Showing 1–50 of 97 results for author: Choi, W

A classification of mode-1 internal solitary waves in a three-layer fluid

Authors: Ricardo Barros, Alex Doak, Wooyoung Choi, Paul Milewski

Abstract: We explore the bifurcation structure of mode-1 solitary waves in a three-layer fluid confined between two rigid boundaries. A recent study (Lamb, J. Fluid Mech. 2023, 962, A17) proposed a method to predict the coexistence of solitary waves with opposite polarity in a continuously stratified fluid with a double pycnocline by examining the conjugate states for the Euler equations. We extend this lin… ▽ More We explore the bifurcation structure of mode-1 solitary waves in a three-layer fluid confined between two rigid boundaries. A recent study (Lamb, J. Fluid Mech. 2023, 962, A17) proposed a method to predict the coexistence of solitary waves with opposite polarity in a continuously stratified fluid with a double pycnocline by examining the conjugate states for the Euler equations. We extend this line of inquiry to a piecewise-constant three-layer stratification, taking advantage of the fact that the conjugate states for the Euler equations are exactly preserved by the strongly nonlinear model that we will refer to as the three-layer Miyata-Maltseva-Choi-Camassa (MMCC3) equations. In this reduced setting, solitary waves are governed by a Hamiltonian system with two degrees of freedom, whose critical points are used to explain the bifurcation structure. Through this analysis, we also discover families of solutions that have not been previously reported. Using the shared conjugate state structure between the MMCC3 model and the full Euler equations, we propose criteria for distinguishing the full range of solution behaviours. This alignment between the reduced and full models provides strong evidence that partitioning the parameter space into regions associated with distinct solution types is valid within both theories. This classification is further substantiated by numerical solutions to both models, which show excellent agreement. △ Less

Submitted 29 September, 2025; originally announced September 2025.

Comments: 41 pages, 24 figures,

MSC Class: 76B15; 76B25; 76B55

Imaging through volumetric scattering media by decoding angular light paths

Authors: Kalpak Gupta, Dinh Hoang Tran, Sungsam Kang, Yongwoo Kwon, Seokchan Yoon, Jin Hee Hong, Ye-Ryoung Lee, Wonshik Choi

Abstract: High-resolution optical microscopy has transformed biological imaging, yet its resolution and contrast deteriorate with depth due to multiple light scattering. Conventional correction strategies typically approximate the medium as one or a few discrete layers. While effective in the presence of dominant scattering layers, these approaches break down in thick, volumetric tissues, where accurate mod… ▽ More High-resolution optical microscopy has transformed biological imaging, yet its resolution and contrast deteriorate with depth due to multiple light scattering. Conventional correction strategies typically approximate the medium as one or a few discrete layers. While effective in the presence of dominant scattering layers, these approaches break down in thick, volumetric tissues, where accurate modeling would require an impractically large number of layers. To address this challenge, we introduce an inverse-scattering framework that represents the entire volume as a superposition of angular deflectors, each corresponding to scattering at a specific angle. This angular formulation is particularly well suited to biological tissues, where narrow angular spread due to the dominant forward scattering allow most multiple scattering to be captured with relatively few components. Within this framework, we solve the inverse problem by progressively incorporating contributions from small to large deflection angles. Applied to simulations and in vivo reflection-mode imaging through intact mouse skull, our method reconstructs up to 121 angular components, converting ~80% of multiply scattered light into signal. This enables non-invasive visualization of osteocytes in the skull that remain inaccessible to existing layer-based methods. These results establish the scattering-angle basis as a deterministic framework for imaging through complex media, paving the way for high-resolution microscopy deep inside living tissues. △ Less

Submitted 14 September, 2025; originally announced September 2025.

Membrane-Electrode Assemblies for Electrochemical Reduction of CO2 to Ethylene: Design for Minimal Energy Consumption

Authors: Tugrul Y. Ertugrul, Woong Choi, Adam Z. Weber, Alexis T. Bell

Abstract: Membrane-electrode-assembly (MEA) cells with copper (Cu) cathodes show strong potential for electrochemical CO2 reduction to ethylene (C2H4), but achieving high C2H4 selectivity remains a challenge due to competing hydrogen evolution. This selectivity is highly sensitive to the local microenvironment near the Cu catalyst surface. In this study, a 1-D, multiphysics continuum model is utilized to in… ▽ More Membrane-electrode-assembly (MEA) cells with copper (Cu) cathodes show strong potential for electrochemical CO2 reduction to ethylene (C2H4), but achieving high C2H4 selectivity remains a challenge due to competing hydrogen evolution. This selectivity is highly sensitive to the local microenvironment near the Cu catalyst surface. In this study, a 1-D, multiphysics continuum model is utilized to investigate how MEA cell performance and faradaic efficiency (FE) to C2H4 are affected by both component properties and operating conditions, with particular focus on coupled transport and reaction phenomena. Key parameters include cathode electrochemically active surface area (ECSA) and catalyst layer thickness. Halving catalyst layer thickness increases FE to C2H4 by 2% and lowers the cell voltage by 40 mV. In contrast, a tenfold decrease in ECSA results increases the FE to C2H4 by 7% but leads increase cell voltage at a given current density by 150 mV. This tradeoff occurs because the potential distribution within the cathode catalyst layer is the primary driving force for C2H4 formation. Increased cell voltage also raises the energy cost of C2H4 production. This model framework enables techno-economic assessments and identifies key factors that must be optimized to enable economically viable production of C2H4 via electrochemical reduction of CO2. △ Less

Submitted 1 September, 2025; originally announced September 2025.

Parallel-plate chambers as radiation-hard detectors for time-based beam diagnostics in carbon-ion radiotherapy

Authors: Na Hye Kwon, Sung Woon Choi, Soo Rim Han, Yongdo Yun, Min Cheol Han, Chae-Seon Hong, Ho Jin Kim, Ho Lee, Changhwan Kim, Do Won Kim, Woong Sub Koom, Jin Sung Kim, N. Carolino, L. Lopes, Dong Wook Kim, Paulo J. R. Fonte

Abstract: Accurate range verification of carbon ion beams is critical for the precision and safety of charged particle radiotherapy. In this study, we evaluated the feasibility of using a parallel-plate ionization chamber for real-time, time-based diagnostic monitoring of carbon ion beams. The chamber featured a 0.4 mm gas gap defined by metallic electrodes and was filled with carbon dioxide (CO$_2$), a non… ▽ More Accurate range verification of carbon ion beams is critical for the precision and safety of charged particle radiotherapy. In this study, we evaluated the feasibility of using a parallel-plate ionization chamber for real-time, time-based diagnostic monitoring of carbon ion beams. The chamber featured a 0.4 mm gas gap defined by metallic electrodes and was filled with carbon dioxide (CO$_2$), a non-polymerizing gas suitable for high-rate applications. Timing precision was assessed via self-correlation analysis, yielding a precision approaching one picosecond for one-second acquisitions under clinically relevant beam conditions. This level of timing accuracy translates to a water-equivalent range uncertainty of approximately 1 mm, which meets the recommended clinical tolerance for carbon ion therapy. Furthermore, the kinetic energy of the beam at the synchrotron extraction point was determined from the measured orbital period, with results consistently within 1 MeV/nucleon of the nominal energy. These findings demonstrate the potential of parallel-plate chambers for precise, real-time energy and range verification in clinical carbon ion beam quality assurance. △ Less

Submitted 16 July, 2025; originally announced July 2025.

Comments: 14 pages, 10 figures, 2 tables. Submitted to Nucl. Instrum. Methods Phys. Res. A

Phase-Space Topology in a Single-Atom Synthetic Dimension

Authors: Kyungmin Lee, Sunkyu Yu, Jiyong Kang, Seungwoo Yu, Wonhyeong Choi, Daun Chung, Sumin Park, Taehyun Kim

Abstract: We investigate topological features in the synthetic Fock-state lattice (FSL) of a single-atom system described by the quantum Rabi model. By diagonalizing the Hamiltonian, we identify a zero-energy defect state localized at a domain wall of the FSL, whose spin polarization is topologically protected. To address the challenge of applying band topology to the FSL, we introduce a physically motivate… ▽ More We investigate topological features in the synthetic Fock-state lattice (FSL) of a single-atom system described by the quantum Rabi model. By diagonalizing the Hamiltonian, we identify a zero-energy defect state localized at a domain wall of the FSL, whose spin polarization is topologically protected. To address the challenge of applying band topology to the FSL, we introduce a physically motivated and directly measurable topological invariant based on phase-space geometry-the phase-space winding number. We show that the Zak phase, computed using a phase-space parameter, is related to the invariant. This quantized geometric phase reflects the spin polarization of the defect state, demonstrating a bulk-boundary correspondence. The resulting phase-space topology reveals the emergence of single-atom dressed states with contrasting properties-topologically protected spin states and driving-tunable bosonic states. Our results establish phase-space topology as a novel framework for exploring topological physics in single-atom synthetic dimensions, uncovering quantum-unique topological protection distinct from classical analogs. △ Less

Submitted 11 January, 2026; v1 submitted 30 June, 2025; originally announced June 2025.

Journal ref: Phys. Rev. A 113, L010401 (2016)

Reconstruction-free magnetic control of DIII-D plasma with deep reinforcement learning

Authors: G. F. Subbotin, D. I. Sorokin, M. R. Nurgaliev, A. A. Granovskiy, I. P. Kharitonov, E. V. Adishchev, E. N. Khairutdinov, R. Clark, H. Shen, W. Choi, J. Barr, D. M. Orlov

Abstract: Precise control of plasma shape and position is essential for stable tokamak operation and achieving commercial fusion energy. Traditional control methods rely on equilibrium reconstruction and linearized models, limiting adaptability and real-time performance. Here,the first application of deep reinforcement learning (RL) for magnetic plasma control on the mid-size DIII-D tokamak is presented, de… ▽ More Precise control of plasma shape and position is essential for stable tokamak operation and achieving commercial fusion energy. Traditional control methods rely on equilibrium reconstruction and linearized models, limiting adaptability and real-time performance. Here,the first application of deep reinforcement learning (RL) for magnetic plasma control on the mid-size DIII-D tokamak is presented, demonstrating a nonlinear approach that improves robustness and flexibility across plasma scenarios. Using the Soft Actor-Critic algorithm, this method eliminates the need for equilibrium reconstruction, enabling high-speed control execution and scalability on larger fusion devices. NSFsim, a 2D Grad-Shafranov equilibration solver with a circuit equation and a 1D transport solver, is used to train the agent. Its capability of reproducing the kinetic parameter evolution alongside magnetic equilibria evolution appears to be an essential factor significantly affecting control quality. RL-based controllers demonstrated robust magnetic control in experimental application at DIII-D, preserving control performance in transient events during plasma discharges, and reaching target parameters from the first discharge without additional tuning or modifications. The approach itself has significant generalization potential across devices and targets. This work represents a step toward AI-driven, real-time plasma control, advancing the feasibility of next-generation fusion reactors. △ Less

Submitted 16 June, 2025; originally announced June 2025.

Comments: 19 pages, 9 figures

Two-Mode Bosonic State Tomography with Single-Shot Joint-Parity Measurement of a Trapped Ion

Authors: Honggi Jeon, Jiyong Kang, Wonhyeong Choi, Kyunghye Kim, Jaehun You, Taehyun Kim

Abstract: The full characterization of a continuous-variable quantum system is a challenging problem. For the trapped-ion system, a number of methods of measuring the quantum states have been developed, including the measurement of the Q quasiprobability function and the density-matrix elements in the Fock basis, but these approaches are often slow and difficult to scale to multimode states. Here, we demons… ▽ More The full characterization of a continuous-variable quantum system is a challenging problem. For the trapped-ion system, a number of methods of measuring the quantum states have been developed, including the measurement of the Q quasiprobability function and the density-matrix elements in the Fock basis, but these approaches are often slow and difficult to scale to multimode states. Here, we demonstrate a novel and powerful scheme for measuring a continuous-variable quantum state that uses the direct single-shot measurement of the joint parity of the phonon states of a trapped ion. We drive a spin-dependent bichromatic beam-splitter interaction that coherently exchanges phonons between different harmonic oscillator modes of the ion. This interaction encodes the joint-parity information into the relative phase between the two spin states, enabling measurement of the combined phonon-number parity across multiple modes in a single shot. Leveraging this capability, we directly measure multimode Wigner quasiprobability distributions to perform quantum state tomography of an entangled coherent state, and calculate various quantum informational quantities with a model-based estimation of the density matrix. We further show that the single-shot joint-parity measurement can be used to detect parity-flip errors in real time. By postselecting the parity-measurement outcomes, we experimentally demonstrate the partial recovery of coherence, effectively implementing an error-mitigation technique. Lastly, we identify the various sources of error affecting the fidelity of the spin-dependent beam-splitter operation and study the feasibility of high-fidelity operations. The interaction studied in this work can be extended to more than two modes, and is highly relevant to continuous-variable quantum computing and quantum metrology. △ Less

Submitted 5 December, 2025; v1 submitted 14 June, 2025; originally announced June 2025.

Journal ref: PRX Quantum 6, 040352 (2025)

Internal solitary and cnoidal waves of moderate amplitude in a two-layer fluid: the extended KdV equation approximation

Authors: Nerijus Sidorovas, Dmitri Tseluiko, Wooyoung Choi, Karima Khusnutdinova

Abstract: We consider travelling internal waves in a two-layer fluid with linear shear currents from the viewpoint of the extended Korteweg-de Vries (eKdV) equation derived from a strongly-nonlinear long-wave model. Using an asymptotic Kodama-Fokas-Liu near-identity transformation, we map the eKdV equation to the Gardner equation. This improved Gardner equation has a different cubic nonlinearity coefficient… ▽ More We consider travelling internal waves in a two-layer fluid with linear shear currents from the viewpoint of the extended Korteweg-de Vries (eKdV) equation derived from a strongly-nonlinear long-wave model. Using an asymptotic Kodama-Fokas-Liu near-identity transformation, we map the eKdV equation to the Gardner equation. This improved Gardner equation has a different cubic nonlinearity coefficient and an additional transport term compared to the frequently used truncated Gardner equation. We then construct approximate solitary and cnoidal wave solutions of the eKdV equation using this mapping and test validity and performance of these approximations, as well as performance of the truncated and improved Gardner and eKdV equations, by comparison with direct numerical simulations of the strongly-nonlinear two-layer long-wave parent system in the absence of currents. △ Less

Submitted 30 April, 2025; originally announced April 2025.

Comments: 37 pages, 10 figures

Classification of Electron and Muon Neutrino Events for the ESS$ν$SB Near Water Cherenkov Detector using Graph Neural Networks

Authors: J. Aguilar, M. Anastasopoulos, D. Barčot, E. Baussan, A. K. Bhattacharyya, A. Bignami, M. Blennow, M. Bogomilov, B. Bolling, E. Bouquerel, F. Bramati, A. Branca, G. Brunetti, A. Burgman, I. Bustinduy, C. J. Carlile, J. Cederkall, T. W. Choi, S. Choubey, P. Christiansen, M. Collins, E. Cristaldo Morales, P. Cupiał, D. D'Ago, H. Danared , et al. (72 additional authors not shown)

Abstract: In the effort to obtain a precise measurement of leptonic CP-violation with the ESS$ν$SB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In this work, we examine the possibility of replacing the currently proposed likelihood-based reconstruction method with an approach based on Graph Neural Networks (GNNs). As the likelihood-based reconstruction method is reas… ▽ More In the effort to obtain a precise measurement of leptonic CP-violation with the ESS$ν$SB experiment, accurate and fast reconstruction of detector events plays a pivotal role. In this work, we examine the possibility of replacing the currently proposed likelihood-based reconstruction method with an approach based on Graph Neural Networks (GNNs). As the likelihood-based reconstruction method is reasonably accurate but computationally expensive, one of the benefits of a Machine Learning (ML) based method is enabling fast event reconstruction in the detector development phase, allowing for easier investigation of the effects of changes to the detector design. Focusing on classification of flavour and interaction type in muon and electron events and muon- and electron neutrino interaction events, we demonstrate that the GNN reconstructs events with greater accuracy than the likelihood method for events with greater complexity, and with increased speed for all events. Additionally, we investigate the key factors impacting reconstruction performance, and demonstrate how separation of events by pion production using another GNN classifier can benefit flavour classification. △ Less

Submitted 3 April, 2025; v1 submitted 19 March, 2025; originally announced March 2025.

Comments: 22 pages, 19 figures

Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)

Authors: Yoonsoo Nam, Seok Hyeong Lee, Clementine C J Domine, Yeachan Park, Charles London, Wonyl Choi, Niclas Goring, Seungjai Lee

Abstract: In physics, complex systems are often simplified into minimal, solvable models that retain only the core principles. In machine learning, layerwise linear models (e.g., linear neural networks) act as simplified representations of neural network dynamics. These models follow the dynamical feedback principle, which describes how layers mutually govern and amplify each other's evolution. This princip… ▽ More In physics, complex systems are often simplified into minimal, solvable models that retain only the core principles. In machine learning, layerwise linear models (e.g., linear neural networks) act as simplified representations of neural network dynamics. These models follow the dynamical feedback principle, which describes how layers mutually govern and amplify each other's evolution. This principle extends beyond the simplified models, successfully explaining a wide range of dynamical phenomena in deep neural networks, including neural collapse, emergence, lazy and rich regimes, and grokking. In this position paper, we call for the use of layerwise linear models retaining the core principles of neural dynamical phenomena to accelerate the science of deep learning. △ Less

Submitted 26 May, 2025; v1 submitted 28 February, 2025; originally announced February 2025.

Comments: accepted to ICML 2025 position track

Metallicity and Anomalous Hall Effect in Epitaxially-Strained, Atomically-thin RuO2 Films

Authors: Seung Gyo Jeong, Seungjun Lee, Bonnie Lin, Zhifei Yang, In Hyeok Choi, Jin Young Oh, Sehwan Song, Seung wook Lee, Sreejith Nair, Rashmi Choudhary, Juhi Parikh, Sungkyun Park, Woo Seok Choi, Jong Seok Lee, James M. LeBeau, Tony Low, Bharat Jalan

Abstract: The anomalous Hall effect (AHE), a hallmark of time-reversal symmetry breaking, has been reported in rutile RuO2, a debated metallic altermagnetic candidate. Previously, AHE in RuO2 was observed only in strain-relaxed thick films under extremely high magnetic fields (~50 T). Yet, in ultrathin strained films with distinctive anisotropic electronic structures, there are no reports, likely due to dis… ▽ More The anomalous Hall effect (AHE), a hallmark of time-reversal symmetry breaking, has been reported in rutile RuO2, a debated metallic altermagnetic candidate. Previously, AHE in RuO2 was observed only in strain-relaxed thick films under extremely high magnetic fields (~50 T). Yet, in ultrathin strained films with distinctive anisotropic electronic structures, there are no reports, likely due to disorder and defects suppressing metallicity thus hindering its detection. Here, we demonstrate that ultrathin, fully-strained 2 nm TiO2/t nm RuO2/TiO2 (110) heterostructures, grown by hybrid molecular beam epitaxy, retain metallicity and exhibit a sizeable AHE at a significantly lower magnetic field (< 9 T). Density functional theory calculations reveal that epitaxial strain stabilizes a non-compensated magnetic ground state and reconfigures magnetic ordering in RuO2 (110) thin films. These findings establish ultrathin RuO2 as a platform for strain-engineered magnetism and underscore the transformative potential of epitaxial design in advancing spintronic technologies. △ Less

Submitted 19 January, 2025; originally announced January 2025.

Comments: 23 pages

Performance of the prototype beam drift chamber for LAMPS at RAON with proton and Carbon-12 beams

Authors: H. Kim, Y. Bae, C. Heo, J. Seo, J. Hwang, D. H. Moon, D. S. Ahn, J. K. Ahn, J. Bae, J. Bok, Y. Cheon, S. W. Choi, S. Do, B. Hong, S. -W. Hong, J. Huh, S. Hwang, Y. Jang, B. Kang, A. Kim, B. Kim, C. Kim, E. -J. Kim, G. Kim, G. Kim , et al. (23 additional authors not shown)

Abstract: Beam Drift Chamber (BDC) is designed to reconstruct the trajectories of incident rare isotope beams provided by RAON (Rare isotope Accelerator complex for ON-line experiments) into the experimental target of LAMPS (Large Acceptance Multi-Purpose Spectrometer). To conduct the performance test of the BDC, the prototype BDC (pBDC) is manufactured and evaluated with the high energy ion beams from HIMA… ▽ More Beam Drift Chamber (BDC) is designed to reconstruct the trajectories of incident rare isotope beams provided by RAON (Rare isotope Accelerator complex for ON-line experiments) into the experimental target of LAMPS (Large Acceptance Multi-Purpose Spectrometer). To conduct the performance test of the BDC, the prototype BDC (pBDC) is manufactured and evaluated with the high energy ion beams from HIMAC (Heavy Ion Medical Accelerator in Chiba) facility in Japan. Two kinds of ion beams, 100 MeV proton, and 200 MeV/u $^{12}$C, have been utilized for this evaluation, and the track reconstruction efficiency and position resolution have been measured as the function of applied high voltage. This paper introduces the construction details and presents the track reconstruction efficiency and position resolution of pBDC. △ Less

Submitted 6 December, 2024; originally announced December 2024.

Comments: 13 pages, 15 figures

Journal ref: JINST 19 (2024) P12008

Designing a Validation Experiment for Radio Frequency Condensation

Authors: Lanke Fu, E. Litvinova Mitra, R. Nies, A. H. Reiman, M. Austin, L. Bardoczi, M. Brookman, Xi Chen, W. Choi, N. J. Fisch, Q. Hu, A. Hyatt, E. Jung, R. La Haye, N. C. Logan, M. Maraschek, J. J. McClenaghan, E. Strait, A. Welander, J. Yang, ASDEX Upgrade team

Abstract: Theoretical studies have suggested that nonlinear effects can lead to "radio frequency condensation", which coalesces RF power deposition and driven current near the center of a magnetic island. It is predicted that an initially broad current profile can coalesce in islands when they reach sufficient width, providing automatic stabilization. Experimental validation of the theory has thus far been… ▽ More Theoretical studies have suggested that nonlinear effects can lead to "radio frequency condensation", which coalesces RF power deposition and driven current near the center of a magnetic island. It is predicted that an initially broad current profile can coalesce in islands when they reach sufficient width, providing automatic stabilization. Experimental validation of the theory has thus far been lacking. This paper proposes experiments on DIII-D for testing and refining the theory of the nonlinear effects. △ Less

Submitted 17 October, 2024; originally announced October 2024.

Functional Ultrasound Imaging Combined with Machine Learning for Whole-Brain Analysis of Drug-Induced Hemodynamic Changes

Authors: Jared Deighton, Shan Zhong, Kofi Agyeman, Wooseong Choi, Charles Liu, Darrin Lee, Vasileios Maroulas, Vasileios Christopoulos

Abstract: Functional ultrasound imaging (fUSI) is a cutting-edge technology that measures changes in cerebral blood volume (CBV) by detecting backscattered echoes from red blood cells moving within its field of view (FOV). It offers high spatiotemporal resolution and sensitivity, allowing for detailed visualization of cerebral blood flow dynamics. While fUSI has been utilized in preclinical drug development… ▽ More Functional ultrasound imaging (fUSI) is a cutting-edge technology that measures changes in cerebral blood volume (CBV) by detecting backscattered echoes from red blood cells moving within its field of view (FOV). It offers high spatiotemporal resolution and sensitivity, allowing for detailed visualization of cerebral blood flow dynamics. While fUSI has been utilized in preclinical drug development studies to explore the mechanisms of action of various drugs targeting the central nervous system, many of these studies rely on predetermined regions of interest (ROIs). This focus may overlook relevant brain activity outside these specific areas, which could influence the results. To address this limitation, we compared three machine learning approaches-convolutional neural network (CNN), support vector machine (SVM), and vision transformer (ViT)-combined with fUSI to analyze the pharmacodynamics of Dizocilpine (MK-801), a potent non-competitive NMDA receptor antagonist commonly used in preclinical models for memory and learning impairments. While all three machine learning techniques could distinguish between drug and control conditions, CNN proved particularly effective due to their ability to capture hierarchical spatial features while maintaining anatomical specificity. Class activation mapping revealed brain regions, including the prefrontal cortex and hippocampus, that are significantly affected by drug administration, consistent with the literature reporting a high density of NMDA receptors in these areas. Overall, the combination of fUSI and CNN creates a novel analytical framework for examining pharmacological mechanisms, allowing for data-driven identification and regional mapping of drug effects while preserving anatomical context and physiological relevance. △ Less

Submitted 19 August, 2025; v1 submitted 12 October, 2024; originally announced October 2024.

Comments: 24 pages, 6 figures

Leveraging reconfigurable micro-resonator soliton crystals for Intensity-Modulated Direct Detection Data Transmission

Authors: Xavier X. Chia, Kenny Y. K. Ong, A. Aadhi, George F. R. Chen, Ju Won Choi, Byoung-Uk Sohn, Amdad Chowdury, Dawn T. H. Tan

Abstract: The perennial demand for highly efficient short-haul communications is evidenced by a sustained explosion of growth in data center infrastructure that is predicted to continue for the foreseeable future. In these relatively compact networks, cost-sensitivity is of particular importance, which limits options to direct detection schemes that are more cost efficient than their coherent counterparts.… ▽ More The perennial demand for highly efficient short-haul communications is evidenced by a sustained explosion of growth in data center infrastructure that is predicted to continue for the foreseeable future. In these relatively compact networks, cost-sensitivity is of particular importance, which limits options to direct detection schemes that are more cost efficient than their coherent counterparts. Since their initial demonstration, multi-soliton states in optical microresonators have been observed to manifest in self-organised ensembles where soliton pulses are equally spaced around the resonators. In the spectral domain, these states, dubbed soliton crystals (SCs), result in significant enhancements to individual comb lines depending on the crystal state, making them well suited towards intensity-modulated direct detection (IMDD) schemes. In this work, we experimentally demonstrate adiabatic, deterministic access to lower-order soliton crystal states using an auxiliary-assisted cavity pumping method, attaining up to 19.6 dB enhancement of the comb lines in the 7-SC configuration compared to the single-soliton state. Seven comb lines of each 46 Gbaud/s pulse amplitude modulation 4 (PAM4) is transmitted over 4km of fiber in comb lines across the C-band with bit-error-rates (BER) as low as 5E-5. Our demonstration shows the promising way of using soliton crystal states as future integrated sources for highly stable Terabaud/s datacenter communications. △ Less

Submitted 11 October, 2024; originally announced October 2024.

All-optical in vivo photoacoustic tomography by adaptive multilayer temporal backpropagation

Authors: Taeil Yoon, Hakseok Ko, Jeongmyo Im, Euiheon Chung, Wonshik Choi, Byeong Ha Lee

Abstract: Photoacoustic tomography (PAT) offers high optical contrast with acoustic imaging depth, making it essential for biomedical applications. While many all-optical systems have been developed to address limitations of ultrasound transducers, such as limited spatial sampling and optical path obstructions, measuring surface displacements on rough and dynamic tissues remains challenging. Existing method… ▽ More Photoacoustic tomography (PAT) offers high optical contrast with acoustic imaging depth, making it essential for biomedical applications. While many all-optical systems have been developed to address limitations of ultrasound transducers, such as limited spatial sampling and optical path obstructions, measuring surface displacements on rough and dynamic tissues remains challenging. Existing methods often lack sensitivity for in vivo imaging or are complex and time-consuming. Here, we present an all-optical PAT system that enables fast, high-resolution volumetric imaging in live tissues. Using full-field holographic microscopy combined with a soft cover layer and coherent averaging, the system maps surface displacements over a 10 mm*10 mm area with 0.5 nm sensitivity in 1 second. A temporal backpropagation algorithm reconstructs 3D images from a single pressure map, allowing rapid, depth-selective imaging. With adaptive multilayer backpropagation, the system achieves imaging depths of up to 5 mm, with lateral and axial resolutions of 158 micrometer and 92 micrometer as demonstrated through in vivo imaging of mouse vasculature. △ Less

Submitted 10 October, 2024; originally announced October 2024.

Implementation of reflection matrix microscopy: An algorithm perspective

Authors: Sungsam Kang, Seokchan Yoon, Wonshik Choi

Abstract: Over the past decade, reflection matrix microscopy (RMM) and advanced image reconstruction algorithms have emerged to address the fundamental imaging depth limitations of optical microscopy in thick biological tissues and complex media. In this study, we introduce significant advancements in reflection matrix processing algorithms, including logical indexing, power iterations, and low-frequency bl… ▽ More Over the past decade, reflection matrix microscopy (RMM) and advanced image reconstruction algorithms have emerged to address the fundamental imaging depth limitations of optical microscopy in thick biological tissues and complex media. In this study, we introduce significant advancements in reflection matrix processing algorithms, including logical indexing, power iterations, and low-frequency blocking. These enhance the processing speed of aperture synthesis, 3D image reconstruction, and aberration correction by orders of magnitude. Detailed algorithm implementations, along with experimental data, are provided to facilitate the widespread adoption of RMM in various deep-tissue imaging applications. △ Less

Submitted 2 July, 2024; originally announced July 2024.

Characterization of a graphene-hBN superlattice field effect transistor

Authors: Won Beom Choi, Youngoh Son, Hangyeol Park, Yungi Jeong, Junhyeok Oh, K. Watanabe, T. Taniguchi, Joonho Jang

Abstract: Graphene provides a unique platform for hosting high quality 2D electron systems. Encapsulating graphene with hexagonal boron nitride (hBN) to shield it from noisy environments offers the potential to achieve ultrahigh performance nanodevices, such as photodiodes and transistors. However, the absence of a bandgap at the Dirac point presents challenges for using this system as a useful transistor.… ▽ More Graphene provides a unique platform for hosting high quality 2D electron systems. Encapsulating graphene with hexagonal boron nitride (hBN) to shield it from noisy environments offers the potential to achieve ultrahigh performance nanodevices, such as photodiodes and transistors. However, the absence of a bandgap at the Dirac point presents challenges for using this system as a useful transistor. In this study, we investigated the functionality of hBN-aligned monolayer graphene as a field effect transistor (FET). By precisely aligning the hBN and graphene, bandgaps open at the first Dirac point and at the hole-doped induced Dirac point via an interfacial moiré potential. To characterize this as a submicrometer scale FET, we fabricated a global bottom gate to tune the density of a conducting channel and a local top gate to switch off this channel. This demonstrated that the system could be tuned to an optimal on/off ratio regime by separately controlling the gates. These findings provide a valuable reference point for the further development of FETs based on graphene heterostructures. △ Less

Submitted 12 July, 2024; v1 submitted 10 May, 2024; originally announced May 2024.

Journal ref: Appl. Phys. Lett. 125, 033503 (2024)

Multiphoton super-resolution imaging via virtual structured illumination

Authors: Sumin Lim, Sungsam Kang, Jin-Hee Hong, Youngho Jin, Kalpak Gupta, Moonseok Kim, Suhyun Kim, Wonshik Choi, Seokchan Yoon

Abstract: Imaging in thick biological tissues is often degraded by sample-induced aberrations, which reduce image quality and resolution, particularly in super-resolution techniques. While hardware-based adaptive optics, which correct aberrations using wavefront shaping devices, provide an effective solution, their complexity and cost limit accessibility. Computational methods offer simpler alternatives but… ▽ More Imaging in thick biological tissues is often degraded by sample-induced aberrations, which reduce image quality and resolution, particularly in super-resolution techniques. While hardware-based adaptive optics, which correct aberrations using wavefront shaping devices, provide an effective solution, their complexity and cost limit accessibility. Computational methods offer simpler alternatives but struggle with complex aberrations due to the incoherent nature of fluorescence. Here, we present a deep-tissue super-resolution imaging framework that addresses these challenges with minimal hardware modification. By replacing the photodetector in a standard laser-scanning microscope with a camera, we measure an incoherent response matrix (IRM). A dual deconvolution algorithm is developed to decompose the IRM into excitation and emission optical transfer functions and the object spectrum. The proposed method simultaneously corrects excitation and emission point-spread functions (PSFs), achieving a resolution of λ/4, comparable to structured illumination microscopy. Unlike existing computational methods that rely on vector decomposition of a single convoluted PSF, our matrix-based approach enhances image reconstruction, particularly for high spatial frequency components, enabling super-resolution even in the presence of complex aberrations. We validated this framework with two-photon super-resolution imaging, achieving a lateral resolution of 130 nanometers at a depth of 180 micrometers in thick mouse brain tissue. △ Less

Submitted 12 October, 2024; v1 submitted 17 April, 2024; originally announced April 2024.

Ptychographic lensless coherent endomicroscopy through a flexible fiber bundle

Authors: Gil Weinberg, Munkyu Kang, Wonjun Choi, Wonshik Choi, Ori Katz

Abstract: Conventional fiber-bundle-based endoscopes allow minimally invasive imaging through flexible multi-core fiber (MCF) bundles by placing a miniature lens at the distal tip and using each core as an imaging pixel. In recent years, lensless imaging through MCFs was made possible by correcting the core-to-core phase distortions pre-measured in a calibration procedure. However, temporally varying wavefr… ▽ More Conventional fiber-bundle-based endoscopes allow minimally invasive imaging through flexible multi-core fiber (MCF) bundles by placing a miniature lens at the distal tip and using each core as an imaging pixel. In recent years, lensless imaging through MCFs was made possible by correcting the core-to-core phase distortions pre-measured in a calibration procedure. However, temporally varying wavefront distortions, for instance, due to dynamic fiber bending, pose a challenge for such approaches. Here, we demonstrate a coherent lensless imaging technique based on intensity-only measurements insensitive to core-to-core phase distortions. We leverage a ptychographic reconstruction algorithm to retrieve the phase and amplitude profiles of reflective objects placed at a distance from the fiber tip, using as input a set of diffracted intensity patterns reflected from the object when the illumination is scanned over the MCF cores. Our approach thus utilizes an acquisition process equivalent to confocal microendoscopy, only replacing the single detector with a camera. △ Less

Submitted 31 January, 2024; originally announced February 2024.

Divergent Clinical Equivalence Findings from DVH and NTCP Metrics for Alternative OAR Delineations with Increasing Setup Variability in Head-and-Neck Radiotherapy

Authors: M. N. H. Rashad, Abishek Karki, Jason Czak, Victor Gabriel Alves, Hamidreza Nourzadeh, Wookjin Choi, Jeffrey V Siebers

Abstract: Purpose: This study quantifies the variation in dose-volume histogram (DVH) and normal tissue complication probability (NTCP) metrics for head-and-neck (HN) cancer patients when alternative organ-at-risk (OAR) delineations are used for treatment planning and for treatment plan evaluation. We particularly focus on the effects of daily patient positioning/setup variations (SV) in relation to treatme… ▽ More Purpose: This study quantifies the variation in dose-volume histogram (DVH) and normal tissue complication probability (NTCP) metrics for head-and-neck (HN) cancer patients when alternative organ-at-risk (OAR) delineations are used for treatment planning and for treatment plan evaluation. We particularly focus on the effects of daily patient positioning/setup variations (SV) in relation to treatment technique and delineation variability. Materials and Methods: We generated two-arc VMAT, 5-beam IMRT, and 9-beam IMRT treatment plans for a cohort of 209 HN patients. These plans incorporated five different OAR delineation sets, including manual and four automated algorithms. Each treatment plan was assessed under various simulated per-fraction patient setup uncertainties, evaluating the potential clinical impacts through DVH and NTCP metrics. Results: The study demonstrates that increasing setup variability generally reduces differences in DVH metrics between alternative delineations. However, in contrast, differences in NTCP metrics tend to increase with higher setup variability. This pattern is observed consistently across different treatment plans and delineator combinations, illustrating the intricate relationship between SV and delineation accuracy. Additionally, the need for delineation accuracy in treatment planning is shown to be case-specific and dependent on factors beyond geometric variations. Conclusions: The findings highlight the necessity for comprehensive quality assurance programs in radiotherapy, incorporating both dosimetric impact analysis and geometric variation assessment to ensure optimal delineation quality. The study emphasizes the complex dynamics of treatment planning in radiotherapy, advocating for personalized, case-specific strategies in clinical practice to enhance patient care quality and efficacy in the face of varying SV and delineation accuracies. △ Less

Submitted 13 August, 2024; v1 submitted 10 January, 2024; originally announced January 2024.

Comments: 7 pages, 6 figures

Nonlinear concentric water waves of moderate amplitude

Authors: Nerijus Sidorovas, Dmitri Tseluiko, Wooyoung Choi, Karima Khusnutdinova

Abstract: We consider the outward-propagating nonlinear concentric water waves within the scope of the 2D Boussinesq system. The problem is axisymmetric, and we derive the slow radius versions of the cylindrical Korteweg - de Vries (cKdV) and extended cKdV (ecKdV) models. Numerical runs are initially performed using the full axisymmetric Boussinesq system. At some distance away from the origin, we use the n… ▽ More We consider the outward-propagating nonlinear concentric water waves within the scope of the 2D Boussinesq system. The problem is axisymmetric, and we derive the slow radius versions of the cylindrical Korteweg - de Vries (cKdV) and extended cKdV (ecKdV) models. Numerical runs are initially performed using the full axisymmetric Boussinesq system. At some distance away from the origin, we use the numerical solution of the Boussinesq system as the "initial condition" for the derived cKdV and ecKdV models. We then compare the evolution of the waves as described by both reduced models and the direct numerical simulations of the axisymmetric Boussinesq system. The main conclusion of the paper is that the extended cKdV model provides a much more accurate description of the waves and extends the range of validity of the weakly-nonlinear modelling to the waves of moderate amplitude. △ Less

Submitted 28 October, 2023; originally announced October 2023.

Comments: 29 pages, 17 figures

Experimental Realization of Entangled Coherent States in Two-dimensional Harmonic Oscillators of a Trapped Ion

Authors: Honggi Jeon, Jiyong Kang, Jaeun Kim, Wonhyeong Choi, Kyunghye Kim, Taehyun Kim

Abstract: Entangled coherent states play pivotal roles in various fields such as quantum computation, quantum communication, and quantum sensing. We experimentally demonstrate the generation of entangled coherent states with the two-dimensional motion of a trapped ion system. Using Raman transitions with appropriate detunings, we simultaneously drive the red and blue sidebands of the two transverse axes of… ▽ More Entangled coherent states play pivotal roles in various fields such as quantum computation, quantum communication, and quantum sensing. We experimentally demonstrate the generation of entangled coherent states with the two-dimensional motion of a trapped ion system. Using Raman transitions with appropriate detunings, we simultaneously drive the red and blue sidebands of the two transverse axes of a single trapped ion and observe multi-periodic entanglement and disentanglement of its spin and two-dimensional motion. Then, by measuring the spin state, we herald entangled coherent states of the transverse motions of the trapped ion and observe the corresponding modulation in the parity of the phonon distribution of one of the harmonic oscillators. Lastly, we trap two ions in a linear chain and realize Molmer-Sorensen gate using two-dimensional motion. △ Less

Submitted 1 May, 2023; originally announced May 2023.

Journal ref: Sci Rep 14, 6847 (2024)

Synthetic aperture phase imaging of second harmonic generation field with computational adaptive optics

Authors: Jungho Moon, Sungsam Kang, Jin Hee Hong, Seokchan Yoon, Wonshik Choi

Abstract: Second-harmonic generation (SHG) microscopy provides label-free imaging of biological tissues with unique contrast mechanisms, but its resolution is limited by the diffraction limit. Here, we present the first experimental demonstration of super-resolution quantitative phase imaging of the SHG field based on synthetic aperture Fourier holographic microscopy. We discuss the mathematical model of sy… ▽ More Second-harmonic generation (SHG) microscopy provides label-free imaging of biological tissues with unique contrast mechanisms, but its resolution is limited by the diffraction limit. Here, we present the first experimental demonstration of super-resolution quantitative phase imaging of the SHG field based on synthetic aperture Fourier holographic microscopy. We discuss the mathematical model of synthetic-aperture imaging of SHG fields, as well as the computational adaptive optics technique for correcting sample-induced aberration. We demonstrate proof-of-concept experiments where SHG targets are embedded within a thick scattering medium to validate the performance of the proposed imaging technique. It is shown to be able to overcome the conventional Abbe diffraction limit even in the complex aberrations and strong multiple scattering. We also demonstrate SHG-based super-resolution deep-tissue phase imaging of ex-vivo zebrafish muscle tissue. △ Less

Submitted 27 April, 2023; originally announced April 2023.

Tracing multiple scattering trajectories for deep optical imaging in scattering media

Authors: Sungsam Kang, Yongwoo Kwon, Hojun Lee, Seho Kim, Jin Hee Hong, Seokchan Yoon, Wonshik Choi

Abstract: Multiple light scattering hampers imaging objects in complex scattering media. Approaches used in real practices mainly aim to filter out multiple scattering obscuring the ballistic waves that travel straight through the scattering medium. Here, we propose a method that makes the deterministic use of multiple scattering for microscopic imaging of an object embedded deep within scattering media. Th… ▽ More Multiple light scattering hampers imaging objects in complex scattering media. Approaches used in real practices mainly aim to filter out multiple scattering obscuring the ballistic waves that travel straight through the scattering medium. Here, we propose a method that makes the deterministic use of multiple scattering for microscopic imaging of an object embedded deep within scattering media. The proposed method finds a stack of multiple complex phase plates that generate similar light trajectories as the original scattering medium. By implementing the inverse scattering using the identified phase plates, our method rectifies multiple scattering and amplifies ballistic waves by almost 600 times, which leads to a substantial increase in imaging depth. Our study marks an important milestone in solving the longstanding high-order inverse scattering problems. △ Less

Submitted 19 February, 2023; originally announced February 2023.

Directional self-propelled transport of coalesced droplets on a superhydrophilic cylindrical wire

Authors: Leyun Feng, Youhua Jiang, Christian Machado, Wonjae Choi, Neelesh A. Patankar, Kyoo-Chul Park

Abstract: Droplets coalescing on flat surfaces tend to end up with the smaller droplet migrating into the larger one. We report a counter-intuitive droplet coalescence pattern on a superhydrophilic cylindrical wire, where the larger droplet is pulled toward the smaller one. Consequently, the center of the combined mass significantly moves toward, often beyond, the original location of the smaller droplet. T… ▽ More Droplets coalescing on flat surfaces tend to end up with the smaller droplet migrating into the larger one. We report a counter-intuitive droplet coalescence pattern on a superhydrophilic cylindrical wire, where the larger droplet is pulled toward the smaller one. Consequently, the center of the combined mass significantly moves toward, often beyond, the original location of the smaller droplet. This phenomenon occurs primarily because the viscous friction that a droplet experiences on a cylindrical wire is not positively correlated with the size of the droplet, unlike the droplets coalescing on flat surfaces. We conducted a dimensional analysis based on a mass-spring-damper (MSD) model. Our model predicts a variety of coalescence patterns as a function of the ratio between droplet sizes, and the prediction matches the experimental observation. △ Less

Submitted 20 November, 2022; originally announced November 2022.

Comments: 11 pages, 4 figures

Acousto-optic volumetric gating for reflection-mode deep optical imaging within a scattering medium

Authors: Hakseok Ko, Junghoon Kim, Jin-Hee Hong, Junyeob Cheon, Seungwoo Lee, Mooseok Jang, Wonshik Choi

Abstract: The imaging depth of deep-tissue optical microscopy is governed by the performance of the gating operation that suppresses the multiply scattered waves obscuring the ballistic waves. Although various gating operations based on confocal, time-resolved/coherence-gated, and polarization-selective detections have proven to be effective, each has its own limitation; certain types of multiply scattered… ▽ More The imaging depth of deep-tissue optical microscopy is governed by the performance of the gating operation that suppresses the multiply scattered waves obscuring the ballistic waves. Although various gating operations based on confocal, time-resolved/coherence-gated, and polarization-selective detections have proven to be effective, each has its own limitation; certain types of multiply scattered waves can bypass the gating. Here, we propose a method, volumetric gating, that introduces ultrasound focus to confocal reflectance imaging to suppress the multiply scattered waves traveling outside the ultrasonic focal volume. The volumetric gating axially rejects the multiply scattered wave traveling to a depth shallower than the object plane while suppressing the deeper penetrating portion that travels across the object plane outside the transversal extent of the ultrasonic focus of 30${\times}$90$ μm^2$. These joint gating actions along the axial and lateral directions attenuate the multiply scattered waves by a factor of 1/1000 or smaller, thereby extending the imaging depth to 12.1 times the scattering mean free path while maintaining the diffraction-limited resolution of 1.5 $μ$m. We demonstrated an increase in the imaging depth and contrast for internal tissue imaging of mouse colon and small intestine through their outer walls. We further developed theoretical and experimental frameworks to characterize the axial distribution of light trajectories inside scattering media. The volumetric gating will serve as an important addition to deep-tissue imaging modalities and a useful tool for studying wave propagation in scattering media. △ Less

Submitted 26 October, 2022; originally announced November 2022.

Comments: 18 pages, 5 figures

Exploiting volumetric wave correlation for enhanced depth imaging in scattering medium

Authors: Ye-Ryoung Lee, Dong-Young Kim, Yonghyeon Jo, Moonseok Kim, Wonshik Choi

Abstract: Imaging an object embedded within a scattering medium requires the correction of complex sample-induced wave distortions. Existing approaches have been designed to resolve them by optimizing signal waves recorded in each 2D image. Here, we present a volumetric image reconstruction framework that merges two fundamental degrees of freedom, the wavelength and propagation angles of light waves, based… ▽ More Imaging an object embedded within a scattering medium requires the correction of complex sample-induced wave distortions. Existing approaches have been designed to resolve them by optimizing signal waves recorded in each 2D image. Here, we present a volumetric image reconstruction framework that merges two fundamental degrees of freedom, the wavelength and propagation angles of light waves, based on the object momentum conservation principle. On this basis, we propose methods for exploiting the correlation of signal waves from volumetric images to better cope with multiple scattering. By constructing experimental systems scanning both wavelength and illumination angle of the light source, we demonstrated a 32-fold increase in the use of signal waves compared with that of existing 2D-based approaches and achieved ultrahigh volumetric resolution (lateral resolution: 0.41 um, axial resolution: 0.60 um) even within complex scattering medium owing to the optimal coherent use of the extremely broad spectral bandwidth (225 nm). △ Less

Submitted 13 October, 2022; originally announced October 2022.

Wave propagation dynamics inside a complex scattering medium by the temporal control of backscattered waves

Authors: Ye-Ryoung Lee, Wonjun Choi, Seungwon Jeong, Sungsam Kang, Dong-Young Kim, Wonshik Choi

Abstract: Shaping the wavefront of an incident wave to a complex scattering medium has demonstrated interesting possibilities, such as sub-diffraction wave focusing and enhancing light energy delivery. However, wavefront shaping has mainly been based on the control of transmitted waves that are inaccessible in most realistic applications. Here, we investigate the effect of maximizing the backscattered waves… ▽ More Shaping the wavefront of an incident wave to a complex scattering medium has demonstrated interesting possibilities, such as sub-diffraction wave focusing and enhancing light energy delivery. However, wavefront shaping has mainly been based on the control of transmitted waves that are inaccessible in most realistic applications. Here, we investigate the effect of maximizing the backscattered waves at a specific flight time on wave propagation dynamics and energy transport. We find both experimentally and numerically that the maximization at a short flight time focuses waves on the particles constituting the scattering medium, leading to the attenuation of the wave transport. On the contrary, maximization at a long flight time induces constructive wave interference inside the medium and thus enhances wave transport. We provide a theoretical model explaining this interesting transition behavior based on wave correlation. Our study provides a fundamental understanding of the effect of wave control on internal wave dynamics. △ Less

Submitted 13 October, 2022; originally announced October 2022.

KATRIN: Status and Prospects for the Neutrino Mass and Beyond

Authors: M. Aker, M. Balzer, D. Batzler, A. Beglarian, J. Behrens, A. Berlev, U. Besserer, M. Biassoni, B. Bieringer, F. Block, S. Bobien, L. Bombelli, D. Bormann, B. Bornschein, L. Bornschein, M. Böttcher, C. Brofferio, C. Bruch, T. Brunst, T. S. Caldwell, M. Carminati, R. M. D. Carney, S. Chilingaryan, W. Choi, O. Cremonesi , et al. (137 additional authors not shown)

Abstract: The Karlsruhe Tritium Neutrino (KATRIN) experiment is designed to measure a high-precision integral spectrum of the endpoint region of T2 beta decay, with the primary goal of probing the absolute mass scale of the neutrino. After a first tritium commissioning campaign in 2018, the experiment has been regularly running since 2019, and in its first two measurement campaigns has already achieved a su… ▽ More The Karlsruhe Tritium Neutrino (KATRIN) experiment is designed to measure a high-precision integral spectrum of the endpoint region of T2 beta decay, with the primary goal of probing the absolute mass scale of the neutrino. After a first tritium commissioning campaign in 2018, the experiment has been regularly running since 2019, and in its first two measurement campaigns has already achieved a sub-eV sensitivity. After 1000 days of data-taking, KATRIN's design sensitivity is 0.2 eV at the 90% confidence level. In this white paper we describe the current status of KATRIN; explore prospects for measuring the neutrino mass and other physics observables, including sterile neutrinos and other beyond-Standard-Model hypotheses; and discuss research-and-development projects that may further improve the KATRIN sensitivity. △ Less

Submitted 16 June, 2023; v1 submitted 15 March, 2022; originally announced March 2022.

Comments: Contribution to Snowmass 2021. 70 pages excluding references; 35 figures. Author list updated June 2023

Journal ref: J. Phys. G: Nucl. Part. Phys. 49 (2022) 100501

Roadmap on Wavefront Shaping and deep imaging in complex media

Authors: Sylvain Gigan, Ori Katz, Hilton B. de Aguiar, Esben Ravn Andresen, Alexandre Aubry, Jacopo Bertolotti, Emmanuel Bossy, Dorian Bouchet, Joshua Brake, Sophie Brasselet, Yaron Bromberg, Hui Cao, Thomas Chaigne, Zhongtao Cheng, Wonshik Choi, Tomáš Čižmár, Meng Cui, Vincent R Curtis, Hugo Defienne, Matthias Hofer, Ryoichi Horisaki, Roarke Horstmeyer, Na Ji, Aaron K. LaViolette, Jerome Mertz , et al. (20 additional authors not shown)

Abstract: The last decade has seen the development of a wide set of tools, such as wavefront shaping, computational or fundamental methods, that allow to understand and control light propagation in a complex medium, such as biological tissues or multimode fibers. A vibrant and diverse community is now working on this field, that has revolutionized the prospect of diffraction-limited imaging at depth in tiss… ▽ More The last decade has seen the development of a wide set of tools, such as wavefront shaping, computational or fundamental methods, that allow to understand and control light propagation in a complex medium, such as biological tissues or multimode fibers. A vibrant and diverse community is now working on this field, that has revolutionized the prospect of diffraction-limited imaging at depth in tissues. This roadmap highlights several key aspects of this fast developing field, and some of the challenges and opportunities ahead. △ Less

Submitted 29 November, 2021; originally announced November 2021.

Comments: submitted to J.Phys Photonics (IOP), 116 pages, 23 sections

Ionic Sieving Through One-Atom-Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing

Authors: Revannath Dnyandeo Nikam, Jongwon Lee, Wooseok Choi, Writam Banerjee, Myonghoon Kwak, Manoj Yadav, Hyunsang Hwang

Abstract: The first report on ion transport through atomic sieves of atomically-thin 2D material is provided to solve critical limitations of electrochemical random-access memory (ECRAM) devices. The first report on ion transport through atomic sieves of atomically-thin 2D material is provided to solve critical limitations of electrochemical random-access memory (ECRAM) devices. △ Less

Submitted 30 September, 2021; originally announced September 2021.

Journal ref: Small 2021, 2103543

High-throughput volumetric adaptive optical imaging using compressed time-reversal matrix

Authors: Hojun Lee, Seokchan Yoon, Pascal Loohuis, Jin Hee Hong, Sungsam Kang, Wonshik Choi

Abstract: Deep-tissue optical imaging suffers from the reduction of resolving power due to tissue-induced optical aberrations and multiple scattering noise. Reflection matrix approaches recording the maps of backscattered waves for all the possible orthogonal input channels have provided formidable solutions for removing severe aberrations and recovering the ideal diffraction-limited spatial resolution with… ▽ More Deep-tissue optical imaging suffers from the reduction of resolving power due to tissue-induced optical aberrations and multiple scattering noise. Reflection matrix approaches recording the maps of backscattered waves for all the possible orthogonal input channels have provided formidable solutions for removing severe aberrations and recovering the ideal diffraction-limited spatial resolution without relying on fluorescence labeling and guide stars. However, measuring the full input-output response of the tissue specimen is time-consuming, making the real-time image acquisition difficult. Here, we present the use of a time-reversal matrix, instead of the reflection matrix, for fast high-resolution volumetric imaging of a mouse brain. The time-reversal matrix reduces two-way problem to one-way problem, which effectively relieves the requirement for the coverage of input channels. Using a newly developed aberration correction algorithm designed for the time-reversal matrix, we demonstrated the correction of complex aberrations using as small as 2 % of the complete basis while maintaining the image reconstruction fidelity comparable to the fully sampled reflection matrix. Due to nearly 100-fold reduction in the matrix recording time, we could achieve real-time aberration-correction imaging for a field of view of 40 x 40 microns (176 x 176 pixels) at a frame rate of 80 Hz. Furthermore, we demonstrated high-throughput volumetric adaptive optical imaging of a mouse brain by recording a volume of 128 x 128 x 125 microns (568 x 568 x 125 voxels) in 3.58 s, correcting tissue aberrations at each and every 1-micron depth section, and visualizing myelinated axons with a lateral resolution of 0.45 microns and an axial resolution of 2 microns. △ Less

Submitted 14 September, 2021; originally announced September 2021.

OARnet: Automated organs-at-risk delineation in Head and Neck CT images

Authors: Mumtaz Hussain Soomro, Hamidreza Nourzadeh, Victor Gabriel Leandro Alves, Wookjin Choi, Jeffrey V. Siebers

Abstract: A 3D deep learning model (OARnet) is developed and used to delineate 28 H&N OARs on CT images. OARnet utilizes a densely connected network to detect the OAR bounding-box, then delineates the OAR within the box. It reuses information from any layer to subsequent layers and uses skip connections to combine information from different dense block levels to progressively improve delineation accuracy. T… ▽ More A 3D deep learning model (OARnet) is developed and used to delineate 28 H&N OARs on CT images. OARnet utilizes a densely connected network to detect the OAR bounding-box, then delineates the OAR within the box. It reuses information from any layer to subsequent layers and uses skip connections to combine information from different dense block levels to progressively improve delineation accuracy. Training uses up to 28 expert manual delineated (MD) OARs from 165 CTs. Dice similarity coefficient (DSC) and the 95th percentile Hausdorff distance (HD95) with respect to MD is assessed for 70 other CTs. Mean, maximum, and root-mean-square dose differences with respect to MD are assessed for 56 of the 70 CTs. OARnet is compared with UaNet, AnatomyNet, and Multi-Atlas Segmentation (MAS). Wilcoxon signed-rank tests using 95% confidence intervals are used to assess significance. Wilcoxon signed ranked tests show that, compared with UaNet, OARnet improves (p<0.05) the DSC (23/28 OARs) and HD95 (17/28). OARnet outperforms both AnatomyNet and MAS for DSC (28/28) and HD95 (27/28). Compared with UaNet, OARnet improves median DSC up to 0.05 and HD95 up to 1.5mm. Compared with AnatomyNet and MAS, OARnet improves median (DSC, HD95) by up to (0.08, 2.7mm) and (0.17, 6.3mm). Dosimetrically, OARnet outperforms UaNet (Dmax 7/28; Dmean 10/28), AnatomyNet (Dmax 21/28; Dmean 24/28), and MAS (Dmax 22/28; Dmean 21/28). The DenseNet architecture is optimized using a hybrid approach that performs OAR-specific bounding box detection followed by feature recognition. Compared with other auto-delineation methods, OARnet is better than or equal to UaNet for all but one geometric (Temporal Lobe L, HD95) and one dosimetric (Eye L, mean dose) endpoint for the 28 H&N OARs, and is better than or equal to both AnatomyNet and MAS for all OARs. △ Less

Submitted 23 November, 2021; v1 submitted 31 August, 2021; originally announced August 2021.

Comments: Paper is withdrawn, need more work on results and methodology

Color of Copper/Copper oxide

Authors: Su Jae Kim, Seonghoon Kim, Jegon Lee, Youngjae Jo, Yu-Seong Seo, Myounghoon Lee, Yousil Lee, Chae Ryong Cho, Jong-pil Kim, Miyeon Cheon, Jungseek Hwang, Yong In Kim, Young-Hoon Kim, Young-Min Kim, Aloysius Soon, Myunghwan Choi, Woo Seok Choi, Se-Young Jeong, Young Hee Lee

Abstract: Stochastic inhomogeneous oxidation is an inherent characteristic of copper (Cu), often hindering color tuning and bandgap engineering of oxides. Coherent control of the interface between metal and metal oxide remains unresolved. We demonstrate coherent propagation of an oxidation front in single-crystal Cu thin film to achieve a full-color spectrum for Cu by precisely controlling its oxide-layer t… ▽ More Stochastic inhomogeneous oxidation is an inherent characteristic of copper (Cu), often hindering color tuning and bandgap engineering of oxides. Coherent control of the interface between metal and metal oxide remains unresolved. We demonstrate coherent propagation of an oxidation front in single-crystal Cu thin film to achieve a full-color spectrum for Cu by precisely controlling its oxide-layer thickness. Grain boundary-free and atomically flat films prepared by atomic-sputtering epitaxy allow tailoring of the oxide layer with an abrupt interface via heat treatment with a suppressed temperature gradient. Color tuning of nearly full-color RGB indices is realized by precise control of oxide-layer thickness; our samples covered ~50.4% of the sRGB color space. The color of copper/copper oxide is realized by the reconstruction of the quantitative yield color from oxide pigment (complex dielectric functions of Cu2O) and light-layer interference (reflectance spectra obtained from the Fresnel equations) to produce structural color. We further demonstrate laser-oxide lithography with micron-scale linewidth and depth through local phase transformation to oxides embedded in the metal, providing spacing necessary for semiconducting transport and optoelectronics functionality. △ Less

Submitted 15 July, 2021; originally announced July 2021.

Comments: 38 pages

Journal ref: Advanced Materials 33 (2021) 2007345

Video-Streaming Biomedical Implants using Ultrasonic Waves for Communication

Authors: Gizem Tabak, Jae Won Choi, Rita J. Miller, Michael L. Oelze, Andrew C. Singer

Abstract: The use of wireless implanted medical devices (IMDs) is growing because they facilitate continuous monitoring of patients during normal activities, simplify medical procedures required for data retrieval and reduce the likelihood of infection associated with trailing wires. However, most of the state-of-the-art IMDs are passive and offline devices. One of the key obstacles to an active and online… ▽ More The use of wireless implanted medical devices (IMDs) is growing because they facilitate continuous monitoring of patients during normal activities, simplify medical procedures required for data retrieval and reduce the likelihood of infection associated with trailing wires. However, most of the state-of-the-art IMDs are passive and offline devices. One of the key obstacles to an active and online IMD is the infeasibility of real-time, high-quality video broadcast from the IMD. Such broadcast would help develop innovative devices such as a video-streaming capsule endoscopy (CE) pill with therapeutic intervention capabilities. State-of-the-art IMDs employ radio-frequency electromagnetic waves for information transmission. However, high attenuation of RF-EM waves in tissues and federal restrictions on the transmit power and operable bandwidth lead to fundamental performance constraints for IMDs employing RF links, and prevent achieving high data rates that could accomodate video broadcast. In this work, ultrasonic waves were used for video transmission and broadcast through biological tissues. The proposed proof-of-concept system was tested on a porcine intestine ex vivo and a rabbit in vivo. It was demonstrated that using a millimeter-sized, implanted biocompatible transducer operating at 1.1-1.2 MHz, it was possible to transmit endoscopic video with high resolution (1280 pixels by 720 pixels) through porcine intestine wrapped with bacon, and to broadcast standard definition (640 pixels by 480 pixels) video near real-time through rabbit abdomen in vivo. A media repository that includes experimental demonstrations and media files accompanies this paper. The accompanying media repository can be found at this link: https://bit.ly/3wuc7tk. △ Less

Submitted 27 June, 2021; v1 submitted 25 June, 2021; originally announced June 2021.

Comments: arXiv admin note: text overlap with arXiv:1909.13172

Precision measurement of the electron energy-loss function in tritium and deuterium gas for the KATRIN experiment

Authors: M. Aker, A. Beglarian, J. Behrens, A. Berlev, U. Besserer, B. Bieringer, F. Block, B. Bornschein, L. Bornschein, M. Böttcher, T. Brunst, T. S. Caldwell, R. M. D. Carney, S. Chilingaryan, W. Choi, K. Debowski, M. Deffert, M. Descher, D. Díaz Barrero, P. J. Doe, O. Dragoun, G. Drexlin, F. Edzards, K. Eitel, E. Ellinger , et al. (110 additional authors not shown)

Abstract: The KATRIN experiment is designed for a direct and model-independent determination of the effective electron anti-neutrino mass via a high-precision measurement of the tritium $β$-decay endpoint region with a sensitivity on $m_ν$ of 0.2$\,$eV/c$^2$ (90% CL). For this purpose, the $β$-electrons from a high-luminosity windowless gaseous tritium source traversing an electrostatic retarding spectromet… ▽ More The KATRIN experiment is designed for a direct and model-independent determination of the effective electron anti-neutrino mass via a high-precision measurement of the tritium $β$-decay endpoint region with a sensitivity on $m_ν$ of 0.2$\,$eV/c$^2$ (90% CL). For this purpose, the $β$-electrons from a high-luminosity windowless gaseous tritium source traversing an electrostatic retarding spectrometer are counted to obtain an integral spectrum around the endpoint energy of 18.6$\,$keV. A dominant systematic effect of the response of the experimental setup is the energy loss of $β$-electrons from elastic and inelastic scattering off tritium molecules within the source. We determined the \linebreak energy-loss function in-situ with a pulsed angular-selective and monoenergetic photoelectron source at various tritium-source densities. The data was recorded in integral and differential modes; the latter was achieved by using a novel time-of-flight technique. We developed a semi-empirical parametrization for the energy-loss function for the scattering of 18.6-keV electrons from hydrogen isotopologs. This model was fit to measurement data with a 95% T$_2$ gas mixture at 30$\,$K, as used in the first KATRIN neutrino mass analyses, as well as a D$_2$ gas mixture of 96% purity used in KATRIN commissioning runs. The achieved precision on the energy-loss function has abated the corresponding uncertainty of $σ(m_ν^2)<10^{-2}\,\mathrm{eV}^2$ [arXiv:2101.05253] in the KATRIN neutrino-mass measurement to a subdominant level. △ Less

Submitted 14 May, 2021; originally announced May 2021.

Comments: 12 figures, 18 pages; to be submitted to EPJ C

The JSNS^2 Detector

Authors: S. Ajimura, M. Botran, J. H. Choi, J. W. Choi, M. K. Cheoun, T. Dodo, H. Furuta, J. Goh, K. Haga, M. Harada, S. Hasegawa, Y. Hino, T. Hiraiwa, H. I. Jang, J. S. Jang, M. C. Jang, H. Jeon, S. Jeon, K. K. Joo, J. R. Jordan, D. E. Jung, S. K. Kang, Y. Kasugai, T. Kawasaki, E. J. Kim , et al. (41 additional authors not shown)

Abstract: The JSNS^2 (J-PARC Sterile Neutrino Search at J-PARC Spallation Neutron Source) experiment aims to search for oscillations involving a sterile neutrino in the eV^2 mass-splitting range. The experiment will search for the appearance of electron antineutrinos oscillated from muon antineutrinos. The electron antineutrinos are detected via the inverse beta decay process using a liquid scintillator det… ▽ More The JSNS^2 (J-PARC Sterile Neutrino Search at J-PARC Spallation Neutron Source) experiment aims to search for oscillations involving a sterile neutrino in the eV^2 mass-splitting range. The experiment will search for the appearance of electron antineutrinos oscillated from muon antineutrinos. The electron antineutrinos are detected via the inverse beta decay process using a liquid scintillator detector. A 1MW beam of 3 GeV protons incident on a spallation neutron target produces an intense and pulsed neutrino source from pion, muon, and kaon decay at rest. The JSNS^2 detector is located 24 m away from the neutrino source and began operation from June 2020. The detector contains 17 tonnes of gadolinium (Gd) loaded liquid scintillator (LS) in an acrylic vessel, as a neutrino target. It is surrounded by 31 tonnes of unloaded LS in a stainless steel tank. Optical photons produced in LS are viewed by 120 R7081 Hamamatsu 10-inch Photomultiplier Tubes (PMTs). In this paper, we describe the JSNS^2 detector design, construction, and operation. △ Less

Submitted 24 August, 2021; v1 submitted 27 April, 2021; originally announced April 2021.

Comments: 41 pages, 29 figures

Human Brain Mapping with Multi-Thousand Channel PtNRGrids Resolves Novel Spatiotemporal Dynamics

Authors: Youngbin Tchoe, Andrew M. Bourhis, Daniel R. Cleary, Brittany Stedelin, Jihwan Lee, Karen J. Tonsfeldt, Erik C. Brown, Dominic Siler, Angelique C. Paulk, Jimmy C. Yang, Hongseok Oh, Yun Goo Ro, Woojin Choi, Keundong Lee, Samantha Russman, Mehran Ganji, Ian Galton, Sharona Ben-Haim, Ahmed M. Raslan, Shadi A. Dayeh

Abstract: Electrophysiological devices are critical for mapping eloquent and diseased brain regions and for therapeutic neuromodulation in clinical settings and are extensively utilized for research in brain-machine interfaces. However, the existing devices are often limited in either spatial resolution or cortical coverage, even including those with thousands of channels used in animal experiments. Here, w… ▽ More Electrophysiological devices are critical for mapping eloquent and diseased brain regions and for therapeutic neuromodulation in clinical settings and are extensively utilized for research in brain-machine interfaces. However, the existing devices are often limited in either spatial resolution or cortical coverage, even including those with thousands of channels used in animal experiments. Here, we developed scalable manufacturing processes and dense connectorization to achieve reconfigurable thin-film, multi-thousand channel neurophysiological recording grids using platinum-nanorods (PtNRGrids). With PtNRGrids, we have achieved a multi-thousand channel array of small (30 μm) contacts with low impedance, providing unparalleled spatial and temporal resolution over a large cortical area. We demonstrate that PtNRGrids can resolve sub-millimeter functional organization of the barrel cortex in anesthetized rats that captured the histochemically-demonstrated structure. In the clinical setting, PtNRGrids resolved fine, complex temporal dynamics from the cortical surface in an awake human patient performing grasping tasks. Additionally, the PtNRGrids identified the spatial spread and dynamics of epileptic discharges in a patient undergoing epilepsy surgery at 1 mm spatial resolution, including activity induced by direct electrical stimulation. Collectively, these findings demonstrate the power of the PtNRGrids to transform clinical mapping and research with brain-machine interfaces and highlights a path toward novel therapeutics. △ Less

Submitted 19 August, 2021; v1 submitted 16 March, 2021; originally announced March 2021.

Comments: Main manuscript: 28 pages, 5 figures, Supporting information: 63 pages, 41 figures

The Design, Construction, and Commissioning of the KATRIN Experiment

Authors: M. Aker, K. Altenmüller, J. F. Amsbaugh, M. Arenz, M. Babutzka, J. Bast, S. Bauer, H. Bechtler, M. Beck, A. Beglarian, J. Behrens, B. Bender, R. Berendes, A. Berlev, U. Besserer, C. Bettin, B. Bieringer, K. Blaum, F. Block, S. Bobien, J. Bohn, K. Bokeloh, H. Bolz, B. Bornschein, L. Bornschein , et al. (204 additional authors not shown)

Abstract: The KArlsruhe TRItium Neutrino (KATRIN) experiment, which aims to make a direct and model-independent determination of the absolute neutrino mass scale, is a complex experiment with many components. More than 15 years ago, we published a technical design report (TDR) [https://publikationen.bibliothek.kit.edu/270060419] to describe the hardware design and requirements to achieve our sensitivity goa… ▽ More The KArlsruhe TRItium Neutrino (KATRIN) experiment, which aims to make a direct and model-independent determination of the absolute neutrino mass scale, is a complex experiment with many components. More than 15 years ago, we published a technical design report (TDR) [https://publikationen.bibliothek.kit.edu/270060419] to describe the hardware design and requirements to achieve our sensitivity goal of 0.2 eV at 90% C.L. on the neutrino mass. Since then there has been considerable progress, culminating in the publication of first neutrino mass results with the entire beamline operating [arXiv:1909.06048]. In this paper, we document the current state of all completed beamline components (as of the first neutrino mass measurement campaign), demonstrate our ability to reliably and stably control them over long times, and present details on their respective commissioning campaigns. △ Less

Submitted 11 June, 2021; v1 submitted 5 March, 2021; originally announced March 2021.

Comments: Added missing acknowledgement, corrected performance statement in chapter 4.2.5, updated author list and references

Analysis methods for the first KATRIN neutrino-mass measurement

Authors: M. Aker, K. Altenmüller, A. Beglarian, J. Behrens, A. Berlev, U. Besserer, B. Bieringer, K. Blaum, F. Block, B. Bornschein, L. Bornschein, M. Böttcher, T. Brunst, T. S. Caldwell, L. La Cascio, S. Chilingaryan, W. Choi, D. Díaz Barrero, K. Debowski, M. Deffert, M. Descher, P. J. Doe, O. Dragoun, G. Drexlin, S. Dyba , et al. (104 additional authors not shown)

Abstract: We report on the data set, data handling, and detailed analysis techniques of the first neutrino-mass measurement by the Karlsruhe Tritium Neutrino (KATRIN) experiment, which probes the absolute neutrino-mass scale via the $β$-decay kinematics of molecular tritium. The source is highly pure, cryogenic T$_2$ gas. The $β$ electrons are guided along magnetic field lines toward a high-resolution, inte… ▽ More We report on the data set, data handling, and detailed analysis techniques of the first neutrino-mass measurement by the Karlsruhe Tritium Neutrino (KATRIN) experiment, which probes the absolute neutrino-mass scale via the $β$-decay kinematics of molecular tritium. The source is highly pure, cryogenic T$_2$ gas. The $β$ electrons are guided along magnetic field lines toward a high-resolution, integrating spectrometer for energy analysis. A silicon detector counts $β$ electrons above the energy threshold of the spectrometer, so that a scan of the thresholds produces a precise measurement of the high-energy spectral tail. After detailed theoretical studies, simulations, and commissioning measurements, extending from the molecular final-state distribution to inelastic scattering in the source to subtleties of the electromagnetic fields, our independent, blind analyses allow us to set an upper limit of 1.1 eV on the neutrino-mass scale at a 90\% confidence level. This first result, based on a few weeks of running at a reduced source intensity and dominated by statistical uncertainty, improves on prior limits by nearly a factor of two. This result establishes an analysis framework for future KATRIN measurements, and provides important input to both particle theory and cosmology. △ Less

Submitted 12 May, 2021; v1 submitted 13 January, 2021; originally announced January 2021.

Comments: 36 pages with 26 figures. Accepted to Phys. Rev. D

Journal ref: Phys. Rev. D 104, 012005 (2021)

Fourier holographic endoscopy for label-free imaging through a narrow and curved passage

Authors: Wonjun Choi, Munkyu Kang, Jin Hee Hong, Ori Katz, Youngwoon Choi, Wonshik Choi

Abstract: Ultrathin lensless fibre endoscopes offer minimally invasive investigation, but they mostly operate as a rigid type due to the need for prior calibration of a fibre probe. Furthermore, most implementations work in fluorescence mode rather than label-free imaging mode, making them unsuitable for medicine and industry. Herein, we report a fully flexible ultrathin fibre endoscope taking 3D holographi… ▽ More Ultrathin lensless fibre endoscopes offer minimally invasive investigation, but they mostly operate as a rigid type due to the need for prior calibration of a fibre probe. Furthermore, most implementations work in fluorescence mode rather than label-free imaging mode, making them unsuitable for medicine and industry. Herein, we report a fully flexible ultrathin fibre endoscope taking 3D holographic images of unstained tissues with 0.87-μm spatial resolution. Using a bare fibre bundle as thin as 200-μm diameter, we design a lensless Fourier holographic imaging configuration to selectively detect weak reflections from biological tissues, a critical step for stain-free reflectance imaging. A unique algorithm is developed for calibration-free holographic image reconstruction, allowing us to image through a narrow and curved passage regardless of fibre bending. We demonstrate endoscopic reflectance imaging of unstained rat intestine tissues that are completely invisible to conventional endoscopes. The proposed endoscope will expedite more accurate and earlier diagnosis than before with minimal complications. △ Less

Submitted 22 October, 2020; originally announced October 2020.

Comments: 13 pages, 4 figures

Super-Heavy Ions Acceleration Driven by Ultrashort Laser Pulses at Ultrahigh Intensity

Authors: Pengjie Wang, Zheng Gong, Seong Geun Lee, Yinren Shou, Yixing Geng, Cheonha Jeon, I Jong Kim, Hwang Woon Lee, Jin Woo Yoon, Jae Hee Sung, Seong Ku Lee, Defeng Kong, Jianbo Liu, Zhusong Mei, Zhengxuan Cao, Zhuo Pan, Il Woo Choi, Xueqing Yan, Chang Hee Nam, Wenjun Ma

Abstract: The acceleration of super-heavy ions (SHIs) from plasmas driven by ultrashort (tens of femtoseconds) laser pulses is a challenging topic waiting for breakthrough. The detecting and controlling of the ionization process, and the adoption of the optimal acceleration scheme are crucial for the generation of highly energetic SHIs. Here, we report the experimental results on the generation of deeply io… ▽ More The acceleration of super-heavy ions (SHIs) from plasmas driven by ultrashort (tens of femtoseconds) laser pulses is a challenging topic waiting for breakthrough. The detecting and controlling of the ionization process, and the adoption of the optimal acceleration scheme are crucial for the generation of highly energetic SHIs. Here, we report the experimental results on the generation of deeply ionized super-heavy ions (Au) with unprecedented energy of 1.2 GeV utilizing ultrashort laser pulses (22 fs) at the intensity of 10^22 W/cm2. A novel self-calibrated diagnostic method was developed to acquire the absolute energy spectra and charge state distributions of Au ions abundant at the charge state of 51+ and reaching up to 61+. The measured charge state distributions supported by 2D particle-in-cell simulations serves as an additional tool to inspect the ionization dynamics associated with SHI acceleration, revealing that the laser intensity is the crucial parameter for the acceleration of Au ions over the pulse duration. The use of double-layer targets results in a prolongation of the acceleration time without sacrificing the strength of acceleration field, which is highly favorable for the generation of high-energy super heavy ions. △ Less

Submitted 15 April, 2021; v1 submitted 21 August, 2020; originally announced August 2020.

Journal ref: Phys. Rev. X 11, 021049 (2021)

Scalable near-infrared graphene plasmonic resonators exhibiting strong non-local and electron quantization effects

Authors: Joel. F. Siegel, Jonathan H. Dwyer, Anjali Suresh, Nathaniel S. Safron, Margaret Fortman, Chenghao Wan, Jonathan W. Choi, Wei Wei, Vivek Saraswat, Wyatt A. Behn, Mikhail A. Kats, Michael S. Arnold, Padma Gopalan, Victor W. Brar

Abstract: Graphene plasmonic resonators have been broadly studied in the terahertz and mid-infrared ranges because of their electrical tunability and large confinement factors which can enable dramatic enhancement of light-matter coupling. In this work, we demonstrate that the characteristic scaling laws of graphene plasmons change for smaller (< 40 nm) plasmonic wavelengths, expanding the operational frequ… ▽ More Graphene plasmonic resonators have been broadly studied in the terahertz and mid-infrared ranges because of their electrical tunability and large confinement factors which can enable dramatic enhancement of light-matter coupling. In this work, we demonstrate that the characteristic scaling laws of graphene plasmons change for smaller (< 40 nm) plasmonic wavelengths, expanding the operational frequencies of graphene plasmonic resonators into the near-infrared (NIR) and modifying their optical confinement properties. We utilize a novel bottom-up block copolymer lithography method that substantially improves upon top-down methods to create resonators as narrow as 12 nm over centimeter-scale areas. Measurements of these structures reveal that their plasmonic resonances are strongly influenced by non-local and quantum effects, which push their resonant frequency into the NIR (2.2 um), almost double the frequency of previous experimental works. The confinement factors of these resonators, meanwhile, reach 137 +/- 25, amongst the largest reported in literature for an optical cavity. While our findings indicate that the enhancement of some 'forbidden' transitions are an order of magnitude weaker than predicted, the combined NIR response and large confinement of these structures make them an attractive platform to explore ultra-strongly enhanced spontaneous emission. △ Less

Submitted 18 May, 2020; originally announced May 2020.

Comments: 4 Figures. Supplement included

Slow control and monitoring system at the JSNS$^{2}$

Authors: J. S. Park, S. Ajimura, M. Botran, J. H. Choi, J. W. Choi, M. K. Cheoun, T. Dodo, H. Furuta, J. Goh, M. Harada, S. Hasegawa, Y. Hino, T. Hiraiwa, H. I. Jang, J. S. Jang, M. C. Jang, H. Jeon, S. Jeon, K. K. Joo, J. R. Jordan, D. E Jung, S. K. Kang, Y. Kasugai, T. Kawasaki, E. J. Kim , et al. (37 additional authors not shown)

Abstract: The JSNS$^2$ experiment is aimed to search for sterile neutrino oscillations using a neutrino beam from muon decays at rest. The JSNS$^2$ detector contains 17 tons of 0.1\% gadolinium (Gd) loaded liquid scintillator (LS) as a neutrino target. Detector construction was completed in the spring of 2020. A slow control and monitoring system (SCMS) was implemented for reliable control and quick monitor… ▽ More The JSNS$^2$ experiment is aimed to search for sterile neutrino oscillations using a neutrino beam from muon decays at rest. The JSNS$^2$ detector contains 17 tons of 0.1\% gadolinium (Gd) loaded liquid scintillator (LS) as a neutrino target. Detector construction was completed in the spring of 2020. A slow control and monitoring system (SCMS) was implemented for reliable control and quick monitoring of the detector operational status and environmental conditions. It issues an alarm if any of the monitored parameters exceed a preset acceptable range. The SCMS monitors the high voltage (HV) of the photomultiplier tubes (PMTs), the LS level in the detector, possible LS overflow and leakage, the temperature and air pressure in the detector, the humidity of the experimental hall, and the LS flow rate during filling and extraction. An initial 10 days of data-taking with a neutrino beam was done following a successful commissioning of the detector and SCMS in June 2020. In this paper, we present a description of the assembly and installation of the SCMS and its performance. △ Less

Submitted 7 April, 2021; v1 submitted 4 May, 2020; originally announced May 2020.

Comments: 12 pages, 11 figures

Pulsed-laser epitaxy of metallic delafossite PdCrO$_2$ films

Authors: Jong Mok Ok, Matthew Brahlek, Woo Seok Choi, Kevin M. Roccapriore, Matthew F. Chisholm, Soyeun Kim, Changhee Sohn, Elizabeth Skoropata, Sangmoon Yoon, Jun Sung Kim, Ho Nyung Lee

Abstract: Alternate stacking of a highly conducting metallic layer with a magnetic triangular layer found in delafossite PdCrO2 provides an excellent platform for discovering intriguing correlated quantum phenomena. Thin film growth of the material may enable not only tuning the basic physical properties beyond what bulk materials can exhibit, but also developing novel hybrid materials by interfacing with d… ▽ More Alternate stacking of a highly conducting metallic layer with a magnetic triangular layer found in delafossite PdCrO2 provides an excellent platform for discovering intriguing correlated quantum phenomena. Thin film growth of the material may enable not only tuning the basic physical properties beyond what bulk materials can exhibit, but also developing novel hybrid materials by interfacing with dissimilar materials, yet this has proven to be extremely challenging. Here, we report the epitaxial growth of metallic delafossite PdCrO2 films by pulsed laser epitaxy (PLE). The fundamental role of the PLE growth conditions, epitaxial strain, and chemical and structural characteristics of the substrate is investigated by growing under various growth conditions and on various types of substrates. While strain plays a large role in improving the crystallinities, the direct growth of epitaxial PdCrO2 films without impurity phases was not successful. We attribute this difficulty to both the chemical and structural dissimilarities between the substrates and volatile nature of PdO layer, which make nucleation of the right phase difficult. This difficulty was overcome by growing CuCrO2 buffer layers before PdCrO2 were grown. Unlike PdCrO2, CuCrO2 films were rather readily grown with a relatively wide growth window. Only monolayer thick buffer layer was sufficient to grow the correct PdCrO2 phase. This result indicates that the epitaxy of Pd-based delafossites is extremely sensitive to the chemistry and structure of the interface, necessitating near perfect substrate materials. The resulting films are commensurately strained and show an antiferromagnetic transition at 40 K that persists down to as thin as 3.6 nm in thickness. △ Less

Submitted 20 February, 2020; v1 submitted 19 February, 2020; originally announced February 2020.

Evidence of itinerant holes for long-range magnetic order in tungsten diselenide semiconductor with vanadium dopants

Authors: Bumsub Song, Seok Joon Yun, Jinbao Jiang, Kory Beach, Wooseon Choi, Young-Min Kim, Humberto Terrones, Young Jae Song, Dinh Loc Duong, Young Hee Lee

Abstract: One primary concern in diluted magnetic semiconductors (DMSs) is how to establish a long-range magnetic order with a low magnetic doping concentration to maintain the gate tunability of the host semiconductor, as well as to increase Curie temperature. Two-dimensional van der Waals semiconductors have been recently investigated to demonstrate the magnetic order in DMSs; however, a comprehensive und… ▽ More One primary concern in diluted magnetic semiconductors (DMSs) is how to establish a long-range magnetic order with a low magnetic doping concentration to maintain the gate tunability of the host semiconductor, as well as to increase Curie temperature. Two-dimensional van der Waals semiconductors have been recently investigated to demonstrate the magnetic order in DMSs; however, a comprehensive understanding of the mechanism responsible for the gate-tunable long-range magnetic order in DMSs has not been achieved yet. Here, we introduce a monolayer tungsten diselenide (WSe2) semiconductor with V dopants to demonstrate the long-range magnetic order through itinerant spin-polarized holes. The V atoms are sparsely located in the host lattice by substituting W atoms, which is confirmed by scanning tunneling microscopy and high-resolution transmission electron microscopy. The V impurity states and the valence band edge states are overlapped, which is congruent with density functional theory calculations. The field-effect transistor characteristics reveal the itinerant holes within the hybridized band; this clearly resembles the Zener model. Our study gives an insight into the mechanism of the long-range magnetic order in V-doped WSe2, which can also be used for other magnetically doped semiconducting transition metal dichalcogenides. △ Less

Submitted 17 February, 2020; originally announced February 2020.

Comments: 19 pages, 4 figures

Journal ref: Phys. Rev. B 103, 094432 (2021)

Suppression of Penning discharges between the KATRIN spectrometers

Authors: M. Aker, K. Altenmüller, A. Beglarian, J. Behrens, A. Berlev, U. Besserer, K. Blaum, F. Block, S. Bobien, B. Bornschein, L. Bornschein, H. Bouquet, T. Brunst, T. S. Caldwell, S. Chilingaryan, W. Choi, K. Debowski, M. Deffert, M. Descher, D. Díaz Barrero, P. J. Doe, O. Dragoun, G. Drexlin, S. Dyba, K. Eitel , et al. (129 additional authors not shown)

Abstract: The KArlsruhe TRItium Neutrino experiment (KATRIN) aims to determine the effective electron (anti)neutrino mass with a sensitivity of $0.2\textrm{ eV/c}^2$ (90$\%$ C.L.) by precisely measuring the endpoint region of the tritium $β$-decay spectrum. It uses a tandem of electrostatic spectrometers working as MAC-E (magnetic adiabatic collimation combined with an electrostatic) filters. In the space b… ▽ More The KArlsruhe TRItium Neutrino experiment (KATRIN) aims to determine the effective electron (anti)neutrino mass with a sensitivity of $0.2\textrm{ eV/c}^2$ (90$\%$ C.L.) by precisely measuring the endpoint region of the tritium $β$-decay spectrum. It uses a tandem of electrostatic spectrometers working as MAC-E (magnetic adiabatic collimation combined with an electrostatic) filters. In the space between the pre-spectrometer and the main spectrometer, an unavoidable Penning trap is created when the superconducting magnet between the two spectrometers, biased at their respective nominal potentials, is energized. The electrons accumulated in this trap can lead to discharges, which create additional background electrons and endanger the spectrometer and detector section downstream. To counteract this problem, "electron catchers" were installed in the beamline inside the magnet bore between the two spectrometers. These catchers can be moved across the magnetic-flux tube and intercept on a sub-ms time scale the stored electrons along their magnetron motion paths. In this paper, we report on the design and the successful commissioning of the electron catchers and present results on their efficiency in reducing the experimental background. △ Less

Submitted 17 September, 2020; v1 submitted 21 November, 2019; originally announced November 2019.

Comments: - 12 pages, 14 figures, LaTeX; typos corrected, references added; precised a few arguments, added additional discussions, results unchanged

Journal ref: Eur. Phys. J. C (2020) 80: 821

Laser scanning reflection-matrix microscopy for label-free in vivo imaging of a mouse brain through an intact skull

Authors: Seokchan Yoon, Hojun Lee, Jin Hee Hong, Yong-Sik Lim, Wonshik Choi

Abstract: We present a laser scanning reflection-matrix microscopy combining the scanning of laser focus and the wide-field mapping of the electric field of the backscattered waves for eliminating higher-order aberrations even in the presence of strong multiple light scattering noise. Unlike conventional confocal laser scanning microscopy, we record the amplitude and phase maps of reflected waves from the s… ▽ More We present a laser scanning reflection-matrix microscopy combining the scanning of laser focus and the wide-field mapping of the electric field of the backscattered waves for eliminating higher-order aberrations even in the presence of strong multiple light scattering noise. Unlike conventional confocal laser scanning microscopy, we record the amplitude and phase maps of reflected waves from the sample not only at the confocal pinhole, but also at other non-confocal points. These additional measurements lead us to constructing a time-resolved reflection matrix, with which the sample-induced aberrations for the illumination and detection pathways are separately identified and corrected. We realized in vivo reflectance imaging of myelinated axons through an intact skull of a living mouse with the spatial resolution close to the ideal diffraction limit. Furthermore, we demonstrated near-diffraction-limited multiphoton imaging through an intact skull by physically correcting the aberrations identified from the reflection matrix. The proposed method is expected to extend the range of applications, where the knowledge of the detailed microscopic information deep within biological tissues is critical. △ Less

Submitted 8 October, 2019; originally announced October 2019.

Comments: 14 pages, 4 figures

First operation of the KATRIN experiment with tritium

Authors: M. Aker, K. Altenmüller, M. Arenz, W. -J. Baek, J. Barrett, A. Beglarian, J. Behrens, A. Berlev, U. Besserer, K. Blaum, F. Block, S. Bobien, B. Bornschein, L. Bornschein, H. Bouquet, T. Brunst, T. S. Caldwell, S. Chilingaryan, W. Choi, K. Debowski, M. Deffert, M. Descher, D. Díaz Barrero, P. J. Doe, O. Dragoun , et al. (146 additional authors not shown)

Abstract: The determination of the neutrino mass is one of the major challenges in astroparticle physics today. Direct neutrino mass experiments, based solely on the kinematics of beta-decay, provide a largely model-independent probe to the neutrino mass scale. The Karlsruhe Tritium Neutrino (KATRIN) experiment is designed to directly measure the effective electron antineutrino mass with a sensitivity of 0.… ▽ More The determination of the neutrino mass is one of the major challenges in astroparticle physics today. Direct neutrino mass experiments, based solely on the kinematics of beta-decay, provide a largely model-independent probe to the neutrino mass scale. The Karlsruhe Tritium Neutrino (KATRIN) experiment is designed to directly measure the effective electron antineutrino mass with a sensitivity of 0.2 eV 90% CL. In this work we report on the first operation of KATRIN with tritium which took place in 2018. During this commissioning phase of the tritium circulation system, excellent agreement of the theoretical prediction with the recorded spectra was found and stable conditions over a time period of 13 days could be established. These results are an essential prerequisite for the subsequent neutrino mass measurements with KATRIN in 2019. △ Less

Submitted 13 September, 2019; originally announced September 2019.