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1. 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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2. Search for Sterile Neutrinos in MINOS and MINOS+ Using a Two-Detector Fit

Author

Adamson, P, Anghel, I, Aurisano, A, Barr, G, Bishai, M, Blake, A, Bock, GJ, Bogert, D, Cao, SV, Carroll, TJ, Castromonte, CM, Chen, R, Childress, S, Coelho, JAB, Corwin, L, Cronin-Hennessy, D, de Jong, JK, De Rijck, S, Devan, AV, Devenish, NE, Diwan, MV, Escobar, CO, Evans, JJ, Falk, E, Feldman, GJ, Flanagan, W, Frohne, MV, Gabrielyan, M, Gallagher, HR, Germani, S, Gomes, RA, Goodman, MC, Gouffon, P, Graf, N, Gran, R, Grzelak, K, Habig, A, Hahn, SR, Hartnell, J, Hatcher, R, Holin, A, Huang, J, Hylen, J, Irwin, GM, Isvan, Z, James, C, Jensen, D, Kafka, T, Kasahara, SMS, Koerner, LW, Koizumi, G, Kordosky, M, Kreymer, A, Lang, K, Ling, J, Litchfield, PJ, Lucas, P, Mann, WA, Marshak, ML, Mayer, N, McGivern, C, Medeiros, MM, Mehdiyev, R, Meier, JR, Messier, MD, Miller, WH, Mishra, SR, Moed Sher, S, Moore, CD, Mualem, L, Musser, J, Naples, D, Nelson, JK, Newman, HB, Nichol, RJ, Nowak, JA, O'Connor, J, Orchanian, M, Pahlka, RB, Paley, J, Patterson, RB, Pawloski, G, Perch, A, Pfützner, MM, Phan, DD, Phan-Budd, S, Plunkett, RK, Poonthottathil, N, Qiu, X, Radovic, A, Rebel, B, Rosenfeld, C, Rubin, HA, Sail, P, Sanchez, MC, Schneps, J, Schreckenberger, A, Schreiner, P, Sharma, R, Sousa, A, Tagg, N, Talaga, RL, Thomas, J, Thomson, MA, Tian, X, Timmons, A, Todd, J, Tognini, SC, Toner, R, Torretta, D, Tzanakos, G, Urheim, J, Vahle, P, Viren, B, Weber, A, Webb, RC, White, C, Whitehead, LH, Wojcicki, SG, Zwaska, R, MINOS+ Collaboration, Thomson, Mark [0000-0002-2654-9005], Whitehead, Leigh [0000-0002-3327-2534], and Apollo - University of Cambridge Repository

Subjects
Physics::Instrumentation and Detectors, High Energy Physics::Phenomenology, High Energy Physics::Experiment, MINOS+ Collaboration
Abstract

A search for mixing between active neutrinos and light sterile neutrinos has been performed by looking for muon neutrino disappearance in two detectors at baselines of 1.04 and 735 km, using a combined MINOS and MINOS+ exposure of 16.36×10^{20} protons on target. A simultaneous fit to the charged-current muon neutrino and neutral-current neutrino energy spectra in the two detectors yields no evidence for sterile neutrino mixing using a 3+1 model. The most stringent limit to date is set on the mixing parameter sin^{2}θ_{24} for most values of the sterile neutrino mass splitting Δm_{41}^{2}>10^{-4} eV^{2}.

Published
2019
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3. 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
Quantum Physics, Particle and Plasma Physics, hep-ex, Molecular, Nuclear, physics.ins-det, Atomic, Nuclear & Particles 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

4. 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, Moore, CD, Escudero Sanchez, Lorena [0000-0003-3464-9206], and Apollo - University of Cambridge Repository

Subjects
5106 Nuclear and Plasma Physics, 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
2019

5. 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
physics.data-an, Quantum Physics, Networking and Information Technology R&D, Particle and Plasma Physics, hep-ex, Molecular, Bioengineering, Nuclear, Atomic, Nuclear & Particles 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

6. 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
Engineering, Physics::Instrumentation and Detectors, hep-ex, Astrophysics::High Energy Astrophysical Phenomena, Time projection chambers, Physical Sciences, High Energy Physics::Experiment, Performance of High Energy Physics Detectors, Neutrino detectors, Nuclear & Particles Physics, Data reduction methods
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

7. 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, John, 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
Engineering, hep-ex, Time projection chambers, Physical Sciences, Bioengineering, Neutrino detectors, physics.ins-det, 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

8. 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
Engineering, Physics::Instrumentation and Detectors, hep-ex, Time projection chambers, Physical Sciences, Noble liquid detectors, High Energy Physics::Experiment, Performance of High Energy Physics Detectors, Neutrino detectors, physics.ins-det, 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

9. 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
Engineering, Physics::Instrumentation and Detectors, hep-ex, Front-end electronics for detector readout, Physical Sciences, Noble liquid detectors, Time projection Chambers, Neutrino detectors, physics.ins-det, 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

10. 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
Particle identification methods, Engineering, Image filtering, Physics::Instrumentation and Detectors, hep-ex, Time projection chambers, Physical Sciences, Analysis and statistical methods, physics.ins-det, 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

11. An additional source of error in microsphere measurement of regional blood flow

Author

Wheeler Ht, Bruce L. Gewertz, Moore Cd, and William J. Fry

Subjects
Chemistry, Slow rate, Blood Pressure, Injection rate, Cell Biology, Blood flow, Kidney, Biochemistry, Microspheres, Microsphere, Dogs, Blood pressure, Reference sample, Regional Blood Flow, Anesthesia, Withdrawal rate, Methods, Animals, Diagnostic Errors, Sources of error, Cardiology and Cardiovascular Medicine
Abstract

The effects of variations in rate of microsphere injection and site and rate of reference sample withdrawal were studied to further define sources of error in microsphere measurements of regional blood flow. Anesthetized canines underwent sequential left ventricular injection of radiolabeled 25-μm microspheres at slow and fast injection speeds. Simultaneous reference samples were collected from brachial and femoral artieres at slow (5 ml/min) and fast (13 ml/min) withdrawal rates. Calculated renal blood flows (RBF) were compared for each injection rate, sampling site, and withdrawal rate. Varying injection rate or withdrawal site resulted in no significant differences in RBF. RBF was influenced significantly (P < 0.005) by reference sample withdrawal (fast withdrawal 4.38 ± 1.28 ml/min·g vs slow withdrawal rate 6.87 ± 2.29 ml/min·g). Data indicate that selection of an inappropriately slow rate of reference sample withdrawal results in erroneous values of regional blood flow.

Published
1981
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12. Vascular Changes in Leg Trauma

Author

Cardea Ja and Moore Cd

Subjects
Adult, Male, medicine.medical_specialty, Blood Pressure, Closed Fracture, Pressure, Humans, Medicine, Fractures, Closed, Fibula, Compartment (pharmacokinetics), Leg, business.industry, Angiography, General Medicine, Middle Aged, Distal tibia, Compression (physics), Surgery, Tibial Fractures, Cryotherapy, Anterior Compartment Syndrome, Female, business, Leg Injuries
Abstract

Fifteen patients with closed fractures of the distal tibia and fibula had marked elevation of initial compartment pressures. The pressures remained elevated for five days in the ten patients treated by cast and elevation. The pressures returned to normal within 24 hours in the five patients placed in a prototype water-jacketed boot which provides cooling and intermittent compression. Some patients exhibited arteriographic evidence of vascular injury.

Published
1977
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