Staff information

PNNL Publications

2023

• Bezerra T.S., A. Borkum, E.D. Church, Z. Djurcic, J. Genovesi, J. Haiston, and C.M. Jackson, et al. 2023. "Large Low Background kTon-Scale Liquid Argon Time Projection Chambers." Journal of Physics G: Nuclear and Particle Physics 50, no. 6:Art. No. 060502. PNNL-SA-181472. doi:10.1088/1361-6471/acc394
• Byrnes N., I. Parmaksiz, C. Adams, J. Asaadi, J. Baeza-Rubio, K. Bailey, and E.D. Church, et al. 2023. "NEXT-CRAB-0: A High Pressure Gaseous Xenon Time Projection Chamber with a Direct VUV Camera Based Readout." Journal of Instrumentation 18, no. 8:Art. No. P08006. PNNL-SA-184431. doi:10.1088/1748-0221/18/08/P08006
• Haefner J., A. Fahs, J. Ho, C. Stanford, R. Guenette, C. Adams, and H. Almazan, et al. 2023. "Reflectance and fluorescence characteristics of PTFE coated with TPB at visible, UV, and VUV as a function of thickness." Journal of Instrumentation 18, no. 3:Art. No. P03016. PNNL-SA-191812. doi:10.1088/1748-0221/18/03/P03016

2022

• Hossbach T.W., E.D. Church, J.E. Fast, M.F. Mayer, and J.L. Slack. 2022. LDRD Final Report: Highly Segmented Silicon Strip Detectors for Radiation Detection. PNNL-32963. Richland, WA: Pacific Northwest National Laboratory. LDRD Final Report: Highly Segmented Silicon Strip Detectors for Radiation Detection
• Novella Garijo P., M. Sorel, A. Uson, C. Adams, H. Molina, V. Alvarez, and B. Aparicio, et al. 2022. "Measurement of the 136Xe two-neutrino double beta decay half-life via direct background subtraction in NEXT." Physical Review C 105, no. 5:Art. No. 55501. PNNL-SA-172087. doi:10.1103/PhysRevC.105.055501

2021

• Adams C., V. Alvarez, L. Arazi, I.J. Arnquist, C.D. Azevedo, K.G. Bailey, and F. Ballester, et al. 2021. "Sensitivity of a tonne-scale NEXT detector for neutrinoless double-beta decay searches." Journal of High Energy Physics 2021, no. 8:Art No. 164. PNNL-SA-171999. doi:10.1007/JHEP08(2021)164
• Kekic M., C. Adams, K. Woodruff, J. Renner, E.D. Church, M. Del Tutto, and J. Hernando Morata, et al. 2021. "Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment." Journal of High Energy Physics 2021, no. 1:Article No. 189. PNNL-SA-159903. doi:10.1007/JHEP01(2021)189

2020

• Adams C., M. Del Tutto, J. Asaadi, M. Bernstein, E.D. Church, R. Guenette, and J.M. Rojas, et al. 2020. "Enhancing Neutrino Event Reconstruction with Pixel-Based 3D Readout for Liquid Argon Time Projection Chambers." Journal of Instrumentation 15, no. 4:Article No. P04009. PNNL-SA-150347. doi:10.1088/1748-0221/15/04/P04009
• Burggraf J., D. Dale, T. Forest, G.A. Warren, S.C. Stave, R.S. Behling, and E.D. Church. 2020. "Neutron-Neutron Correlations in the Photofission of 238U." Physical Review C 102, no. 1:Article No.014612. PNNL-SA-144509. doi:10.1103/PhysRevC.102.014612
• Church E.D., C.M. Jackson, and R.N. Saldanha. 2020. "Dark Matter Detection Capabilities of a Large Multipurpose Liquid Argon Time Projection Chamber." Journal of Instrumentation 15, no. 9:Article No. P09026. PNNL-SA-153108. doi:10.1088/1748-0221/15/09/P09026
• Ghosh S., J. Haefner, J. Martin-Albo, R. Guenette, X. Li, A. Loya Villalpando, and C. BURCH, et al. 2020. "Dependence of polytetrafluoroethylene reflectance on thickness at visible and ultraviolet wavelengths in air." Journal of Instrumentation 15, no. 11:Art. No. P11031. PNNL-SA-172576. doi:10.1088/1748-0221/15/11/P11031
• Hagen A.R., E.D. Church, J.F. Strube, K. Bhattacharya, and V.C. Amatya. 2020. "Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs." Journal of Physics: Conference Series 1525. PNNL-SA-143856. doi:10.1088/1742-6596/1525/1/012104
• Hayes J.C., C.E. Aalseth, T.R. Alexander, H.O. Back, E.D. Church, M.P. Foxe, and T.W. Hossbach, et al. 2020. "High Throughput Argon-37 Field System." Pure and Applied Geophysics. PNNL-SA-149601. doi:10.1007/s00024-020-02584-z

2019

• Adams C., M. Alrashed, R. An, J. Anthony, J. Asaadi, A. Ashkenazi, and M. Auger, et al. 2019. "Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber." Physical Review D 99, no. 9:Article Number 092001. PNNL-SA-137800. doi:10.1103/PhysRevD.99.092001
• Strube J.F., K. Bhattacharya, E.D. Church, J.A. Daily, M. Schram, C.M. Siegel, and K.J. Wierman. 2019. "Scaling studies for deep learning in Liquid Argon Time Projection Chamber event classification." In 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), July 9-13, 2018, Sofia, Bulgaria. EPJ Web of Conferences, 214, Paper No. 06016. PNNL-SA-139482. doi:10.1051/epjconf/201921406016

2018

• Asaadi J., E.D. Church, R. Guenette, B.J. Jones, and A. Szelc. 2018. "New Light Higgs Boson and Short-Baseline Neutrino Anomalies." Physical Review D 97, no. 7:075021. PNNL-SA-131323. doi:10.1103/PhysRevD.97.075021

2017

• Acciarri R., C. Adams, J. Asaadi, B. Baller, T. Bolton, C. Bromberg, and F. Cavanna, et al. 2017. "First Observation of Low Energy Electron Neutrinos in a Liquid Argon Time Projector Chamber." Physical Review D 95, no. 7:Article No. 072005. PNNL-SA-126393. doi:10.1103/PhysRevD.95.072005
• Acciarri R., C. Adams, R.A. An, J. Asaadi, M. Auger, L. Bagby, and B. Baller, et al. 2017. "Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber." Journal of Instrumentation 12, no. 3:Article No. P0301. PNNL-SA-123442. doi:10.1088/1748-0221/12/03/P03011