman, J., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Brunetti, M. B., Camilleri, L., Cao, Y., Caratelli, D., Cavanna, F., Cerati, G., Chappell, A., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Cross, R., Del Tutto, M., Dennis, S. R., Detje, P., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Fleming, B. T., Foreman, W., Franco, D., Furmanski, A. P., Gao, F., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Ismail, M. S., James, C., Ji, X., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Lane, N., Lepetic, I., Li, J. -Y., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Martynenko, S., Mastbaum, A., Mawby, I., McConkey, N., Meddage, V., Mendez, J., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M. M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Pletcher, K., Pophale, I., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Trettin, A., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We present a deep learning-based method for estimating the neutrino energy of charged-current neutrino-argon interactions. We employ a recurrent neural network (RNN) architecture for neutrino energy estimation in the MicroBooNE experiment, utilizing liquid argon time projection chamber (LArTPC) detector technology. Traditional energy estimation approaches in LArTPCs, which largely rely on reconstructing and summing visible energies, often experience sizable biases and resolution smearing because of the complex nature of neutrino interactions and the detector response. The estimation of neutrino energy can be improved after considering the kinematics information of reconstructed final-state particles. Utilizing kinematic information of reconstructed particles, the deep learning-based approach shows improved resolution and reduced bias for the muon neutrino Monte Carlo simulation sample compared to the traditional approach. In order to address the common concern about the effectiveness of this method on experimental data, the RNN-based energy estimator is further examined and validated with dedicated data-simulation consistency tests using MicroBooNE data. We also assess its potential impact on a neutrino oscillation study after accounting for all statistical and systematic uncertainties and show that it enhances physics sensitivity. This method has good potential to improve the performance of other physics analyses.
Published: 2024

2. Scintillation Light in SBND: Simulation, Reconstruction, and Expected Performance of the Photon Detection System

Author: SBND Collaboration, Abratenko, P., Acciarri, R., Adams, C., Aliaga-Soplin, L., Alterkait, O., Alvarez-Garrote, R., Andreopoulos, C., Antonakis, A., Arellano, L., Asaadi, J., Badgett, W., Balasubramanian, S., Basque, V., Beever, A., Behera, B., Belchior, E., Betancourt, M., Bhat, A., Bishai, M., Blake, A., Bogart, B., Bogenschuetz, J., Brailsford, D., Brandt, A., Brickner, S., Bueno, A., Camilleri, L., Caratelli, D., Carber, D., Carlson, B., Carneiro, M., Castillo, R., Cavanna, F., Chen, H., Chung, S., Cicala, M. F., Coackley, R., Crespo-Anadón, J. I., Cuesta, C., Dalager, O., Darby, R., Del Tutto, M., Di Benedetto, V., Djurcic, Z., Duffy, K., Dytman, S., Ereditato, A., Evans, J. J., Ezeribe, A., Fan, C., Filkins, A., Fleming, B., Foreman, W., Franco, D., Furic, I., Furmanski, A., Gao, S., Garcia-Gamez, D., Gardiner, S., Ge, G., Gil-Botella, I., Gollapinni, S., Green, P., Griffith, W. C., Guenette, R., Guzowski, P., Hagaman, L., Hamer, A., Hamilton, P., Hernandez-Morquecho, M., Hilgenberg, C., Howard, B., Imani, Z., James, C., Jones, R. S., Jung, M., Junk, T., Kalra, D., Karagiorgi, G., Kelly, K., Ketchum, W., King, M., Klein, J., Kotsiopoulou, L., Kroupová, T., Kudryavtsev, V. A., Larkin, J., Lay, H., LaZur, R., Li, J. -Y., Lin, K., Littlejohn, B., Louis, W. C., Luo, X., Machado, A., Machado, P., Mariani, C., Marinho, F., Mastbaum, A., Mavrokoridis, K., McConkey, N., McCusker, B., Meddage, V., Mendez, D., Mooney, M., Moor, A. F., Moura, C. A., Mulleriababu, S., Navrer-Agasson, A., Nebot-Guinot, M., Nguyen, V. C. L., Nicolas-Arnaldos, F., Nowak, J., Oh, S., Oza, N., Palamara, O., Pallat, N., Pandey, V., Papadopoulou, A., Parkinson, H. B., Paton, J., Paulucci, L., Pavlovic, Z., Payne, D., Pelegrina-Gutiérrez, L., Pimentel, V. L., Plows, J., Psihas, F., Putnam, G., Qian, X., Rajagopalan, R., Ratoff, P., Ray, H., Reggiani-Guzzo, M., Roda, M., Ross-Lonergan, M., Safa, I., Sanchez-Castillo, A., Sanchez-Lucas, P., Schmitz, D. W., Schneider, A., Schukraft, A., Scott, H., Segreto, E., Sensenig, J., Shaevitz, M., Slater, B., Soares-Nunes, M., Soderberg, M., Söldner-Rembold, S., Spitz, J., Spooner, N. J. C., Stancari, M., Stenico, G. V., Strauss, T., Szelc, A. M., Totani, D., Toups, M., Touramanis, C., Tung, L., Valdiviesso, G. A., Van de Water, R. G., Vázquez-Ramos, A., Wan, L., Weber, M., Wei, H., Wester, T., White, A., Wilkinson, A., Wilson, P., Wongjirad, T., Worcester, E., Worcester, M., Yadav, S., Yandel, E., Yang, T., Yates, L., Yu, B., Yu, J., Zamorano, B., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: SBND is the near detector of the Short-Baseline Neutrino program at Fermilab. Its location near to the Booster Neutrino Beam source and relatively large mass will allow the study of neutrino interactions on argon with unprecedented statistics. This paper describes the expected performance of the SBND photon detection system, using a simulated sample of beam neutrinos and cosmogenic particles. Its design is a dual readout concept combining a system of 120 photomultiplier tubes, used for triggering, with a system of 192 X-ARAPUCA devices, located behind the anode wire planes. Furthermore, covering the cathode plane with highly-reflective panels coated with a wavelength-shifting compound recovers part of the light emitted towards the cathode, where no optical detectors exist. We show how this new design provides a high light yield and a more uniform detection efficiency, an excellent timing resolution and an independent 3D-position reconstruction using only the scintillation light. Finally, the whole reconstruction chain is applied to recover the temporal structure of the beam spill, which is resolved with a resolution on the order of nanoseconds., Comment: 21 pages, 17 figures
Published: 2024
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3. Measurement of the differential cross section for neutral pion production in charged-current muon neutrino interactions on argon with the MicroBooNE detector

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, D., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Brunetti, M. B., Camilleri, L., Cao, Y., Caratelli, D., Cavanna, F., Cerati, G., Chappell, A., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Cross, R., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Fleming, B. T., Foreman, W., Franco, D., Furmanski, A. P., Gao, F., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Ismail, M. S., James, C., Ji, X., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Lane, N., Lepetic, I., Li, J. -Y., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Martynenko, S., Mastbaum, A., Mawby, I., McConkey, N., Meddage, V., Mendez, J., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M. M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Pletcher, K., Pophale, I., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Trettin, A., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We present a measurement of neutral pion production in charged-current interactions using data recorded with the MicroBooNE detector exposed to Fermilab's booster neutrino beam. The signal comprises one muon, one neutral pion, any number of nucleons, and no charged pions. Studying neutral pion production in the MicroBooNE detector provides an opportunity to better understand neutrino-argon interactions, and is crucial for future accelerator-based neutrino oscillation experiments. Using a dataset corresponding to $6.86 \times 10^{20}$ protons on target, we present single-differential cross sections in muon and neutral pion momenta, scattering angles with respect to the beam for the outgoing muon and neutral pion, as well as the opening angle between the muon and neutral pion. Data extracted cross sections are compared to generator predictions. We report good agreement between the data and the models for scattering angles, except for an over-prediction by generators at muon forward angles. Similarly, the agreement between data and the models as a function of momentum is good, except for an underprediction by generators in the medium momentum ranges, $200-400$ MeV for muons and $100-200$ MeV for pions.
Published: 2024

4. Search for heavy neutral leptons in electron-positron and neutral-pion final states with the MicroBooNE detector

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, D., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Brunetti, M. B., Camilleri, L., Cao, Y., Caratelli, D., Cavanna, F., Cerati, G., Chappell, A., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Cross, R., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foreman, W., Franco, D., Furmanski, A. P., Gao, F., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Gramellini, E., Green, P., Greenlee, H., Gu, L., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Ismail, M., James, C., Ji, X., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Martynenko, S., Mastbaum, A., Mawby, I., McConkey, N., Meddage, V., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M. M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Pophale, I., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We present the first search for heavy neutral leptons (HNL) decaying into $\nu e^+e^-$ or $\nu\pi^0$ final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's Main Injector corresponding to a total exposure of $7.01 \times 10^{20}$ protons on target. We set upper limits at the $90\%$ confidence level on the mixing parameter $\lvert U_{\mu 4}\rvert^2$ in the mass ranges $10\le m_{\rm HNL}\le 150$ MeV for the $\nu e^+e^-$ channel and $150\le m_{\rm HNL}\le 245$ MeV for the $\nu\pi^0$ channel, assuming $\lvert U_{e 4}\rvert^2 = \lvert U_{\tau 4}\rvert^2 = 0$. These limits represent the most stringent constraints in the mass range $35
Published: 2023

5. Measurement of three-dimensional inclusive muon-neutrino charged-current cross sections on argon with the MicroBooNE detector

Author: MicroBooNE Collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, D., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Mastbaum, A., McConkey, N., Meddage, V., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Pophale, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We report the measurement of the differential cross section $d^{2}\sigma (E_{\nu})/ d\cos(\theta_{\mu}) dP_{\mu}$ for inclusive muon-neutrino charged-current scattering on argon. This measurement utilizes data from 6.4$\times10^{20}$ protons on target of exposure collected using the MicroBooNE liquid argon time projection chamber located along the Fermilab Booster Neutrino Beam with a mean neutrino energy of approximately 0.8~GeV. The mapping from reconstructed kinematics to truth quantities, particularly from reconstructed to true neutrino energy, is validated within uncertainties by comparing the distribution of reconstructed hadronic energy in data to that of the model prediction in different muon scattering angle bins after applying a conditional constraint from the muon momentum distribution in data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well-modeled within uncertainties in simulation, enabling the unfolding to a three-dimensional measurement over muon momentum, muon scattering angle, and neutrino energy. The unfolded measurement covers an extensive phase space, providing a wealth of information useful for future liquid argon time projection chamber experiments measuring neutrino oscillations. Comparisons against a number of commonly used model predictions are included and their performance in different parts of the available phase-space is discussed.
Published: 2023

6. Measurement of ambient radon progeny decay rates and energy spectra in liquid argon using the MicroBooNE detector

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, D., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Cross, R., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Martynenko, S., Mastbaum, A., McConkey, N., Meddage, V., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Pophale, I., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We report measurements of radon progeny in liquid argon within the MicroBooNE time projection chamber (LArTPC). The presence of specific radon daughters in MicroBooNE's 85 metric tons of active liquid argon bulk is probed with newly developed charge-based low-energy reconstruction tools and analysis techniques to detect correlated $^{214}$Bi-$^{214}$Po radioactive decays. Special datasets taken during periods of active radon doping enable new demonstrations of the calorimetric capabilities of single-phase neutrino LArTPCs for $\beta$ and $\alpha$ particles with electron-equivalent energies ranging from 0.1 to 3.0 MeV. By applying $^{214}$Bi-$^{214}$Po detection algorithms to data recorded over a 46-day period, no statistically significant presence of radioactive $^{214}$Bi is detected, and a limit on the activity is placed at $<0.35$ mBq/kg at the 95% confidence level. This bulk $^{214}$Bi radiopurity limit -- the first ever reported for a liquid argon detector incorporating liquid-phase purification -- is then further discussed in relation to the targeted upper limit of 1 mBq/kg on bulk $^{222}$Rn activity for the DUNE neutrino detector.
Published: 2023
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7. First measurement of $\eta$ production in neutrino interactions on argon with MicroBooNE

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Pophale, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We present a measurement of $\eta$ production from neutrino interactions on argon with the MicroBooNE detector. The modeling of resonant neutrino interactions on argon is a critical aspect of the neutrino oscillation physics program being carried out by the DUNE and Short Baseline Neutrino programs. $\eta$ production in neutrino interactions provides a powerful new probe of resonant interactions, complementary to pion channels, and is particularly suited to the study of higher-order resonances beyond the $\Delta(1232)$. We measure a flux-integrated cross section for neutrino-induced $\eta$ production on argon of $3.22 \pm 0.84 \; \textrm{(stat.)} \pm 0.86 \; \textrm{(syst.)}$ $10^{-41}{\textrm{cm}}^{2}$/nucleon. By demonstrating the successful reconstruction of the two photons resulting from $\eta$ production, this analysis enables a novel calibration technique for electromagnetic showers in GeV accelerator neutrino experiments.
Published: 2023
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8. First demonstration of $\mathcal{O}(1\,\text{ns})$ timing resolution in the MicroBooNE liquid argon time projection chamber

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Mousseau, J., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Pophale, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: MicroBooNE is a neutrino experiment located in the Booster Neutrino Beamline (BNB) at Fermilab, which collected data from 2015 to 2021. MicroBooNE's liquid argon time projection chamber (LArTPC) is accompanied by a photon detection system consisting of 32 photomultiplier tubes used to measure the argon scintillation light and determine the timing of neutrino interactions. Analysis techniques combining light signals and reconstructed tracks are applied to achieve a neutrino interaction time resolution of $\mathcal{O}(1\,\text{ns})$. The result obtained allows MicroBooNE to access the ns neutrino pulse structure of the BNB for the first time. The timing resolution achieved will enable significant enhancement of cosmic background rejection for all neutrino analyses. Furthermore, the ns timing resolution opens new avenues to search for long-lived-particles such as heavy neutral leptons in MicroBooNE, as well as in future large LArTPC experiments, namely the SBN program and DUNE.
Published: 2023

9. Snowmass Instrumentation Frontier IF08 Topical Group Report: Noble Element Detectors

Author: Dahl, Carl Eric, Guenette, Roxanne, Raaf, Jennifer L., Akerib, D., Asaadi, J., Caratelli, D., Church, E., Del Tutto, M., Fava, A., Gaitskell, R., Giovanetti, G. K., Giroux, G., Diaz, D. Gonzalez, Gramellini, E., Haselschwardt, S., Jackson, C., Jones, B. J. P., Kopec, A., Kravitz, S., Lippincott, H., Liu, J., Martoff, C. J., Mastbaum, A., Montanari, C., Mooney, M., Ni, K., Pagani, L., Palamara, O., Pandola, L., Patterson, R., Pereverzev, S., Qian, X., Savarese, C., Sorensen, P., Stanford, C., Szelc, A., Szydagis, M., Westerdale, S., Xu, J., Zennamo, J., Zettlemoyer, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors
Abstract: Particle detectors making use of noble elements in gaseous, liquid, or solid phases are prevalent in neutrino and dark matter experiments and are also used to a lesser extent in collider-based particle physics experiments. These experiments take advantage of both the very large, ultra-pure target volumes achievable and the multiple observable signal pathways possible in noble-element based particle detectors. As these experiments seek to increase their sensitivity, novel and improved technologies will be needed to enhance the precision of their measurements and to broaden the reach of their physics programs. The areas of R&D in noble element instrumentation that have been identified by the HEP community in the Snowmass process are highlighted by five key messages: IF08-1) Enhance and combine existing modalities (scintillation and electron drift) to increase signal-to-noise and reconstruction fidelity; IF08-2) Develop new modalities for signal detection in noble elements, including methods based on ion drift, metastable fluids, solid-phase detectors and dissolved targets. Collaborative and blue-sky R&D should also be supported to enable advances in this area; IF08-3) Improve the understanding of detector microphysics and calibrate detector response in new signal regimes; IF08-4) Address challenges in scaling technologies, including material purification, background mitigation, large-area readout, and magnetization; and IF08-5) Train the next generation of researchers, using fast-turnaround instrumentation projects to provide the design-through-result training no longer possible in very-large-scale experiments. This topical group report identifies and documents recent developments and future needs for noble element detector technologies. In addition, we highlight the opportunity that this area of research provides for continued training of the next generation of scientists., Comment: 20 pages, 1 figure
Published: 2022

10. Observation of Radon Mitigation in MicroBooNE by a Liquid Argon Filtration System

Author: MicroBooNE collaboration, Abratenko, P., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Barrow, J., Basque, V., Bathe-Peters, L., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bolton, T., Book, J. Y., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Evans, J. J., Fine, R., 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., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Joe, C., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Manivannan, K., Mariani, C., Marsden, D., Marshall, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Mousseau, J., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Neely, R. K., Newmark, D. A., Nowak, J., Nunes, M., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H. B., Pate, S. F., Patel, N., 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., Rice, L. C. J., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., Zhang, C., and Zuckerbrot, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The MicroBooNE liquid argon time projection chamber (LArTPC) maintains a high level of liquid argon purity through the use of a filtration system that removes electronegative contaminants in continuously-circulated liquid, recondensed boil off, and externally supplied argon gas. We use the MicroBooNE LArTPC to reconstruct MeV-scale radiological decays. Using this technique we measure the liquid argon filtration system's efficacy at removing radon. This is studied by placing a 500 kBq $^{222}$Rn source upstream of the filters and searching for a time-dependent increase in the number of radiological decays in the LArTPC. In the context of two models for radon mitigation via a liquid argon filtration system, a slowing mechanism and a trapping mechanism, MicroBooNE data supports a radon reduction factor of greater than 99.999% or 97%, respectively. Furthermore, a radiological survey of the filters found that the copper-based filter material was the primary medium that removed the $^{222}$Rn. This is the first observation of radon mitigation in liquid argon with a large-scale copper-based filter and could offer a radon mitigation solution for future large LArTPCs., Comment: 14 pages, 7 figures, accepted by the Journal of Instrumentation
Published: 2022
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11. Novel Approach for Evaluating Detector-Related Uncertainties in a LArTPC Using MicroBooNE Data

Author: MicroBooNE collaboration, Abratenko, P., An, R., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Book, J. Y., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadón, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Evans, J. J., Fine, R., 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., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. -J., Kalra, D., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Lepetic, I., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Manivannan, K., Mariani, C., Marsden, D., Marshall, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., Mogan, A., Mohayai, T., Moon, J., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Mousseau, J., Murphy, M., Naples, D., Navrer-Agasson, A., Nebot-Guinot, M., Neely, R. K., Newmark, D. A., Nowak, J., Nunes, M., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Patel, N., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I. D., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rice, L. C. J., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Terao, K., Thorpe, C., Totani, D., Toups, M., Tsai, Y. -T., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
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., Comment: 14 pages, 12 figures, version accepted by EPJ C
Published: 2021
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12. Wire-Cell 3D Pattern Recognition Techniques for Neutrino Event Reconstruction in Large LArTPCs: Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation

Author: MicroBooNE collaboration, Abratenko, P., An, R., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Book, J. Y., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Evans, J. J., Fine, R., 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., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Manivannan, K., Mariani, C., Marsden, D., Marshall, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., 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., Nebot-Guinot, M., Neely, R. K., Newmark, D. A., Nowak, J., Nunes, M., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Patel, N., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rice, L. C. J., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Terao, K., Thorpe, C., Totani, D., Toups, M., Tsai, Y. -T., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: Wire-Cell is a 3D event reconstruction package for liquid argon time projection chambers. Through geometry, time, and drifted charge from multiple readout wire planes, 3D space points with associated charge are reconstructed prior to the pattern recognition stage. Pattern recognition techniques, including track trajectory and $dQ/dx$ (ionization charge per unit length) fitting, 3D neutrino vertex fitting, track and shower separation, particle-level clustering, and particle identification are then applied on these 3D space points as well as the original 2D projection measurements. A deep neural network is developed to enhance the reconstruction of the neutrino interaction vertex. Compared to traditional algorithms, the deep neural network boosts the vertex efficiency by a relative 30\% for charged-current $\nu_e$ interactions. This pattern recognition achieves 80-90\% reconstruction efficiencies for primary leptons, after a 65.8\% (72.9\%) vertex efficiency for charged-current $\nu_e$ ($\nu_\mu$) interactions. Based on the resulting reconstructed particles and their kinematics, we also achieve 15-20\% energy reconstruction resolutions for charged-current neutrino interactions.
Published: 2021
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13. First Measurement of Inclusive Electron-Neutrino and Antineutrino Charged Current Differential Cross Sections in Charged Lepton Energy on Argon in MicroBooNE

Author: MicroBooNE collaboration, Abratenko, P., An, R., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Basque, V., Bathe-Peters, L., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bishai, M., Blake, A., Bolton, T., Book, J. Y., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Cianci, D., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Evans, J. J., Fine, R., 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., Hen, O., Hilgenberg, C., Horton-Smith, G. A., Hourlier, A., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Manivannan, K., Mariani, C., Marsden, D., Marshall, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., 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., Nebot-Guinot, M., Neely, R. K., Newmark, D. A., Nowak, J., Nunes, M., Palamara, O., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Patel, N., Paudel, A., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rice, L. C. J., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spentzouris, P., Spitz, J., Stancari, M., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Terao, K., Thorpe, C., Totani, D., Toups, M., Tsai, Y. -T., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yarbrough, G., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We present the first measurement of the single-differential $\nu_e + \bar{\nu}_e$ charged-current inclusive cross sections on argon in electron or positron energy and in electron or positron scattering cosine over the full angular range. Data were collected using the MicroBooNE liquid argon time projection chamber located off-axis from the Fermilab Neutrinos at the Main Injector beam over an exposure of $2.0\times10^{20}$ protons on target. The signal definition includes a 60 MeV threshold on the $\nu_e$ or $\bar{\nu}_e$ energy and a 120 MeV threshold on the electron or positron energy. The measured total and differential cross sections are found to be in agreement with the GENIE, NuWro, and GiBUU neutrino generators., Comment: 7 Pages, 2 figures. Supplemental materials include cross section values, efficiencies, purity, flux, fractional uncertainties, additional smearing matrices, and unfolded covariance matrices
Published: 2021
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14. Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data

Author: MicroBooNE collaboration, Abratenko, P., 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., Fine, R., 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., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Manivannan, K., Mariani, C., Marsden, D., Marshall, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., 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., Nowak, J., Nunes, M., 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., Rice, L. C. J., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., 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., 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., Totani, D., Toups, M., Tsai, Y. -T., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wright, N., 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: The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of this novel detector technology. Accurate and precise measurements of calorimetry are essential to the event reconstruction and are achieved by leveraging the TPC to measure deposited energy per unit length along the particle trajectory, with mm resolution. We describe the non-uniform calorimetric reconstruction performance in the detector, showing dependence on the angle of the particle trajectory. Such non-uniform reconstruction directly affects the performance of the particle identification algorithms which infer particle type from calorimetric measurements. This work presents a new particle identification method which accounts for and effectively addresses such non-uniformity. The newly developed method shows improved performance compared to previous algorithms, illustrated by a 94% proton selection efficiency and a 10% muon mis-identification rate, with a fairly loose selection of tracks performed on beam data. The performance is further demonstrated by identifying exclusive final states in $\nu_{\mu} CC$ interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE., Comment: 17 pages, 9 figures The updated version contains a clearer fig 1, some better quantification of physics reach in section 6.3, while several typos have been fixed
Published: 2021
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15. Measurement of the Longitudinal Diffusion of Ionization Electrons in the MicroBooNE Detector

Author: Abratenko, P., 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., Fine, R., 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., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kamp, N., Kaneshige, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., LaZur, R., Lepetic, I., Li, K., Li, Y., Lin, K., Lister, A., Littlejohn, B. R., Louis, W. C., Luo, X., Manivannan, K., Mariani, C., Marsden, D., Marshall, J., Caicedo, D. A. Martinez, Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Mettler, T., Miller, K., Mills, J., Mistry, K., 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., Nowak, J., Nunes, M., 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., Rice, L. C. J., Rochester, L., Rondon, J. Rodriguez, Rogers, H. E., Rosenberg, M., Ross-Lonergan, M., 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., 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., Totani, D., Toups, M., Tsai, Y. -T., Uchida, M. A., Usher, T., Van De Pontseele, W., Viren, B., Weber, M., Wei, H., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wright, N., 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: Accurate knowledge of electron transport properties is vital to understanding the information provided by liquid argon time projection chambers (LArTPCs). Ionization electron drift-lifetime, local electric field distortions caused by positive ion accumulation, and electron diffusion can all significantly impact the measured signal waveforms. This paper presents a measurement of the effective longitudinal electron diffusion coefficient, $D_L$, in MicroBooNE at the nominal electric field strength of 273.9 V/cm. Historically, this measurement has been made in LArTPC prototype detectors. This represents the first measurement in a large-scale (85 tonne active volume) LArTPC operating in a neutrino beam. This is the largest dataset ever used for this measurement. Using a sample of $\sim$70,000 through-going cosmic ray muon tracks tagged with MicroBooNE's cosmic ray tagger system, we measure $D_L = 3.74^{+0.28}_{-0.29}$ cm$^2$/s., Comment: Changes following feedback from journal referee. Some wording changes, clarifications. Merged several figures to save on space
Published: 2021
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16. 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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17. 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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18. 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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19. 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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20. 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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21. Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

Author: NEXT Collaboration, Kekic, M., Adams, C., Woodruff, K., Renner, J., Church, E., Del Tutto, M., Morata, J. A. Hernando, Gomez-Cadenas, J. J., Alvarez, V., Arazi, L., Arnquist, I. J., Azevedo, C. D. R, Bailey, K., Ballester, F., Benlloch-Rodriguez, J. M., Borges, F. I. G. M., Byrnes, N., Carcel, S., Carrion, J. V., Cebrian, S., Conde, C. A. N., Contreras, T., Diaz, G., Diaz, J., Diesburg, M., Escada, J., Esteve, R., Felkai, R., Fernandes, A. F. M., Fernandes, L. M. P., Ferrario, P., Ferreira, A. L., Freitas, E. D. C., Generowicz, J., Ghosh, S., Goldschmidt, A., Gonzalez-Diaz, D., Guenette, R., Gutierrez, R. M., Haefner, J., Hafidi, K., Hauptman, J., Henriques, C. A. O., Herrero, P., Herrero, V., Ifergan, Y., Jones, B. J. P., Labarga, L., Laing, A., Lebrun, P., Lopez-March, N., Losada, M., Mano, R. D. P., Martin-Albo, J., Martinez, A., Martinez-Lema, G., Martinez-Vara, M., McDonald, A. D., Meziani, Z. E., Monrabal, F., Monteiro, C. M. B., Mora, F. J., Vidal, J. Muñoz, Novella, P., Nygren, D. R., Palmeiro, B., Para, A., Perez, J., Querol, M., Redwine, A. B., Ripoll, L., Garcia, Y. Rodriguez, Rodriguez, J., Rogers, L., Romeo, B., Romo-Luque, C., Santos, F. P., Santos, J. M. F. dos, Simon, A., Sofka, C., Sorel, M., Stiegler, T., Toledo, J. F., Torrent, J., Uson, A., Veloso, J. F. C. A., Webb, R., Weiss-Babai, R., White, J. T., and Yahlali, N.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high energy physics. In this paper, we attempt to understand the potential of CNNs for event classification in the NEXT experiment, which will search for neutrinoless double-beta decay in $^{136}$Xe. To do so, we demonstrate the usage of CNNs for the identification of electron-positron pair production events, which exhibit a topology similar to that of a neutrinoless double-beta decay event. These events were produced in the NEXT-White high-pressure xenon TPC using 2.6-MeV gamma rays from a $^{228}$Th calibration source. We train a network on Monte Carlo-simulated events and show that, by applying on-the-fly data augmentation, the network can be made robust against differences between simulation and data. The use of CNNs offer significant improvement in signal efficiency/background rejection when compared to previous non-CNN-based analyses., Comment: 19 pages, 10 figures; version matches published JHEP version
Published: 2020
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22. 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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23. 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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24. 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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25. 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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26. 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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27. 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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28. 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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29. Design and construction of the MicroBooNE Cosmic Ray Tagger system

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., 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, Mastbaum, A., Meddage, V., Mettler, T., Mills, G. B., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., 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., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., 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., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors
Abstract: The MicroBooNE detector utilizes a liquid argon time projection chamber (LArTPC) with an 85 t active mass to study neutrino interactions along the Booster Neutrino Beam (BNB) at Fermilab. With a deployment location near ground level, the detector records many cosmic muon tracks in each beam-related detector trigger that can be misidentified as signals of interest. To reduce these cosmogenic backgrounds, we have designed and constructed a TPC-external Cosmic Ray Tagger (CRT). This sub-system was developed by the Laboratory for High Energy Physics (LHEP), Albert Einstein center for fundamental physics, University of Bern. The system utilizes plastic scintillation modules to provide precise time and position information for TPC-traversing particles. Successful matching of TPC tracks and CRT data will allow us to reduce cosmogenic background and better characterize the light collection system and LArTPC data using cosmic muons. In this paper we describe the design and installation of the MicroBooNE CRT system and provide an overview of a series of tests done to verify the proper operation of the system and its components during installation, commissioning, and physics data-taking.
Published: 2019
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30. Rejecting cosmic background for exclusive neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., 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, Mastbaum, A., Meddage, V., Mettler, T., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., 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., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., 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., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment, Physics - Data Analysis, Statistics and Probability
Abstract: Cosmic ray (CR) interactions can be a challenging source of background for neutrino oscillation and cross-section measurements in surface detectors. We present methods for CR rejection in measurements of charged-current quasielastic-like (CCQE-like) neutrino interactions, with a muon and a proton in the final state, measured using liquid argon time projection chambers (LArTPCs). Using a sample of cosmic data collected with the MicroBooNE detector, mixed with simulated neutrino scattering events, a set of event selection criteria is developed that produces an event sample with minimal contribution from CR background. Depending on the selection criteria used a purity between 50% and 80% can be achieved with a signal selection efficiency between 50% and 25%, with higher purity coming at the expense of lower efficiency. While using a specific dataset from the MicroBooNE detector and selection criteria values optimized for CCQE-like events, the concepts presented here are generic and can be adapted for various studies of exclusive {\nu}{\mu} interactions in LArTPCs., Comment: 12 pages, 10 figures, 1 table
Published: 2018

31. First Measurement of $\nu_{\mu}$ Charged-Current $\pi^{0}$ Production on Argon with a LArTPC

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E. O., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Ji, X., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., 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, Mastbaum, A., Meddage, V., Mettler, T., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Ren, L., Rochester, L., 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., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., 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., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., 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 report the first measurement of the flux-integrated cross section of $\nu_{\mu}$ charged-current single $\pi^{0}$ production on argon. This measurement is performed with the MicroBooNE detector, an 85 ton active mass liquid argon time projection chamber exposed to the Booster Neutrino Beam at Fermilab. This result on argon is compared to past measurements on lighter nuclei to investigate the scaling assumptions used in models of the production and transport of pions in neutrino-nucleus scattering. The techniques used are an important demonstration of the successful reconstruction and analysis of neutrino interactions producing electromagnetic final states using a liquid argon time projection chamber operating at the earth's surface.
Published: 2018
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32. A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber

Author: MicroBooNE collaboration, Adams, C., Alrashed, M., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Terrazas, I. Caro, Carr, R., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Duffy, K., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fitzpatrick, R. S., Fleming, B. T., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Goodwin, O., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, 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, Mastbaum, A., Meddage, V., Mettler, T., Mills, G. B., Mistry, K., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., 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., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., 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., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment, Computer Science - Computer Vision and Pattern Recognition, Physics - Data Analysis, Statistics and Probability, Physics - Instrumentation and Detectors
Abstract: We have developed a convolutional neural network (CNN) that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. The goal of this work is to develop a complete deep neural network based data reconstruction chain for the MicroBooNE detector. We show the first demonstration of a network's validity on real LArTPC data using MicroBooNE collection plane images. The demonstration is performed for stopping muon and a $\nu_\mu$ charged current neutral pion data samples.
Published: 2018
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33. Comparison of \nu\mu-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

Author: Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, H., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J, Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, 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., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Miceli, T., Mills, G. B., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., 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 measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of 800 MeV, using an exposure corresponding to 5E19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity., Comment: 31 pages, 39 figures, 10 tables
Published: 2018
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34. Ionization Electron Signal Processing in Single Phase LArTPCs II. Data/Simulation Comparison and Performance in MicroBooNE

Author: MicroBooNE collaboration, Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Carr, R., Terrazas, I. Caro, Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, H., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Dolce, M., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, 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., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Mettler, T., Miceli, T., Mills, G. B., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wei, H., Wickremasinghe, D. A., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Yu, B., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: The single-phase liquid argon time projection chamber (LArTPC) provides a large amount of detailed information in the form of fine-grained drifted ionization charge from particle traces. To fully utilize this information, the deposited charge must be accurately extracted from the raw digitized waveforms via a robust signal processing chain. Enabled by the ultra-low noise levels associated with cryogenic electronics in the MicroBooNE detector, the precise extraction of ionization charge from the induction wire planes in a single-phase LArTPC is qualitatively demonstrated on MicroBooNE data with event display images, and quantitatively demonstrated via waveform-level and track-level metrics. Improved performance of induction plane calorimetry is demonstrated through the agreement of extracted ionization charge measurements across different wire planes for various event topologies. In addition to the comprehensive waveform-level comparison of data and simulation, a calibration of the cryogenic electronics response is presented and solutions to various MicroBooNE-specific TPC issues are discussed. This work presents an important improvement in LArTPC signal processing, the foundation of reconstruction and therefore physics analyses in MicroBooNE., Comment: 54 pages, 36 figures; the first part of this work can be found at arXiv:1802.08709
Published: 2018
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35. Ionization Electron Signal Processing in Single Phase LArTPCs I. Algorithm Description and Quantitative Evaluation with MicroBooNE Simulation

Author: MicroBooNE collaboration, Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bhat, A., Bhattacharya, K., Bishai, M., Blake, A., Bolton, T., Camilleri, L., Caratelli, D., Fernandez, R. Castillo, Cavanna, F., Cerati, G., Chen, H., Chen, Y., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Diaz, A., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Evans, J. J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Guzowski, P., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G. A., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Jwa, Y. -J., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, 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., Caicedo, D. A. Martinez, Mastbaum, A., Meddage, V., Miceli, T., Mills, G. B., Mogan, A., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murphy, M., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Pandey, V., Paolone, V., Papadopoulou, A., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Rochester, L., Ross-Lonergan, M., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Sword-Fehlberg, S., Szelc, A. M., Tagg, N., Tang, W., Terao, K., Thomson, M., Thorn, C., 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., Wierman, K., Williams, Z., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yarbrough, G., Yates, L. E., Yu, B., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment
Abstract: We describe the concept and procedure of drifted-charge extraction developed in the MicroBooNE experiment, a single-phase liquid argon time projection chamber (LArTPC). This technique converts the raw digitized TPC waveform to the number of ionization electrons passing through a wire plane at a given time. A robust recovery of the number of ionization electrons from both induction and collection anode wire planes will augment the 3D reconstruction, and is particularly important for tomographic reconstruction algorithms. A number of building blocks of the overall procedure are described. The performance of the signal processing is quantitatively evaluated by comparing extracted charge with the true charge through a detailed TPC detector simulation taking into account position-dependent induced current inside a single wire region and across multiple wires. Some areas for further improvement of the performance of the charge extraction procedure are also discussed., Comment: 60 pages, 36 figures. The second part of this work can be found at arXiv:1804.02583
Published: 2018
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36. Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

Author: MicroBooNE collaboration, Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Bullard, B., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadon, J. I., De Geronimo, G., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fadeeva, A. A., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., Hourlier, A., Huang, E. -C., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, S., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Rescia, S., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Smith, A., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Thorn, C., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van De Pontseele, W., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Yu, B., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The low-noise operation of readout electronics in a liquid argon time projection chamber (LArTPC) is critical to properly extract the distribution of ionization charge deposited on the wire planes of the TPC, especially for the induction planes. This paper describes the characteristics and mitigation of the observed noise in the MicroBooNE detector. The MicroBooNE's single-phase LArTPC comprises two induction planes and one collection sense wire plane with a total of 8256 wires. Current induced on each TPC wire is amplified and shaped by custom low-power, low-noise ASICs immersed in the liquid argon. The digitization of the signal waveform occurs outside the cryostat. Using data from the first year of MicroBooNE operations, several excess noise sources in the TPC were identified and mitigated. The residual equivalent noise charge (ENC) after noise filtering varies with wire length and is found to be below 400 electrons for the longest wires (4.7 m). The response is consistent with the cold electronics design expectations and is found to be stable with time and uniform over the functioning channels. This noise level is significantly lower than previous experiments utilizing warm front-end electronics., Comment: 36 pages, 20 figures
Published: 2017
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37. Michel Electron Reconstruction Using Cosmic-Ray Data from the MicroBooNE LArTPC

Author: MicroBooNE collaboration, Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Bugel, L., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., Huang, E. -C., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K. A., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The MicroBooNE liquid argon time projection chamber (LArTPC) has been taking data at Fermilab since 2015 collecting, in addition to neutrino beam, cosmic-ray muons. Results are presented on the reconstruction of Michel electrons produced by the decay at rest of cosmic-ray muons. Michel electrons are abundantly produced in the TPC, and given their well known energy spectrum can be used to study MicroBooNE's detector response to low-energy electrons (electrons with energies up to ~50 MeV). We describe the fully-automated algorithm developed to reconstruct Michel electrons, with which a sample of ~14,000 Michel electron candidates is obtained. Most of this article is dedicated to studying the impact of radiative photons produced by Michel electrons on the accuracy and resolution of their energy measurement. In this energy range, ionization and bremsstrahlung photon production contribute similarly to electron energy loss in argon, leading to a complex electron topology in the TPC. By profiling the performance of the reconstruction algorithm on simulation we show that the ability to identify and include energy deposited by radiative photons leads to a significant improvement in the energy measurement of low-energy electrons. The fractional energy resolution we measure improves from over 30% to ~20% when we attempt to include radiative photons in the reconstruction. These studies are relevant to a large number of analyses which aim to study neutrinos by measuring electrons produced by $\nu_e$ interactions over a broad energy range.
Published: 2017
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38. Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

Author: MicroBooNE collaboration, Abratenko, P., Acciarri, R., Adams, C., An, R., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Bugel, L., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., Huang, E. -C., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Jones, B. J. P., Joshi, J., Jostlein, H., Kaleko, D., Kalousis, L. N., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van de Water, R. G., Viren, B., Weber, M., Weston, J., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: We discuss a technique for measuring a charged particle's momentum by means of multiple Coulomb scattering (MCS) in the MicroBooNE liquid argon time projection chamber (LArTPC). This method does not require the full particle ionization track to be contained inside of the detector volume as other track momentum reconstruction methods do (range-based momentum reconstruction and calorimetric momentum reconstruction). We motivate use of this technique, describe a tuning of the underlying phenomenological formula, quantify its performance on fully contained beam-neutrino-induced muon tracks both in simulation and in data, and quantify its performance on exiting muon tracks in simulation. Using simulation, we have shown that the standard Highland formula should be re-tuned specifically for scattering in liquid argon, which significantly improves the bias and resolution of the momentum measurement. With the tuned formula, we find agreement between data and simulation for contained tracks, with a small bias in the momentum reconstruction and with resolutions that vary as a function of track length, improving from about 10% for the shortest (one meter long) tracks to 5% for longer (several meter) tracks. For simulated exiting muons with at least one meter of track contained, we find a similarly small bias, and a resolution which is less than 15% for muons with momentum below 2 GeV/c. Above 2 GeV/c, results are given as a first estimate of the MCS momentum measurement capabilities of MicroBooNE for high momentum exiting tracks.
Published: 2017
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39. Design and Construction of the MicroBooNE Detector

Author: MicroBooNE Collaboration, Acciarri, R., Adams, C., An, R., Aparicio, A., Aponte, S., Asaadi, J., Auger, M., Ayoub, N., Bagby, L., Baller, B., Barger, R., Barr, G., Bass, M., Bay, F., Biery, K., Bishai, M., Blake, A., Bocean, V., Boehnlein, D., Bogert, V. D., Bolton, T., Bugel, L., Callahan, C., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chappa, S., Chen, H., Chen, K., Chi, C. Y., Chiu, C. S., Church, E., Cianci, D., Collin, G. H., Conrad, J. M., Convery, M., Cornele, J., Cowan, P., Crespo-Anadon, J. I., Crutcher, G., Darve, C., Davis, R., Del Tutto, M., Devitt, D., Duffin, S., Dytman, S., Eberly, B., Ereditato, A., Erickson, D., Sanchez, L. Escudero, Esquivel, J., Farooq, S., Farrell, J., Featherston, D., Fleming, B. T., Foreman, W., Furmanski, A. P., Genty, V., Geynisman, M., Goeldi, D., Goff, B., Gollapinni, S., Graf, N., Gramellini, E., Green, J., Greene, A., Greenlee, H., Griffin, T., Grosso, R., Guenette, R., Hackenburg, A., Haenni, R., Hamilton, P., Healey, P., Hen, O., Henderson, E., Hewes, V, Hill, C., Hill, K., Himes, L., Ho, J., Horton-Smith, G., Huffman, D., Ignarra, C. M., James, C., James, E., de Vries, J. Jan, Jaskierny, W., Jen, C. M., Jiang, L., Johnson, B., Johnson, M., Johnson, R. A., Jones, B. J. P., Joshi, J., Jostlein, H., Kaleko, D., Kalousis, L. N., Karagiorgi, G., Katori, T., Kellogg, P., Ketchum, W., Kilmer, J., King, B., Kirby, B., Kirby, M., Klein, E., Kobilarcik, T., Kreslo, I., Krull, R., Kubinski, R., Lange, G., Lanni, F., Lathrop, A., Laube, A., Lee, W. M., Li, Y., Lissauer, D., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Lukhanin, G., Luethi, M., Lundberg, B., Luo, X., Mahler, G., Majoros, I., Makowiecki, D., Marchionni, A., Mariani, C., Markley, D., Marshall, J., Caicedo, D. A. Martinez, McDonald, K. T., McKee, D., McLean, A., Mead, J., Meddage, V., Miceli, T., Mills, G. B., Miner, W., Moon, J., Mooney, M., Moore, C. D., Moss, Z., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Norris, B., Norton, N., Nowak, J., OBoyle, M., Olszanowski, T., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Pelkey, R., Phipps, M., Pordes, S., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Rameika, R. A, Rebel, B., Rechenmacher, R., Rescia, S., Rochester, L., von Rohr, C. Rudolf, Ruga, A., Russell, B., Sanders, R., Sands III, W. R., Sarychev, M., Schmitz, D. W., Schukraft, A., Scott, R., Seligman, W., Shaevitz, M. H., Shoun, M., Sinclair, J., Sippach, W., Smidt, T., Smith, A., Snider, E. L., Soderberg, M., Solano-Gonzalez, M., Soldner-Rembold, S., Soleti, S. R., Sondericker, J., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K., Szelc, A. M., Taheri, K., Tagg, N., Tatum, K., Teng, J., Terao, K., Thomson, M., Thorn, C., Tillman, J., Toups, M., Tsai, Y. T., Tufanli, S., Usher, T., Utes, M., Van de Water, R. G., Vendetta, C., Vergani, S., Voirin, E., Voirin, J., Viren, B., Watkins, P., Weber, M., Wester, T., Weston, J., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Wu, K. C., Yang, T., Yu, B., Zeller, G. P., Zennamo, J., Zhang, C., and Zuckerbrot, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline Neutrino program, located at Fermilab, and will utilize the capabilities of liquid argon detectors to examine a rich assortment of physics topics. In this document details of design specifications, assembly procedures, and acceptance tests are reported.
Published: 2016
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40. A Novel Cosmic Ray Tagger System for Liquid Argon TPC Neutrino Detectors

Author: Auger, M., Del Tutto, M., Ereditato, A., Fleming, B., Goeldi, D., Gramellini, E., Guenette, R., Ketchum, W., Kreslo, I., Laube, A., Lorca, D., Luethi, M., von Rohr, C. Rudolf, Sinclair, J. R., Soleti, S. R., and Weber, M.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: The Fermilab Short Baseline Neutrino (SBN) program aims to observe and reconstruct thousands of neutrino-argon interactions with its three detectors (SBND, MicroBooNE and ICARUS-T600), using their hundred of tonnes Liquid Argon Time Projection Chambers to perform a rich physics analysis program, in particular focused in the search for sterile neutrinos. Given the relatively shallow depth of the detectors, the continuos flux of cosmic ray particles which crossing their volumes introduces a constant background which can be falsely identified as part of the event of interest. Here we present the Cosmic Ray Tagger (CRT) system, a novel technique to tag and identify these crossing particles using scintillation modules which measure their time and coordinates relative to events internal to the neutrino detector, mitigating therefore their effect in the event tracking reconstruction.
Published: 2016

41. Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber

Author: MicroBooNE collaboration, Acciarri, R., Adams, C., An, R., Asaadi, J., Auger, M., Bagby, L., Baller, B., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Bugel, L., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadón, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fleming, B. T., Foreman, W., Furmanski, A. P., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Jones, B. J. P., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Snider, E. L., Soderberg, M., Söldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van de Water, R. G., Viren, B., Weber, M., Weston, J., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract: We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. We also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level.
Published: 2016
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42. First measurement of muon-neutrino disappearance in NOvA

Author: Adamson, P., Ader, C., Andrews, M., Anfimov, N., Anghel, I., Arms, K., Arrieta-Diaz, E., Aurisano, A., Ayres, D., Backhouse, C., Baird, M., Bambah, B. A., Bays, K., Bernstein, R., Betancourt, M., Bhatnagar, V., Bhuyan, B., Bian, J., Biery, K., Blackburn, T., Bocean, V., Bogert, D., Bolshakova, A., Bowden, M., Bower, C., Broemmelsiek, D., Bromberg, C., Brunetti, G., Bu, X., Butkevich, A., Capista, D., Catano-Mur, E., Chase, T. R., Childress, S., Choudhary, B. C., Chowdhury, B., Coan, T. E., Coelho, J. A. B., Colo, M., Cooper, J., Corwin, L., Cronin-Hennessy, D., Cunningham, A., Davies, G. S., Davies, J. P., Del Tutto, M., Derwent, P. F., Deepthi, K. N., Demuth, D., Desai, S., Deuerling, G., Devan, A., Dey, J., Dharmapalan, R., Ding, P., Dixon, S., Djurcic, Z., Dukes, E. C., Duyang, H., Ehrlich, R., Feldman, G. J., Felt, N., Fenyves, E. J., Flumerfelt, E., Foulkes, S., Frank, M. J., Freeman, W., Gabrielyan, M., Gallagher, H. R., Gebhard, M., Ghosh, T., Gilbert, W., Giri, A., Goadhouse, S., Gomes, R. A., Goodenough, L., Goodman, M. C., Grichine, V., Grossman, N., Group, R., Grudzinski, J., Guarino, V., Guo, B., Habig, A., Handler, T., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Howcroft, C., Huang, J., Huang, X., Hylen, J., Ishitsuka, M., Jediny, F., Jensen, C., Jensen, D., Johnson, C., Jostlein, H., Kafka, G. K., Kamyshkov, Y., Kasahara, S. M. S., Kasetti, S., Kephart, K., Koizumi, G., Kotelnikov, S., Kourbanis, I., Krahn, Z., Kravtsov, V., Kreymer, A., Kulenberg, Ch., Kumar, A., Kutnink, T., Kwarciancy, R., Kwong, J., Lang, K., Lee, A., Lee, W. M., Lee, K., Lein, S., Liu, J., Lokajicek, M., Lozier, J., Lu, Q., Lucas, P., Luchuk, S., Lukens, P., Lukhanin, G., Magill, S., Maan, K., Mann, W. A., Marshak, M. L., Martens, M., Martincik, J., Mason, P., Matera, K., Mathis, M., Matveev, V., Mayer, N., McCluskey, E., Mehdiyev, R., Merritt, H., Messier, M. D., Meyer, H., Miao, T., Michael, D., Mikheyev, S. P., Miller, W. H., Mishra, S. R., Mohanta, R., Moren, A., Mualem, L., Muether, M., Mufson, S., Musser, J., Newman, H. B., Nelson, J. K., Niner, E., Norman, A., Nowak, J., Oksuzian, Y., Olshevskiy, A., Oliver, J., Olson, T., Paley, J., Pandey, P., Para, A., Patterson, R. B., Pawloski, G., Pearson, N., Perevalov, D., Pershey, D., Peterson, E., Petti, R., Phan-Budd, S., Piccoli, L., Pla-Dalmau, A., Plunkett, R. K., Poling, R., Potukuchi, B., Psihas, F., Pushka, D., Qiu, X., Raddatz, N., Radovic, A., Rameika, R. A., Ray, R., Rebel, B., Rechenmacher, R., Reed, B., Reilly, R., Rocco, D., Rodkin, D., Ruddick, K., Rusack, R., Ryabov, V., Sachdev, K., Sahijpal, S., Sahoo, H., Samoylov, O., Sanchez, M. C., Saoulidou, N., Schlabach, P., Schneps, J., Schroeter, R., Sepulveda-Quiroz, J., Shanahan, P., Sherwood, B., Sheshukov, A., Singh, J., Singh, V., Smith, A., Smith, D., Smolik, J., Solomey, N., Sotnikov, A., Sousa, A., Soustruznik, K., Stenkin, Y., Strait, M., Suter, L., Talaga, R. L., Tamsett, M. C., Tariq, S., Tas, P., Tesarek, R. J., Thayyullathil, R. B., Thomsen, K., Tian, X., Tognini, S. C., Toner, R., Trevor, J., Tzanakos, G., Urheim, J., Vahle, P., Valerio, L., Vinton, L., Vrba, T., Waldron, A. V., Wang, B., Wang, Z., Weber, A., Wehmann, A., Whittington, D., Wilcer, N., Wildberger, R., Wildman, D., Williams, K., Wojcicki, S. G., Wood, K., Xiao, M., Xin, T., Yadav, N., Yang, S., Zadorozhnyy, S., Zalesak, J., Zamorano, B., Zhao, A., Zirnstein, J., and Zwaska, R.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: This paper reports the first measurement using the NOvA detectors of $\nu_\mu$ disappearance in a $\nu_\mu$ beam. The analysis uses a 14 kton-equivalent exposure of $2.74 \times 10^{20}$ protons-on-target from the Fermilab NuMI beam. Assuming the normal neutrino mass hierarchy, we measure $\Delta m^{2}_{32}=(2.52^{+0.20}_{-0.18})\times 10^{-3}$ eV$^{2}$ and $\sin^2\theta_{23}$ in the range 0.38-0.65, both at the 68% confidence level, with two statistically-degenerate best fit points at $\sin^2\theta_{23} = $ 0.43 and 0.60. Results for the inverted mass hierarchy are also presented., Comment: 8 pages, 6 figures. Submitted to Phys. Rev. D Rapid Communications
Published: 2016
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43. First measurement of electron neutrino appearance in NOvA

Author: Adamson, P., Ader, C., Andrews, M., Anfimov, N., Anghel, I., Arms, K., Arrieta-Diaz, E., Aurisano, A., Ayres, D. S., Backhouse, C., Baird, M., Bambah, B. A., Bays, K., Bernstein, R., Betancourt, M., Bhatnagar, V., Bhuyan, B., Bian, J., Biery, K., Blackburn, T., Bocean, V., Bogert, D., Bolshakova, A., Bowden, M., Bower, C., Broemmelsiek, D., Bromberg, C., Brunetti, G., Bu, X., Butkevich, A., Capista, D., Catano-Mur, E., Chase, T. R., Childress, S., Choudhary, B. C., Chowdhury, B., Coan, T. E., Coelho, J. A. B., Colo, M., Cooper, J., Corwin, L., Cronin-Hennessy, D., Cunningham, A., Davies, G. S., Davies, J. P., Del Tutto, M., Derwent, P. F., Deepthi, K. N., Demuth, D., Desai, S., Deuerling, G., Devan, A., Dey, J., Dharmapalan, R., Ding, P., Dixon, S., Djurcic, Z., Dukes, E. C., Duyang, H., Ehrlich, R., Feldman, G. J., Felt, N., Fenyves, E. J., Flumerfelt, E., Foulkes, S., Frank, M. J., Freeman, W., Gabrielyan, M., Gallagher, H. R., Gebhard, M., Ghosh, T., Gilbert, W., Giri, A., Goadhouse, S., Gomes, R. A., Goodenough, L., Goodman, M. C., Grichine, V., Grossman, N., Group, R., Grudzinski, J., Guarino, V., Guo, B., Habig, A., Handler, T., Hartnell, J., Hatcher, R., Hatzikoutelis, A., Heller, K., Howcroft, C., Huang, J., Huang, X., Hylen, J., Ishitsuka, M., Jediny, F., Jensen, C., Jensen, D., Johnson, C., Jostlein, H., Kafka, G. K., Kamyshkov, Y., Kasahara, S. M. S., Kasetti, S., Kephart, K., Koizumi, G., Kotelnikov, S., Kourbanis, I., Krahn, Z., Kravtsov, V., Kreymer, A., Kulenberg, Ch., Kumar, A., Kutnink, T., Kwarciancy, R., Kwong, J., Lang, K., Lee, A., Lee, W. M., Lee, K., Lein, S., Liu, J., Lokajicek, M., Lozier, J., Lu, Q., Lucas, P., Luchuk, S., Lukens, P., Lukhanin, G., Magill, S., Maan, K., Mann, W. A., Marshak, M. L., Martens, M., Martincik, J., Mason, P., Matera, K., Mathis, M., Matveev, V., Mayer, N., McCluskey, E., Mehdiyev, R., Merritt, H., Messier, M. D., Meyer, H., Miao, T., Michael, D., Mikheyev, S. P., Miller, W. H., Mishra, S. R., Mohanta, R., Moren, A., Mualem, L., Muether, M., Mufson, S., Musser, J., Newman, H. B., Nelson, J. K., Niner, E., Norman, A., Nowak, J., Oksuzian, Y., Olshevskiy, A., Oliver, J., Olson, T., Paley, J., Pandey, P., Para, A., Patterson, R. B., Pawloski, G., Pearson, N., Perevalov, D., Pershey, D., Peterson, E., Petti, R., Phan-Budd, S., Piccoli, L., Pla-Dalmau, A., Plunkett, R. K., Poling, R., Potukuchi, B., Psihas, F., Pushka, D., Qiu, X., Raddatz, N., Radovic, A., Rameika, R. A., Ray, R., Rebel, B., Rechenmacher, R., Reed, B., Reilly, R., Rocco, D., Rodkin, D., Ruddick, K., Rusack, R., Ryabov, V., Sachdev, K., Sahijpal, S., Sahoo, H., Samoylov, O., Sanchez, M. C., Saoulidou, N., Schlabach, P., Schneps, J., Schroeter, R., Sepulveda-Quiroz, J., Shanahan, P., Sherwood, B., Sheshukov, A., Singh, J., Singh, V., Smith, A., Smith, D., Smolik, J., Solomey, N., Sotnikov, A., Sousa, A., Soustruznik, K., Stenkin, Y., Strait, M., Suter, L., Talaga, R. L., Tamsett, M. C., Tariq, S., Tas, P., Tesarek, R. J., Thayyullathil, R. B., Thomsen, K., Tian, X., Tognini, S. C., Toner, R., Trevor, J., Tzanakos, G., Urheim, J., Vahle, P., Valerio, L., Vinton, L., Vrba, T., Waldron, A. V., Wang, B., Wang, Z., Weber, A., Wehmann, A., Whittington, D., Wilcer, N., Wildberger, R., Wildman, D., Williams, K., Wojcicki, S. G., Wood, K., Xiao, M., Xin, T., Yadav, N., Yang, S., Zadorozhnyy, S., Zalesak, J., Zamorano, B., Zhao, A., Zirnstein, J., and Zwaska, R.
Subjects: High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract: We report results from the first search for $\nu_\mu\to\nu_e$ transitions by the NOvA experiment. In an exposure equivalent to $2.74\times10^{20}$ protons-on-target in the upgraded NuMI beam at Fermilab, we observe 6 events in the Far Detector, compared to a background expectation of $0.99\pm0.11$ (syst.) events based on the Near Detector measurement. A secondary analysis observes 11 events with a background of $1.07\pm0.14$ (syst.). The $3.3\sigma$ excess of events observed in the primary analysis disfavors $0.1\pi < \delta_{CP} < 0.5\pi$ in the inverted mass hierarchy at the 90% C.L., Comment: 7 pages, 4 figures. Minor updates to match version accepted by journal
Published: 2016
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44. Measurement of triple-differential inclusive muon-neutrino charged-current cross section on argon with the MicroBooNE detector

Author: Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, D., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Mastbaum, A., McConkey, N., Meddage, V., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Pophale, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment (hep-ex), Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), High Energy Physics - Experiment
Abstract: We report the first measurement of the differential cross section $d^{2}\sigma (E_{\nu})/ d\cos(\theta_{\mu}) dP_{\mu}$ for inclusive muon-neutrino charged-current scattering on argon. This measurement utilizes data from 6.4$\times10^{20}$ protons on target of exposure collected using the MicroBooNE liquid argon time projection chamber located along the Fermilab Booster Neutrino Beam with a mean neutrino energy of approximately 0.8~GeV. The mapping from reconstructed kinematics to truth quantities, particularly from reconstructed to true neutrino energy, is validated by comparing the distribution of reconstructed hadronic energy in data to that of the model prediction in different muon scattering angle bins after conditional constraint from the muon momentum distribution in data. The success of this validation gives confidence that the missing energy in the MicroBooNE detector is well-modeled in simulation, enabling the unfolding to a triple-differential measurement over muon momentum, muon scattering angle, and neutrino energy. The unfolded measurement covers an extensive phase space, providing a wealth of information useful for future liquid argon time projection chamber experiments measuring neutrino oscillations. Comparisons against a number of commonly used model predictions are included and their performance in different parts of the available phase-space is discussed.
Published: 2023

45. Measurement of ambient radon daughter decay rates and energy spectra in liquid argon using the MicroBooNE detector

Author: MicroBooNE collaboration, Abratenko, P., Alterkait, O., Aldana, D. Andrade, Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, D., Barrow, J., Basque, V., Rodrigues, O. Benevides, Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A., Bogart, B., Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. Caro, Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Cross, R., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Fleming, B. T., Foppiani, N., Foreman, W., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y. J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J. -Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Liu, H., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. Martinez, Martynenko, S., Mastbaum, A., McConkey, N., Meddage, V., Micallef, J., Miller, K., Mistry, K., Mohayai, T., Mogan, A., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. Mora, Moudgalya, M., Babu, S. Mulleria, Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I., Pophale, I., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. Rodriguez, Rosenberg, M., Ross-Lonergan, M., von Rohr, C. Rudolph, Safa, I., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., John, J. St., Strauss, T., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y. -T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J., and Zhang, C.
Subjects: High Energy Physics - Experiment (hep-ex), Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), High Energy Physics - Experiment
Abstract: We report measurements of radon daughters in liquid argon within the MicroBooNE time projection chamber (LArTPC). The presence of radon in MicroBooNE's 85 metric tons of active liquid argon bulk is probed with newly developed charge-based low-energy reconstruction tools and analysis techniques to detect correlated $^{214}$Bi-$^{214}$Po radioactive decays. Special datasets taken during periods of active radon doping enable new demonstrations of the calorimetric capabilities of single-phase neutrino LArTPCs for $\beta$ and $\alpha$ particles with electron-equivalent energies ranging from 0.1 to 3.0 MeV. By applying $^{214}$Bi-$^{214}$Po detection algorithms to beam-external physics data recorded over a 46-day period, no statistically significant presence of radon is detected, corresponding to a limit of $
Published: 2023
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46. 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, Physics - Instrumentation and Detectors, Time projection chamber, Pixel, 010308 nuclear & particles physics, business.industry, FOS: Physical sciences, Pattern recognition, Instrumentation and Detectors (physics.ins-det), 01 natural sciences, Convolutional neural network, High Energy Physics - Experiment, Image (mathematics), High Energy Physics - Experiment (hep-ex), 0103 physical sciences, Key (cryptography), Segmentation, Artificial intelligence, 010306 general physics, Projection (set theory), business, Event reconstruction
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: 2021
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47. 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 (hep-ex), Physics - Instrumentation and Detectors, Physics::Instrumentation and Detectors, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, High Energy Physics::Experiment, Instrumentation and Detectors (physics.ins-det), High Energy Physics - Experiment
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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48. 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, Physics::Instrumentation and Detectors, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, 01 natural sciences, High Energy Physics - Experiment, 030218 nuclear medicine & medical imaging, Atmosphere, Nuclear physics, High Energy Physics - Experiment (hep-ex), 03 medical and health sciences, 0302 clinical medicine, 0103 physical sciences, Angular resolution, Fermilab, Instrumentation, Mathematical Physics, Physics, Time projection chamber, Muon, COSMIC cancer database, 010308 nuclear & particles physics, Detector, Astrophysics::Instrumentation and Methods for Astrophysics, Instrumentation and Detectors (physics.ins-det), Liquid argon, 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., 20 pages, 14 figures
Published: 2021
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49. Michel electron reconstruction using cosmic-ray data from the MicroBooNE LArTPC

Author: MicroBooNE Collaboration, Acciarri, R., Adams, C., An, R., Anthony, J., Asaadi, J., Auger, M., Bagby, L., Balasubramanian, S., Baller, B., Barnes, C., Barr, G., Bass, M., Bay, F., Bishai, M., Blake, A., Bolton, T., Bugel, L., Camilleri, L., Caratelli, D., Carls, B., Fernandez, R. Castillo, Cavanna, F., Chen, H., Church, E., Cianci, D., Cohen, E., Collin, G. H., Conrad, J. M., Convery, M., Crespo-Anadon, J. I., Del Tutto, M., Devitt, D., Dytman, S., Eberly, B., Ereditato, A., Sanchez, L. Escudero, Esquivel, J., Fleming, B. T., Foreman, W., Furmanski, A. P., Garcia-Gamez, D., Garvey, G. T., Genty, V., Goeldi, D., Gollapinni, S., Graf, N., Gramellini, E., Greenlee, H., Grosso, R., Guenette, R., Hackenburg, A., Hamilton, P., Hen, O., Hewes, V, Hill, C., Ho, J., Horton-Smith, G., Huang, E. -C., James, C., de Vries, J. Jan, Jen, C. -M., Jiang, L., Johnson, R. A., Joshi, J., Jostlein, H., Kaleko, D., Karagiorgi, G., Ketchum, W., Kirby, B., Kirby, M., Kobilarcik, T., Kreslo, I., Laube, A., Li, Y., Lister, A., Littlejohn, B. R., Lockwitz, S., Lorca, D., Louis, W. C., Luethi, M., Lundberg, B., Luo, X., Marchionni, A., Mariani, C., Marshall, J., Caicedo, D. A. Martinez, Meddage, V., Miceli, T., Mills, G. B., Moon, J., Mooney, M., Moore, C. D., Mousseau, J., Murrells, R., Naples, D., Nienaber, P., Nowak, J., Palamara, O., Paolone, V., Papavassiliou, V., Pate, S. F., Pavlovic, Z., Piasetzky, E., Porzio, D., Pulliam, G., Qian, X., Raaf, J. L., Rafique, A., Rochester, L., von Rohr, C. Rudolf, Russell, B., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sinclair, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Soleti, S. R., Spentzouris, P., Spitz, J., John, J. St., Strauss, T., Sutton, K. A., Szelc, A. M., Tagg, N., Terao, K., Thomson, M., Toups, M., Tsai, Y. -T., Tufanli, S., Usher, T., Van de Water, R. G., Viren, B., Weber, M., Wickremasinghe, D. A., Wolbers, S., Wongjirad, T., Woodruff, K., Yang, T., Yates, L., Zeller, G. P., Zennamo, J., Zhang, C., Moon, Jarrett S., Conrad, Janet Marie, Hen, Or, and Yates, Lauren Elizabeth
Subjects: Physics - Instrumentation and Detectors, Physics::Instrumentation and Detectors, Time projection chambers, FOS: Physical sciences, Cosmic ray, Electron, Neutrino detectors, Noble liquid detectors (scintillation, ionization, double-phase), Performance of High Energy Physics Detectors, 01 natural sciences, High Energy Physics - Experiment, Nuclear physics, High Energy Physics - Experiment (hep-ex), Noble liquid detectors (scintillation, Ionization, ionization, 0103 physical sciences, Fermilab, 010306 general physics, Instrumentation, Mathematical Physics, Physics, Range (particle radiation), Time projection chamber, Muon, 010308 nuclear & particles physics, Instrumentation and Detectors (physics.ins-det), double-phase), High Energy Physics::Experiment, Neutrino
Abstract: The MicroBooNE liquid argon time projection chamber (LArTPC) has been taking data at Fermilab since 2015 collecting, in addition to neutrino beam, cosmic-ray muons. Results are presented on the reconstruction of Michel electrons produced by the decay at rest of cosmic-ray muons. Michel electrons are abundantly produced in the TPC, and given their well known energy spectrum can be used to study MicroBooNE's detector response to low-energy electrons (electrons with energies up to ∼ 50 MeV). We describe the fully-automated algorithm developed to reconstruct Michel electrons, with which a sample of ∼ 14,000 Michel electron candidates is obtained. Most of this article is dedicated to studying the impact of radiative photons produced by Michel electrons on the accuracy and resolution of their energy measurement. In this energy range, ionization and bremsstrahlung photon production contribute similarly to electron energy loss in argon, leading to a complex electron topology in the TPC. By profiling the performance of the reconstruction algorithm on simulation we show that the ability to identify and include energy deposited by radiative photons leads to a significant improvement in the energy measurement of low-energy electrons. The fractional energy resolution we measure improves from over 30% to ∼ 20% when we attempt to include radiative photons in the reconstruction. These studies are relevant to a large number of analyses which aim to study neutrinos by measuring electrons produced by ν e interactions over a broad energy range. Keywords: Michel electrons, LArTPC, MicroBooNE
Published: 2018

50. First measurement of muon-neutrino disappearance in NOvA

Author: Adamson, P, Ader, C, Andrews, M, Anfimov, N, Anghel, I, Arms, K, Arrieta-Diaz, E, Aurisano, A, Ayres, DS, Backhouse, C, Baird, M, Bambah, BA, Bays, K, Bernstein, R, Betancourt, M, Bhatnagar, V, Bhuyan, B, Bian, J, Biery, K, Blackburn, T, Bocean, V, Bogert, D, Bolshakova, A, Bowden, M, Bower, C, Broemmelsiek, D, Bromberg, C, Brunetti, G, Bu, X, Butkevich, A, Capista, D, Catano-Mur, E, Chase, TR, Childress, S, Choudhary, BC, Chowdhury, B, Coan, TE, Coelho, JAB, Colo, M, Cooper, J, Corwin, L, Cronin-Hennessy, D, Cunningham, A, Davies, GS, Davies, JP, Del Tutto, M, Derwent, PF, Deepthi, KN, Demuth, D, Desai, S, Deuerling, G, Devan, A, Dey, J, Dharmapalan, R, Ding, P, Dixon, S, Djurcic, Z, Dukes, EC, Duyang, H, Ehrlich, R, Feldman, GJ, Felt, N, Fenyves, EJ, Flumerfelt, E, Foulkes, S, Frank, MJ, Freeman, W, Gabrielyan, M, Gallagher, HR, Gebhard, M, Ghosh, T, Gilbert, W, Giri, A, Goadhouse, S, Gomes, RA, Goodenough, L, Goodman, MC, Grichine, V, Grossman, N, Group, R, Grudzinski, J, Guarino, V, Guo, B, Habig, A, Handler, T, Hartnell, J, Hatcher, R, Hatzikoutelis, A, Heller, K, Howcroft, C, Huang, J, Huang, X, Hylen, J, Ishitsuka, M, Jediny, F, Jensen, C, Jensen, D, Johnson, C, Jostlein, H, Kafka, GK, Kamyshkov, Y, Kasahara, SMS, Kasetti, S, Kephart, K, Koizumi, G, Kotelnikov, S, Kourbanis, I, Krahn, Z, Kravtsov, V, Kreymer, A, Kulenberg, C, Kumar, A, Kutnink, T, Kwarciancy, R, Kwong, J, Lang, K, Lee, A, Lee, WM, Lee, K, Lein, S, Liu, J, Lokajicek, M, Lozier, J, Lu, Q, Lucas, P, Luchuk, S, Lukens, P, Lukhanin, G, Magill, S, Maan, K, Mann, WA, Marshak, ML, Martens, M, Martincik, J, Mason, P, Matera, K, Mathis, M, Matveev, V, Mayer, N, McCluskey, E, Mehdiyev, R, Merritt, H, Messier, MD, Meyer, H, Miao, T, Michael, D, Mikheyev, SP, Miller, WH, Mishra, SR, Mohanta, R, Moren, A, Mualem, L, Muether, M, Mufson, S, Musser, J, Newman, HB, Nelson, JK, Niner, E, Norman, A, Nowak, J, Oksuzian, Y, Olshevskiy, A, Oliver, J, Olson, T, Paley, J, Pandey, P, Para, A, Patterson, RB, Pawloski, G, Pearson, N, Perevalov, D, Pershey, D, Peterson, E, Petti, R, Phan-Budd, S, Piccoli, L, Pla-Dalmau, A, Plunkett, RK, Poling, R, Potukuchi, B, Psihas, F, Pushka, D, Qiu, X, Raddatz, N, Radovic, A, Rameika, RA, Ray, R, Rebel, B, Rechenmacher, R, Reed, B, Reilly, R, Rocco, D, Rodkin, D, Ruddick, K, Rusack, R, Ryabov, V, Sachdev, K, Sahijpal, S, Sahoo, H, Samoylov, O, Sanchez, MC, Saoulidou, N, Schlabach, P, Schneps, J, Schroeter, R, Sepulveda-Quiroz, J, Shanahan, P, Sherwood, B, Sheshukov, A, Singh, J, Singh, V, Smith, A, Smith, D, Smolik, J, Solomey, N, Sotnikov, A, Sousa, A, Soustruznik, K, Stenkin, Y, Strait, M, Suter, L, Talaga, RL, Tamsett, MC, Tariq, S, Tas, P, Tesarek, RJ, Thayyullathil, RB, Thomsen, K, Tian, X, Tognini, SC, Toner, R, Trevor, J, Tzanakos, G, Urheim, J, Vahle, P, Valerio, L, Vinton, L, Vrba, T, Waldron, AV, Wang, B, Wang, Z, Weber, A, Wehmann, A, Whittington, D, Wilcer, N, Wildberger, R, Wildman, D, Williams, K, Wojcicki, SG, Wood, K, Xiao, M, Xin, T, Yadav, N, Yang, S, Zadorozhnyy, S, Zalesak, J, Zamorano, B, Zhao, A, Zirnstein, J, Zwaska, R, Adamson, P, Ader, C, Andrews, M, Anfimov, N, Anghel, I, Arms, K, Arrieta-Diaz, E, Aurisano, A, Ayres, D, Backhouse, C, Baird, M, Bambah, B, Bays, K, Bernstein, R, Betancourt, M, Bhatnagar, V, Bhuyan, B, Bian, J, Biery, K, Blackburn, T, Bocean, V, Bogert, D, Bolshakova, A, Bowden, M, Bower, C, Broemmelsiek, D, Bromberg, C, Brunetti, G, Bu, X, Butkevich, A, Capista, D, Catano-Mur, E, Chase, T, Childress, S, Choudhary, B, Chowdhury, B, Coan, T, Coelho, J, Colo, M, Cooper, J, Corwin, L, Cronin-Hennessy, D, Cunningham, A, Davies, G, Davies, J, Del Tutto, M, Derwent, P, Deepthi, K, Demuth, D, Desai, S, Deuerling, G, Devan, A, Dey, J, Dharmapalan, R, Ding, P, Dixon, S, Djurcic, Z, Dukes, E, Duyang, H, Ehrlich, R, Feldman, G, Felt, N, Fenyves, E, Flumerfelt, E, Foulkes, S, Frank, M, Freeman, W, Gabrielyan, M, Gallagher, H, Gebhard, M, Ghosh, T, Gilbert, W, Giri, A, Goadhouse, S, Gomes, R, Goodenough, L, Goodman, M, Grichine, V, Grossman, N, Group, R, Grudzinski, J, Guarino, V, Guo, B, Habig, A, Handler, T, Hartnell, J, Hatcher, R, Hatzikoutelis, A, Heller, K, Howcroft, C, Huang, J, Huang, X, Hylen, J, Ishitsuka, M, Jediny, F, Jensen, C, Jensen, D, Johnson, C, Jostlein, H, Kafka, G, Kamyshkov, Y, Kasahara, S, Kasetti, S, Kephart, K, Koizumi, G, Kotelnikov, S, Kourbanis, I, Krahn, Z, Kravtsov, V, Kreymer, A, Kulenberg, C, Kumar, A, Kutnink, T, Kwarciancy, R, Kwong, J, Lang, K, Lee, A, Lee, W, Lee, K, Lein, S, Liu, J, Lokajicek, M, Lozier, J, Lu, Q, Lucas, P, Luchuk, S, Lukens, P, Lukhanin, G, Magill, S, Maan, K, Mann, W, Marshak, M, Martens, M, Martincik, J, Mason, P, Matera, K, Mathis, M, Matveev, V, Mayer, N, Mccluskey, E, Mehdiyev, R, Merritt, H, Messier, M, Meyer, H, Miao, T, Michael, D, Mikheyev, S, Miller, W, Mishra, S, Mohanta, R, Moren, A, Mualem, L, Muether, M, Mufson, S, Musser, J, Newman, H, Nelson, J, Niner, E, Norman, A, Nowak, J, Oksuzian, Y, Olshevskiy, A, Oliver, J, Olson, T, Paley, J, Pandey, P, Para, A, Patterson, R, Pawloski, G, Pearson, N, Perevalov, D, Pershey, D, Peterson, E, Petti, R, Phan-Budd, S, Piccoli, L, Pla-Dalmau, A, Plunkett, R, Poling, R, Potukuchi, B, Psihas, F, Pushka, D, Qiu, X, Raddatz, N, Radovic, A, Rameika, R, Ray, R, Rebel, B, Rechenmacher, R, Reed, B, Reilly, R, Rocco, D, Rodkin, D, Ruddick, K, Rusack, R, Ryabov, V, Sachdev, K, Sahijpal, S, Sahoo, H, Samoylov, O, Sanchez, M, Saoulidou, N, Schlabach, P, Schneps, J, Schroeter, R, Sepulveda-Quiroz, J, Shanahan, P, Sherwood, B, Sheshukov, A, Singh, J, Singh, V, Smith, A, Smith, D, Smolik, J, Solomey, N, Sotnikov, A, Sousa, A, Soustruznik, K, Stenkin, Y, Strait, M, Suter, L, Talaga, R, Tamsett, M, Tariq, S, Tas, P, Tesarek, R, Thayyullathil, R, Thomsen, K, Tian, X, Tognini, S, Toner, R, Trevor, J, Tzanakos, G, Urheim, J, Vahle, P, Valerio, L, Vinton, L, Vrba, T, Waldron, A, Wang, B, Wang, Z, Weber, A, Wehmann, A, Whittington, D, Wilcer, N, Wildberger, R, Wildman, D, Williams, K, Wojcicki, S, Wood, K, Xiao, M, Xin, T, Yadav, N, Yang, S, Zadorozhnyy, S, Zalesak, J, Zamorano, B, Zhao, A, Zirnstein, J, and Zwaska, R
Subjects: Physics, Particle physics, Physics - Instrumentation and Detectors, 010308 nuclear & particles physics, FOS: Physical sciences, QC0793, Nova (laser), Instrumentation and Detectors (physics.ins-det), 01 natural sciences, Measure (mathematics), NuMI, NOvA, neutrino oscillation, High Energy Physics - Experiment, Nuclear physics, High Energy Physics - Experiment (hep-ex), 0103 physical sciences, Muon neutrino, Fermilab, Neutrino, 010306 general physics, Neutrino oscillation, Beam (structure)
Abstract: This paper reports the first measurement using the NOvA detectors of $\nu_\mu$ disappearance in a $\nu_\mu$ beam. The analysis uses a 14 kton-equivalent exposure of $2.74 \times 10^{20}$ protons-on-target from the Fermilab NuMI beam. Assuming the normal neutrino mass hierarchy, we measure $\Delta m^{2}_{32}=(2.52^{+0.20}_{-0.18})\times 10^{-3}$ eV$^{2}$ and $\sin^2\theta_{23}$ in the range 0.38-0.65, both at the 68% confidence level, with two statistically-degenerate best fit points at $\sin^2\theta_{23} = $ 0.43 and 0.60. Results for the inverted mass hierarchy are also presented., Comment: 8 pages, 6 figures. Submitted to Phys. Rev. D Rapid Communications
Published: 2016
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