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1. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay

Author

An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, Y-C, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Dugas, KV, Duyang, HY, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Han, Y, Hans, S, He, M, Heeger, KM, Heng, YK, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, JH, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, HL, Li, JJ, Li, QJ, Li, RH, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, JX, Lu, C, Lu, HQ, and Luk, KB

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Nuclear Reactors, Uranium, Daya Bay Collaboration, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.

Published
2023

2. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay

Author

An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Chen, ZY, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Ding, XY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Duyang, HY, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Han, Y, Hans, S, He, M, Heeger, KM, Heng, YK, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, JH, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, HL, Li, JJ, Li, QJ, Li, RH, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, JX, Lu, C, Lu, HQ, Luk, KB, and Z., B

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Daya Bay Collaboration, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3}  eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3}  eV^{2} for the inverted mass ordering.

Published
2023

3. First Measurement of High-Energy Reactor Antineutrinos at Daya Bay

Author

An, FP, Bai, WD, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, HY, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, JH, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, HL, Li, JJ, Li, QJ, Li, RH, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, JX, Lu, C, Lu, HQ, Luk, KB, Z., B, B., X, Y., X, Q., Y, and Mandujano, RC

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, Affordable and Clean Energy, Daya Bay Collaboration, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

This Letter reports the first measurement of high-energy reactor antineutrinos at Daya Bay, with nearly 9000 inverse beta decay candidates in the prompt energy region of 8-12 MeV observed over 1958 days of data collection. A multivariate analysis is used to separate 2500 signal events from background statistically. The hypothesis of no reactor antineutrinos with neutrino energy above 10 MeV is rejected with a significance of 6.2 standard deviations. A 29% antineutrino flux deficit in the prompt energy region of 8-11 MeV is observed compared to a recent model prediction. We provide the unfolded antineutrino spectrum above 7 MeV as a data-based reference for other experiments. This result provides the first direct observation of the production of antineutrinos from several high-Q_{β} isotopes in commercial reactors.

Published
2022

4. Antineutrino energy spectrum unfolding based on the Daya Bay measurement and its applications * *Supported in part by the Ministry of Science and Technology of China, the U.S. Department of Energy, the Chinese Academy of Sciences, the CAS Center for Excellence in Particle Physics, the National Natural Science Foundation of China, the Guangdong provincial government, the Shenzhen municipal government, the China General Nuclear Power Group, the Research Grants Council of the Hong Kong Special Administrative Region of China, the Ministry of Education in TW, the U.S. National Science Foundation, the Ministry of Education, Youth, and Sports of the Czech Republic, the Charles University Research Centre UNCE, the Joint Institute of Nuclear Research in Dubna, Russia, the National Commission of Scientific and Technological Research of Chile

Author

An, FP, Balantekin, AB, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dolzhikov, D, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, JH, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, HL, Li, JJ, Li, QJ, Li, RH, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, JX, Lu, C, Lu, HQ, Luk, KB, Z., B, B., X, Y., X, Q., Y, and Mandujano, RC

Subjects
Nuclear and Plasma Physics, Synchrotrons and Accelerators, Physical Sciences, Affordable and Clean Energy, reactor antineutrino, energy spectrum, Daya Bay, application, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Nuclear & Particles Physics, Atomic, molecular and optical physics, Particle and high energy physics
Abstract

The prediction of reactor antineutrino spectra will play a crucial role as reactor experiments enter the precision era. The positron energy spectrum of 3.5 million antineutrino inverse beta decay reactions observed by the Daya Bay experiment, in combination with the fission rates of fissile isotopes in the reactor, is used to extract the positron energy spectra resulting from the fission of specific isotopes. This information can be used to produce a precise, data-based prediction of the antineutrino energy spectrum in other reactor antineutrino experiments with different fission fractions than Daya Bay. The positron energy spectra are unfolded to obtain the antineutrino energy spectra by removing the contribution from detector response with the Wiener-SVD unfolding method. Consistent results are obtained with other unfolding methods. A technique to construct a data-based prediction of the reactor antineutrino energy spectrum is proposed and investigated. Given the reactor fission fractions, the technique can predict the energy spectrum to a 2% precision. In addition, we illustrate how to perform a rigorous comparison between the unfolded antineutrino spectrum and a theoretical model prediction that avoids the input model bias of the unfolding method.

Published
2021

5. Search for electron-Antineutrinos associated with gravitational-wave events GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817 at Daya Bay

Author

An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Martinez Caicedo, DA, McDonald, KT, McKeown, RD, and Meng, Y

Subjects
gravitational waves, electron-antineutrinos, fluence, upper limit, astro-ph.HE, hep-ex, physics.ins-det, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Abstract

The establishment of a possible connection between neutrino emission and gravitational-wave (GW) bursts is important to our understanding of the physical processes that occur when black holes or neutron stars merge. In the Daya Bay experiment, using the data collected from December 2011 to August 2017, a search was performed for electron-Antineutrino signals that coincided with detected GW events, including GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817. We used three time windows of 10, 500, and 1000 s relative to the occurrence of the GW events and a neutrino energy range of 1.8 to 100 MeV to search for correlated neutrino candidates. The detected electron-Antineutrino candidates were consistent with the expected background rates for all the three time windows. Assuming monochromatic spectra, we found upper limits (90% confidence level) of the electron-Antineutrino fluence of (1.13-2.44)×1011 cm-2 at 5 MeV to 8.0×107 cm-2 at 100 MeV for the three time windows. Under the assumption of a Fermi-Dirac spectrum, the upper limits were found to be (5.4-7.0)×109 cm-2 for the three time windows.

Published
2021

6. Antineutrino Energy Spectrum Unfolding Based on the Daya Bay Measurement and Its Applications

Author

collaboration, Daya Bay, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvorak, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Lu, C, Lu, HQ, Lu, JS, Luk, KB, Ma, XB, Ma, XY, Ma, YQ, Marshall, C, Caicedo, DA Martinez, McDonald, KT, and McKeown, RD

Subjects
hep-ex, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Nuclear & Particles Physics, Atomic, molecular and optical physics, Particle and high energy physics
Abstract

The prediction of reactor antineutrino spectra will play a crucial role asreactor experiments enter the precision era. The positron energy spectrum of3.5 million antineutrino inverse beta decay reactions observed by the Daya Bayexperiment, in combination with the fission rates of fissile isotopes in thereactor, is used to extract the positron energy spectra resulting from thefission of specific isotopes. This information can be used to produce aprecise, data-based prediction of the antineutrino energy spectrum in otherreactor antineutrino experiments with different fission fractions than DayaBay. The positron energy spectra are unfolded to obtain the antineutrino energyspectra by removing the contribution from detector response with the Wiener-SVDunfolding method. Consistent results are obtained with other unfolding methods.A technique to construct a data-based prediction of the reactor antineutrinoenergy spectrum is proposed and investigated. Given the reactor fissionfractions, the technique can predict the energy spectrum to a 2% precision. Inaddition, we illustrate how to perform a rigorous comparison between theunfolded antineutrino spectrum and a theoretical model prediction that avoidsthe input model bias of the unfolding method.

Published
2021

7. First measurement of electron neutrino scattering cross section on argon

Author

Acciarri, R, Adams, C, Asaadi, J, Baller, B, Basque, V, Bolton, T, Bromberg, C, Cavanna, F, Edmunds, D, Fitzpatrick, RS, Fleming, B, Green, P, James, C, Lang, K, Lepetic, I, Littlejohn, BR, Luo, X, Mehdiyev, R, Palamara, O, Scanavini, G, Soderberg, M, Spitz, J, Szelc, AM, Wu, W, Yang, T, and Collaboration, ArgoNeuT

Subjects
Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Published
2020

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

Author

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

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

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

Published
2020

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

Author

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

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

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

Published
2020

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

Author

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

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

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

Published
2020

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

Author

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

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

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

Published
2020

12. A high precision calibration of the nonlinear energy response at Daya Bay

Author

Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Jetter, S, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, and Lu, HQ

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, Affordable and Clean Energy, Neutrino, Liquid scintillator, Energy calibration, Daya Bay, physics.ins-det, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences, Nuclear & Particles Physics, Nuclear and plasma physics
Abstract

A high precision calibration of the nonlinearity in the energy response of the Daya Bay Reactor Neutrino Experiment's antineutrino detectors is presented in detail. The energy nonlinearity originates from the particle-dependent light yield of the scintillator and charge-dependent electronics response. The nonlinearity model is constrained by γ calibration points from deployed and naturally occurring radioactive sources, the β spectrum from 12B decays, and a direct measurement of the electronics nonlinearity with a new flash analog-to-digital converter readout system. Less than 0.5% uncertainty in the energy nonlinearity calibration is achieved for positrons of kinetic energies greater than 1 MeV.

Published
2019

13. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at Eν∼0.8 GeV with the MicroBooNE Detector

Author

Abratenko, P, 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, EO, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Genty, V, Goeldi, D, Gollapinni, S, Goodwin, O, Gramellini, E, Greenlee, H, Grosso, R, Gu, L, Gu, W, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, and Mason, K

Subjects
MicroBooNE Collaboration, hep-ex, Mathematical Sciences, Physical Sciences, Engineering, General Physics
Abstract

We report the first measurement of the double-differential and total muon neutrino charged current inclusive cross sections on argon at a mean neutrino energy of 0.8 GeV. Data were collected using the MicroBooNE liquid argon time projection chamber located in the Fermilab Booster neutrino beam and correspond to 1.6×10^{20} protons on target of exposure. The measured differential cross sections are presented as a function of muon momentum, using multiple Coulomb scattering as a momentum measurement technique, and the muon angle with respect to the beam direction. We compare the measured cross sections to multiple neutrino event generators and find better agreement with those containing more complete treatment of quasielastic scattering processes at low Q^{2}. The total flux integrated cross section is measured to be 0.693±0.010(stat)±0.165(syst)×10^{-38}  cm^{2}.

Published
2019

14. Extraction of the U235 and Pu239 Antineutrino Spectra at Daya Bay

Author

Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Luk, KB, and B., X

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, Daya Bay Collaboration, hep-ex, physics.ins-det, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

This Letter reports the first extraction of individual antineutrino spectra from ^{235}U and ^{239}Pu fission and an improved measurement of the prompt energy spectrum of reactor antineutrinos at Daya Bay. The analysis uses 3.5×10^{6} inverse beta-decay candidates in four near antineutrino detectors in 1958 days. The individual antineutrino spectra of the two dominant isotopes, ^{235}U and ^{239}Pu, are extracted using the evolution of the prompt spectrum as a function of the isotope fission fractions. In the energy window of 4-6 MeV, a 7% (9%) excess of events is observed for the ^{235}U (^{239}Pu) spectrum compared with the normalized Huber-Mueller model prediction. The significance of discrepancy is 4.0σ for ^{235}U spectral shape compared with the Huber-Mueller model prediction. The shape of the measured inverse beta-decay prompt energy spectrum disagrees with the prediction of the Huber-Mueller model at 5.3σ. In the energy range of 4-6 MeV, a maximal local discrepancy of 6.3σ is observed.

Published
2019

15. Improved measurement of the reactor antineutrino flux at Daya Bay

Author

Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, YC, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, and Lu, HQ

Subjects
hep-ex, physics.ins-det, Digestive Diseases
Abstract

This work reports a precise measurement of the reactor antineutrino flux using 2.2 million inverse beta decay (IBD) events collected with the Daya Bay near detectors in 1230 days. The dominant uncertainty on the neutron detection efficiency is reduced by 56% with respect to the previous measurement through a comprehensive neutron calibration and detailed data and simulation analysis. The new average IBD yield is determined to be (5.91±0.09)×10-43 cm2/fission with total uncertainty improved by 29%. The corresponding mean fission fractions from the four main fission isotopes U235, U238, Pu239, and Pu241 are 0.564, 0.076, 0.304, and 0.056, respectively. The ratio of measured to predicted antineutrino yield is found to be 0.952±0.014±0.023 (1.001±0.015±0.027) for the Huber-Mueller (ILL-Vogel) model, where the first and second uncertainty are experimental and theoretical model uncertainty, respectively. This measurement confirms the discrepancy between the world average of reactor antineutrino flux and the Huber-Mueller model.

Published
2019

16. Extraction of the ^{235}U and ^{239}Pu Antineutrino Spectra at Daya Bay.

Author

Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, Lu, JS, Luk, KB, and Ma, XB

Subjects
Daya Bay Collaboration, hep-ex, physics.ins-det, General Physics, Mathematical Sciences, Physical Sciences, Engineering
Abstract

This Letter reports the first extraction of individual antineutrino spectra from ^{235}U and ^{239}Pu fission and an improved measurement of the prompt energy spectrum of reactor antineutrinos at Daya Bay. The analysis uses 3.5×10^{6} inverse beta-decay candidates in four near antineutrino detectors in 1958 days. The individual antineutrino spectra of the two dominant isotopes, ^{235}U and ^{239}Pu, are extracted using the evolution of the prompt spectrum as a function of the isotope fission fractions. In the energy window of 4-6 MeV, a 7% (9%) excess of events is observed for the ^{235}U (^{239}Pu) spectrum compared with the normalized Huber-Mueller model prediction. The significance of discrepancy is 4.0σ for ^{235}U spectral shape compared with the Huber-Mueller model prediction. The shape of the measured inverse beta-decay prompt energy spectrum disagrees with the prediction of the Huber-Mueller model at 5.3σ. In the energy range of 4-6 MeV, a maximal local discrepancy of 6.3σ is observed.

Published
2019

17. Rejecting cosmic background for exclusive charged current quasi elastic neutrino interaction studies with Liquid Argon TPCs; a case study with the MicroBooNE detector

Author

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, EO, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, 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, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, Mastbaum, A, Meddage, V, and Mettler, T

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Astronomical sciences, Atomic, molecular and optical physics, Particle and high energy physics
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 and selection criteria values optimized for the MicroBooNE detector, the concepts presented here are generic and can be adapted for various studies of exclusive νμ CCQE interactions in LArTPCs.

Published
2019

18. Response to Comment on Daya Bay's definition and use of Delta(m^2_ee)

Author

Collaboration, The Day Bay, Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvorak, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, and Lu, JS

Subjects
hep-ex
Abstract

The Daya Bay Collaboration responds to comments posted by S. Parke and R.Zukanovich Funchal regarding our use of Delta(m^2_ee).

Published
2019

19. Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber

Author

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, EO, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, 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, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, Mastbaum, A, Meddage, V, and Mettler, T

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

We have developed a convolutional neural network 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 νμ charged-current neutral pion data samples.

Published
2019

20. First measurement of νμ charged-current π0 production on argon with the MicroBooNE detector

Author

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, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, 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, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Ji, X, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DA Martinez, Mastbaum, A, and Meddage, V

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

We report the first measurement of the flux-integrated cross section of νμ charged-current single π0 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
2019

21. Design and construction of the MicroBooNE Cosmic Ray Tagger system

Author

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, IC, Carr, R, Fernandez, RC, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Evans, JJ, Fadeeva, AA, Fitzpatrick, RS, Fleming, BT, Franco, D, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, 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, J, Hill, C, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, De Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martin-Albo, J, Caicedo, DAM, Mastbaum, A, Meddage, V, Mettler, T, and Mills, GB

Subjects
Neutrino detectors, Particle tracking detectors, Particle identification methods, physics.ins-det, Nuclear & Particles Physics, Physical Sciences, Engineering
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

22. Comparison of νμ-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, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, A, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, E-C, James, C, de Vries, J Jan, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, and Moore, CD

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

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

Published
2019

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

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, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, de Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, and Moore, CD

Subjects
hep-ex, physics.ins-det, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics
Abstract

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

Published
2019

24. Measurement of the Electron Antineutrino Oscillation with 1958 Days of Operation at Daya Bay

Author

Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Deng, FS, Ding, YY, Diwan, MV, Dolgareva, M, Dwyer, DA, Edwards, WR, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Loh, CW, Lu, C, and Lu, HQ

Subjects
Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, Daya Bay Collaboration, hep-ex, physics.ins-det, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

We report a measurement of electron antineutrino oscillation from the Daya Bay Reactor Neutrino Experiment with nearly 4 million reactor ν[over ¯]_{e} inverse β decay candidates observed over 1958 days of data collection. The installation of a flash analog-to-digital converter readout system and a special calibration campaign using different source enclosures reduce uncertainties in the absolute energy calibration to less than 0.5% for visible energies larger than 2 MeV. The uncertainty in the cosmogenic ^{9}Li and ^{8}He background is reduced from 45% to 30% in the near detectors. A detailed investigation of the spent nuclear fuel history improves its uncertainty from 100% to 30%. Analysis of the relative ν[over ¯]_{e} rates and energy spectra among detectors yields sin^{2}2θ_{13}=0.0856±0.0029 and Δm_{32}^{2}=(2.471_{-0.070}^{+0.068})×10^{-3}  eV^{2} assuming the normal hierarchy, and Δm_{32}^{2}=-(2.575_{-0.070}^{+0.068})×10^{-3}  eV^{2} assuming the inverted hierarchy.

Published
2018

25. Search for a time-varying electron antineutrino signal at Daya Bay

Author

Adey, D, An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Dash, N, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Koerner, LW, Kohn, S, Kramer, M, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, F, Li, HL, Li, QJ, Li, S, Li, SC, Li, SJ, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Liu, Y, Liu, YH, Lu, C, Lu, HQ, and Lu, JS

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

A search for a time-varying νe signal was performed with 621 days of data acquired by the Daya Bay Reactor Neutrino Experiment over 704 calendar days. The time spectrum of the measured νe flux normalized to its prediction was analyzed with a Lomb-Scargle periodogram, which yielded no significant signal for periods ranging from 2 hours to nearly 2 years. The normalized time spectrum was also fit for a sidereal modulation under the Standard Model Extension (SME) framework to search for Lorentz and CPT violation (LV-CPTV). Limits were obtained for all six flavor pairs ēμ,ēτ, μτ, ēē,μμ and ττ by fitting them one at a time, constituting the first experimental constraints on the latter three. Daya Bay's high statistics and unique layout of multiple directions from three pairs of reactors to three experimental halls allowed the simultaneous constraint of individual SME LV-CPTV coefficients without assuming others contribute negligibly, a first for a neutrino experiment.

Published
2018

26. Ionization electron signal processing in single phase LArTPCs. Part II. Data/simulation comparison and performance in MicroBooNE

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, Terrazas, IC, Carr, R, Fernandez, RC, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Dolce, M, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, De Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Caicedo, DAM, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, and Mogan, A

Subjects
Neutrino detectors, Performance of High Energy Physics Detectors, Data processing methods, Time projection Chambers, physics.ins-det, hep-ex, nucl-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
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.

Published
2018

27. Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation

Author

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, RC, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, De Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Caicedo, DAM, Mastbaum, A, Meddage, V, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, and Moore, CD

Subjects
Data processing methods, Neutrino detectors, Time projection chambers, physics.ins-det, hep-ex, nucl-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
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.

Published
2018

28. Cosmogenic neutron production at Daya Bay

Author

An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Koerner, LW, Kohn, S, Kramer, M, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Loh, CW, and Lu, C

Subjects
hep-ex, physics.ins-det
Abstract

Neutrons produced by cosmic ray muons are an important background forunderground experiments studying neutrino oscillations, neutrinoless doublebeta decay, dark matter, and other rare-event signals. A measurement of theneutron yield in the three different experimental halls of the Daya Bay ReactorNeutrino Experiment at varying depth is reported. The neutron yield in DayaBay's liquid scintillator is measured to be $Y_n=(10.26\pm 0.86)\times10^{-5}$, $(10.22\pm 0.87)\times 10^{-5}$, and $(17.03\pm 1.22)\times10^{-5}~\mu^{-1}~$g$^{-1}~$cm$^2$ at depths of 250, 265, and 860meters-water-equivalent. These results are compared to other measurements andthe simulated neutron yield in Fluka and Geant4. A global fit including theDaya Bay measurements yields a power law coefficient of $0.77 \pm 0.03$ for thedependence of the neutron yield on muon energy.

Published
2018

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

Author

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, Camilleri, L, Caratelli, D, Carls, B, Castillo Fernandez, R, Cavanna, F, Chen, H, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Graf, N, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, G, Hourlier, A, Huang, E-C, James, C, Jan de Vries, J, Jen, C-M, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Mariani, C, Marshall, J, Martinez Caicedo, DA, Meddage, V, Miceli, T, Mills, GB, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murrells, R, Naples, D, Nienaber, P, Nowak, J, Palamara, O, and Paolone, V

Subjects
hep-ex, physics.data-an, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Abstract

The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.

Published
2018

30. Seasonal variation of the underground cosmic muon flux observed at Daya Bay

Author

An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, EC, Huang, HX, Huang, XT, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Jetter, S, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Kwok, T, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JL, and Liu, JC

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

The Daya Bay Experiment consists of eight identically designed detectors located in three underground experimental halls named as EH1, EH2, EH3, with 250, 265 and 860 meters of water equivalent vertical overburden, respectively. Cosmic muon events have been recorded over a two-year period. The underground muon rate is observed to be positively correlated with the effective atmospheric temperature and to follow a seasonal modulation pattern. The correlation coefficient α, describing how a variation in the muon rate relates to a variation in the effective atmospheric temperature, is found to be αEH1 = 0.362±0.031, αEH2 = 0.433±0.038 and αEH3 = 0.641±0.057 for each experimental hall.

Published
2018

31. Measurement of cosmic-ray reconstruction efficiencies in the MicroBooNE LArTPC using a small external cosmic-ray counter

Author

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, Camilleri, L, Caratelli, D, Carls, B, Castillo Fernandez, R, Cavanna, F, Chen, H, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Graf, N, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, G, Hourlier, A, Huang, EC, James, C, Jan De Vries, J, Jen, CM, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Kaleko, D, Kalousis, LN, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Lange, G, Laube, A, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Mariani, C, Marshall, J, Martinez Caicedo, DA, Meddage, V, Miceli, T, Mills, GB, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murrells, R, Naples, D, Nienaber, P, and Nowak, J

Subjects
Performance of High Energy Physics Detectors, Time projection chambers, Data reduction methods, Neutrino detectors, hep-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
Abstract

The MicroBooNE detector is a liquid argon time projection chamber at Fermilab designed to study short-baseline neutrino oscillations and neutrino-argon interaction cross-section. Due to its location near the surface, a good understanding of cosmic muons as a source of backgrounds is of fundamental importance for the experiment. We present a method of using an external 0.5 m (L) × 0.5 m (W) muon counter stack, installed above the main detector, to determine the cosmic-ray reconstruction efficiency in MicroBooNE. Data are acquired with this external muon counter stack placed in three different positions, corresponding to cosmic rays intersecting different parts of the detector. The data reconstruction efficiency of tracks in the detector is found to be ϵdata=(97.1±0.1 (stat) ± 1.4 (sys))%, in good agreement with the Monte Carlo reconstruction efficiency ϵMC = (97.4±0.1)%. This analysis represents a small-scale demonstration of the method that can be used with future data coming from a recently installed cosmic-ray tagger system, which will be able to tag ≈80% of the cosmic rays passing through the MicroBooNE detector.

Published
2017

32. Determination of muon momentum in the MicroBooNE LArTPC using an improved model of multiple Coulomb scattering

Author

Abratenko, P, 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, RC, Cavanna, F, Chen, H, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Graf, N, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, G, Huang, EC, James, C, De Vries, JJ, Jen, CM, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Kaleko, D, Kalousis, LN, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Laube, A, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Mariani, C, Marshall, J, Caicedo, DAM, Meddage, V, Miceli, T, Mills, GB, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murrells, R, Naples, D, Nienaber, P, Nowak, J, and Palamara, O

Subjects
Neutrino detectors, Time projection chambers, Time projection Chambers, physics.ins-det, hep-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
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

33. Michel electron reconstruction using cosmic-ray data from the MicroBooNE LArTPC

Author

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, RC, Cavanna, F, Chen, H, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Graf, N, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, G, Huang, EC, James, C, De Vries, JJ, Jen, CM, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Mariani, C, Marshall, J, Caicedo, DAM, Meddage, V, Miceli, T, Mills, GB, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murrells, R, Naples, D, Nienaber, P, Nowak, J, Palamara, O, Paolone, V, and Papavassiliou, V

Subjects
Neutrino detectors, Noble liquid detectors, Performance of High Energy Physics Detectors, Time projection chambers, physics.ins-det, hep-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
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 νe interactions over a broad energy range.

Published
2017

34. Noise Characterization and Filtering in the MicroBooNE Liquid Argon TPC

Author

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, RC, Cavanna, F, Chen, H, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, Geronimo, GD, Tutto, MD, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Graf, N, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, G, Hourlier, A, Huang, EC, James, C, De Vries, JJ, Jen, CM, Jiang, L, Johnson, RA, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Mariani, C, Marshall, J, Caicedo, DAM, Meddage, V, Miceli, T, Mills, GB, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murrells, R, Naples, D, and Nienaber, P

Subjects
Front-end electronics for detector readout, Neutrino detectors, Noble liquid detectors, Time projection Chambers, physics.ins-det, hep-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
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.

Published
2017

35. Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay

Author

An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, D, Cao, GF, Cao, J, Chan, YL, Chang, JF, Chang, Y, Chen, HS, Chen, QY, Chen, SM, Chen, YX, Chen, Y, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Chukanov, A, Cummings, JP, Ding, YY, Diwan, MV, Dolgareva, M, Dove, J, Dwyer, DA, Edwards, WR, Gill, R, Gonchar, M, Gong, GH, Gong, H, Grassi, M, Gu, WQ, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hsiung, YB, Hu, BZ, Hu, T, Huang, EC, Huang, HX, Huang, XT, Huang, YB, Huber, P, Huo, W, Hussain, G, Jaffe, DE, Jen, KL, Ji, XP, Ji, XL, Jiao, JB, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Khan, A, Kohn, S, Kramer, M, Kwan, KK, Kwok, MW, Langford, TJ, Lau, K, Lebanowski, L, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, C, Li, DJ, Li, F, Li, GS, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Lin, SK, Lin, Y-C, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JL, and Liu, JC

Subjects
Nuclear and Plasma Physics, Synchrotrons and Accelerators, Physical Sciences, Daya Bay Collaboration, hep-ex, nucl-ex, physics.ins-det, Mathematical Sciences, Engineering, General Physics, Mathematical sciences, Physical sciences
Abstract

The Daya Bay experiment has observed correlations between reactor core fuel evolution and changes in the reactor antineutrino flux and energy spectrum. Four antineutrino detectors in two experimental halls were used to identify 2.2 million inverse beta decays (IBDs) over 1230 days spanning multiple fuel cycles for each of six 2.9 GW_{th} reactor cores at the Daya Bay and Ling Ao nuclear power plants. Using detector data spanning effective ^{239}Pu fission fractions F_{239} from 0.25 to 0.35, Daya Bay measures an average IBD yield σ[over ¯]_{f} of (5.90±0.13)×10^{-43}  cm^{2}/fission and a fuel-dependent variation in the IBD yield, dσ_{f}/dF_{239}, of (-1.86±0.18)×10^{-43}  cm^{2}/fission. This observation rejects the hypothesis of a constant antineutrino flux as a function of the ^{239}Pu fission fraction at 10 standard deviations. The variation in IBD yield is found to be energy dependent, rejecting the hypothesis of a constant antineutrino energy spectrum at 5.1 standard deviations. While measurements of the evolution in the IBD spectrum show general agreement with predictions from recent reactor models, the measured evolution in total IBD yield disagrees with recent predictions at 3.1σ. This discrepancy indicates that an overall deficit in the measured flux with respect to predictions does not result from equal fractional deficits from the primary fission isotopes ^{235}U, ^{239}Pu, ^{238}U, and ^{241}Pu. Based on measured IBD yield variations, yields of (6.17±0.17) and (4.27±0.26)×10^{-43}  cm^{2}/fission have been determined for the two dominant fission parent isotopes ^{235}U and ^{239}Pu. A 7.8% discrepancy between the observed and predicted ^{235}U yields suggests that this isotope may be the primary contributor to the reactor antineutrino anomaly.

Published
2017

36. Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber

Author

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, RC, Cavanna, F, Chen, H, Church, E, Cianci, D, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Fleming, BT, Foreman, W, Furmanski, AP, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Graf, N, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, G, James, C, De Vries, JJ, Jen, CM, Jiang, L, Johnson, RA, Jones, BJP, 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, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Mariani, C, Marshall, J, Caicedo, DAM, Meddage, V, Miceli, T, Mills, GB, Moon, J, Mooney, M, Moore, CD, Mousseau, J, Murrells, R, Naples, D, Nienaber, P, Nowak, J, Palamara, O, Paolone, V, Papavassiliou, V, Pate, SF, Pavlovic, Z, Porzio, D, Pulliam, G, and Qian, X

Subjects
Analysis and statistical methods, Particle identification methods, Image filtering, Time projection chambers, physics.ins-det, hep-ex, Nuclear & Particles Physics, Physical Sciences, Engineering
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
2017

37. Background radiation measurements at high power research reactors

Author

Ashenfelter, J, Balantekin, B, Baldenegro, CX, Band, HR, Barclay, G, Bass, CD, Berish, D, Bowden, NS, Bryan, CD, Cherwinka, JJ, Chu, R, Classen, T, Davee, D, Dean, D, Deichert, G, Dolinski, MJ, Dolph, J, Dwyer, DA, Fan, S, Gaison, JK, Galindo-Uribarri, A, Gilje, K, Glenn, A, Green, M, Han, K, Hans, S, Heeger, KM, Heffron, B, Jaffe, DE, Kettell, S, Langford, TJ, Littlejohn, BR, Martinez, D, McKeown, RD, Morrell, S, Mueller, PE, Mumm, HP, Napolitano, J, Norcini, D, Pushin, D, Romero, E, Rosero, R, Saldana, L, Seilhan, BS, Sharma, R, Stemen, NT, Surukuchi, PT, Thompson, SJ, Varner, RL, Wang, W, Watson, SM, White, B, White, C, Wilhelmi, J, Williams, C, Wise, T, Yao, H, Yeh, M, Yen, YR, Zhang, C, and Zhang, X

Subjects
Research reactors, Background measurements, Reactor antineutrino detection, Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Other Physical Sciences, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Abstract

Research reactors host a wide range of activities that make use of the intense neutron fluxes generated at these facilities. Recent interest in performing measurements with relatively low event rates, e.g. reactor antineutrino detection, at these facilities necessitates a detailed understanding of background radiation fields. Both reactor-correlated and naturally occurring background sources are potentially important, even at levels well below those of importance for typical activities. Here we describe a comprehensive series of background assessments at three high-power research reactors, including γ-ray, neutron, and muon measurements. For each facility we describe the characteristics and identify the sources of the background fields encountered. The general understanding gained of background production mechanisms and their relationship to facility features will prove valuable for the planning of any sensitive measurement conducted therein.

Published
2016

38. Light collection and pulse-shape discrimination in elongated scintillator cells for the PROSPECT reactor antineutrino experiment

Author

Ashenfelter, J, Balantekin, B, Band, HR, Barclay, G, Bass, CD, Berish, D, Bowden, NS, Bowes, A, Brodsky, JP, Bryan, CD, Cherwinka, JJ, Chu, R, Classen, T, Commeford, K, Davee, D, Dean, D, Deichert, G, Diwan, MV, Dolinski, MJ, Dolph, J, Dwyer, DA, Gaison, JK, Galindo-Uribarri, A, Gilje, K, Glenn, A, Goddard, BW, Green, M, Han, K, Hans, S, Heeger, KM, Heffron, B, Jaffe, DE, Langford, TJ, Littlejohn, BR, Caicedo, DAM, McKeown, RD, Mendenhall, MP, Mueller, P, Mumm, HP, Napolitano, J, Neilson, R, Norcini, D, Pushin, D, Qian, X, Romero, E, Rosero, R, Saldana, L, Seilhan, BS, Sharma, R, Sheets, S, Stemen, NT, Surukuchi, PT, Varner, RL, Viren, B, Wang, W, White, B, White, C, Wilhelmi, J, Williams, C, Wise, T, Yao, H, Yeh, M, Yen, YR, Zangakis, G, Zhang, C, and Zhang, X

Subjects
Neutrino detectors, Particle identification methods, Calorimeters, Nuclear & Particles Physics, Other Physical Sciences, Physical Sciences, Engineering
Abstract

A meter-long, 23-liter EJ-309 liquid scintillator detector has been constructed to study the light collection and pulse-shape discrimination performance of elongated scintillator cells for the PROSPECT reactor antineutrino experiment. The magnitude and uniformity of light collection and neutron-gamma discrimination power in the energy range of antineutrino inverse beta decay products have been studied using gamma and spontaneous fission calibration sources deployed along the cell axis. We also study neutron-gamma discrimination and light collection abilities for differing PMT and reflector configurations. Key design features for optimizing MeV-scale response and background rejection capabilities are identified.

Published
2015

39. The Intermediate Neutrino Program

Author

Adams, C, Alonso, JR, Ankowski, AM, Asaadi, JA, Ashenfelter, J, Axani, SN, Babu, K, Backhouse, C, Band, HR, Barbeau, PS, Barros, N, Bernstein, A, Betancourt, M, Bishai, M, Blucher, E, Bouffard, J, Bowden, N, Brice, S, Bryan, C, Camilleri, L, Cao, J, Carlson, J, Carr, RE, Chatterjee, A, Chen, M, Chen, S, Chiu, M, Church, ED, Collar, JI, Collin, G, Conrad, JM, Convery, MR, Cooper, RL, Cowen, D, Davoudiasl, H, Gouvea, A De, Dean, DJ, Deichert, G, Descamps, F, DeYoung, T, Diwan, MV, Djurcic, Z, Dolinski, MJ, Dolph, J, Donnelly, B, Dwyer, DA, Dytman, S, Efremenko, Y, Everett, LL, Fava, A, Figueroa-Feliciano, E, Fleming, B, Friedland, A, Fujikawa, BK, Gaisser, TK, Galeazzi, M, Galehouse, DC, Galindo-Uribarri, A, Garvey, GT, Gautam, S, Gilje, KE, Gonzalez-Garcia, M, Goodman, MC, Gordon, H, Gramellini, E, Green, MP, Guglielmi, A, Hackenburg, RW, Hackenburg, A, Halzen, F, Han, K, Hans, S, Harris, D, Heeger, KM, Herman, M, Hill, R, Holin, A, Huber, P, Jaffe, DE, Johnson, RA, Joshi, J, Karagiorgi, G, Kaufman, LJ, Kayser, B, Kettell, SH, Kirby, BJ, Klein, JR, Kolomensky, Yu G, Kriske, RM, Lane, CE, Langford, TJ, Lankford, A, Lau, K, Learned, JG, Ling, J, Link, JM, Lissauer, D, Littenberg, L, Littlejohn, BR, and Lockwitz, S

Subjects
hep-ex, nucl-ex, physics.ins-det
Abstract

The US neutrino community gathered at the Workshop on the IntermediateNeutrino Program (WINP) at Brookhaven National Laboratory February 4-6, 2015 toexplore opportunities in neutrino physics over the next five to ten years.Scientists from particle, astroparticle and nuclear physics participated in theworkshop. The workshop examined promising opportunities for neutrino physics inthe intermediate term, including possible new small to mid-scale experiments,US contributions to large experiments, upgrades to existing experiments, R&Dplans and theory. The workshop was organized into two sets of parallel workinggroup sessions, divided by physics topics and technology. Physics workinggroups covered topics on Sterile Neutrinos, Neutrino Mixing, NeutrinoInteractions, Neutrino Properties and Astrophysical Neutrinos. Technologysessions were organized into Theory, Short-Baseline Accelerator Neutrinos,Reactor Neutrinos, Detector R&D and Source, Cyclotron and Meson Decay at Restsessions.This report summarizes discussion and conclusions from the workshop.

Published
2015

40. Assembly and Installation of the Daya Bay Antineutrino Detectors

Author

Band, HR, Brown, RL, Carr, R, Chen, XC, Chen, XH, Cherwinka, JJ, Chu, MC, Draeger, E, Dwyer, DA, Edwards, WR, Gill, R, Goett, J, Greenler, LS, Gu, WQ, He, WS, Heeger, KM, Heng, YK, Hinrichs, P, Ho, TH, Hoff, M, Hsiung, YB, Jin, Y, Kang, L, Kettell, SH, Kramer, M, Kwan, KK, Kwok, MW, Lewis, CA, Li, GS, Li, N, Li, SF, Li, XN, Lin, CJ, Littlejohn, BR, Liu, JL, Luk, KB, Luo, XL, Y, X, McFarlane, MC, McKeown, RD, Nakajima, Y, Ochoa-Ricoux, JP, Pagac, A, Qian, X, Seilhan, B, Shih, K, Steiner, H, Tang, X, Themann, H, Tsang, KV, Tsang, RHM, Virostek, S, Wang, L, Wang, W, Wang, ZM, Webber, DM, Wei, YD, Wen, LJ, Wenman, DL, Wilhelmi, J, Wingert, M, Wise, T, Wong, HLH, Wu, FF, Xiao, Q, Yang, L, Zhang, ZJ, Zhong, WL, and Zhuang, HL

Subjects
Large detector systems for particle and astroparticle physics, Neutrino detectors, Detector alignment and calibration methods, physics.ins-det, hep-ex, nucl-ex, Physical Sciences, Engineering, Nuclear & Particles Physics
Abstract

The Daya Bay reactor antineutrino experiment is designed to make a precision measurement of the neutrino mixing angle θ13, and recently made the definitive discovery of its non-zero value. It utilizes a set of eight, functionally identical antineutrino detectors to measure the reactor flux and spectrum at baselines of ∼ 300-2000 m from the Daya Bay and Ling Ao Nuclear Power Plants. The Daya Bay antineutrino detectors were built in an above-ground facility and deployed side-by-side at three underground experimental sites near and far from the nuclear reactors. This configuration allows the experiment to make a precision measurement of reactor antineutrino disappearance over km-long baselines and reduces relative systematic uncertainties between detectors and nuclear reactors. This paper describes the assembly and installation of the Daya Bay antineutrino detectors. © 2013 IOP Publishing Ltd and Sissa Medialab srl.

Published
2013

41. Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data

Author

Abratenko, P, An, R, Anthony, J, Arellano, L, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V, Bathe-Peters, L, Benevides Rodrigues, O, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Book, JY, Camilleri, L, Caratelli, D, Caro Terrazas, I, Cavanna, F, Cerati, G, Chen, Y, Cianci, D, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Dennis, SR, Detje, P, Devitt, A, Diurba, R, Dorrill, R, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Evans, JJ, Fine, R, Fiorentini Aguirre, GA, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, 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, GA, Hourlier, A, Itay, R, James, C, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Jwa, YJ, 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, BR, Louis, WC, Luo, X, Manivannan, K, Mariani, C, Marsden, D, Marshall, J, Caicedo, DAM, Mason, K, Mastbaum, A, McConkey, N, Meddage, V, Mettler, T, Miller, K, Mills, J, Mistry, K, Yates, L. E. [0000-0002-3756-3646], and Apollo - University of Cambridge Repository

Subjects
5110 Synchrotrons and Accelerators, Physics::Instrumentation and Detectors, 5106 Nuclear and Plasma Physics, 51 Physical Sciences
Abstract

Primary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE.

Published
2022
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42. Design, construction and operation of the ProtoDUNE-SP Liquid Argon TPC

Author

Collaboration, DUNE, Abud, AA, Abi, B, Acciarri, R, Acero, MA, Adames, MR, Adamov, G, Adams, D, Adinolfi, M, Aduszkiewicz, A, Aguilar, J, Ahmad, Z, Ahmed, J, Ali-Mohammadzadeh, B, Alion, T, Allison, K, Monsalve, SA, Alrashed, M, Alt, C, Alton, A, Amedo, P, Anderson, J, Andreopoulos, C, Andreotti, M, Andrews, MP, Andrianala, F, Andringa, S, Anfimov, N, Ankowski, A, Antoniassi, M, Antonova, M, Antoshkin, A, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Asquith, L, Aurisano, A, Aushev, V, Autiero, D, Ayala-Torres, M, Azfar, F, Back, A, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagaturia, I, Bagby, L, Balashov, N, Balasubramanian, S, Baldi, P, Baller, B, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Monarca, JB, Barros, A, Barros, N, Barrow, JL, Basharina-Freshville, A, Bashyal, A, Basque, V, Belchior, E, Battat, JBR, Battisti, F, Bay, F, Alba, JLB, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Montiel, CB, Neves, FB, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Rodríguez, AB, Bevan, A, Bezerra, TJC, Bhattacharjee, M, Bhuller, S, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bomben, L, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Boran, F, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Bourgeois, C, Boyd, SB, Boyden, D, Bracinik, J, Braga, D, Brailsford, D, Branca, A, Brandt, A, Bremer, J, Brew, C, Brianne, E, Brice, SJ, Brizzolari, C, Bromberg, C, Brooijmans, G, Brooke, J, Bross, A, Brunetti, G, Brunetti, M, Buchanan, N, Budd, H, Butorov, I, Cagnoli, I, Caiulo, D, Calabrese, R, Calafiura, P, Calcutt, J, Calin, M, Calvez, S, Calvo, E, Caminata, A, Campanelli, M, Cankocak, K, Caratelli, D, Carini, G, Carlus, B, Carneiro, MF, Carniti, P, Terrazas, IC, Carranza, H, Carroll, T, Casta, JF, Castillo, A, Castromonte, C, Catano-Mur, E, Cattadori, C, Cavalier, F, Cavanna, F, Centro, S, Cerati, G, Cervelli, A, Villanueva, AC, Chalifour, M, Chappell, A, Chardonnet, E, Charitonidis, N, Chatterjee, A, Chattopadhyay, S, Chen, H, Chen, K, Chen, M, Chen, Y, Chen, Z, Cheon, Y, Cherdack, D, Chi, C, Childress, S, Chiriacescu, A, Chisnall, G, Cho, K, Choate, S, Chokheli, D, Chong, PS, Choubey, S, Christensen, A, Christian, D, Christodoulou, G, Chukanov, A, Chung, M, Church, E, Cicero, V, Clarke, P, Coan, TE, Cocco, AG, Coelho, JAB, Conley, E, Conley, R, Conrad, JM, Convery, M, Copello, S, Corwin, L, Valentim, R, Cremaldi, L, Cremonesi, L, Crespo-Anadon, JI, Crisler, M, Cristaldo, E, Cross, R, Cudd, A, Cuesta, C, Cui, Y, Cussans, D, Dabrowski, M, Dalager, O, Motta, HD, Peres, LDS, David, C, David, Q, Davies, GS, Davini, S, Dawson, J, De, K, Almeida, RMD, Debbins, P, Bonis, ID, Decowski, MP, Gouvea, AD, Holanda, PCD, Astiz, ILDI, Deisting, A, Jong, PD, Delbart, A, Delepine, D, Delgado, M, Dell'Acqua, A, Lurgio, PD, Neto, JRTDM, DeMuth, DM, Dennis, S, Densham, C, Deptuch, GW, Roeck, AD, Romeri, VD, Souza, GD, Devi, R, Dharmapalan, R, Dias, M, Diaz, F, Diaz, JS, Domizio, SD, Giulio, LD, Ding, P, Noto, LD, Distefano, C, Diurba, R, Diwan, M, Djurcic, Z, Doering, D, Dolan, S, Dolek, F, Dolinski, MJ, Domine, L, Douglas, D, Douillet, D, Drake, G, Drielsma, F, Duarte, L, Duchesneau, D, Duffy, K, Dunne, P, Durkin, T, Duyang, H, Dvornikov, O, Dwyer, DA, Dyshkant, AS, Eads, M, Earle, A, Edmunds, D, Eisch, J, Emberger, L, Emery, S, Ereditato, A, Erjavec, T, Escobar, CO, Eurin, G, Evans, JJ, Ewart, E, Ezeribe, AC, Fahey, K, Falcone, A, Faní, M, Farnese, C, Farzan, Y, Fedoseev, D, Felix, J, Feng, Y, Fernandez-Martinez, E, Menendez, PF, Morales, MF, Ferraro, F, Fields, L, Filip, P, Filthaut, F, Fiorentini, A, Fiorini, M, Fitzpatrick, RS, Flanagan, W, Fleming, B, Flight, R, Forero, DV, Fowler, J, Fox, W, Franc, J, Francis, K, 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Kabirnezhad, M, Kaboth, A, Kadenko, I, Kalra, D, Kakorin, I, Kalitkina, A, Kamiya, F, Kaneshige, N, Karagiorgi, G, Karaman, G, Karcher, A, Karolak, M, Karyotakis, Y, Kasai, S, Kasetti, SP, Kashur, L, Kazaryan, N, Kearns, E, Keener, P, Kelly, KJ, Kemp, E, Kemularia, O, Ketchum, W, Kettell, SH, Khabibullin, M, Khotjantsev, A, Khvedelidze, A, Kim, D, King, B, Kirby, B, Kirby, M, Klein, J, Koehler, K, Koerner, LW, Kohn, S, Koller, PP, Kolupaeva, L, Korablev, D, Kordosky, M, Kosc, T, Kose, U, Kostelecky, VA, Kothekar, K, Krennrich, F, Kreslo, I, Kropp, W, Kudenko, Y, Kudryavtsev, VA, Kulagin, S, Kumar, J, Kumar, P, Kunze, P, Kuruppu, C, Kus, V, Kutter, T, Kvasnicka, J, Kwak, D, Lambert, A, Land, BJ, Lande, K, Lane, CE, Lang, K, Langford, T, Langstaff, M, Larkin, J, Lasorak, P, Last, D, Lastoria, C, Laundrie, A, Laurenti, G, Lawrence, A, Lazanu, I, LaZur, R, Lazzaroni, M, Le, T, Leardini, S, Learned, J, LeBrun, P, LeCompte, T, Lee, C, Lee, SY, Miotto, GL, Lehnert, R, Oliveira, MALD, Leitner, M, Lepin, LM, Li, L, Li, SW, Li, T, Li, Y, Liao, H, Lin, CS, Lin, Q, Lin, S, Ling, J, Lister, A, Littlejohn, BR, Liu, J, Lockwitz, S, Loew, T, Lokajicek, M, Lomidze, I, Long, K, Loo, K, Lord, T, LoSecco, JM, Louis, WC, Lu, X-G, Luk, KB, Luo, X, Luppi, E, Lurkin, N, Lux, T, Luzio, VP, MacFarlane, D, Machado, AA, Machado, P, Macias, CT, Macier, JR, Maddalena, A, Madera, A, Madigan, P, Magill, S, Mahn, K, Maio, A, Major, A, Maloney, JA, Mandrioli, G, Mandujano, RC, Maneira, J, Manenti, L, Manly, S, Mann, A, Manolopoulos, K, Plata, MM, Manyam, VN, Manzanillas, L, Marchan, M, Marchionni, A, Marciano, W, Marfatia, D, Mariani, C, Maricic, J, Marie, R, Marinho, F, Marino, AD, Marsden, D, Marshak, M, Marshall, CM, Marshall, J, Marteau, J, Martin-Albo, J, Martinez, N, Caicedo, DAM, Martynenko, S, Mascagna, V, Mason, K, Mastbaum, A, Masud, M, Matichard, F, Matsuno, S, Matthews, J, Mauger, C, Mauri, N, Mavrokoridis, K, Mawby, I, Mazza, R, Mazzacane, A, Mazzucato, E, McAskill, T, McCluskey, E, McConkey, N, McFarland, KS, McGrew, C, McNab, A, Mefodiev, A, Mehta, P, Melas, P, Mena, O, Menary, S, Mendez, H, Mendez, P, M, DP, Menegolli, A, Meng, G, Messier, MD, Metcalf, W, Mettler, T, Mewes, M, Meyer, H, Miao, T, Michna, G, Miedema, T, Mikola, V, Milincic, R, Miller, G, Miller, W, Mills, J, Milne, C, Mineev, O, Miranda, OG, Miryala, S, Mishra, CS, Mishra, SR, Mislivec, A, Mladenov, D, Mocioiu, I, Moffat, K, Moggi, N, Mohanta, R, Mohayai, TA, Mokhov, N, Molina, J, Bueno, LM, Montagna, E, Montanari, A, Montanari, C, Montanari, D, Zetina, LMM, Moon, J, Moon, SH, Mooney, M, Moor, AF, Moreno, D, Morris, C, Mossey, C, Motuk, E, Moura, CA, Mousseau, J, Mouster, G, Mu, W, Mualem, L, Mueller, J, Muether, M, Mufson, S, Muheim, F, Muir, A, Mulhearn, M, Munford, D, Muramatsu, H, Murphy, S, Musser, J, Nachtman, J, Nagu, S, Nalbandyan, M, Nandakumar, R, Naples, D, Narita, S, Nath, A, Navas-Nicolás, D, Navrer-Agasson, A, Nayak, N, Nebot-Guinot, M, Negishi, K, Nelson, JK, Nesbit, J, Nessi, M, 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V, Vallari, Z, Vallazza, E, Valle, JWF, Vallecorsa, S, Berg, RV, Water, RGVD, Varanini, F, Vargas, D, Varner, G, Vasel, J, Vasina, S, Vasseur, G, Vaughan, N, Vaziri, K, Ventura, S, Verdugo, A, Vergani, S, Vermeulen, MA, Verzocchi, M, Vicenzi, M, Souza, HVD, Vignoli, C, Vilela, C, Viren, B, Vrba, T, Wachala, T, Waldron, AV, Wallbank, M, Wallis, C, Wang, H, Wang, J, Wang, L, Wang, MHLS, Wang, Y, Warburton, K, Warner, D, Wascko, MO, Waters, D, Watson, A, Weatherly, P, Weber, A, Weber, M, Wei, H, Weinstein, A, Wenman, D, Wetstein, M, White, A, Whitehead, LH, Whittington, D, Wilking, MJ, Wilkinson, C, Williams, Z, Wilson, F, Wilson, RJ, Wisniewski, W, Wolcott, J, Wongjirad, T, Wood, A, Wood, K, Worcester, E, Worcester, M, Wret, C, Wu, W, Xiao, Y, Xie, F, Yandel, E, Yang, G, Yang, K, Yang, S, Yang, T, Yankelevich, A, Yershov, N, Yonehara, K, Young, T, Yu, B, Yu, H, Yu, J, Yuan, W, Zaki, R, Zalesak, J, Zambelli, L, Zamorano, B, Zani, A, Zazueta, L, Zeller, GP, Zennamo, J, Zeug, K, Zhang, C, Zhao, M, Zhivun, E, Zhu, G, Zilberman, P, Zimmerman, ED, Zito, M, Zucchelli, S, Zuklin, J, Zutshi, V, Zwaska, R, XENON (IHEF, IoP, FNWI), Other Research IHEF (IoP, FNWI), ATLAS (IHEF, IoP, FNWI), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), DUNE, UAM. Departamento de Física Teórica, A. Abed Abud, B. Abi, R. Acciarri, M.A. Acero, M.R. Adame, G. Adamov, D. Adam, M. Adinolfi, A. Aduszkiewicz, J. Aguilar, Z. Ahmad, J. Ahmed, B. Ali-Mohammadzadeh, T. Alion, K. Allison, S. Alonso Monsalve, M. Alrashed, C. Alt, A. Alton, P. Amedo, J. Anderson, C. Andreopoulo, M. Andreotti, M.P. Andrew, F. Andrianala, S. Andringa, N. Anfimov, A. Ankowski, M. Antoniassi, M. Antonova, A. Antoshkin, S. Antusch, A. Aranda-Fernandez, A. Ariga, L.O. Arnold, M.A. Arroyave, J. Asaadi, L. Asquith, A. Aurisano, V. Aushev, D. Autiero, M. Ayala-Torre, F. Azfar, A. Back, H. Back, J.J. Back, C. Backhouse, P. Baesso, I. Bagaturia, L. Bagby, N. Balashov, S. Balasubramanian, P. Baldi, B. Baller, B. Bambah, F. Barao, G. Barenboim, G.J. Barker, W. Barkhouse, C. Barne, G. Barr, J. Barranco Monarca, A. Barro, N. Barro, J.L. Barrow, A. Basharina-Freshville, A. Bashyal, V. Basque, E. Belchior, J.B.R. Battat, F. Battisti, F. Bay, J.L. Bazo Alba, J.F. Beacom, E. Bechetoille, B. Behera, L. Bellantoni, G. Bellettini, V. Bellini, O. Beltramello, D. Belver, N. Beneko, C. Benitez Montiel, F. Bento Neve, J. Berger, S. Berkman, P. Bernardini, R.M. Berner, H. Bern, S. Bertolucci, M. Betancourt, A. Betancur Rodr??guez, A. Bevan, T.J.C. Bezerra, M. Bhattacharjee, S. Bhuller, B. Bhuyan, S. Biagi, J. Bian, M. Biassoni, K. Biery, B. Bilki, M. Bishai, A. Bitadze, A. Blake, F.D.M. Blaszczyk, G.C. Blazey, E. Blucher, J. Boissevain, S. Bolognesi, T. Bolton, L. Bomben, M. Bonesini, M. Bongrand, F. Bonini, A. Booth, C. Booth, F. Boran, S. Bordoni, A. Borkum, T. Boschi, N. Bostan, P. Bour, C. Bourgeoi, S.B. Boyd, D. Boyden, J. Bracinik, D. Braga, D. Brailsford, A. Branca, A. Brandt, J. Bremer, C. Brew, E. Brianne, S.J. Brice, C. Brizzolari, C. Bromberg, G. Brooijman, J. Brooke, A. Bro, G. Brunetti, M. Brunetti, N. Buchanan, H. Budd, I. Butorov, I. Cagnoli, D. Caiulo, R. Calabrese, P. Calafiura, J. Calcutt, M. Calin, S. Calvez, E. Calvo, A. Caminata, M. Campanelli, K. Cankocak, D. Caratelli, G. Carini, B. Carlu, M.F. Carneiro, P. Carniti, I. Caro Terraza, H. Carranza, T. Carroll, J.F. Casta, A. Castillo, C. Castromonte, E. Catano-Mur, C. Cattadori, F. Cavalier, F. Cavanna, S. Centro, G. Cerati, A. Cervelli, A. Cervera Villanueva, M. Chalifour, A. Chappell, E. Chardonnet, N. Charitonidi, A. Chatterjee, S. Chattopadhyay, H. Chen, K. Chen, M. Chen, Y. Chen, Z. Chen, Y. Cheon, D. Cherdack, C. Chi, S. Childre, A. Chiriacescu, G. Chisnall, K. Cho, S. Choate, D. Chokheli, P.S. Chong, S. Choubey, A. Christensen, D. Christian, G. Christodoulou, A. Chukanov, M. Chung, E. Church, V. Cicero, P. Clarke, T.E. Coan, A.G. Cocco, J.A.B. Coelho, E. Conley, R. Conley, J.M. Conrad, M. Convery, S. Copello, L. Corwin, R. Valentim, L. Cremaldi, L. Cremonesi, J.I. Crespo-Anad??n, M. Crisler, E. Cristaldo, R. Cro, A. Cudd, C. Cuesta, Y. Cui, D. Cussan, M. Dabrowski, O. Dalager, H. da Motta, L. Da Silva Pere, C. David, Q. David, G.S. Davie, S. Davini, J. Dawson, K. De, R.M. De Almeida, P. Debbin, I. De Boni, M.P. Decowski, A. de Gouv??a, P.C. De Holanda, I.L. De Icaza Astiz, A. Deisting, P. De Jong, A. Delbart, D. Delepine, M. Delgado, A. Dell'Acqua, P. De Lurgio, J.R.T. de Mello Neto, D.M. DeMuth, S. Denni, C. Densham, G.W. Deptuch, A. De Roeck, V. De Romeri, G. De Souza, R. Devi, R. Dharmapalan, M. Dia, F. Diaz, J.S. D??az, S. Di Domizio, L. Di Giulio, P. Ding, L. Di Noto, C. Distefano, R. Diurba, M. Diwan, Z. Djurcic, D. Doering, S. Dolan, F. Dolek, M.J. Dolinski, L. Domine, D. Dougla, D. Douillet, G. Drake, F. Drielsma, L. Duarte, D. Duchesneau, K. Duffy, P. Dunne, T. Durkin, H. Duyang, O. Dvornikov, D.A. Dwyer, A.S. Dyshkant, M. Ead, A. Earle, D. Edmund, J. Eisch, L. Emberger, S. Emery, A. Ereditato, T. Erjavec, C.O. Escobar, G. Eurin, J.J. Evan, E. Ewart, A.C. Ezeribe, K. Fahey, A. Falcone, M. Fani', C. Farnese, Y. Farzan, D. Fedoseev, J. Felix, Y. Feng, E. Fernandez-Martinez, P. Fernandez Menendez, M. Fernandez Morale, F. Ferraro, L. Field, P. Filip, F. Filthaut, A. Fiorentini, M. Fiorini, R.S. Fitzpatrick, W. Flanagan, B. Fleming, R. Flight, D.V. Forero, J. Fowler, W. Fox, J. Franc, K. Franci, D. Franco, J. Freeman, J. Freestone, J. Fried, A. Friedland, F. Fuentes Robayo, S. Fue, I. Furic, A.P. Furmanski, A. Gabrielli, A. Gago, H. Gallagher, A. Galla, A. Gallego-Ro, N. Gallice, V. Galymov, E. Gamberini, T. Gamble, F. Ganacim, R. Gandhi, R. Gandrajula, F. Gao, S. Gao, A.C. Garcia B., D. Garcia-Gamez, M.??. Garc??a-Peri, S. Gardiner, D. Gastler, J. Gauvreau, G. Ge, B. Gelli, A. Gendotti, S. Gent, Z. Ghorbani-Moghaddam, P. Giammaria, T. Giammaria, D. Gibin, I. Gil-Botella, S. Gilligan, C. Girerd, A.K. Giri, D. Gnani, O. Gogota, M. Gold, S. Gollapinni, K. Gollwitzer, R.A. Gome, L.V. Gomez Bermeo, L.S. Gomez Fajardo, F. Gonnella, J.A. Gonzalez-Cueva, D. Gonzalez Diaz, M. Gonzalez-Lopez, M.C. Goodman, O. Goodwin, S. Goswami, C. Gotti, E. Goudzovski, C. Grace, M. Graham, R. Gran, E. Granado, P. Granger, A. Grant, C. Grant, D. Gratieri, P. Green, L. Greenler, J. Greer, J. Grenard, W.C. Griffith, M. Groh, J. Grudzinski, K. Grzelak, W. Gu, E. Guardincerri, V. Guarino, M. Guarise, R. Guenette, E. Guerard, M. Guerzoni, A. Guglielmi, B. Guo, K.K. Guthikonda, R. Gutierrez, P. Guzowski, M.M. Guzzo, S. Gwon, C. Ha, A. Habig, H. Hadavand, R. Haenni, A. Hahn, J. Haiston, P. Hamacher-Baumann, T. Hamernik, P. Hamilton, J. Han, D.A. Harri, J. Hartnell, J. Harton, T. Hasegawa, C. Hasnip, R. Hatcher, K.W. Hatfield, A. Hatzikouteli, C. Haye, K. Hayrapetyan, J. Hay, E. Hazen, M. He, A. Heavey, K.M. Heeger, J. Heise, K. Hennessy, S. Henry, M.A. Hernandez Morquecho, K. Herner, L. Hertel, J. Hewe, A. Higuera, T. Hill, S.J. Hillier, A. Himmel, L.R. Hirsch, J. Ho, J. Hoff, A. Holin, E. Hoppe, G.A. Horton-Smith, M. Hostert, A. Hourlier, B. Howard, R. Howell, I. Hristova, M.S. Hronek, J. Huang, J. Hugon, G. Ile, N. Ilic, A.M. Iliescu, R. Illingworth, G. Ingratta, A. Ioannisian, L. Isenhower, R. Itay, A. Izmaylov, C.M. Jackson, V. Jain, E. Jame, W. Jang, B. Jargowsky, F. Jediny, D. Jena, Y.S. Jeong, C. Jes??s-Vall, X. Ji, L. Jiang, S. Jim??nez, A. Jipa, R. Johnson, N. Johnston, B. Jone, S.B. Jone, M. Judah, C.K. Jung, T. Junk, Y. Jwa, M. Kabirnezhad, A. Kaboth, I. Kadenko, D. Kalra, I. Kakorin, A. Kalitkina, F. Kamiya, N. Kaneshige, G. Karagiorgi, G. Karaman, A. Karcher, M. Karolak, Y. Karyotaki, S. Kasai, S.P. Kasetti, L. Kashur, N. Kazaryan, E. Kearn, P. Keener, K.J. Kelly, E. Kemp, O. Kemularia, W. Ketchum, S.H. Kettell, M. Khabibullin, A. Khotjantsev, A. Khvedelidze, D. Kim, B. King, B. Kirby, M. Kirby, J. Klein, K. Koehler, L.W. Koerner, S. Kohn, P.P. Koller, L. Kolupaeva, D. Korablev, M. Kordosky, T. Kosc, U. Kose, V.A. Kosteleck??, K. Kothekar, F. Krennrich, I. Kreslo, W. Kropp, Y. Kudenko, V.A. Kudryavtsev, S. Kulagin, J. Kumar, P. Kumar, P. Kunze, C. Kuruppu, V. Ku, T. Kutter, J. Kvasnicka, D. Kwak, A. Lambert, B.J. Land, K. Lande, C.E. Lane, K. Lang, T. Langford, M. Langstaff, J. Larkin, P. Lasorak, D. Last, C. Lastoria, A. Laundrie, G. Laurenti, A. Lawrence, I. Lazanu, R. LaZur, M. Lazzaroni, T. Le, S. Leardini, J. Learned, P. LeBrun, T. LeCompte, C. Lee, S.Y. Lee, G. Lehmann Miotto, R. Lehnert, M.A. Leigui de Oliveira, M. Leitner, L.M. Lepin, L. Li, S.W. Li, T. Li, Y. Li, H. Liao, C.S. Lin, Q. Lin, S. Lin, J. Ling, A. Lister, B.R. Littlejohn, J. Liu, S. Lockwitz, T. Loew, M. Lokajicek, I. Lomidze, K. Long, K. Loo, T. Lord, J.M. LoSecco, W.C. Loui, X.-G. Lu, K.B. Luk, X. Luo, E. Luppi, N. Lurkin, T. Lux, V.P. Luzio, D. MacFarlane, A.A. Machado, P. Machado, C.T. Macia, J.R. Macier, A. Maddalena, A. Madera, P. Madigan, S. Magill, K. Mahn, A. Maio, A. Major, J.A. Maloney, G. Mandrioli, R.C. Mandujano, J. Maneira, L. Manenti, S. Manly, A. Mann, K. Manolopoulo, M. Manrique Plata, V.N. Manyam, L. Manzanilla, M. Marchan, A. Marchionni, W. Marciano, D. Marfatia, C. Mariani, J. Maricic, R. Marie, F. Marinho, A.D. Marino, D. Marsden, M. Marshak, C.M. Marshall, J. Marshall, J. Marteau, J. Martin-Albo, N. Martinez, D.A. Martinez Caicedo, S. Martynenko, V. Mascagna, K. Mason, A. Mastbaum, M. Masud, F. Matichard, S. Matsuno, J. Matthew, C. Mauger, N. Mauri, K. Mavrokoridi, I. Mawby, R. Mazza, A. Mazzacane, E. Mazzucato, T. McAskill, E. McCluskey, N. McConkey, K.S. McFarland, C. McGrew, A. McNab, A. Mefodiev, P. Mehta, P. Mela, O. Mena, S. Menary, H. Mendez, P. Mendez, D.P. M, A. Menegolli, G. Meng, M.D. Messier, W. Metcalf, T. Mettler, M. Mewe, H. Meyer, T. Miao, G. Michna, T. Miedema, V. Mikola, R. Milincic, G. Miller, W. Miller, J. Mill, C. Milne, O. Mineev, O.G. Miranda, S. Miryala, C.S. Mishra, S.R. Mishra, A. Mislivec, D. Mladenov, I. Mocioiu, K. Moffat, N. Moggi, R. Mohanta, T.A. Mohayai, N. Mokhov, J. Molina, L. Molina Bueno, E. Montagna, A. Montanari, C. Montanari, D. Montanari, L.M. Montano Zetina, J. Moon, S.H. Moon, M. Mooney, A.F. Moor, D. Moreno, C. Morri, C. Mossey, E. Motuk, C.A. Moura, J. Mousseau, G. Mouster, W. Mu, L. Mualem, J. Mueller, M. Muether, S. Mufson, F. Muheim, A. Muir, M. Mulhearn, D. Munford, H. Muramatsu, S. Murphy, J. Musser, J. Nachtman, S. Nagu, M. Nalbandyan, R. Nandakumar, D. Naple, S. Narita, A. Nath, D. Navas-Nicol??, A. Navrer-Agasson, N. Nayak, M. Nebot-Guinot, K. Negishi, J.K. Nelson, J. Nesbit, M. Nessi, D. Newbold, M. Newcomer, D. Newhart, H. Newton, R. Nichol, F. Nicolas-Arnaldo, E. Niner, K. Nishimura, A. Norman, A. Norrick, R. Northrop, P. Novella, J.A. Nowak, M. Oberling, J.P. Ochoa-Ricoux, A. Olivares Del Campo, A. Olivier, A. Olshevskiy, Y. Onel, Y. Onishchuk, J. Ott, L. Pagani, S. Pakvasa, G. Palacio, O. Palamara, S. Palestini, J.M. Paley, M. Pallavicini, C. Palomare, J.L. Palomino-Gallo, W. Panduro Vazquez, E. Pantic, V. Paolone, V. Papadimitriou, R. Papaleo, A. Papanesti, S. Paramesvaran, S. Parke, E. Parozzi, Z. Parsa, M. Parvu, S. Pascoli, L. Pasqualini, J. Pasternak, J. Pater, C. Patrick, L. Patrizii, R.B. Patterson, S.J. Patton, T. Patzak, A. Paudel, B. Paulo, L. Paulucci, Z. Pavlovic, G. Pawloski, D. Payne, V. Pec, S.J.M. Peeter, E. Pennacchio, A. Penzo, O.L.G. Pere, J. Perry, D. Pershey, G. Pessina, G. Petrillo, C. Petta, R. Petti, F. Piastra, L. Pickering, F. Pietropaolo, R. Plunkett, R. Poling, X. Pon, N. Poonthottathil, F. Poppi, S. Porde, J. Porter, M. Potekhin, R. Potenza, B.V.K.S. Potukuchi, J. Pozimski, M. Pozzato, S. Prakash, T. Prakash, M. Prest, S. Prince, F. Psiha, D. Pugnere, X. Qian, M.C. Queiroga Bazetto, J.L. Raaf, V. Radeka, J. Rademacker, B. Radic, A. Rafique, E. Raguzin, M. Rai, M. Rajaoalisoa, I. Rakhno, A. Rakotonandrasana, L. Rakotondravohitra, Y.A. Ramacher, R. Rameika, M.A. Ramirez Delgado, B. Ramson, A. Rappoldi, G. Raselli, P. Ratoff, S. Raut, R.F. Razakamiandra, E. Rea, J.S. Real, B. Rebel, M. Reggiani-Guzzo, T. Rehak, J. Reichenbacher, S.D. Reitzner, H. Rejeb Sfar, A. Renshaw, S. Rescia, F. Resnati, A. Reynold, M. Riba, S. Riboldi, C. Riccio, G. Riccobene, L.C.J. Rice, J. Ricol, A. Rigamonti, Y. Rigaut, D. Rivera, A. Robert, L. Rochester, M. Roda, P. Rodrigue, M.J. Rodriguez Alonso, E. Rodriguez Bonilla, J. Rodriguez Rondon, L.A. Romo Villa, S. Rosauro-Alcaraz, M. Rosenberg, P. Rosier, B. Roskovec, M. Rossella, M. Rossi, J. Rout, P. Roy, S. Roy, A. Rubbia, C. Rubbia, F.C. Rubio, B. Russell, D. Ruterborie, A. Rybnikov, A. Saa-Hernandez, R. Saakyan, S. Sacerdoti, T. Safford, N. Sahu, P. Sala, N. Samio, O. Samoylov, M.C. Sanchez, V. Sandberg, D.A. Sander, D. Sankey, S. Santana, M. Santos-Maldonado, N. Saoulidou, P. Sapienza, C. Sarasty, I. Sarcevic, G. Savage, V. Savinov, A. Scaramelli, A. Scarff, A. Scarpelli, T. Schaffer, H. Schellman, S. Schifano, P. Schlabach, D. Schmitz, K. Scholberg, A. Schukraft, E. Segreto, A. Selyunin, C.R. Senise, J. Sensenig, M. Seoane, I. Seong, A. Sergi, D. Sgalaberna, M.H. Shaevitz, S. Shafaq, M. Shamma, R. Sharankova, H.R. Sharma, R. Sharma, R. Kumar, T. Shaw, C. Shepherd-Themistocleou, A. Sheshukov, S. Shin, I. Shoemaker, D. Shooltz, R. Shrock, H. Siegel, L. Simard, F. Simon, N. Simo, J. Sinclair, G. Sinev, J. Singh, L. Singh, V. Singh, R. Sipo, F.W. Sippach, G. Sirri, A. Sitraka, K. Siyeon, K. Skarpaa, A. Smith, E. Smith, P. Smith, J. Smolik, M. Smy, E.L. Snider, P. Snopok, D. Snowden-Ifft, M. Soares Nune, H. Sobel, M. Soderberg, S. Sokolov, C.J. Solano Salina, S. S??ldner-Rembold, S.R. Soleti, N. Solomey, V. Solovov, W.E. Sondheim, M. Sorel, A. Sotnikov, J. Soto-Oton, A. Sousa, K. Soustruznik, F. Spagliardi, M. Spanu, J. Spitz, N.J.C. Spooner, K. Spurgeon, R. Staley, M. Stancari, L. Stanco, R. Stanley, R. Stein, H.M. Steiner, A.F. Steklain Lisb??a, J. Stewart, B. Stillwell, J. Stock, F. Stocker, T. Stoke, M. Strait, T. Strau, S. Striganov, A. Stuart, J.G. Suarez, H. Sullivan, D. Summer, A. Surdo, V. Susic, L. Suter, C.M. Sutera, R. Svoboda, B. Szczerbinska, A.M. Szelc, H. A. Tanaka, B. Tapia Oregui, A. Tapper, S. Tariq, E. Tatar, R. Tayloe, A.M. Teklu, M. Tenti, K. Terao, C.A. Terne, F. Terranova, G. Testera, T. Thakore, A. Thea, J.L. Thompson, C. Thorn, S.C. Timm, V. Tishchenko, J. Todd, L. Tomassetti, A. Tonazzo, D. Torbunov, M. Torti, M. Tortola, F. Tortorici, N. Tosi, D. Totani, M. Toup, C. Touramani, R. Travaglini, J. Trevor, S. Trilov, W.H. Trzaska, Y. Tsai, Y.-T. Tsai, Z. Tsamalaidze, K.V. Tsang, N. Tsverava, S. Tufanli, C. Tull, E. Tyley, M. Tzanov, L. Uboldi, M.A. Uchida, J. Urheim, T. Usher, S. Uzunyan, M.R. Vagin, P. Vahle, G.A. Valdiviesso, E. Valencia, V. Pia, Z. Vallari, E. Vallazza, J.W.F. Valle, S. Vallecorsa, R. Van Berg, R.G. Van de Water, F. Varanini, D. Varga, G. Varner, J. Vasel, S. Vasina, G. Vasseur, N. Vaughan, K. Vaziri, S. Ventura, A. Verdugo, S. Vergani, M.A. Vermeulen, M. Verzocchi, M. Vicenzi, H. Vieira de Souza, C. Vignoli, C. Vilela, B. Viren, T. Vrba, T. Wachala, A.V. Waldron, M. Wallbank, C. Walli, H. Wang, J. Wang, L. Wang, M.H.L.S. Wang, Y. Wang, K. Warburton, D. Warner, M.O. Wascko, D. Water, A. Watson, P. Weatherly, A. Weber, M. Weber, H. Wei, A. Weinstein, D. Wenman, M. Wetstein, A. White, L.H. Whitehead, D. Whittington, M.J. Wilking, C. Wilkinson, Z. William, F. Wilson, R.J. Wilson, W. Wisniewski, J. Wolcott, T. Wongjirad, A. Wood, K. Wood, E. Worcester, M. Worcester, C. Wret, W. Wu, Y. Xiao, F. Xie, E. Yandel, G. Yang, K. Yang, S. Yang, T. Yang, A. Yankelevich, N. Yershov, K. Yonehara, T. Young, B. Yu, H. Yu, J. Yu, W. Yuan, R. Zaki, J. Zalesak, L. Zambelli, B. Zamorano, A. Zani, L. Zazueta, G.P. Zeller, J. Zennamo, K. Zeug, C. Zhang, M. Zhao, E. Zhivun, G. Zhu, P. Zilberman, E.D. Zimmerman, M. Zito, S. Zucchelli, J. Zuklin, V. Zutshi, R. Zwaska, Abud, A. A., Abi, B., Acciarri, R., Acero, M. A., Adames, M. R., Adamov, G., Adams, D., Adinolfi, M., Aduszkiewicz, A., Aguilar, J., Ahmad, Z., Ahmed, J., Ali-Mohammadzadeh, B., Alion, T., Allison, K., Monsalve, S. A., Alrashed, M., Alt, C., Alton, A., Amedo, P., Anderson, J., Andreopoulos, C., Andreotti, M., Andrews, M. P., Andrianala, F., Andringa, S., Anfimov, N., Ankowski, A., Antoniassi, M., Antonova, M., Antoshkin, A., Antusch, S., Aranda-Fernandez, A., Ariga, A., Arnold, L. O., Arroyave, M. A., Asaadi, J., Asquith, L., Aurisano, A., Aushev, V., Autiero, D., Ayala-Torres, M., Azfar, F., Back, A., Back, H., Back, J. J., Backhouse, C., Baesso, P., Bagaturia, I., Bagby, L., Balashov, N., Balasubramanian, S., Baldi, P., Baller, B., Bambah, B., Barao, F., Barenboim, G., Barker, G. J., Barkhouse, W., Barnes, C., Barr, G., Monarca, J. B., Barros, A., Barros, N., Barrow, J. L., Basharina-Freshville, A., Bashyal, A., Basque, V., Belchior, E., Battat, J. B. R., Battisti, F., Bay, F., Alba, J. L. B., Beacom, J. F., Bechetoille, E., Behera, B., Bellantoni, L., Bellettini, G., Bellini, V., Beltramello, O., Belver, D., Benekos, N., Montiel, C. B., Neves, F. B., Berger, J., Berkman, S., Bernardini, P., Berner, R. M., Berns, H., Bertolucci, S., Betancourt, M., Rodriguez, A. B., Bevan, A., Bezerra, T. J. C., Bhattacharjee, M., Bhuller, S., Bhuyan, B., Biagi, S., Bian, J., Biassoni, M., Biery, K., Bilki, B., Bishai, M., Bitadze, A., Blake, A., Blaszczyk, F. D. M., Blazey, G. C., Blucher, E., Boissevain, J., Bolognesi, S., Bolton, T., Bomben, L., Bonesini, M., Bongrand, M., Bonini, F., Booth, A., Booth, C., Boran, F., Bordoni, S., Borkum, A., Boschi, T., Bostan, N., Bour, P., Bourgeois, C., Boyd, S. B., Boyden, D., Bracinik, J., Braga, D., Brailsford, D., Branca, A., Brandt, A., Bremer, J., Brew, C., Brianne, E., Brice, S. J., Brizzolari, C., Bromberg, C., Brooijmans, G., Brooke, J., Bross, A., Brunetti, G., Brunetti, M., Buchanan, N., Budd, H., Butorov, I., Cagnoli, I., Caiulo, D., Calabrese, R., Calafiura, P., Calcutt, J., Calin, M., Calvez, S., Calvo, E., Caminata, A., Campanelli, M., Cankocak, K., Caratelli, D., Carini, G., Carlus, B., Carneiro, M. F., Carniti, P., Terrazas, I. C., Carranza, H., Carroll, T., Casta, J. 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C., Fahey, K., Falcone, A., Fani, M., Farnese, C., Farzan, Y., Fedoseev, D., Felix, J., Feng, Y., Fernandez-Martinez, E., Menendez, P. F., Morales, M. F., Ferraro, F., Fields, L., Filip, P., Filthaut, F., Fiorentini, A., Fiorini, M., Fitzpatrick, R. S., Flanagan, W., Fleming, B., Flight, R., Forero, D. V., Fowler, J., Fox, W., Franc, J., Francis, K., Franco, D., Freeman, J., Freestone, J., Fried, J., Friedland, A., Robayo, F. F., Fuess, S., Furic, I., Furmanski, A. P., Gabrielli, A., Gago, A., Gallagher, H., Gallas, A., Gallego-Ros, A., Gallice, N., Galymov, V., Gamberini, E., Gamble, T., Ganacim, F., Gandhi, R., Gandrajula, R., Gao, F., Gao, S., Garcia, A. C. B., Garcia-Gamez, D., Garcia-Peris, M. A., Gardiner, S., Gastler, D., Gauvreau, J., Ge, G., Gelli, B., Gendotti, A., Gent, S., Ghorbani-Moghaddam, Z., Giammaria, P., Giammaria, T., Gibin, D., Gil-Botella, I., Gilligan, S., Girerd, C., Giri, A. K., Gnani, D., Gogota, O., Gold, M., Gollapinni, S., Gollwitzer, K., Gomes, R. A., Bermeo, L. V. G., Fajardo, L. S. G., Gonnella, F., Gonzalez-Cuevas, J. A., Diaz, D. G., Gonzalez-Lopez, M., Goodman, M. C., Goodwin, O., Goswami, S., Gotti, C., Goudzovski, E., Grace, C., Graham, M., Gran, R., Granados, E., Granger, P., Grant, A., Grant, C., Gratieri, D., Green, P., Greenler, L., Greer, J., Grenard, J., Griffith, W. C., Groh, M., Grudzinski, J., Grzelak, K., Gu, W., Guardincerri, E., Guarino, V., Guarise, M., Guenette, R., Guerard, E., Guerzoni, M., Guglielmi, A., Guo, B., Guthikonda, K. K., Gutierrez, R., Guzowski, P., Guzzo, M. M., Gwon, S., Ha, C., Habig, A., Hadavand, H., Haenni, R., Hahn, A., Haiston, J., Hamacher-Baumann, P., Hamernik, T., Hamilton, P., Han, J., Harris, D. A., Hartnell, J., Harton, J., Hasegawa, T., Hasnip, C., Hatcher, R., Hatfield, K. W., Hatzikoutelis, A., Hayes, C., Hayrapetyan, K., Hays, J., Hazen, E., He, M., Heavey, A., Heeger, K. M., Heise, J., Hennessy, K., Henry, S., Morquecho, M. A. H., Herner, K., Hertel, L., Hewes, J., Higuera, A., Hill, T., Hillier, S. J., Himmel, A., Hirsch, L. R., Ho, J., Hoff, J., Holin, A., Hoppe, E., Horton-Smith, G. A., Hostert, M., Hourlier, A., Howard, B., Howell, R., Hristova, I., Hronek, M. S., Huang, J., Hugon, J., Iles, G., Ilic, N., Iliescu, A. M., Illingworth, R., Ingratta, G., Ioannisian, A., Isenhower, L., Itay, R., Izmaylov, A., Jackson, C. M., Jain, V., James, E., Jang, W., Jargowsky, B., Jediny, F., Jena, D., Jeong, Y. S., Jesus-Valls, C., Ji, X., Jiang, L., Jimenez, S., Jipa, A., Johnson, R., Johnston, N., Jones, B., Jones, S. B., Judah, M., Jung, C. K., Junk, T., Jwa, Y., Kabirnezhad, M., Kaboth, A., Kadenko, I., Kalra, D., Kakorin, I., Kalitkina, A., Kamiya, F., Kaneshige, N., Karagiorgi, G., Karaman, G., Karcher, A., Karolak, M., Karyotakis, Y., Kasai, S., Kasetti, S. P., Kashur, L., Kazaryan, N., Kearns, E., Keener, P., Kelly, K. J., Kemp, E., Kemularia, O., Ketchum, W., Kettell, S. H., Khabibullin, M., Khotjantsev, A., Khvedelidze, A., Kim, D., King, B., Kirby, B., Kirby, M., Klein, J., Koehler, K., Koerner, L. W., Kohn, S., Koller, P. P., Kolupaeva, L., Korablev, D., Kordosky, M., Kosc, T., Kose, U., Kostelecky, V. A., Kothekar, K., Krennrich, F., Kreslo, I., Kropp, W., Kudenko, Y., Kudryavtsev, V. A., Kulagin, S., Kumar, J., Kumar, P., Kunze, P., Kuruppu, C., Kus, V., Kutter, T., Kvasnicka, J., Kwak, D., Lambert, A., Land, B. J., Lande, K., Lane, C. E., Lang, K., Langford, T., Langstaff, M., Larkin, J., Lasorak, P., Last, D., Lastoria, C., Laundrie, A., Laurenti, G., Lawrence, A., Lazanu, I., Lazur, R., Lazzaroni, M., Le, T., Leardini, S., Learned, J., Lebrun, P., Lecompte, T., Lee, C., Lee, S. Y., Miotto, G. L., Lehnert, R., de Oliveira, M. A. L., Leitner, M., Lepin, L. M., Li, L., Li, S. W., Li, T., Li, Y., Liao, H., Lin, C. S., Lin, Q., Lin, S., Ling, J., Lister, A., Littlejohn, B. R., Liu, J., Lockwitz, S., Loew, T., Lokajicek, M., Lomidze, I., Long, K., Loo, K., Lord, T., Losecco, J. M., Louis, W. C., Lu, X. -G., Luk, K. B., Luo, X., Luppi, E., Lurkin, N., Lux, T., Luzio, V. P., Macfarlane, D., Machado, A. A., Machado, P., Macias, C. T., Macier, J. R., Maddalena, A., Madera, A., Madigan, P., Magill, S., Mahn, K., Maio, A., Major, A., Maloney, J. A., Mandrioli, G., Mandujano, R. C., Maneira, J., Manenti, L., Manly, S., Mann, A., Manolopoulos, K., Plata, M. M., Manyam, V. N., Manzanillas, L., Marchan, M., Marchionni, A., Marciano, W., Marfatia, D., Mariani, C., Maricic, J., Marie, R., Marinho, F., Marino, A. D., Marsden, D., Marshak, M., Marshall, C. M., Marshall, J., Marteau, J., Martin-Albo, J., Martinez, N., Caicedo, D. A. M., Martynenko, S., Mascagna, V., Mason, K., Mastbaum, A., Masud, M., Matichard, F., Matsuno, S., Matthews, J., Mauger, C., Mauri, N., Mavrokoridis, K., Mawby, I., Mazza, R., Mazzacane, A., Mazzucato, E., Mcaskill, T., Mccluskey, E., Mcconkey, N., Mcfarland, K. S., Mcgrew, C., Mcnab, A., Mefodiev, A., Mehta, P., Melas, P., Mena, O., Menary, S., Mendez, H., Mendez, P., Menegolli, A., Meng, G., Messier, M. D., Metcalf, W., Mettler, T., Mewes, M., Meyer, H., Miao, T., Michna, G., Miedema, T., Mikola, V., Milincic, R., Miller, G., Miller, W., Mills, J., Milne, C., Mineev, O., Miranda, O. G., Miryala, S., Mishra, C. S., Mishra, S. R., Mislivec, A., Mladenov, D., Mocioiu, I., Moffat, K., Moggi, N., Mohanta, R., Mohayai, T. A., Mokhov, N., Molina, J., Bueno, L. M., Montagna, E., Montanari, A., Montanari, C., Montanari, D., Zetina, L. M. M., Moon, J., Moon, S. H., Mooney, M., Moor, A. F., Moreno, D., Morris, C., Mossey, C., Motuk, E., Moura, C. A., Mousseau, J., Mouster, G., Mu, W., Mualem, L., Mueller, J., Muether, M., Mufson, S., Muheim, F., Muir, A., Mulhearn, M., Munford, D., Muramatsu, H., Murphy, S., Musser, J., Nachtman, J., Nagu, S., Nalbandyan, M., Nandakumar, R., Naples, D., Narita, S., Nath, A., Navas-Nicolas, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Negishi, K., Nelson, J. K., Nesbit, J., Nessi, M., Newbold, D., Newcomer, M., Newhart, D., Newton, H., Nichol, R., Nicolas-Arnaldos, F., Niner, E., Nishimura, K., Norman, A., Norrick, A., Northrop, R., Novella, P., Nowak, J. A., Oberling, M., Ochoa-Ricoux, J. P., Del Campo, A. O., Olivier, A., Olshevskiy, A., Onel, Y., Onishchuk, Y., Ott, J., Pagani, L., Pakvasa, S., Palacio, G., Palamara, O., Palestini, S., Paley, J. M., Pallavicini, M., Palomares, C., Palomino-Gallo, J. L., Vazquez, W. 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A., Sankey, D., Santana, S., Santos-Maldonado, M., Saoulidou, N., Sapienza, P., Sarasty, C., Sarcevic, I., Savage, G., Savinov, V., Scaramelli, A., Scarff, A., Scarpelli, A., Schaffer, T., Schellman, H., Schifano, S., Schlabach, P., Schmitz, D., Scholberg, K., Schukraft, A., Segreto, E., Selyunin, A., Senise, C. R., Sensenig, J., Seoane, M., Seong, I., Sergi, A., Sgalaberna, D., Shaevitz, M. H., Shafaq, S., Shamma, M., Sharankova, R., Sharma, H. R., Sharma, R., Kumar, R., Shaw, T., Shepherd-Themistocleous, C., Sheshukov, A., Shin, S., Shoemaker, I., Shooltz, D., Shrock, R., Siegel, H., Simard, L., Simon, F., Simos, N., Sinclair, J., Sinev, G., Singh, J., Singh, L., Singh, V., Sipos, R., Sippach, F. W., Sirri, G., Sitraka, A., Siyeon, K., Skarpaas, K., Smith, A., Smith, E., Smith, P., Smolik, J., Smy, M., Snider, E. L., Snopok, P., Snowden-Ifft, D., Nunes, M. S., Sobel, H., Soderberg, M., Sokolov, S., Salinas, C. J. S., Soldner-Rembold, S., Soleti, S. R., Solomey, N., Solovov, V., Sondheim, W. E., Sorel, M., Sotnikov, A., Soto-Oton, J., Sousa, A., Soustruznik, K., Spagliardi, F., Spanu, M., Spitz, J., Spooner, N. J. C., Spurgeon, K., Staley, R., Stancari, M., Stanco, L., Stanley, R., Stein, R., Steiner, H. M., Lisboa, A. F. S., Stewart, J., Stillwell, B., Stock, J., Stocker, F., Stokes, T., Strait, M., Strauss, T., Striganov, S., Stuart, A., Suarez, J. G., Sullivan, H., Summers, D., Surdo, A., Susic, V., Suter, L., Sutera, C. M., Svoboda, R., Szczerbinska, B., Szelc, A. M., Tanaka, H. A., Oregui, B. T., Tapper, A., Tariq, S., Tatar, E., Tayloe, R., Teklu, A. M., Tenti, M., Terao, K., Ternes, C. A., Terranova, F., Testera, G., Thakore, T., Thea, A., Thompson, J. L., Thorn, C., Timm, S. C., Tishchenko, V., Todd, J., Tomassetti, L., Tonazzo, A., Torbunov, D., Torti, M., Tortola, M., Tortorici, F., Tosi, N., Totani, D., Toups, M., Touramanis, C., Travaglini, R., Trevor, J., Trilov, S., Trzaska, W. H., Tsai, Y., Tsai, Y. -T., Tsamalaidze, Z., Tsang, K. V., Tsverava, N., Tufanli, S., Tull, C., Tyley, E., Tzanov, M., Uboldi, L., Uchida, M. A., Urheim, J., Usher, T., Uzunyan, S., Vagins, M. R., Vahle, P., Valdiviesso, G. A., Valencia, E., Pia, V., Vallari, Z., Vallazza, E., Valle, J. W. F., Vallecorsa, S., van Berg, R., van de Water, R. G., Varanini, F., Vargas, D., Varner, G., Vasel, J., Vasina, S., Vasseur, G., Vaughan, N., Vaziri, K., Ventura, S., Verdugo, A., Vergani, S., Vermeulen, M. A., Verzocchi, M., Vicenzi, M., de Souza, H. V., Vignoli, C., Vilela, C., Viren, B., Vrba, T., Wachala, T., Waldron, A. V., Wallbank, M., Wallis, C., Wang, H., Wang, J., Wang, L., Wang, M. H. L. S., Wang, Y., Warburton, K., Warner, D., Wascko, M. O., Waters, D., Watson, A., Weatherly, P., Weber, A., Weber, M., Wei, H., Weinstein, A., Wenman, D., Wetstein, M., White, A., Whitehead, L. H., Whittington, D., Wilking, M. J., Wilkinson, C., Williams, Z., Wilson, F., Wilson, R. 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D., Zito, M., Zucchelli, S., Zuklin, J., Zutshi, V., Zwaska, R., Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), UK Research and Innovation, Abud, A, Abi, B, Acciarri, R, Acero, M, Adames, M, Adamov, G, Adams, D, Adinolfi, M, Aduszkiewicz, A, Aguilar, J, Ahmad, Z, Ahmed, J, Ali-Mohammadzadeh, B, Alion, T, Allison, K, Monsalve, S, Alrashed, M, Alt, C, Alton, A, Amedo, P, Anderson, J, Andreopoulos, C, Andreotti, M, Andrews, M, Andrianala, F, Andringa, S, Anfimov, N, Ankowski, A, Antoniassi, M, Antonova, M, Antoshkin, A, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, L, Arroyave, M, Asaadi, J, Asquith, L, Aurisano, A, Aushev, V, Autiero, D, Ayala-Torres, M, 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Subjects
Technology, Physics - Instrumentation and Detectors, gas and liquid scintillators), Noble liquid detectors (scintillation, ionization, double-phase), 7. Clean energy, 01 natural sciences, 09 Engineering, High Energy Physics - Experiment, Visible and IR Photons (Solid-State) (PIN Diodes, APDs, Si-PMTs, G-APDs, CCDs, EBCCDs, EMCCDs, CMOS imagers, etc.), High Energy Physics - Experiment (hep-ex), Noble liquid detectors (scintillation, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], APDs, Detectors and Experimental Techniques, physics.ins-det, Instrumentation, Instruments & Instrumentation, Photon detectors for UV, QC, Mathematical Physics, 02 Physical Sciences, Scintillation and light emission processes (solid, EBCCDs, scintillation and light emission processes (solid, gas and liquid scintillators), irradiation, Photon detectors for UV, visible and IR photons (solid-state) (PIN diodes, APDs, Si-PMTs, G-APDs, CCDs, EBCCDs, EMCCDs, CMOS imagers, etc), Si-PMTs, Instrumentation and Detectors (physics.ins-det), Scintillators, scintillation and light emission processes (solid, gas and liquid scintillators), double-phase), Nuclear & Particles Physics, LIGHT, Scintillation and light emission processes (solid, gas, liquid scintillators), Scintillators, Time projection Chambers (TPC), Visible and IR photons (solid-state) (PIN diodes, APDs, Si-PMTs, G-APDs, CCDs, EBCCDs, EMCCDs, CMOS imagers, etc), G-APDs, Particle Physics - Experiment, performance, CERN Lab, FOS: Physical sciences, fabrication, Visible and IR photons (solid-state) (PIN diodes, gas, 0103 physical sciences, ionization, liquid scintillators), [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], High Energy Physics, 010306 general physics, CMOS imagers, Noble Liquid Detectors (Scintillation, Ionization, Double-Phase), activity report, detector: design, etc), Science & Technology, DUNE, hep-ex, 010308 nuclear & particles physics, visible and IR photons (solid-state) (PIN diodes, APDs, Si-PMTs, G-APDs, CCDs, EBCCDs, EMCCDs, CMOS imagers, etc), Física, CCDs, Scintillator, time projection chamber: liquid argon, Scintillation and Light Emission Processes (Solid, Gas and Liquid Scintillators), Noble liquid detectors (scintillation, ionization, double-phase), Photon detectors for UV, Scintillation and light emission processes (solid, gas, liquid scintillators), Scintillators, Time projection Chambers (TPC), Visible and IR photons (solid-state) (PIN diodes, APDs, Si-PMTs, G-APDs, CCDs, EBCCDs, EMCCDs, CMOS imagers, etc), EMCCDs, Experimental High Energy Physics
Abstract

The ProtoDUNE-SP detector was constructed and operated on the CERN Neutrino Platform. We gratefully acknowledge the support of the CERN management, and the CERN EP, BE, TE, EN and IT Departments for NP04/ProtoDUNE-SP. This document was prepared by the DUNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. This work was supported by CNPq, FAPERJ, FAPEG and FAPESP, Brazil; CFI, IPP and NSERC, Canada; CERN; MŠMT, Czech Republic; ERDF, H2020-EU and MSCA, European Union; CNRS/IN2P3 and CEA, France; INFN, Italy; FCT, Portugal; NRF, South Korea; CAM, Fundación “La Caixa”, Junta de Andalucía-FEDER, and MICINN, Spain; SERI and SNSF, Switzerland; TÜBİTAK, Turkey; The Royal Society and UKRI/STFC, United Kingdom; DOE and NSF, United States of America. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231., The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 × 6 × 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. ProtoDUNE-SP's successful operation between 2018 and 2020 demonstrates the effectiveness of the single-phase far detector design. This paper describes the design, construction, assembly and operation of the detector components., Fermi Research Alliance, LLC DE-AC02-07CH11359, H2020-EU, National Science Foundation, U.S. Department of Energy DE-AC02-05CH11231, Office of Science, Fermilab, H2020 Marie Skłodowska-Curie Actions, CERN, UK Research and Innovation, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council, Royal Society, European Commission, Singapore Eye Research Institute, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Fundação de Amparo à Pesquisa do Estado de São Paulo, Fundação para a Ciência e a Tecnologia, Conselho Nacional de Desenvolvimento Científico e Tecnológico, National Research Foundation of Korea, Instituto Nazionale di Fisica Nucleare, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Centre National de la Recherche Scientifique, Ministerio de Ciencia e Innovación, Fundação de Amparo à Pesquisa do Estado de Goiás, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, European Regional Development Fund, Junta de Andalucía, Institut National de Physique Nucléaire et de Physique des Particules

Published
2022

43. Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data

Author

Abratenko, P, An, R, Anthony, J, Asaadi, J, Ashkenazi, A, Balasubramanian, S, Baller, B, Barnes, C, Barr, G, Basque, V, Bathe-Peters, L, Benevides Rodrigues, O, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Caro Terrazas, I, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anad��n, JI, Del Tutto, M, Dennis, Steve, Devitt, D, Diurba, R, Dorrill, R, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Evans, JJ, Fine, R, Fiorentini Aguirre, GA, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, 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, GA, Hourlier, A, Itay, R, James, C, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Jwa, YJ, 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, BR, Louis, WC, Luo, X, Manivannan, K, Mariani, C, Marsden, D, Marshall, J, Martinez Caicedo, DA, Mason, K, Mastbaum, A, McConkey, N, Meddage, V, Mettler, T, Miller, K, Mills, J, Mistry, K, Dennis, Steve [0000-0001-9099-8895], and Apollo - University of Cambridge Repository

Subjects
Physics::Instrumentation and Detectors, Regular Article - Experimental Physics, Other experiments
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 93.7% 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 νμCC interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.

Published
2021

44. 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, Benevides Rodrigues, O, Berkman, S, Bhanderi, A, Bhat, A, Bishai, M, Blake, A, Bolton, T, Camilleri, L, Caratelli, D, Caro Terrazas, I, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, Y, Church, E, Cianci, D, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Dennis, SR, Devitt, D, Diurba, R, Dorrill, R, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Evans, JJ, Fine, R, Fiorentini Aguirre, GA, Fitzpatrick, RS, Fleming, BT, Foppiani, N, Franco, D, Furmanski, AP, 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, GA, Hourlier, A, Itay, R, James, C, Ji, X, Jiang, L, Jo, JH, Johnson, RA, Jwa, YJ, 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, BR, Louis, WC, Luo, X, Manivannan, K, Mariani, C, Marsden, D, Marshall, J, Martinez Caicedo, DA, Mason, K, Mastbaum, A, McConkey, N, Meddage, V, Mettler, T, Miller, K, Mills, J, Dennis, Steve [0000-0001-9099-8895], and Apollo - University of Cambridge Repository

Subjects
Charge transport and multiplication in liquid media, Time projection Chambers (TPC), Noble liquid detectors (scintillation, ionization, double-phase)
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, DL, 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 ∼70,000 through-going cosmic ray muon tracks tagged with MicroBooNE's cosmic ray tagger system, we measure DL = 3.74+0.28 -0.29 cm2/s.

Published
2021
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45. Cosmic ray background removal with deep neural networks in SBND

Author

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

Subjects
Physics::Instrumentation and Detectors, Astrophysics::High Energy Astrophysical Phenomena, High Energy Physics::Experiment
Abstract

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

Published
2021

46. Search for electron-antineutrinos associated with gravitational-wave events GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817 at Daya Bay * *Daya Bay is supported in part by the Ministry of Science and Technology of China, the U.S. Department of Energy, the Chinese Academy of Sciences, the CAS Center for Excellence in Particle Physics, the National Natural Science Foundation of China, the Guangdong provincial government, the Shenzhen municipal government, the China General Nuclear Power Group, Key Laboratory of Particle and Radiation Imaging (Tsinghua University), the Ministry of Education, Key Laboratory of Particle Physics and Particle Irradiation (Shandong University), the Ministry of Education, Shanghai Laboratory for Particle Physics and Cosmology, the Research Grants Council of the Hong Kong Special Administrative Region of China, the University Development Fund of the University of Hong Kong, the MOE program for Research of Excellence at National Taiwan University, National Chia

Author

An, FP, Balantekin, AB, Band, HR, Bishai, M, Blyth, S, Cao, GF, Cao, J, Chang, JF, Chang, Y, Chen, HS, Chen, SM, Chen, Y, Chen, YX, Cheng, J, Cheng, ZK, Cherwinka, JJ, Chu, MC, Cummings, JP, Dalager, O, Deng, FS, Ding, YY, Diwan, MV, Dohnal, T, Dove, J, Dvořák, M, Dwyer, DA, Gallo, JP, Gonchar, M, Gong, GH, Gong, H, Gu, WQ, Guo, JY, Guo, L, Guo, XH, Guo, YH, Guo, Z, Hackenburg, RW, Hans, S, He, M, Heeger, KM, Heng, YK, Higuera, A, Hor, YK, Hsiung, YB, Hu, BZ, Hu, JR, Hu, T, Hu, ZJ, Huang, HX, Huang, XT, Huang, YB, Huber, P, Jaffe, DE, Jen, KL, Ji, XL, Ji, XP, Johnson, RA, Jones, D, Kang, L, Kettell, SH, Kohn, S, Kramer, M, Langford, TJ, Lee, J, Lee, JHC, Lei, RT, Leitner, R, Leung, JKC, Li, F, Li, JJ, Li, QJ, Li, S, Li, SC, Li, WD, Li, XN, Li, XQ, Li, YF, Li, ZB, Liang, H, Lin, CJ, Lin, GL, Lin, S, Ling, JJ, Link, JM, Littenberg, L, Littlejohn, BR, Liu, JC, Liu, JL, Lu, C, Lu, HQ, Lu, JS, Luk, KB, B., X, Y., X, Q., Y, Marshall, C, Caicedo, DA Martinez, McDonald, KT, McKeown, RD, and Meng, Y

Subjects
astro-ph.HE, Particle and Plasma Physics, gravitational waves, hep-ex, fluence, Molecular, Nuclear, electron-antineutrinos, upper limit, physics.ins-det, Atomic, Nuclear & Particles Physics
Abstract

The establishment of a possible connection between neutrino emission and gravitational-wave (GW) bursts is important to our understanding of the physical processes that occur when black holes or neutron stars merge. In the Daya Bay experiment, using the data collected from December 2011 to August 2017, a search was performed for electron-Antineutrino signals that coincided with detected GW events, including GW150914, GW151012, GW151226, GW170104, GW170608, GW170814, and GW170817. We used three time windows of 10, 500, and 1000 s relative to the occurrence of the GW events and a neutrino energy range of 1.8 to 100 MeV to search for correlated neutrino candidates. The detected electron-Antineutrino candidates were consistent with the expected background rates for all the three time windows. Assuming monochromatic spectra, we found upper limits (90% confidence level) of the electron-Antineutrino fluence of (1.13-2.44)×1011 cm-2 at 5 MeV to 8.0×107 cm-2 at 100 MeV for the three time windows. Under the assumption of a Fermi-Dirac spectrum, the upper limits were found to be (5.4-7.0)×109 cm-2 for the three time windows.

Published
2021

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

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, Castillo Fernandez, R, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Del Tutto, M, Devitt, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, de Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, Mettler, T, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, and Moore, CD

Subjects
Quantum Physics, Particle and Plasma Physics, Physics::Instrumentation and Detectors, hep-ex, Molecular, High Energy Physics::Experiment, Nuclear, 5106 Nuclear and Plasma Physics, physics.ins-det, Nuclear & Particles Physics, Atomic, 51 Physical Sciences, 5107 Particle and High Energy Physics
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 $$800~\hbox {MeV}$$ 800 MeV , using an exposure corresponding to $$ 5.0\times 10^{19}$$ 5.0 × 10 19 protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.

Published
2020
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48. Ionization electron signal processing in single phase LArTPCs. Part I. Algorithm Description and quantitative evaluation with MicroBooNE simulation

Author

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, RC, Cavanna, F, Cerati, G, Chen, H, Chen, Y, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Cooper-Troendle, L, Crespo-Anadón, JI, Tutto, MD, Devitt, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Sanchez, LE, Esquivel, J, Evans, JJ, Fadeeva, AA, Fleming, BT, Foreman, W, Furmanski, AP, Garcia-Gamez, D, Garvey, GT, Genty, V, Goeldi, D, Gollapinni, S, Gramellini, E, Greenlee, H, Grosso, R, Guenette, R, Guzowski, P, Hackenburg, A, Hamilton, P, Hen, O, Hewes, J, Hill, C, Ho, J, Horton-Smith, GA, Hourlier, A, Huang, EC, James, C, De Vries, JJ, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, YJ, Kaleko, D, Karagiorgi, G, Ketchum, W, Kirby, B, Kirby, M, Kobilarcik, T, Kreslo, I, Li, Y, Lister, A, Littlejohn, BR, Lockwitz, S, Lorca, D, Louis, WC, Luethi, M, Lundberg, B, Luo, X, Marchionni, A, Marcocci, S, Mariani, C, Marshall, J, Caicedo, DAM, Mastbaum, A, Meddage, V, Miceli, T, Mills, GB, Mogan, A, Moon, J, Mooney, M, Moore, CD, and Apollo - University of Cambridge Repository

Subjects
Engineering, hep-ex, Physics::Instrumentation and Detectors, Time projection chambers, Physical Sciences, Data processing methods, Neutrino detectors, nucl-ex, physics.ins-det, Nuclear & Particles Physics
Abstract

© 2018 IOP Publishing Ltd and Sissa Medialab. 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.

Published
2020
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49. Long-baseline neutrino oscillation physics potential of the DUNE experiment

Author

Collaboration, DUNE, Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Monsalve, SA, Alt, C, Anderson, J, Andreopoulos, C, Andrews, MP, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bagby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenboim, G, Barker, GJ, Barkhouse, W, Barnes, C, Barr, G, Monarca, JB, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Alba, JLB, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benekos, N, Neves, FB, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Biery, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Siffert, BB, Blaszczyk, FDM, Blazey, GC, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, SB, Boyden, D, Bracinik, J, Braga, D, Brailsford, D, Brandt, A, Bremer, J, Brew, C, Brianne, E, Brice, SJ, Brizzolari, C, Bromberg, C, Brooijmans, G, Brooke, J, Bross, A, Brunetti, G, Buchanan, N, Budd, H, Caiulo, D, Calafiura, P, Calcutt, J, Calin, M, Calvez, S, Calvo, E, Camilleri, L, Caminata, A, Campanelli, M, Caratelli, D, Carini, G, Carlus, B, Carniti, P, Terrazas, IC, Carranza, H, Castillo, A, Castromonte, C, Cattadori, C, Cavalier, F, Cavanna, F, Centro, S, Cerati, G, Cervelli, A, Villanueva, AC, Chalifour, M, Chang, C, Chardonnet, E, Chatterjee, A, Chattopadhyay, S, Chaves, J, Chen, H, Chen, M, Chen, Y, Cherdack, D, Chi, C, Childress, S, Chiriacescu, A, Cho, K, Choubey, S, Christensen, A, Christian, D, Christodoulou, G, Church, E, Clarke, P, Coan, TE, Cocco, AG, Coelho, JAB, Conley, E, Conrad, JM, Convery, M, Corwin, L, Cotte, P, Cremaldi, L, Cremonesi, L, Crespo-Anadón, JI, Cristaldo, E, Cross, R, Cuesta, C, Cui, Y, Cussans, D, Dabrowski, M, Motta, HD, Peres, LDS, David, C, David, Q, Davies, GS, Davini, S, Dawson, J, De, K, Almeida, RMD, Debbins, P, Bonis, ID, Decowski, MP, Gouvêa, AD, Holanda, PCD, Astiz, ILDI, Deisting, A, Jong, PD, Delbart, A, Delepine, D, Delgado, M, Dell'Acqua, A, Lurgio, PD, Neto, JRTDM, DeMuth, DM, Dennis, S, Densham, C, Deptuch, G, Roeck, AD, Romeri, VD, Vries, JJD, Dharmapalan, R, Dias, M, Diaz, F, Díaz, JS, Domizio, SD, Giulio, LD, Ding, P, Noto, LD, Distefano, C, Diurba, R, Diwan, M, Djurcic, Z, Dokania, N, Dolinski, MJ, Domine, L, Douglas, D, Drielsma, F, Duchesneau, D, Duffy, K, Dunne, P, Durkin, T, Duyang, H, Dvornikov, O, Dwyer, DA, Dyshkant, AS, Eads, M, Edmunds, D, Eisch, J, Emery, S, Ereditato, A, Escobar, CO, Sanchez, LE, Evans, JJ, Ewart, E, Ezeribe, AC, Fahey, K, Falcone, A, Farnese, C, Farzan, Y, Felix, J, Fernandez-Martinez, E, Menendez, PF, Ferraro, F, Fields, L, Filkins, A, Filthaut, F, Fitzpatrick, RS, Flanagan, W, Fleming, B, Flight, R, Fowler, J, Fox, W, Franc, J, Francis, K, Franco, D, Freeman, J, Freestone, J, Fried, J, Friedland, A, Fuess, S, Furic, I, Furmanski, AP, Gago, A, Gallagher, H, Gallego-Ros, A, Gallice, N, Galymov, V, Gamberini, E, Gamble, T, Gandhi, R, Gandrajula, R, Gao, S, Garcia-Gamez, D, García-Peris, MÁ, Gardiner, S, Gastler, D, Ge, G, Gelli, B, Gendotti, A, Gent, S, Ghorbani-Moghaddam, Z, Gibin, D, Gil-Botella, I, Girerd, C, Giri, AK, Gnani, D, Gogota, O, Gold, M, Gollapinni, S, Gollwitzer, K, Gomes, RA, Bermeo, LVG, Fajardo, LSG, Gonnella, F, Gonzalez-Cuevas, JA, Goodman, MC, Goodwin, O, Goswami, S, Gotti, C, Goudzovski, E, Grace, C, Graham, M, Gramellini, E, Gran, R, Granados, E, Grant, A, Grant, C, Gratieri, D, Green, P, Green, S, Greenler, L, Greenwood, M, Greer, J, Griffith, WC, Groh, M, Grudzinski, J, Grzelak, K, Gu, W, Guarino, V, Guenette, R, Guglielmi, A, Guo, B, Guthikonda, KK, Gutierrez, R, Guzowski, P, Guzzo, MM, Gwon, S, Habig, A, Hackenburg, A, Hadavand, H, Haenni, R, Hahn, A, Haigh, J, Haiston, J, Hamernik, T, Hamilton, P, Han, J, Harder, K, Harris, DA, Hartnell, J, Hasegawa, T, Hatcher, R, Hazen, E, Heavey, A, Heeger, KM, Heise, J, Hennessy, K, Henry, S, Morquecho, MAH, Herner, K, Hertel, L, Hesam, AS, Hewes, J, Higuera, A, Hill, T, Hillier, SJ, Himmel, A, Hoff, J, Hohl, C, Holin, A, Hoppe, E, Horton-Smith, GA, Hostert, M, Hourlier, A, Howard, B, Howell, R, Huang, J, Hugon, J, Iles, G, Ilic, N, Iliescu, AM, Illingworth, R, Ioannisian, A, Itay, R, Izmaylov, A, James, E, Jargowsky, B, Jediny, F, Jesùs-Valls, C, Ji, X, Jiang, L, Jiménez, S, Jipa, A, Joglekar, A, Johnson, C, Johnson, R, Jones, B, Jones, S, Jung, CK, Junk, T, Jwa, Y, Kabirnezhad, M, Kaboth, A, Kadenko, I, Kamiya, F, Karagiorgi, G, Karcher, A, Karolak, M, Karyotakis, Y, Kasai, S, Kasetti, SP, Kashur, L, Kazaryan, N, Kearns, E, Keener, P, Kelly, KJ, Kemp, E, Ketchum, W, Kettell, SH, 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AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), DUNE, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), and Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)

Subjects
interaction: model, Regular Article - Experimental Physics, Physics::Instrumentation and Detectors, far detector, FOS: Physical sciences, lcsh:Astrophysics, neutrino: flux, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), near detector, lcsh:QB460-466, CP: violation, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], lcsh:Nuclear and particle physics. Atomic energy. Radioactivity, 0206 Quantum Physics, neutrino: interaction, detector: design, Particle Physics - Phenomenology, hep-ex, High Energy Physics::Phenomenology, hep-ph, sensitivity, neutrino: mixing angle, Nuclear & Particles Physics, deep underground detector, High Energy Physics - Phenomenology, neutrino: detector, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], 0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics, lcsh:QC770-798, High Energy Physics::Experiment, neutrino: oscillation, nuclear reactor, numerical calculations: Monte Carlo, Particle Physics - Experiment, neutrino: mass: hierarchy, experimental results
Abstract

The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and parameterized analysis of the near detector. Detailed uncertainties due to the flux prediction, neutrino interaction model, and detector effects are included. DUNE will resolve the neutrino mass ordering to a precision of 5$\sigma$, for all $\delta_{\mathrm{CP}}$ values, after 2 years of running with the nominal detector design and beam configuration. It has the potential to observe charge-parity violation in the neutrino sector to a precision of 3$\sigma$ (5$\sigma$) after an exposure of 5 (10) years, for 50\% of all $\delta_{\mathrm{CP}}$ values. It will also make precise measurements of other parameters governing long-baseline neutrino oscillation, and after an exposure of 15 years will achieve a similar sensitivity to $\sin^{2} 2\theta_{13}$ to current reactor experiments., Comment: arXiv admin note: substantial text overlap with arXiv:2002.03005; Updated after referee comments

Published
2020

50. DUNE Far Detector Technical Design Report, Volume I. Introduction to DUNE

Author

Abi, B, Acciarri, R, Acero, MA, Adamov, G, Adams, D, Adinolfi, M, Ahmad, Z, Ahmed, J, Alion, T, Monsalve, SA, Alt, C, Anderson, J, Andreopoulos, C, Andrews, M, Andrianala, F, Andringa, S, Ankowski, A, Antonova, M, Antusch, S, Aranda-Fernandez, A, Ariga, A, Arnold, LO, Arroyave, MA, Asaadi, J, Aurisano, A, Aushev, V, Autiero, D, Azfar, F, Back, H, Back, JJ, Backhouse, C, Baesso, P, Bayby, L, Bajou, R, Balasubramanian, S, Baldi, P, Bambah, B, Barao, F, Barenhoim, G, Barker, G, Barkhouse, W, Barnes, C, Barr, G, Monarca, JB, Barros, N, Barrow, JL, Bashyal, A, Basque, V, Bay, F, Alba, JB, Beacom, JF, Bechetoille, E, Behera, B, Bellantoni, L, Bellettini, G, Bellini, V, Beltramello, O, Belver, D, Benckos, N, Neves, FB, Berger, J, Berkman, S, Bernardini, P, Berner, RM, Berns, H, Bertolucci, S, Betancourt, M, Bezawada, Y, Bhattacharjee, M, Bhuyan, B, Biagi, S, Bian, J, Biassoni, M, Bierv, K, Bilki, B, Bishai, M, Bitadze, A, Blake, A, Siffert, BB, Blaszczyk, F, Blazey, G, Blucher, E, Boissevain, J, Bolognesi, S, Bolton, T, Bonesini, M, Bongrand, M, Bonini, F, Booth, A, Booth, C, Bordoni, S, Borkum, A, Boschi, T, Bostan, N, Bour, P, Boyd, S, Bovden, D, Bracinik, J, Braga, D, Brailsford, D, Brandt, A, Bremer, J, Brew, C, Brianne, E, Brice, SJ, Brizzolari, Bromherg, C, Brooijmans, G, Brooke, J, Bross, A, Brunetti, G, Buchanan, N, Budd, H, Caiulo, D, Calaftura, P, Calcutt, J, Calin, M, Calvez, S, Calvo, E, Camilleri, L, Caminata, A, Campanelli, M, Caratelli, D, Carini, G, Carlus, B, Carniti, P, Terrazas, IC, Carranza, H, Castillo, A, Castromonte, C, Cattadori, C, Cavalier, F, Cavanna, F, Centro, S, Cerati, G, Cervelli, A, Cervera Villanueva, A, Chalifour, M, Chang, C, Chardonnet, E, Chatterjee, A, Chattopadhyay, S, Chaves, J, Chen, H, Chen, M, Chen, Y, Cherdack, D, Chi, C, Childress, S, Chiriacescu, A, Cho, K, Choubey, S, Christensen, A, Christian, D, Christodoulou, G, Church, E, Clarke, P, Coan, TE, Cocco, AG, Coelho, J, Conley, E, Conrad, J, Convery, M, Corwin, L, Cotte, P, Cremaldi, L, Cremonesi, L, Crespo-Anadon, JI, Cristaldo, E, Cross, R, Cuesta, C, Cui, Y, Cussans, D, Dahrowski, M, Da Motta, H, Da Silva Peres, L, David, Q, Davies, GS, Davini, S, Dawson, J, De, K, De Almeida, RM, Debbins, P, De Bonis, I, Decowski, M, De Gouvea, A, De Holanda, PC, Astiz, ILDI, Deistin, A, De Jong, P, Delbart, A, Delepine, D, Delgado, M, Dell'Acqua, A, De Lurgio, P, De Mello Neto, JR, DeMuth, DM, Dennis, S, Densham, C, Deptuch, G, De Roeck, A, De Romeri, V, De Vries, J, Dharmapalan, R, Dias, M, Diaz, F, Diaz, J, Di Domizio, S, Di Giulio, L, Ding, P, Di Noto, L, Distefano, C, Diurba, R, Diwan, M, Djurcic, Z, Dokania, N, Dolinski, M, Domine, L, Douglas, D, Drielsma, F, Duchesneau, D, Duffy, K, Dunne, P, Durkin, T, Duyang, H, Dvornikov, O, Dwyer, D, Dyshkant, A, Eads, M, Edmunds, D, Eisch, J, Emery, S, Ereditato, A, Escobar, C, Escudero Sanchez, L, Evans, JJ, Ewart, E, Ezeribe, AC, Fahey, K, Falcone, A, Farnese, C, Farzan, Y, Felix, J, Fernandez-Martinez, E, Menendez, PF, Ferraro, F, Fields, L, Filkins, A, Filthaut, F, Fitzpatrick, RS, Flanagan, W, Fleming, B, Flight, R, Fowler, J, Fox, W, Franc, J, Francis, K, Franco, D, Freeman, J, Freestone, J, Fried, J, Friedland, A, Fuess, S, Furic, I, Furmanski, AP, Gago, A, Gallagher, H, Gallego-Ros, A, Gallice, N, Galymov, V, Gamberini, E, Gamble, T, Gandhi, R, Gandrajula, R, Gao, S, Garcia-Gamez, D, Garcia-Peris, MA, Gardiner, S, Gastler, D, Ge, G, Gelli, B, Gendotti, A, Gent, S, Ghorbani-Moghaddam, Z, Gibin, D, Gil-Botella, L, Girerd, C, Giri, A, Gnani, D, Gogota, O, Gold, M, Gollapinni, S, Gollwitzer, K, Gomes, RA, Bermeo, LG, Fajardo, LSG, Gonnella, F, Gonzalez-Cuevas, J, Goodman, MC, Goodwin, O, Goswami, S, Gotti, C, Goudzovski, E, Grace, C, Graham, M, Gramellini, E, Gran, R, Granados, E, Grant, A, Grant, C, Gratieri, D, Green, P, Green, S, Greenler, L, Greenwood, M, Greer, J, Griffith, C, Groh, M, Grudzinski, J, Grzelak, K, Gu, W, Guarino, V, Guenette, R, Guglielmi, A, Guo, B, Guthikonda, K, Gutierrez, R, 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Subjects
Physics::Instrumentation and Detectors, High Energy Physics::Experiment
Abstract

The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay—these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. The Deep Underground Neutrino Experiment (DUNE) is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. This TDR is intended to justify the technical choices for the far detector that flow down from the high-level physics goals through requirements at all levels of the Project. Volume I contains an executive summary that introduces the DUNE science program, the far detector and the strategy for its modular designs, and the organization and management of the Project. The remainder of Volume I provides more detail on the science program that drives the choice of detector technologies and on the technologies themselves. It also introduces the designs for the DUNE near detector and the DUNE computing model, for which DUNE is planning design reports. Volume II of this TDR describes DUNE's physics program in detail. Volume III describes the technical coordination required for the far detector design, construction, installation, and integration, and its organizational structure. Volume IV describes the single-phase far detector technology. A planned Volume V will describe the dual-phase technology.

Published
2020

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