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32 results on '"Auger, M. A."'

1. 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

2. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_{ν}∼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, Caro Terrazas, I, Carr, R, Castillo Fernandez, R, 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, D, Diaz, A, Domine, L, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, 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, Jan de Vries, J, 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, Martinez Caicedo, DA, and Mason, K
Subjects: MicroBooNE Collaboration, hep-ex, General Physics, Mathematical Sciences, Physical Sciences, Engineering
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

3. 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

4. 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, IC, Carr, R, Fernandez, RC, 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, 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, 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, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, 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, Caicedo, DAM, Mastbaum, A, Meddage, V, and Mettler, T
Subjects: Nuclear & Particles Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum 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

5. 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

6. 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

7. 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, Caro Terrazas, I, Carr, R, Castillo Fernandez, R, 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, D, Diaz, A, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, 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, EC, James, C, Jan De Vries, J, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, 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, Martinez Caicedo, DA, Mastbaum, A, Meddage, V, and Mettler, T
Subjects: hep-ex, cs.CV, physics.data-an, physics.ins-det
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

8. 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, Caro Terrazas, I, Carr, R, 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, Duffy, K, Dytman, S, Eberly, B, Ereditato, A, Escudero Sanchez, L, 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, EC, James, C, Jan De Vries, J, Ji, X, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, 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, Martinez Caicedo, DA, Mastbaum, A, and Meddage, V
Subjects: hep-ex, physics.ins-det
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

9. 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

10. 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, I Caro, Carr, R, Fernandez, R Castillo, Cavanna, F, Cerati, G, 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, 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, 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, E-C, James, C, de Vries, J Jan, Jiang, L, Johnson, RA, Joshi, J, Jostlein, H, Jwa, Y-J, 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, DA Martinez, Mastbaum, A, Meddage, V, Mettler, T, and Mills, GB
Subjects: Neutrino detectors, Particle tracking detectors, Particle identification methods, physics.ins-det, Physical Sciences, Engineering, Nuclear & Particles Physics
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

11. 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

12. 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

13. 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

14. 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

15. 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, 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, D, Diaz, A, Dolce, M, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, 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, Caicedo, DA Martinez, 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, Physical Sciences, Engineering, Nuclear & Particles Physics
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

16. 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, 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, D, Diaz, A, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, 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, Caicedo, DA Martinez, 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, Physical Sciences, Engineering, Nuclear & Particles Physics
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

17. 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

18. 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, A, 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: Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Networking and Information Technology R&D (NITRD), Bioengineering, hep-ex, physics.data-an, 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: 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

19. 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

20. 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, Fernandez, R Castillo, 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, Sanchez, L Escudero, 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, de Vries, J Jan, Jen, C-M, 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, Caicedo, DA Martinez, 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, Physical Sciences, Engineering, Nuclear & Particles Physics
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

21. 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

22. 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, R Castillo, 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, Sanchez, L Escudero, 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, E-C, James, C, de Vries, J Jan, Jen, C-M, 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, DA Martinez, 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: Bioengineering, Neutrino detectors, Time projection chambers, Time projection Chambers, physics.ins-det, hep-ex, Physical Sciences, Engineering, Nuclear & Particles Physics
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

23. 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

24. 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, R Castillo, 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, Sanchez, L Escudero, 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, E-C, James, C, de Vries, J Jan, 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, Caicedo, DA Martinez, 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, Physical Sciences, Engineering, Nuclear & Particles Physics
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

25. 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

26. 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, R Castillo, Cavanna, F, Chen, H, Church, E, Cianci, D, Cohen, E, Collin, GH, Conrad, JM, Convery, M, Crespo-Anadón, JI, De Geronimo, G, Del Tutto, M, Devitt, D, Dytman, S, Eberly, B, Ereditato, A, Sanchez, L Escudero, 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, de Vries, J Jan, 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, 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, DA Martinez, 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, Physical Sciences, Engineering, Nuclear & Particles Physics
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

27. 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

28. 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, R Castillo, 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, L Escudero, 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, J Jan, Jen, C-M, 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, DA Martinez, 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, Physical Sciences, Engineering, Nuclear & Particles Physics
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

29. Design and construction of the MicroBooNE detector

Author: Acciarri, R, Adams, C, An, R, Aparicio, A, Aponte, S, Asaadi, J, Auger, M, Ayoub, N, Bagby, L, Baller, B, Barger, R, Barr, G, Bass, M, Bay, F, Biery, K, Bishai, M, Blake, A, Bocean, V, Boehnlein, D, Bogert, VD, Bolton, T, Bugel, L, Callahan, C, Camilleri, L, Caratelli, D, Carls, B, Castillo Fernandez, R, Cavanna, F, Chappa, S, Chen, H, Chen, K, Chi, CY, Chiu, CS, Church, E, Cianci, D, Collin, GH, Conrad, JM, Convery, M, Cornele, J, Cowan, P, Crespo-Anadon, JI, Crutcher, G, Darve, C, Davis, R, Del Tutto, M, Devitt, D, Duffin, S, Dytman, S, Eberly, B, Ereditato, A, Erickson, D, Escudero Sanchez, L, Esquivel, J, Farooq, S, Farrell, J, Featherston, D, Fleming, BT, Foreman, W, Furmanski, AP, Genty, V, Geynisman, M, Goeldi, D, Goff, B, Gollapinni, S, Graf, N, Gramellini, E, Green, J, Greene, A, Greenlee, H, Griffin, T, Grosso, R, Guenette, R, Hackenburg, A, Haenni, R, Hamilton, P, Healey, P, Hen, O, Henderson, E, Hewes, J, Hill, C, Hill, K, Himes, L, Ho, J, Horton-Smith, G, Huffman, D, Ignarra, CM, James, C, James, E, Jan De Vries, J, Jaskierny, W, Jen, CM, Jiang, L, Johnson, B, Johnson, M, Johnson, RA, Jones, BJP, Joshi, J, Jostlein, H, Kaleko, D, and Kalousis, LN
Subjects: Neutrino detectors, Noble liquid detectors, Time projection chambers, physics.ins-det, hep-ex, Nuclear & Particles Physics, Other Physical Sciences, Physical Sciences, Engineering
Abstract: This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline Neutrino program, located at Fermilab, and will utilize the capabilities of liquid argon detectors to examine a rich assortment of physics topics. In this document details of design specifications, assembly procedures, and acceptance tests are reported.
Published: 2017

30. Design and construction of the MicroBooNE detector

Author: Acciarri, R, Adams, C, An, R, Aparicio, A, Aponte, S, Asaadi, J, Auger, M, Ayoub, N, Bagby, L, Baller, B, Barger, R, Barr, G, Bass, M, Bay, F, Biery, K, Bishai, M, Blake, A, Bocean, V, Boehnlein, D, Bogert, VD, Bolton, T, Bugel, L, Callahan, C, Camilleri, L, Caratelli, D, Carls, B, Fernandez, R Castillo, Cavanna, F, Chappa, S, Chen, H, Chen, K, Chi, C-Y, Chiu, CS, Church, E, Cianci, D, Collin, GH, Conrad, JM, Convery, M, Cornele, J, Cowan, P, Crespo-Anadón, JI, Crutcher, G, Darve, C, Davis, R, Del Tutto, M, Devitt, D, Duffin, S, Dytman, S, Eberly, B, Ereditato, A, Erickson, D, Sanchez, L Escudero, Esquivel, J, Farooq, S, Farrell, J, Featherston, D, Fleming, BT, Foreman, W, Furmanski, AP, Genty, V, Geynisman, M, Goeldi, D, Goff, B, Gollapinni, S, Graf, N, Gramellini, E, Green, J, Greene, A, Greenlee, H, Griffin, T, Grosso, R, Guenette, R, Hackenburg, A, Haenni, R, Hamilton, P, Healey, P, Hen, O, Henderson, E, Hewes, J, Hill, C, Hill, K, Himes, L, Ho, J, Horton-Smith, G, Huffman, D, Ignarra, CM, James, C, James, E, de Vries, J Jan, Jaskierny, W, Jen, C-M, Jiang, L, Johnson, B, Johnson, M, Johnson, RA, Jones, BJP, Joshi, J, Jostlein, H, Kaleko, D, and Kalousis, LN
Subjects: Nuclear and Plasma Physics, Physical Sciences, Neutrino detectors, Noble liquid detectors, Time projection chambers, physics.ins-det, hep-ex, Engineering, Nuclear & Particles Physics, Physical sciences
Abstract: This paper describes the design and construction of the MicroBooNE liquid argon time projection chamber and associated systems. MicroBooNE is the first phase of the Short Baseline Neutrino program, located at Fermilab, and will utilize the capabilities of liquid argon detectors to examine a rich assortment of physics topics. In this document details of design specifications, assembly procedures, and acceptance tests are reported.
Published: 2017

31. Lowering the radioactivity of the photomultiplier tubes for the XENON1T dark matter experiment

Author: XENON Collaboration, Aprile, E, Agostini, F, Alfonsi, M, Arazi, L, Arisaka, K, Arneodo, F, Auger, M, Balan, C, Barrow, P, Baudis, L, Bauermeister, B, Behrens, A, Beltrame, P, Brown, A, Brown, E, Bruenner, S, Bruno, G, Budnik, R, Bütikofer, L, Cardoso, JMR, Coderre, D, Colijn, AP, Contreras, H, Cussonneau, JP, Decowski, MP, Giovanni, A Di, Duchovni, E, Fattori, S, Ferella, AD, Fieguth, A, Fulgione, W, Galloway, M, Garbini, M, Geis, C, Goetzke, LW, Grignon, C, Gross, E, Hampel, W, Itay, R, Kaether, F, Kessler, G, Kish, A, Landsman, H, Lang, RF, Calloch, M Le, Lellouch, D, Levinson, L, Levy, C, Lindemann, S, Lindner, M, Lopes, JAM, Lyashenko, A, Macmullin, S, Undagoitia, T Marrodán, Masbou, J, Massoli, FV, Mayani, D, Fernandez, AJ Melgarejo, Meng, Y, Messina, M, Miguez, B, Molinario, A, Murra, M, Naganoma, J, Oberlack, U, Orrigo, SEA, Pakarha, P, Pantic, E, Persiani, R, Piastra, F, Pienaar, J, Plante, G, Priel, N, Rauch, L, Reichard, S, Reuter, C, Rizzo, A, Rosendahl, S, dos Santos, JMF, Sartorelli, G, Schindler, S, Schreiner, J, Schumann, M, Lavina, L Scotto, Selvi, M, Shagin, P, Simgen, H, Teymourian, A, Thers, D, Tiseni, A, Trinchero, G, Tunnell, C, Vitells, O, Wall, R, Wang, H, Weber, M, Weinheimer, C, and Laubenstein, M
Subjects: Nuclear and Plasma Physics, Particle and High Energy Physics, Synchrotrons and Accelerators, Physical Sciences, astro-ph.IM, 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: The low-background, VUV-sensitive 3-inch diameter photomultiplier tube R11410 has been developed by Hamamatsu for dark matter direct detection experiments using liquid xenon as the target material. We present the results from the joint effort between the XENON collaboration and the Hamamatsu company to produce a highly radio-pure photosensor (version R11410-21) for the XENON1T dark matter experiment. After introducing the photosensor and its components, we show the methods and results of the radioactive contamination measurements of the individual materials employed in the photomultiplier production. We then discuss the adopted strategies to reduce the radioactivity of the various PMT versions. Finally, we detail the results from screening 286 tubes with ultra-low background germanium detectors, as well as their implications for the expected electronic and nuclear recoil background of the XENON1T experiment.
Published: 2015

32. Lowering the radioactivity of the photomultiplier tubes for the XENON1T dark matter experiment

Author: XENON Collaboration, Aprile, E, Agostini, F, Alfonsi, M, Arazi, L, Arisaka, K, Arneodo, F, Auger, M, Balan, C, Barrow, P, Baudis, L, Bauermeister, B, Behrens, A, Beltrame, P, Brown, A, Brown, E, Bruenner, S, Bruno, G, Budnik, R, Bütikofer, L, Cardoso, JMR, Coderre, D, Colijn, AP, Contreras, H, Cussonneau, JP, Decowski, MP, Giovanni, AD, Duchovni, E, Fattori, S, Ferella, AD, Fieguth, A, Fulgione, W, Galloway, M, Garbini, M, Geis, C, Goetzke, LW, Grignon, C, Gross, E, Hampel, W, Itay, R, Kaether, F, Kessler, G, Kish, A, Landsman, H, Lang, RF, Calloch, ML, Lellouch, D, Levinson, L, Levy, C, Lindemann, S, Lindner, M, Lopes, JAM, Lyashenko, A, Macmullin, S, Undagoitia, TM, Masbou, J, Massoli, FV, Mayani, D, Fernandez, AJM, Meng, Y, Messina, M, Miguez, B, Molinario, A, Murra, M, Naganoma, J, Oberlack, U, Orrigo, SEA, Pakarha, P, Pantic, E, Persiani, R, Piastra, F, Pienaar, J, Plante, G, Priel, N, Rauch, L, Reichard, S, Reuter, C, Rizzo, A, Rosendahl, S, dos Santos, JMF, Sartorelli, G, Schindler, S, Schreiner, J, Schumann, M, Lavina, LS, Selvi, M, Shagin, P, Simgen, H, Teymourian, A, Thers, D, Tiseni, A, Trinchero, G, Tunnell, C, Vitells, O, Wall, R, Wang, H, Weber, M, Weinheimer, C, and Laubenstein, M
Subjects: astro-ph.IM, physics.ins-det, Nuclear & Particles Physics, Quantum Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics
Abstract: The low-background, VUV-sensitive 3-inch diameter photomultiplier tube R11410 has been developed by Hamamatsu for dark matter direct detection experiments using liquid xenon as the target material. We present the results from the joint effort between the XENON collaboration and the Hamamatsu company to produce a highly radio-pure photosensor (version R11410-21) for the XENON1T dark matter experiment. After introducing the photosensor and its components, we show the methods and results of the radioactive contamination measurements of the individual materials employed in the photomultiplier production. We then discuss the adopted strategies to reduce the radioactivity of the various PMT versions. Finally, we detail the results from screening 286 tubes with ultra-low background germanium detectors, as well as their implications for the expected electronic and nuclear recoil background of the XENON1T experiment.
Published: 2015

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32 results on '"Auger, M. A."'

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

2. First Measurement of Inclusive Muon Neutrino Charged Current Differential Cross Sections on Argon at E_{ν}∼0.8 GeV with the MicroBooNE Detector.

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

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

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

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

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

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

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

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

11. Comparison of νμ-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

29. Design and construction of the MicroBooNE detector

30. Design and construction of the MicroBooNE detector

31. Lowering the radioactivity of the photomultiplier tubes for the XENON1T dark matter experiment

32. Lowering the radioactivity of the photomultiplier tubes for the XENON1T dark matter experiment

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32 results on '"Auger, M. A."'

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