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Müller P, Bagdasarova Y, Hong R, Leredde A, Bailey KG, Fléchard X, García A, Graner B, Knecht A, Naviliat-Cuncic O, O'Connor TP, Sternberg MG, Storm DW, Swanson HE, Wauters F, Zumwalt DW. β-Nuclear-Recoil Correlation from ^{6}He Decay in a Laser Trap. Phys Rev Lett 2022; 129:182502. [PMID: 36374704 DOI: 10.1103/physrevlett.129.182502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 05/12/2022] [Accepted: 06/01/2022] [Indexed: 06/16/2023]
Abstract
We report the first precise measurement of a β-recoil correlation from a radioactive noble gas (^{6}He) confined via a magneto-optical trap. The measurement is motivated by the search for exotic tensor-type contributions to the charged weak current. Interpreted as tensor currents with right-handed neutrinos, the measurements yield |C_{T}/C_{A}|^{2}≤0.022 (90% confidence limit, C.L.). On the other hand, for left-handed neutrinos the limits are 0.007<C_{T}/C_{A}<0.111 (90% C.L.). The sensitivity of the present measurement is mainly limited by experimental uncertainties in determining the time response properties and the distance between the atom cloud and the microchannel plate used for recoil ion detection.
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Affiliation(s)
- P Müller
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - Y Bagdasarova
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - R Hong
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - A Leredde
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - K G Bailey
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - X Fléchard
- Normandie Univ, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC Caen, 14000 Caen, France
| | - A García
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - B Graner
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - A Knecht
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
- Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - O Naviliat-Cuncic
- Normandie Univ, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC Caen, 14000 Caen, France
- National Superconducting Cyclotron Laboratory and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA
| | - T P O'Connor
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - M G Sternberg
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - D W Storm
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - H E Swanson
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
| | - F Wauters
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
- Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, 55128 Mainz, Germany
| | - D W Zumwalt
- Center for Experimental Nuclear Physics and Astrophysics, University of Washington, Seattle, Washington 98105, USA
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Lu RY, Bagdasarova Y, Lee AY. Machine Learning-Based Anomaly Detection Techniques in Ophthalmology. JAMA Ophthalmol 2021; 140:189-190. [PMID: 34967861 DOI: 10.1001/jamaophthalmol.2021.5555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Randy Y Lu
- Department of Ophthalmology, University of Washington School of Medicine, Seattle
| | - Yelena Bagdasarova
- Department of Ophthalmology, University of Washington School of Medicine, Seattle.,Karalis Johnson Retina Center, Seattle, Washington
| | - Aaron Y Lee
- Department of Ophthalmology, University of Washington School of Medicine, Seattle.,Karalis Johnson Retina Center, Seattle, Washington
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Lee AY, Lee CS, Blazes MS, Owen JP, Bagdasarova Y, Wu Y, Spaide T, Yanagihara RT, Kihara Y, Clark ME, Kwon M, Owsley C, Curcio CA. Exploring a Structural Basis for Delayed Rod-Mediated Dark Adaptation in Age-Related Macular Degeneration Via Deep Learning. Transl Vis Sci Technol 2020; 9:62. [PMID: 33344065 PMCID: PMC7745629 DOI: 10.1167/tvst.9.2.62] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 10/30/2020] [Indexed: 01/09/2023] Open
Abstract
Purpose Delayed rod-mediated dark adaptation (RMDA) is a functional biomarker for incipient age-related macular degeneration (AMD). We used anatomically restricted spectral domain optical coherence tomography (SD-OCT) imaging data to localize de novo imaging features associated with and to test hypotheses about delayed RMDA. Methods Rod intercept time (RIT) was measured in participants with and without AMD at 5 degrees from the fovea, and macular SD-OCT images were obtained. A deep learning model was trained with anatomically restricted information using a single representative B-scan through the fovea of each eye. Mean-occlusion masking was utilized to isolate the relevant imaging features. Results The model identified hyporeflective outer retinal bands on macular SD-OCT associated with delayed RMDA. The validation mean standard error (MSE) registered to the foveal B-scan localized the lowest error to 0.5 mm temporal to the fovea center, within an overall low-error region across the rod-free zone and adjoining parafovea. Mean absolute error (MAE) on the test set was 4.71 minutes (8.8% of the dynamic range). Conclusions We report a novel framework for imaging biomarker discovery using deep learning and demonstrate its ability to identify and localize a previously undescribed biomarker in retinal imaging. The hyporeflective outer retinal bands in central macula on SD-OCT demonstrate a structural basis for dysfunctional rod vision that correlates to published histopathologic findings. Translational Relevance This agnostic approach to anatomic biomarker discovery strengthens the rationale for RMDA as an outcome measure in early AMD clinical trials, and also expands the utility of deep learning beyond automated diagnosis to fundamental discovery.
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Affiliation(s)
- Aaron Y Lee
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Cecilia S Lee
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Marian S Blazes
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Julia P Owen
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Yelena Bagdasarova
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Yue Wu
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Theodore Spaide
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Ryan T Yanagihara
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Yuka Kihara
- Department of Ophthalmology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Mark E Clark
- Department of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - MiYoung Kwon
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Cynthia Owsley
- Department of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Christine A Curcio
- Department of Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Plaster B, Adamek E, Allgeier B, Anaya J, Back H, Bagdasarova Y, Berguno D, Blatnik M, Boissevain J, Bowles T, Broussard L, Brown MP, Carr R, Clark D, Clayton S, Cude-Woods C, Currie S, Dees E, Ding X, Du S, Filippone B, García A, Geltenbort P, Hasan S, Hawari A, Hickerson K, Hill R, Hino M, Hoagland J, Hoedl S, Hogan G, Hona B, Hong R, Holley A, Ito T, Kawai T, Kirch K, Kitagaki S, Knecht A, Lamoreaux S, Liu CY, Liu J, Makela M, Mammei R, Martin J, Meier N, Melconian D, Mendenhall M, Moore S, Morris C, Mortensen R, Nepal S, Nouri N, Pattie R, Pérez Galván A, Phillips II D, Pichlmaier A, Picker R, Pitt M, Ramsey J, Rios R, Russell R, Sabourov K, Sallaska A, Salvat D, Saunders A, Schmid R, Seestrom S, Servicky C, Sharapov E, Sjue S, Slutsky S, Smith D, Sondheim W, Sun X, Swank C, Swift G, Tatar E, Teasdale W, Terai C, Tipton B, Utsuro M, Vogelaar R, VornDick B, Wang Z, Wehring B, Wexler J, Womack T, Wrede C, Xu Y, Yan H, Young A, Yuan J, Zeck B. Final results for the neutron β-asymmetry parameter A0 from the UCNA experiment. EPJ Web Conf 2019. [DOI: 10.1051/epjconf/201921904004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The UCNA experiment was designed to measure the neutron β-asymmetry parameter A0 using polarized ultracold neutrons (UCN). UCN produced via downscattering in solid deuterium were polarized via transport through a 7 T magnetic field, and then directed to a 1 T solenoidal electron spectrometer, where the decay electrons were detected in electron detector packages located on the two ends of the spectrometer. A value for A0 was then extracted from the asymmetry in the numbers of counts in the two detector packages. We summarize all of the results from the UCNA experiment, obtained during run periods in 2007, 2008–2009, 2010, and 2011–2013, which ultimately culminated in a 0.67% precision result for A0.
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Saunders A, Makela M, Bagdasarova Y, Back HO, Boissevain J, Broussard LJ, Bowles TJ, Carr R, Currie SA, Filippone B, García A, Geltenbort P, Hickerson KP, Hill RE, Hoagland J, Hoedl S, Holley AT, Hogan G, Ito TM, Lamoreaux S, Liu CY, Liu J, Mammei RR, Martin J, Melconian D, Mendenhall MP, Morris CL, Mortensen RN, Pattie RW, Pitt M, Plaster B, Ramsey J, Rios R, Sallaska A, Seestrom SJ, Sharapov EI, Sjue S, Sondheim WE, Teasdale W, Young AR, VornDick B, Vogelaar RB, Wang Z, Xu Y. Performance of the Los Alamos National Laboratory spallation-driven solid-deuterium ultra-cold neutron source. Rev Sci Instrum 2013; 84:013304. [PMID: 23387639 DOI: 10.1063/1.4770063] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
In this paper, we describe the performance of the Los Alamos spallation-driven solid-deuterium ultra-cold neutron (UCN) source. Measurements of the cold neutron flux, the very low energy neutron production rate, and the UCN rates and density at the exit from the biological shield are presented and compared to Monte Carlo predictions. The cold neutron rates compare well with predictions from the Monte Carlo code MCNPX and the UCN rates agree with our custom UCN Monte Carlo code. The source is shown to perform as modeled. The maximum delivered UCN density at the exit from the biological shield is 52(9) UCN/cc with a solid deuterium volume of ~1500 cm(3).
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Affiliation(s)
- A Saunders
- Los Alamos National Laboratory, Los Alamos, New Mexico 87544, USA
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