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Boronization-enabled I-mode on EAST tokamak with an expanded density window and favorable-configuration access
Authors:
X. M. Zhong,
X. L. Zou,
A. D. Liu,
L. Q. Xu,
B. Zhang,
C. Zhou,
J. P. Qian,
X. Z. Gong,
Y. T. Song,
G. Zhuang,
W. X. Shi,
L. T. Gao,
S. F. Wang,
Y. H. Guan,
G. Z. Zuo,
T. Q. Jia,
Y. X. Cheng,
S. X. Wang,
K. N. Geng,
H. L. Zhao,
EAST I-mode Working Group,
EAST Team
Abstract:
I-mode is a promising confinement regime for future fusion reactors because it combines enhanced energy confinement with L-mode-like particle transport and naturally ELM-free operation. Previous EAST I-mode studies were performed exclusively under lithium-conditioned wall conditions. Here we report the first systematic experimental investigation of I-mode under boronized wall conditions on EAST an…
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I-mode is a promising confinement regime for future fusion reactors because it combines enhanced energy confinement with L-mode-like particle transport and naturally ELM-free operation. Previous EAST I-mode studies were performed exclusively under lithium-conditioned wall conditions. Here we report the first systematic experimental investigation of I-mode under boronized wall conditions on EAST and compare it with an existing lithium-conditioned I-mode database at the same toroidal field, $B_t = 2.47$\,T. The boronized-wall dataset exhibits a substantially broader accessible density range, with the Greenwald fraction extending from $f_{\mathrm{GW}} = 0.26 - 0.77$ , compared with $f_{\mathrm{GW}} = 0.35 - 0.54$ under lithiation. A higher normalized $\mathrm{D}_α$ emission suggests that enhanced edge recycling may contribute to this density extension. A striking increase in favorable-configuration I-mode is also observed: $51\%$ boronized-wall discharges are obtained in favorable-configuration, compared with only $8\%$ lithium-conditioned discharges. These favorable-configuration cases are concentrated at high density and exhibit a deeper radial electric-field($E_r$) well and stronger $\mathbf{E_r}\times\mathbf{B}$ velocity shear. When ETRO is present, the associated transition between electron and ion turbulence is similar under the two wall conditions, although ETRO occurs less frequently ($15\%$) under boronization. An empirical EAST I-mode energy confinement scaling at fixed $B_t$ is obtained, $τ_E = 3.29 I_p^{0.51 \pm 0.10} P_{\mathrm{loss}}^{-0.53 \pm 0.05} \bar{n}_e^{0.08 \pm 0.07}$, indicating weaker power degradation than IPB98(y,2) H-mode scaling and a weak density dependence. These results show that boronization can broaden the operational space of EAST I-mode and support the development of reactor-relevant ELM-free scenarios.
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Submitted 14 July, 2026;
originally announced July 2026.
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Impact of Residual Angular Chirp in a Petawatt-class Laser System on Laser-driven Proton Acceleration
Authors:
Qingfan Wu,
Minjian Wu,
Jiarui Zhao,
Ying Gao,
Haoran Chen,
Tan Song,
Zhongshuai Zhang,
Zhangyi Wu,
Tianhao Liang,
Shirui Xu,
Ziyang Peng,
Hui Zhang,
Tianqi Xu,
Qihang Han,
Chenghao Hua,
Ke Chen,
Pengcheng Fan,
Yuntian Xie,
Xianduo Li,
Peiqiang Liu,
Xiangyu Nong,
Shengxuan Xu,
Liyong Ma,
Yixing Geng,
Chen Lin
, et al. (3 additional authors not shown)
Abstract:
Laser-driven proton acceleration has attracted considerable interest owing to its appealing potential in versatile applications including cancer therapy. Proton energies depend critically on the on-target intensities, yet the detrimental impact of focal spot degradation induced by spatiotemporal couplings on the acceleration remains insufficiently elucidated. In this study, we demonstrate that res…
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Laser-driven proton acceleration has attracted considerable interest owing to its appealing potential in versatile applications including cancer therapy. Proton energies depend critically on the on-target intensities, yet the detrimental impact of focal spot degradation induced by spatiotemporal couplings on the acceleration remains insufficiently elucidated. In this study, we demonstrate that residual angular chirp (AC), stemming from minor misalignments of the grating compressor in a Petawatt-class laser system, acts as a critical bottleneck for proton acceleration. Experimental results reveal that even around 100 microradians of grating misalignment induces substantial focal-spot elongation and a pronounced reduction in peak intensity. By implementing an in situ spectral-blocking diagnostic, we effectively eliminated the residual AC and restored a near-diffraction-limited focus. This optimization led to a significant recovery of the on-target intensity, resulting in a twofold increase in the proton cutoff energy. Our work presents a successful demonstration of diagnosing and eliminating residual AC. This provides a practical reference for generating high-energy proton beams and supporting their diverse applications in a PW-class laser.
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Submitted 14 July, 2026;
originally announced July 2026.
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TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research
Authors:
Haoluo Zhao,
Hongchun Zhang,
Nan Li,
Jing-Jia Luo,
Kaikai Zhang,
Mengyang Yu,
Nan Chen,
Tao Song,
Fan Meng
Abstract:
As atmospheric environmental prediction continues to improve, interpretable validation of pollution mechanisms and feedback processes has become a main challenge in atmospheric chemistry. Yet mechanism validation based on complex numerical models still relies heavily on expert knowledge: mechanistic hypotheses must be operationalized into executable experiments, and model outputs must be organized…
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As atmospheric environmental prediction continues to improve, interpretable validation of pollution mechanisms and feedback processes has become a main challenge in atmospheric chemistry. Yet mechanism validation based on complex numerical models still relies heavily on expert knowledge: mechanistic hypotheses must be operationalized into executable experiments, and model outputs must be organized into traceable evidence. We present TianJi-Environ, an auditable AI Scientist for atmospheric-chemistry mechanism validation. TianJi-Environ establishes the first WRF-Chem-based multi-agent framework that autonomously drives complex atmospheric-chemistry simulations, converting mechanistic hypotheses into executable configurations, testing experiments, and evidence criteria. Using ozone response and particulate-matter feedback as two representative examples, we demonstrate TianJi-Environ's capability for mechanism validation. In a summertime ozone case over the North China Plain, the system detects directionally consistent aerosol-radiation-interaction signals in shortwave radiation and boundary-layer height, but judges the evidence for ozone response to NOx control to be incomplete. In a wintertime PM2.5 case over the Guanzhong Basin, it localizes the unsupported link to insufficient propagation from black-carbon perturbation to particulate response and missing diagnostics of vertical absorptive heating. These results show that TianJi-Environ makes expert-driven mechanism validation explicit, structured, and auditable, offering a reproducible paradigm for multi-agent systems coupled with complex atmospheric-chemistry models.
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Submitted 5 June, 2026;
originally announced June 2026.
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Volador 1.0: A Data-Driven Air-Sea Full-Coupling Regional Forecast Model with Submesoscale-Permitting Based on MOE-Swin-Transformer Framework
Authors:
Yuhang Zhu,
Jianxin Wang,
Yu-kun Qian,
Yineng Li,
Yahui Liu,
Yankun Gong,
Shilin Tang,
Shiqiu Peng,
Tao Song
Abstract:
A data-driven air-sea full-coupling regional forecast model with submesoscale-permitting, named "Volador 1.0", is developed for the South China Sea (SCS). The model features a Swin-Transformer framework integrated with a Mixture-of-Experts (MoE) system, a latent space interaction architecture based on Cross-Grid Bidirectional Cross-Attention, and a fast-slow dual-branch architecture. Both the thre…
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A data-driven air-sea full-coupling regional forecast model with submesoscale-permitting, named "Volador 1.0", is developed for the South China Sea (SCS). The model features a Swin-Transformer framework integrated with a Mixture-of-Experts (MoE) system, a latent space interaction architecture based on Cross-Grid Bidirectional Cross-Attention, and a fast-slow dual-branch architecture. Both the three-month hindcast test and the 15-day operational real-time forecasting demonstrate that Volador 1.0 has a very encouraging and promising performance in 0-72h forecasting of temperature and salinity in the 0-500m upper ocean as well as the sea surface height with root-mean-square-error (RMSE) or mean absolute error (MAE) smaller than or at least comparable to those from the reanalysis datasets REDOS V2.0 and GLORYS12 and the state-of-the-art regional numerical model Regional Ocean Modeling System (ROMS). In particular, Volador 1.0 demonstrates its capability of capturing/forecasting submesoscale processes including internal waves, with an energy spectrum well representing sub- to mesoscale energy cascade as expected by the classical turbulence theory. Further analysis based on ablation experiments shows that the air-sea full-coupling framework, which takes into account the dynamic exchanges of momentum and heat fluxes between the atmosphere and the ocean, indeed helps improve the model's performance compared to the non-full-coupling one. Volador 1.0, though still subject to refinement in the coming future with a large space for improvement, blazes a path for an accurate, fine and fast marine environment forecasting, and thus could help promote our capability of disaster prevention and mitigation in the SCS as well as in other coastal regions where these innovative techniques can be applied.
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Submitted 20 May, 2026;
originally announced May 2026.
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HotLoop Optimization of Petawatt Laser Focal Spot via a Twin-Focus Scheme
Authors:
Qingfan Wu,
Ying Gao,
Minjian Wu,
Jiarui Zhao,
Shiyou Chen,
Tianhao Liang,
Haoran Chen,
Tan Song,
Zhongshuai Zhang,
Zhangyi Wu,
Shirui Xu,
Ziyang Peng,
Tianqi Xu,
Zhuo Pan,
Yujia Zhang,
Qihang Han,
Ke Chen,
Chenghao Hua,
Pengcheng Fan,
Yuntian Xie,
Yifei Shen,
Shengxuan Xu,
Liyong Ma,
Yixing Geng,
Chen Lin
, et al. (3 additional authors not shown)
Abstract:
Achieving diffraction-limited focusing of high-power laser pulses to generate ultra-high intensities is crucial for developing compact laser-driven particle accelerators and exploring strong-field quantum electrodynamics. However, accurately diagnosing and optimizing the focal spots of petawatt (PW) laser pulses remains a significant challenge. In this work, we present an experimental methodology…
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Achieving diffraction-limited focusing of high-power laser pulses to generate ultra-high intensities is crucial for developing compact laser-driven particle accelerators and exploring strong-field quantum electrodynamics. However, accurately diagnosing and optimizing the focal spots of petawatt (PW) laser pulses remains a significant challenge. In this work, we present an experimental methodology utilizing a twin-focus scheme to precisely characterize the intensity distribution and wavefront of focused PW femtosecond laser pulses, and employ it to elucidate their power-dependent evolution. Furthermore, we optimized the focal spots at full power via our in-situ wavefront correction method termed ``HotLoop', achieving a Strehl ratio of 0.80 for 1 PW laser pulses. Consequently, the cutoff proton energies in laser proton acceleration experiments were significantly enhanced. The success of this approach underscores the necessity of in-situ high-energy wavefront correction for ultra-high intensity laser-matter interactions.
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Submitted 19 May, 2026;
originally announced May 2026.
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A Spatial-Resolved Proton Energy Spectrometer Based on a Scintillation-Fiber Cube
Authors:
Tan Song,
Ying Gao,
Di Wang,
Yujia Zhang,
Jiarui Zhao,
Qingfan Wu,
Zhuo Pan,
Shirui Xu,
Ziyang Peng,
Yulan Liang,
Tianqi Xu,
Zihao Zhang,
Haoran Chen,
Qihang Han,
Xuan Liu,
Ye Yang,
Maocheng Wang,
Siguang Wang,
Yihua Yan,
Zhongming Wang,
Wenjun Ma
Abstract:
Advanced particle acceleration methods have produced high-peak-current ion beams with broad energy spread and complex spatial distribution. There is an urgent need to develop online spatial-resolved energy spectrometers for high-energy pulsed ions. This paper introduces a novel spectrometer based on a scintillation-fiber cube for online diagnosis of proton beams with broadband energy spread and co…
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Advanced particle acceleration methods have produced high-peak-current ion beams with broad energy spread and complex spatial distribution. There is an urgent need to develop online spatial-resolved energy spectrometers for high-energy pulsed ions. This paper introduces a novel spectrometer based on a scintillation-fiber cube for online diagnosis of proton beams with broadband energy spread and complex spatial distribution. We present its working principles, experimental setup, and comprehensive calibration using monoenergetic and spatially uniform proton beams generated by a synchrotron accelerator. Calibration results confirm an energy measurement range of 6-93 MeV, a relative energy uncertainty of 0.6% at 80 MeV, and a pixel size of 0.5 mm for beam profile reconstruction. By exploiting a custom-designed energy degrader, we generated a complex proton beam and measured it with the scintillation-fiber cube spectrometer (SFICS). The results demonstrate the spectrometer's potential for online measurement of the energy spectrum and spatial distribution of complex proton beams.
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Submitted 22 April, 2026;
originally announced April 2026.
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Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment
Authors:
Feng Li,
Yuan Bi,
Tianyu Song,
Zhongliang Jiang,
Nassir Navab
Abstract:
Purpose: Spinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of life. In clinical practice, the gold standard for diagnosis is dynamic X-ray imaging. However, X-ray provides only 2D motion information, while 3D modalities such as computed tomography (CT) or cone beam computed tomography (CBCT) cannot efficiently ca…
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Purpose: Spinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of life. In clinical practice, the gold standard for diagnosis is dynamic X-ray imaging. However, X-ray provides only 2D motion information, while 3D modalities such as computed tomography (CT) or cone beam computed tomography (CBCT) cannot efficiently capture motion. Therefore, there is a need for a system capable of visualizing real-time 3D spinal motion while minimizing radiation exposure.
Methods: We propose ultrasound as an auxiliary modality for 3D spine visualization. Due to acoustic limitations, ultrasound captures only the superficial spinal surface. Therefore, the partially compounded ultrasound volume is registered to preoperative 3D imaging. In this study, CBCT provides the neutral spine configuration, while robotic ultrasound acquisition is performed at maximal spinal bending. A kinematic model is applied to the CBCT-derived spine model for coarse registration, followed by ICP for fine registration, with kinematic parameters optimized based on the registration results. Real-time ultrasound motion tracking is then used to estimate continuous 3D spinal motion by interpolating between the neutral and maximally bent states.
Results: The pipeline was evaluated on a bendable 3D-printed lumbar spine phantom. The registration error was $1.941 \pm 0.199$ mm and the interpolated spinal motion error was $2.01 \pm 0.309$ mm (median).
Conclusion: The proposed robotic ultrasound framework enables radiation-reduced, real-time 3D visualization of spinal motion, offering a promising 3D alternative to conventional dynamic X-ray imaging for assessing spinal instability.
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Submitted 13 February, 2026;
originally announced February 2026.
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Unity based virtual reality for detector and event visualization in JUNO experiment
Authors:
Kai-Xuan Huang,
Tian-Zi Song,
Yu-Ning Su,
Cheng-Xin Wu,
Xue-Sen Wang,
Yu-Mei Zhang,
Zheng-Yun You
Abstract:
Detector and event visualization are crucial components of high-energy physics~(HEP) experimental software. Virtual Reality~(VR) technologies and multimedia development platforms such as Unity offer enhanced display effects and flexible extensibility for visualization in HEP experiments. In this study, we present a VR-based method for detector and event displays in the Jiangmen Underground Neutrin…
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Detector and event visualization are crucial components of high-energy physics~(HEP) experimental software. Virtual Reality~(VR) technologies and multimedia development platforms such as Unity offer enhanced display effects and flexible extensibility for visualization in HEP experiments. In this study, we present a VR-based method for detector and event displays in the Jiangmen Underground Neutrino Observatory~(JUNO) experiment. This method shares the same detector geometry descriptions and event data model as those in offline software and provides necessary data conversion interfaces. The VR methodology facilitates an immersive exploration of the virtual environment in JUNO, enabling users to investigate detector geometry, visualize event data, and tune the detector simulation and event reconstruction algorithms. Additionally, this approach supports applications in data monitoring, physics data analysis, and public outreach initiatives.
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Submitted 19 September, 2025;
originally announced September 2025.
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Detector description conversion and visualization in Unity for high energy physics experiments
Authors:
Tian-Zi Song,
Kai-Xuan Huang,
Yu-Jie Zeng,
Ming-Hua Liao,
Xue-Sen Wang,
Yu-Mei Zhang,
Zheng-Yun You
Abstract:
While visualization plays a crucial role in high-energy physics (HEP) experiments, the existing detector description formats including Geant4, ROOT, GDML, and DD4hep face compatibility limitations with modern visualization platforms. This paper presents a universal interface that automatically converts these four kinds of detector descriptions into FBX, an industry standard 3D model format which c…
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While visualization plays a crucial role in high-energy physics (HEP) experiments, the existing detector description formats including Geant4, ROOT, GDML, and DD4hep face compatibility limitations with modern visualization platforms. This paper presents a universal interface that automatically converts these four kinds of detector descriptions into FBX, an industry standard 3D model format which can be seamlessly integrated into advanced visualization platforms like Unity. This method bridges the gap between HEP instrumental display frameworks and industrial-grade visualization ecosystems, enabling HEP experiments to harness rapid technological advancements. Furthermore, it lays the groundwork for the future development of additional HEP visualization applications, such as event display, virtual reality, and augmented reality.
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Submitted 14 July, 2025;
originally announced July 2025.
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OAH-Net: A Deep Neural Network for Hologram Reconstruction of Off-axis Digital Holographic Microscope
Authors:
Wei Liu,
Kerem Delikoyun,
Qianyu Chen,
Alperen Yildiz,
Si Ko Myo,
Win Sen Kuan,
John Tshon Yit Soong,
Matthew Edward Cove,
Oliver Hayden,
Hweekuan Lee
Abstract:
Off-axis digital holographic microscopy is a high-throughput, label-free imaging technology that provides three-dimensional, high-resolution information about samples, particularly useful in large-scale cellular imaging. However, the hologram reconstruction process poses a significant bottleneck for timely data analysis. To address this challenge, we propose a novel reconstruction approach that in…
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Off-axis digital holographic microscopy is a high-throughput, label-free imaging technology that provides three-dimensional, high-resolution information about samples, particularly useful in large-scale cellular imaging. However, the hologram reconstruction process poses a significant bottleneck for timely data analysis. To address this challenge, we propose a novel reconstruction approach that integrates deep learning with the physical principles of off-axis holography. We initialized part of the network weights based on the physical principle and then fine-tuned them via weakly supersized learning. Our off-axis hologram network (OAH-Net) retrieves phase and amplitude images with errors that fall within the measurement error range attributable to hardware, and its reconstruction speed significantly surpasses the microscope's acquisition rate. Crucially, OAH-Net demonstrates remarkable external generalization capabilities on unseen samples with distinct patterns and can be seamlessly integrated with other models for downstream tasks to achieve end-to-end real-time hologram analysis. This capability further expands off-axis holography's applications in both biological and medical studies.
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Submitted 17 October, 2024;
originally announced October 2024.
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Laboratorial radiative shocks with multiple parameters and first quantifying verifications to core-collapse supernovae
Authors:
Lu Zhang,
Jianhua Zheng,
Zhenghua Yang,
Tianming Song,
Shuai Zhang,
Tong Liu,
Yunfeng Wei,
Longyu Kuang,
Longfei Jing,
Zhiwei Lin,
Liling Li,
Hang Li,
Jinhua Zheng,
Pin Yang,
Yuxue Zhang,
Zhiyu Zhang,
Yang Zhao,
Zhibing He,
Ping Li,
Dong Yang,
Jiamin Yang,
Zongqing Zhao,
Yongkun Ding
Abstract:
We present experiments to reproduce the characteristics of core-collapse supernovae with different stellar masses and initial explosion energies in the laboratory. In the experiments, shocks are driven in 1.2 atm and 1.9 atm xenon gas by laser with energy from 1600J to 2800J on the SGIII prototype laser facility. The average shock velocities and shocked densities are obtained from experiments. Exp…
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We present experiments to reproduce the characteristics of core-collapse supernovae with different stellar masses and initial explosion energies in the laboratory. In the experiments, shocks are driven in 1.2 atm and 1.9 atm xenon gas by laser with energy from 1600J to 2800J on the SGIII prototype laser facility. The average shock velocities and shocked densities are obtained from experiments. Experimental results reveal that higher laser energy and lower Xe gas density led to higher shock velocity, and lower Xe gas initial density has a higher compression. Modeling of the experiments using the 2D radiation hydrodynamic codes Icefire shows excellent agreement with the experimental results and gives the temperature. These results will contribute to time-domain astrophysical systems, such as gravitational supernovae, where a strong radiative shock propagates outward from the center of the star after the core collapses.
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Submitted 23 September, 2024;
originally announced September 2024.
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Acoustic higher-order topological insulator from momentum-space nonsymmorphic symmetries
Authors:
Jinbing Hu,
Kai Zhou,
Tianle Song,
Xuntao Jiang,
Songlin Zhuang,
Yi Yang
Abstract:
Momentum-space nonsymmorphic symmetries, stemming from the projective algebra of synthetic gauge fields, can modify the manifold of the Brillouin zone and lead to a variety of topological phenomena. We present an acoustic realization of higher-order topological insulators (HOTIs) protected by a pair of anticommutative momentum-space glide reflections. We confirm the presence of momentum-space glid…
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Momentum-space nonsymmorphic symmetries, stemming from the projective algebra of synthetic gauge fields, can modify the manifold of the Brillouin zone and lead to a variety of topological phenomena. We present an acoustic realization of higher-order topological insulators (HOTIs) protected by a pair of anticommutative momentum-space glide reflections. We confirm the presence of momentum-space glide reflection from the measured momentum half translation of edge bands and their momentum-resolved probability distribution using a cylinder geometry made of acoustic resonator arrays. In particular, we observe both intrinsic and extrinsic HOTI features in such a cylinder: hopping strength variation along the open boundary leads to a bulk gap closure, while that along the closed boundary results in an edge gap closure. In addition, we confirm the presence of quadrupole corner modes with transmission and field distribution measurements. Our observation enriches the study of topological physics of momentum-space nonsymmorphic symmetries.
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Submitted 12 September, 2024;
originally announced September 2024.
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Kinetic control of ferroelectricity in ultrathin epitaxial Barium Titanate capacitors
Authors:
Harish Kumarasubramanian,
Prasanna Venkat Ravindran,
Ting-Ran Liu,
Taeyoung Song,
Mythili Surendran,
Huandong Chen,
Pratyush Buragohain,
I-Cheng Tung,
Arnab Sen Gupta,
Rachel Steinhardt,
Ian A. Young,
Yu-Tsun Shao,
Asif Islam Khan,
Jayakanth Ravichandran
Abstract:
Ferroelectricity is characterized by the presence of spontaneous and switchable macroscopic polarization. Scaling limits of ferroelectricity have been of both fundamental and technological importance, but the probes of ferroelectricity have often been indirect due to confounding factors such as leakage in the direct electrical measurements. Recent interest in low-voltage switching electronic devic…
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Ferroelectricity is characterized by the presence of spontaneous and switchable macroscopic polarization. Scaling limits of ferroelectricity have been of both fundamental and technological importance, but the probes of ferroelectricity have often been indirect due to confounding factors such as leakage in the direct electrical measurements. Recent interest in low-voltage switching electronic devices squarely puts the focus on ultrathin limits of ferroelectricity in an electronic device form, specifically on the robustness of ferroelectric characteristics such as retention and endurance for practical applications. Here, we illustrate how manipulating the kinetic energy of the plasma plume during pulsed laser deposition can yield ultrathin ferroelectric capacitor heterostructures with high bulk and interface quality, significantly low leakage currents and a broad "growth window". These heterostructures venture into previously unexplored aspects of ferroelectric properties, showcasing ultralow switching voltages ($<$0.3 V), long retention times ($>$10$^{4}$s), and high endurance ($>$10$^{11}$cycles) in 20 nm films of the prototypical perovskite ferroelectric, BaTiO$_{3}$. Our work demonstrates that materials engineering can push the envelope of performance for ferroelectric materials and devices at the ultrathin limit and opens a direct, reliable and scalable pathway to practical applications of ferroelectrics in ultralow voltage switches for logic and memory technologies.
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Submitted 18 July, 2024;
originally announced July 2024.
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Study of the decay and production properties of $D_{s1}(2536)$ and $D_{s2}^*(2573)$
Authors:
M. Ablikim,
M. N. Achasov,
P. Adlarson,
O. Afedulidis,
X. C. Ai,
R. Aliberti,
A. Amoroso,
Q. An,
Y. Bai,
O. Bakina,
I. Balossino,
Y. Ban,
H. -R. Bao,
V. Batozskaya,
K. Begzsuren,
N. Berger,
M. Berlowski,
M. Bertani,
D. Bettoni,
F. Bianchi,
E. Bianco,
A. Bortone,
I. Boyko,
R. A. Briere,
A. Brueggemann
, et al. (645 additional authors not shown)
Abstract:
The $e^+e^-\rightarrow D_s^+D_{s1}(2536)^-$ and $e^+e^-\rightarrow D_s^+D^*_{s2}(2573)^-$ processes are studied using data samples collected with the BESIII detector at center-of-mass energies from 4.530 to 4.946~GeV. The absolute branching fractions of $D_{s1}(2536)^- \rightarrow \bar{D}^{*0}K^-$ and $D_{s2}^*(2573)^- \rightarrow \bar{D}^0K^-$ are measured for the first time to be…
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The $e^+e^-\rightarrow D_s^+D_{s1}(2536)^-$ and $e^+e^-\rightarrow D_s^+D^*_{s2}(2573)^-$ processes are studied using data samples collected with the BESIII detector at center-of-mass energies from 4.530 to 4.946~GeV. The absolute branching fractions of $D_{s1}(2536)^- \rightarrow \bar{D}^{*0}K^-$ and $D_{s2}^*(2573)^- \rightarrow \bar{D}^0K^-$ are measured for the first time to be $(35.9\pm 4.8\pm 3.5)\%$ and $(37.4\pm 3.1\pm 4.6)\%$, respectively. The measurements are in tension with predictions based on the assumption that the $D_{s1}(2536)$ and $D_{s2}^*(2573)$ are dominated by a bare $c\bar{s}$ component. The $e^+e^-\rightarrow D_s^+D_{s1}(2536)^-$ and $e^+e^-\rightarrow D_s^+D^*_{s2}(2573)^-$ cross sections are measured, and a resonant structure at around 4.6~GeV with a width of 50~MeV is observed for the first time with a statistical significance of $15σ$ in the $e^+e^-\rightarrow D_s^+D^*_{s2}(2573)^-$ process. It could be the $Y(4626)$ found by the Belle collaboration in the $D_s^+D_{s1}(2536)^{-}$ final state, since they have similar masses and widths. There is also evidence for a structure at around 4.75~GeV in both processes.
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Submitted 10 July, 2024;
originally announced July 2024.
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Method for detector description conversion from DD4hep to Filmbox
Authors:
Zhaoyang Yuan,
Tianzi Song,
Yujie Zeng,
Kaixuan Huang,
Yumei Zhang,
Zhengyun You
Abstract:
DD4hep serves as a generic detector description toolkit recommended for offline software development in next-generation high-energy physics~(HEP) experiments. Conversely, Filmbox~(FBX) stands out as a widely used 3D modeling file format within the 3D software industry. In this paper, we introduce a novel method that can automatically convert complex HEP detector geometries from DD4hep description…
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DD4hep serves as a generic detector description toolkit recommended for offline software development in next-generation high-energy physics~(HEP) experiments. Conversely, Filmbox~(FBX) stands out as a widely used 3D modeling file format within the 3D software industry. In this paper, we introduce a novel method that can automatically convert complex HEP detector geometries from DD4hep description into 3D models in the FBX format. The feasibility of this method was demonstrated by its application to the DD4hep description of the Compact Linear Collider detector and several sub-detectors of the super Tau-Charm facility and circular electron-positron collider experiments. The automatic DD4hep--FBX detector conversion interface provides convenience for further development of applications, such as detector design, simulation, visualization, data monitoring, and outreach, in HEP experiments.
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Submitted 18 June, 2024;
originally announced June 2024.
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I-mode Plasma Confinement Improvement by Real-time Lithium Injection and its Classification on EAST Tokamak
Authors:
X. M. Zhong,
X. L. Zou,
A. D. Liu,
Y. T. Song,
G. Zhuang,
H. Q. Liu,
L. Q. Xu,
E. Z. Li,
B. Zhang,
G. Z. Zuo,
Z. Wang,
C. Zhou,
J. Zhang,
W. X. Shi,
L. T. Gao,
S. F. Wang,
W. Gao,
T. Q. Jia,
Q. Zang,
H. L. Zhao,
M. Wang,
H. D. Xu,
X. J. Wang,
X. Gao,
X. D. Lin
, et al. (3 additional authors not shown)
Abstract:
I-mode is a promising regime for future fusion reactors due to the high energy confinement and the moderate particle confinement. However, the effect of lithium, which has been widely applied for particle recycling and impurity control, on I-mode plasma is still unclear. Recently, experiments of real-time lithium powder injection on I-mode plasma have been carried out in EAST Tokamak. It was found…
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I-mode is a promising regime for future fusion reactors due to the high energy confinement and the moderate particle confinement. However, the effect of lithium, which has been widely applied for particle recycling and impurity control, on I-mode plasma is still unclear. Recently, experiments of real-time lithium powder injection on I-mode plasma have been carried out in EAST Tokamak. It was found that the confinement performance of the I-mode can be improved by the lithium powder injection, which can strongly reduce electron turbulence (ET) and then trigger ion turbulence (IT). Four different regimes of I-mode have been identified in EAST. The Type I I-mode plasma is characterized by the weakly coherent mode (WCM) and the geodesic-acoustic mode (GAM). The Type II I-mode is featured as the WCM and the edge temperature ring oscillation (ETRO). The Type III I-mode corresponds to the plasma with the co-existence of ETRO, GAM, and WCM. The Type IV I-mode denotes the plasma with only WCM but without ETRO and GAM. It has been observed that WCM and ETRO are increased with lithium powder injection due to the reduction of ion and electron turbulence, and the enhancement of the pedestal electron temperature gradient. EAST experiments demonstrate that lithium powder injection is an effective tool for real-time control and confinement improvement of I-mode plasma.
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Submitted 10 April, 2024;
originally announced April 2024.
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Electron acceleration and X-ray generation from near-critical-density carbon nanotube foams driven by moderately relativistic lasers
Authors:
Zhuo Pan,
Jianbo Liu,
Pengjie Wang,
Zhusong Mei,
Zhengxuan Cao,
Defeng Kong,
Shirui Xu,
Zhipeng Liu,
Yulan Liang,
Ziyang Peng,
Tianqi Xu,
Tan Song,
Xun Chen,
Qingfan Wu,
Yujia Zhang,
Qihang Han,
Haoran Chen,
Jiarui Zhao,
Ying Gao,
Shiyou Chen,
Yanying Zhao,
Xueqing Yan,
Yinren Shou,
Wenjun Ma
Abstract:
Direct laser acceleration of electrons in near-critical-density (NCD) carbon nanotube foams (CNFs) has its advantages in the high-efficiency generation of relativistic electrons and broadband X-rays. Here, we report the first simultaneous measurement on the spectra of laser-driven electrons and X-rays from CNFs at moderately relativistic intensities of around 5\times{10}^{19}\ W/cm^2.\ The density…
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Direct laser acceleration of electrons in near-critical-density (NCD) carbon nanotube foams (CNFs) has its advantages in the high-efficiency generation of relativistic electrons and broadband X-rays. Here, we report the first simultaneous measurement on the spectra of laser-driven electrons and X-rays from CNFs at moderately relativistic intensities of around 5\times{10}^{19}\ W/cm^2.\ The density and thickness of the CNFs were scanned in the experiments, indicating the optimized electrons temperature of 5.5 MeV and X-ray critical energy of 5 keV. Two-dimensional (2D) particle-in-cell (PIC) simulations confirm that the electrons, with a temperature significantly higher than the pondermotive scale, are directly accelerated by the laser along the NCD plasma channel, while the bright X-rays are emitted by these electrons through betatron radiation or Thomson backscattering inside the channel. The simultaneously generated electrons and X-rays, automatically synchronized with the femtosecond laser driver, are suitable for applications such as bi-modal radiography.
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Submitted 10 April, 2024;
originally announced April 2024.
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Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report
Authors:
Evi M. C. Huijben,
Maarten L. Terpstra,
Arthur Jr. Galapon,
Suraj Pai,
Adrian Thummerer,
Peter Koopmans,
Manya Afonso,
Maureen van Eijnatten,
Oliver Gurney-Champion,
Zeli Chen,
Yiwen Zhang,
Kaiyi Zheng,
Chuanpu Li,
Haowen Pang,
Chuyang Ye,
Runqi Wang,
Tao Song,
Fuxin Fan,
Jingna Qiu,
Yixing Huang,
Juhyung Ha,
Jong Sung Park,
Alexandra Alain-Beaudoin,
Silvain Bériault,
Pengxin Yu
, et al. (34 additional authors not shown)
Abstract:
Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment planning, offering electron density data crucial for accurate dose calculations. However, accurately representing patient anatomy is challenging, especially in adaptive radiotherapy, wh…
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Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment planning, offering electron density data crucial for accurate dose calculations. However, accurately representing patient anatomy is challenging, especially in adaptive radiotherapy, where CT is not acquired daily. Magnetic resonance imaging (MRI) provides superior soft-tissue contrast. Still, it lacks electron density information while cone beam CT (CBCT) lacks direct electron density calibration and is mainly used for patient positioning. Adopting MRI-only or CBCT-based adaptive radiotherapy eliminates the need for CT planning but presents challenges. Synthetic CT (sCT) generation techniques aim to address these challenges by using image synthesis to bridge the gap between MRI, CBCT, and CT. The SynthRAD2023 challenge was organized to compare synthetic CT generation methods using multi-center ground truth data from 1080 patients, divided into two tasks: 1) MRI-to-CT and 2) CBCT-to-CT. The evaluation included image similarity and dose-based metrics from proton and photon plans. The challenge attracted significant participation, with 617 registrations and 22/17 valid submissions for tasks 1/2. Top-performing teams achieved high structural similarity indices (>0.87/0.90) and gamma pass rates for photon (>98.1%/99.0%) and proton (>97.3%/97.0%) plans. However, no significant correlation was found between image similarity metrics and dose accuracy, emphasizing the need for dose evaluation when assessing the clinical applicability of sCT. SynthRAD2023 facilitated the investigation and benchmarking of sCT generation techniques, providing insights for developing MRI-only and CBCT-based adaptive radiotherapy.
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Submitted 11 June, 2024; v1 submitted 13 March, 2024;
originally announced March 2024.
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Deep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets
Authors:
Woo Seok Lee,
Taegeun Song,
Kyoung-Min Kim
Abstract:
The application of twist engineering in van der Waals magnets has opened new frontiers in the field of two-dimensional magnetism, yielding distinctive magnetic domain structures. Despite the introduction of numerous theoretical methods, limitations persist in terms of accuracy or efficiency due to the complex nature of the magnetic Hamiltonians pertinent to these systems. In this study, we introdu…
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The application of twist engineering in van der Waals magnets has opened new frontiers in the field of two-dimensional magnetism, yielding distinctive magnetic domain structures. Despite the introduction of numerous theoretical methods, limitations persist in terms of accuracy or efficiency due to the complex nature of the magnetic Hamiltonians pertinent to these systems. In this study, we introduce a deep-learning approach to tackle these challenges. Utilizing customized, fully connected networks, we develop two deep-neural-network kernels that facilitate efficient and reliable analysis of twisted van der Waals magnets. Our regression model is adept at estimating the magnetic Hamiltonian parameters of twisted bilayer CrI3 from its magnetic domain images generated through atomistic spin simulations. The generative model excels in producing precise magnetic domain images from the provided magnetic parameters. The trained networks for these models undergo thorough validation, including statistical error analysis and assessment of robustness against noisy injections. These advancements not only extend the applicability of deep-learning methods to twisted van der Waals magnets but also streamline future investigations into these captivating yet poorly understood systems.
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Submitted 1 June, 2024; v1 submitted 17 February, 2024;
originally announced February 2024.
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Disassociation of a one-dimensional cold molecule via quantum scattering
Authors:
Wen-Liang Li,
Hai-Jing Song,
Tie-Ling Song,
D. L. Zhou
Abstract:
Motivated by the recent experimental developments on ultracold molecules and atoms, we propose a simplest theoretical model to address the disassociation, reflection and transmission probability of a 1-dimensional cold molecule via quantum scattering. First, we give the Born approximation results in the weak interaction regime. Then, employing the Lippmann-Schwinger equation, we give the numerical…
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Motivated by the recent experimental developments on ultracold molecules and atoms, we propose a simplest theoretical model to address the disassociation, reflection and transmission probability of a 1-dimensional cold molecule via quantum scattering. First, we give the Born approximation results in the weak interaction regime. Then, employing the Lippmann-Schwinger equation, we give the numerical solution and investigate the disassociation's dependence on the injection momentum and the interaction strengths. We find that the maximum disassociation rate has a limit as increasing the interaction strengths and injection momentum. We expect that our model can be realized in experiments in the near future.
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Submitted 12 July, 2023;
originally announced July 2023.
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Characteristics of the edge temperature ring oscillation during stationary improved confnement mode in EAST
Authors:
A. D. Liu,
X. L. Zou,
X. M. Zhong,
Y. T. Song,
M. K. Han,
Y. M. Duan,
H. Q. Liu,
T. B. Wang,
E. Z. Li,
L. Zhang,
X. Feng,
G. Zhuang,
EAST I-mode working group
Abstract:
I-mode is a natural ELMy-free regime with H-mode like improved energy confnement and L-mode like particle confnement, making it an attractive scenario for future tokamak based fusion reactors. A kind of low frequency oscillation was widely found and appeared to be unique in I-mode, with the frequency between stationary zonal flow and geodesic-acoustic mode (GAM) zonal flow. In EAST, 90 percent I-m…
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I-mode is a natural ELMy-free regime with H-mode like improved energy confnement and L-mode like particle confnement, making it an attractive scenario for future tokamak based fusion reactors. A kind of low frequency oscillation was widely found and appeared to be unique in I-mode, with the frequency between stationary zonal flow and geodesic-acoustic mode (GAM) zonal flow. In EAST, 90 percent I-mode shots have such mode, called edge temperature ring oscillation (ETRO). The mode probably plays an important role during I-mode development and sustainment, while investigations are needed to clarify the differences between ETRO and the similar mode named as low frequency edge oscillation (LFEO) in AUG and C-Mod, especially whether it is still GAM. In the paper, the ETRO characteristics in EAST were investigated in detail and most do not agree with GAM, including that 1) during L-I transition with edge Te and Ti both increasing, ETRO has a smaller frequency than GAM; 2) ETRO has distinct harmonics in various diagnostics; 3) The magnetic component of ETRO is dominated by m = 1 structure; 4) ETRO is accompanied by turbulence transition between electron-scale and ion-scale; 5) As I-mode approaching to H-mode, ETRO frequency would decrease rapidly with Te increasing. These features imply that ETRO is probably caused by the stationary zonal flow with fnite frequency. Moreover, other damping mechanisms need to be involved besides collision in the Imode edge region. It was found that modest fueling could decrease the ETRO intensity with the I-mode confnement sustaining, suggesting that supersonic molecular beam injection (SMBI) could be used as an effective tool to control ETRO.
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Submitted 14 June, 2023;
originally announced June 2023.
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Numerically stable neural network for simulating Kardar-Parisi-Zhang growth in the presence of uncorrelated and correlated noises
Authors:
Tianshu Song,
Hui Xia
Abstract:
Numerical simulations are essential tools for exploring the dynamic scaling properties of the nonlinear Kadar-Parisi-Zhang (KPZ) equation. Yet the inherent nonlinearity frequently causes numerical divergence within the strong-coupling regime using conventional simulation methods. To sustain the numerical stability, previous works either utilized discrete growth models belonging to the KPZ universa…
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Numerical simulations are essential tools for exploring the dynamic scaling properties of the nonlinear Kadar-Parisi-Zhang (KPZ) equation. Yet the inherent nonlinearity frequently causes numerical divergence within the strong-coupling regime using conventional simulation methods. To sustain the numerical stability, previous works either utilized discrete growth models belonging to the KPZ universality class or modified the original nonlinear term by the designed specified operators. However, recent studies revealed that these strategies could cause abnormal results. Motivated by the above-mentioned facts, we propose a convolutional neural network-based method to simulate the KPZ equation driven by uncorrelated and correlated noises, aiming to overcome the challenge of numerical divergence, and obtaining reliable scaling exponents. We first train the neural network to represent the determinant terms of the KPZ equation in a data-driven manner. Then, we perform simulations for the KPZ equation with various types of temporally and spatially correlated noises. The experimental results demonstrate that our neural network could effectively estimate the scaling exponents eliminating numerical divergence.
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Submitted 21 December, 2023; v1 submitted 12 June, 2023;
originally announced June 2023.
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Vibration and jitter of free-flowing thin liquid sheets as target for high-repetition-rate laser-ion acceleration
Authors:
Zhengxuan Cao,
Ziyang Peng,
Yinren Shou,
Jiarui Zhao,
Shiyou Chen,
Ying Gao,
Jianbo Liu,
Pengjie Wang,
Zhusong Mei,
Zhuo Pan,
Defeng Kong,
Guijun Qi,
Shirui Xu,
Zhipeng Liu,
Yulan Liang,
Shengxuan Xu,
Tan Song,
Xun Chen,
Qingfan Wu,
Xuan Liu,
Wenjun Ma
Abstract:
Very thin free-flowing liquid sheets are promising targets for high-repetition-rate laser-ion acceleration. In this work, we report the generation of micrometer-thin free-flowing liquid sheets from the collision of two liquid jets, and study the vibration and jitter in their surface normal direction. The dependence of their motion amplitudes on the generation parameters is studied in detail. The o…
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Very thin free-flowing liquid sheets are promising targets for high-repetition-rate laser-ion acceleration. In this work, we report the generation of micrometer-thin free-flowing liquid sheets from the collision of two liquid jets, and study the vibration and jitter in their surface normal direction. The dependence of their motion amplitudes on the generation parameters is studied in detail. The origins of the vibration and jitter are discussed. Our results indicate that when the generation parameters are optimized, the motion amplitudes in the stable region can be stabilized below 3.7 μm to meet the stringent requirement of sheet position stability for a tight-focusing setup in laser-ion acceleration experiments.
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Submitted 27 February, 2023;
originally announced February 2023.
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Synchronous post-acceleration of laser-driven protons in helical coil targets by controlling the current dispersion
Authors:
Zhipeng Liu,
Zhusong Mei,
Defeng Kong,
Zhuo Pan,
Shirui Xu,
Ying Gao,
Yinren Shou,
Pengjie Wang,
Zhengxuan Cao,
Yulan Liang,
Ziyang Peng,
Jiarui Zhao,
Shiyou Chen,
Tan Song,
Xun Chen,
Tianqi Xu,
Xueqing Yan,
Wenjun Ma
Abstract:
Post-acceleration of protons in helical coil targets driven by intense, ultrashort laser pulses can enhance the ion energy by utilizing the transient current originating from the self-discharging of the targets. The acceleration length of the protons can exceed a few millimeters, and the accelerating gradient is in the order of GeV/m. How to ensure the synchronization of the accelerating electric…
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Post-acceleration of protons in helical coil targets driven by intense, ultrashort laser pulses can enhance the ion energy by utilizing the transient current originating from the self-discharging of the targets. The acceleration length of the protons can exceed a few millimeters, and the accelerating gradient is in the order of GeV/m. How to ensure the synchronization of the accelerating electric field with the protons is a crucial problem for an efficient post-acceleration. In this paper, we study how the electric field mismatch induced by the current dispersion affects the synchronous acceleration of the protons. We propose a scheme using a two-stage helical coil to control the current dispersion. With optimized parameters, the energy gain of protons is enhanced by 4 times. And it is expected that the proton energy would reach 45 MeV using a hundreds-terawatt laser, or over 100 MeV using a petawatt laser, by controlling the current dispersion.
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Submitted 8 December, 2022;
originally announced December 2022.
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Triple-junction solar cells with 39.5% terrestrial and 34.2% space efficiency enabled by thick quantum well superlattices
Authors:
Ryan M. France,
John F. Geisz,
Tao Song,
Waldo Olavarria,
Michelle Young,
Alan Kibbler,
Myles A. Steiner
Abstract:
Multijunction solar cell design is guided by both the theoretical optimal bandgap combination as well as the realistic limitations to materials with these bandgaps. For instance, triple-junction III-V multijunction solar cells commonly use GaAs as a middle cell because of its near-perfect material quality, despite its bandgap being higher than optimal for the global spectrum. Here, we modify the G…
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Multijunction solar cell design is guided by both the theoretical optimal bandgap combination as well as the realistic limitations to materials with these bandgaps. For instance, triple-junction III-V multijunction solar cells commonly use GaAs as a middle cell because of its near-perfect material quality, despite its bandgap being higher than optimal for the global spectrum. Here, we modify the GaAs bandgap using thick GaInAs/GaAsP strain-balanced quantum well (QW) solar cells with excellent voltage and absorption. These high-performance QWs are incorporated into a triple-junction inverted metamorphic multijunction device consisting of a GaInP top cell, GaInAs/GaAsP QW middle cell, and lattice-mismatched GaInAs bottom cell, each of which has been highly optimized. We demonstrate triple-junction efficiencies of 39.5% and 34.2% under the global and space spectra, respectively, which are higher than previous record six-junction devices.
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Submitted 29 March, 2022;
originally announced March 2022.
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A measurement method of transverse light-shift in atomic spin co-magnetometer
Authors:
Li Xing,
Wei Quan,
Tianxiao Song,
Qingzhong Cai,
Wen Ye
Abstract:
We disclose a method to obtain the transverse light-shift along the probe light of a single-axis alkali metal-noble gas co-magnetometer. The relationship between transverse compensating field and light-shift is deduced through the steady-state solution of Bloch equations. The variety of probe light intensity is used to obtain the residual magnetic field, and step modulation tests are applied to ac…
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We disclose a method to obtain the transverse light-shift along the probe light of a single-axis alkali metal-noble gas co-magnetometer. The relationship between transverse compensating field and light-shift is deduced through the steady-state solution of Bloch equations. The variety of probe light intensity is used to obtain the residual magnetic field, and step modulation tests are applied to acquire the total spin-relaxation rate of electron spins and self-compensation point. Finally, the transverse light-shift is reduced from -0.115 nT to -0.039 nT by optimizing the probe light wavelength, and the value of the calibration coefficient can be increased simultaneously.
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Submitted 29 November, 2021;
originally announced November 2021.
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Characterization of Pedestal Burst Instabilities during I-mode to H-mode Transition in the EAST Tokamak
Authors:
X. M. Zhong,
X. L. Zou,
A. D. Liu,
Y. T. Song,
G. Zhuang,
E. Z. Li,
B. Zhang,
J. Zhang,
C. Zhou,
X. Feng,
Y. M. Duan,
R. Ding,
H. Q. Liu,
B. Lv,
L. Wang,
L. Q. Xu,
L. Zhang,
Hailin Zhao,
Tao Zhang,
Qing Zang,
B. J. Ding,
M. H. Li,
C. M. Qin,
X. J. Wang,
X. J. Zhang
, et al. (1 additional authors not shown)
Abstract:
Quasi-periodic Pedestal Burst Instabilities (PBIs), featuring alternative turbulence suppression and bursts, have been clearly identified by various edge diagnostics during I-mode to H-mode transition in the EAST Tokamak. The radial distribution of the phase perturbation caused by PBI shows that PBI is localized in the pedestal. Prior to each PBI, a significant increase of density gradient close t…
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Quasi-periodic Pedestal Burst Instabilities (PBIs), featuring alternative turbulence suppression and bursts, have been clearly identified by various edge diagnostics during I-mode to H-mode transition in the EAST Tokamak. The radial distribution of the phase perturbation caused by PBI shows that PBI is localized in the pedestal. Prior to each PBI, a significant increase of density gradient close to the pedestal top can be clearly distinguished, then the turbulence burst is generated, accompanied by the relaxation of the density profile, and then induces an outward particle flux. The relative density perturbation caused by PBIs is about $6 \sim 8\%$. Statistic analyses show that the pedestal normalized density gradient triggering the first PBI has a threshold value, mostly in the range of $22 \sim 24$, suggesting that a PBI triggering instability could be driven by the density gradient. And the pedestal normalized density gradient triggering the last PBI is about $30 \sim 40$ and seems to increase with the loss power and the chord-averaged density. In addition, the frequency of PBI is likely to be inversely proportional to the chord-averaged density and the loss power. These results suggest that PBIs and the density gradient prompt increase prior to PBIs can be considered as the precursor for controlling I-H transition.
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Submitted 7 February, 2022; v1 submitted 1 November, 2021;
originally announced November 2021.
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Rapid interrogation of special nuclear materials by combining scattering and transmission nuclear resonance fluorescence spectroscopy
Authors:
Haoyang Lan,
Tan Song,
Jialin Zhang,
Jianliang Zhou,
Wen Luo
Abstract:
The smuggling of special nuclear materials (SNMs) across national borders is becoming a serious threat to nuclear nonproliferation. This paper presents a feasibility study on the rapid interrogation of concealed SNMs by combining scattering and transmission nuclear resonance fluorescence (sNRF and tNRF) spectroscopy. In sNRF spectroscopy, SNMs such as $^{235, 238}$U are excited by a wide-band phot…
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The smuggling of special nuclear materials (SNMs) across national borders is becoming a serious threat to nuclear nonproliferation. This paper presents a feasibility study on the rapid interrogation of concealed SNMs by combining scattering and transmission nuclear resonance fluorescence (sNRF and tNRF) spectroscopy. In sNRF spectroscopy, SNMs such as $^{235, 238}$U are excited by a wide-band photon beam of appropriate energy and exhibit unique NRF signatures. Monte Carlo simulations show that one-dimensional scans can realize isotopic identification of concealed $^{235, 238}$U when the detector array used for interrogation has sufficiently high energy resolution. The simulated isotopic ratio $^{235}U/^{238}U$ is in good agreement with the theoretical value when the SNMs are enclosed in relatively thin iron. This interrogation is followed by tNRF spectroscopy using a narrow-band photon beam with the goal of obtaining tomographic images of the concealed SNMs. The reconstructed image clearly reveals the position of the isotope $^{235}$U inside an iron rod. It is shown that the interrogation time of sNRF and tNRF spectroscopy is one order of magnitude lower than that when only tNRF spectroscopy is used and results in a missed-detection rate of 10$^{-3}$. The proposed method can also be applied for isotopic imaging of other SNMs such as $^{239, 240}$Pu and $^{237}$Np.
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Submitted 9 July, 2021;
originally announced July 2021.
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Objective comparison of methods to decode anomalous diffusion
Authors:
Gorka Muñoz-Gil,
Giovanni Volpe,
Miguel Angel Garcia-March,
Erez Aghion,
Aykut Argun,
Chang Beom Hong,
Tom Bland,
Stefano Bo,
J. Alberto Conejero,
Nicolás Firbas,
Òscar Garibo i Orts,
Alessia Gentili,
Zihan Huang,
Jae-Hyung Jeon,
Hélène Kabbech,
Yeongjin Kim,
Patrycja Kowalek,
Diego Krapf,
Hanna Loch-Olszewska,
Michael A. Lomholt,
Jean-Baptiste Masson,
Philipp G. Meyer,
Seongyu Park,
Borja Requena,
Ihor Smal
, et al. (9 additional authors not shown)
Abstract:
Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement. However, this approach breaks down for cases of practical interest…
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Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement. However, this approach breaks down for cases of practical interest, e.g., short or noisy trajectories, heterogeneous behaviour, or non-ergodic processes. Recently, several new approaches have been proposed, mostly building on the ongoing machine-learning revolution. To perform an objective comparison of methods, we gathered the community and organized an open competition, the Anomalous Diffusion challenge (AnDi). Participating teams applied their algorithms to a commonly-defined dataset including diverse conditions. Although no single method performed best across all scenarios, machine-learning-based approaches achieved superior performance for all tasks. The discussion of the challenge results provides practical advice for users and a benchmark for developers.
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Submitted 21 August, 2025; v1 submitted 14 May, 2021;
originally announced May 2021.
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High polarization, endurance and retention in sub-5 nm Hf$_{0.5}$Zr$_{0.5}$O$_2$ films
Authors:
Jike Lyu,
Tingfeng Song,
Ignasi Fina,
Florencio Sánchez
Abstract:
Ferroelectric HfO$_2$ is a promising material for new memory devices, but significant improvement of important properties is necessary to reach applications. However, precedent literature shows that a dilemma between polarization, endurance and retention exists. Since all these properties should be simultaneously high, overcoming this issue is of the highest relevance. Here, we demonstrate that hi…
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Ferroelectric HfO$_2$ is a promising material for new memory devices, but significant improvement of important properties is necessary to reach applications. However, precedent literature shows that a dilemma between polarization, endurance and retention exists. Since all these properties should be simultaneously high, overcoming this issue is of the highest relevance. Here, we demonstrate that high crystalline quality sub-5 nm Hf0.5Zr0.5O2 capacitors, integrated epitaxially with Si(001), present combined high polarization (2Pr of 27 uC/cm2 in the pristine state), endurance (2Pr > 6 uC/cm2 after E11 cycles) and retention (2Pr > 12 uC/cm2 extrapolated at 10 years) using same poling conditions (2.5 V). This achievement is demonstrated in films thinner than 5 nm, thus opening bright possibilities in ferroelectric tunnel junctions and other devices.
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Submitted 29 May, 2020;
originally announced May 2020.
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Synchronization of active rotators interacting with environment
Authors:
Taegeun Song,
Heetae Kim,
Seung-Woo Son,
Junghyo Jo
Abstract:
Multiple organs in a living system respond to environmental changes, and the signals from the organs regulate the physiological environment. Inspired by this biological feedback, we propose a simple autonomous system of active rotators to explain how multiple units are synchronized under a fluctuating environment. We find that the feedback via an environment can entrain rotators to have synchronou…
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Multiple organs in a living system respond to environmental changes, and the signals from the organs regulate the physiological environment. Inspired by this biological feedback, we propose a simple autonomous system of active rotators to explain how multiple units are synchronized under a fluctuating environment. We find that the feedback via an environment can entrain rotators to have synchronous phases for specific conditions. This mechanism is markedly different from the simple entrainment by a common oscillatory external stimulus that is not interacting with systems. We theoretically examine how the phase synchronization depends on the interaction strength between rotators and environment. Furthermore, we successfully demonstrate the proposed model by realizing an analog electric circuit with microelectronic devices. This bio-inspired platform can be used as a sensor for monitoring varying environments, and as a controller for amplifying signals by their feedback-induced synchronization.
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Submitted 5 January, 2020;
originally announced January 2020.
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Characterizations of thermal stability and electrical performance of Au-Ni coating on CuCrZr substrate for high vacuum radio-frequency contact application
Authors:
Z Chen,
Julien Hillairet,
V. Turq,
Y. T. Song,
R. Laloo,
Jean-Michel Bernard,
K. Vulliez,
G. Lombard,
C. Hernandez,
Q. X. Yang,
L. Ferreira,
F. Fesquet,
P. Mollard,
R. Volpe
Abstract:
Radio-frequency (RF) contacts-which are an example of electrical contacts-are commonly employed on accelerators and nuclear fusion experimental devices. RF contacts with a current load of 2 kA for steady-state operation were designed for application to the International Thermonuclear Experimental Reactor (ITER) device. In contrast to the typical working conditions of general commercial electrical…
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Radio-frequency (RF) contacts-which are an example of electrical contacts-are commonly employed on accelerators and nuclear fusion experimental devices. RF contacts with a current load of 2 kA for steady-state operation were designed for application to the International Thermonuclear Experimental Reactor (ITER) device. In contrast to the typical working conditions of general commercial electrical contacts, those of RF contacts employed on fusion devices include high vacuum, high temperature, and neutron radiation. CuCrZr is currently of interest as a base material for the manufacture of louvers of RF contacts, which has excellent thermal and electrical properties and has low creep rate at 250 {\textdegree}C. In this study, a hard Au coating (Au-Ni) was electroplated on CuCrZr samples and the samples were then subjected to thermal aging treatment at 250 {\textdegree}C for 500 h in order to simulate the vacuum-commissioning process of the ITER. The effects of thermal aging on the hardness, elastic modulus, crystallite size, and compositions of the coating were investigated via microstructural and mechanical characterizations of the coating material. Metal atom migration in different coating layers during thermal aging was characterized and evaluated via scanning electron microscopy/energy dispersive X-ray spectroscopy observations of the cross-sectional surfaces, and the obtained results could be used to directly select the coating thickness for the final RF contact component. The contact resistance-an important parameter of the RF contact-was measured in a dedicated testbed built to simulate fusion reactor conditions between CuCrZr pins and stainless steel plates coated with Au-Ni and Rh, respectively.
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Submitted 8 April, 2019;
originally announced July 2019.
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Comment on "Topological Nodal-Net Semimetal in a Graphene Network Structure"
Authors:
Tielei Song,
Zhifeng Liu,
Xin Cui
Abstract:
Recently, a distinct topological semimetal, nodal-net semimetal, has been identified by Wang et al. through ab initio calculations [Phys. Rev. Lett. 120, 026402 (2018)]. The authors claimed that a new body-centered tetragonal carbon allotrope with I4/mmm symmetry, termed bct-C40, can host this novel state exhibiting boxed-astrisk shaped nodal nets. In this Comment, we demonstrate that bct-C40 is i…
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Recently, a distinct topological semimetal, nodal-net semimetal, has been identified by Wang et al. through ab initio calculations [Phys. Rev. Lett. 120, 026402 (2018)]. The authors claimed that a new body-centered tetragonal carbon allotrope with I4/mmm symmetry, termed bct-C40, can host this novel state exhibiting boxed-astrisk shaped nodal nets. In this Comment, we demonstrate that bct-C40 is in fact a nodal surface semimetal, the concept of which has been proposed as early as 2016 [Phys. Rev. B 93, 085427 (2016)].
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Submitted 28 August, 2022; v1 submitted 21 May, 2019;
originally announced May 2019.
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Mechanism of cellular effect directly induced by magnetic nanoparticles under magnetic fields
Authors:
Linjie Chen,
Changyou Chen,
Pingping Wang,
Tao Song
Abstract:
The interaction of magnetic nanoparticles (MNPs) with various magnetic fields could directly induce cellular effects. Many scattered investigations have got involved in these cellular effects, analyzed their relative mechanisms and extended their biomedical uses in magnetic hyperthermia and cell regulation. This review reports these cellular effects and their important applications in biomedical a…
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The interaction of magnetic nanoparticles (MNPs) with various magnetic fields could directly induce cellular effects. Many scattered investigations have got involved in these cellular effects, analyzed their relative mechanisms and extended their biomedical uses in magnetic hyperthermia and cell regulation. This review reports these cellular effects and their important applications in biomedical area. More importantly, we highlight the underlying mechanisms behind these direct cellular effects in the review from the thermal energy and mechanical force. Recently, some physical analyses showed that the mechanisms of heat and mechanical force in cellular effects are controversial. Although the physical principle plays an important role in these cellular effects, some chemical reactions such as free radical reaction also existed in the interaction of MNPs with magnetic fields, which provides the possible explanation for the current controversy. It's anticipated that the review here could provide readers a deeper understanding of mechanisms of how MNPs contribute to the direct cellular effects and thus their biomedical applications under various magnetic fields.
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Submitted 22 January, 2017;
originally announced January 2017.
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A Robust and Efficient Detection Algorithm for The Photon-Counting Free-Space Optical System
Authors:
Tianyu Song,
Pooi-Yuen Kam
Abstract:
We propose a Viterbi-type trellis-search algorithm to implement the FSO photon-counting sequence receiver proposed in [1] more efficiently and a selective-store strategy to overcome the error floor problem observed therein.
We propose a Viterbi-type trellis-search algorithm to implement the FSO photon-counting sequence receiver proposed in [1] more efficiently and a selective-store strategy to overcome the error floor problem observed therein.
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Submitted 12 November, 2014;
originally announced December 2014.
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Avian magnetoreception model realized by coupling magnetite-based mechanism with radical-pair-based mechanism
Authors:
Yan Lu,
Tao Song
Abstract:
Many animal species were verified to use geomagnetic field for their navigation, but the biophysical mechanism of magnetoreception has remained enigmatic. This paper presents a special biophysical model that consists of magnetite-based and radical-pair-based mechanisms for avian magnetoreception. The amplitude of the resultant magnetic field around the magnetic particles corresponds to the geomagn…
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Many animal species were verified to use geomagnetic field for their navigation, but the biophysical mechanism of magnetoreception has remained enigmatic. This paper presents a special biophysical model that consists of magnetite-based and radical-pair-based mechanisms for avian magnetoreception. The amplitude of the resultant magnetic field around the magnetic particles corresponds to the geomagnetic field direction and affects the yield of singlet/triplet state products in the radical-pair reactions. Therefore, in the proposed model, the singlet/triplet state product yields are related to the geomagnetic field information for orientational detection. The resultant magnetic fields corresponding to two materials with different magnetic properties were analyzed under different geomagnetic field directions. The results showed that ferromagnetic particles in organisms can provide more significant changes in singlet state products than superparamagnetic particles, and the period of variation for the singlet state products with an included angle in the geomagnetic field is approximately 180° when the magnetic particles are ferromagnetic materials, consistent with the experimental results obtained from avian magnetic compass. Further, the calculated results of the singlet state products in a reception plane showed that the proposed model can explain the avian magnetoreception mechanism with an inclination compass.
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Submitted 24 April, 2012; v1 submitted 27 February, 2012;
originally announced February 2012.
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New Insights into Traffic Dynamics: A Weighted Probabilistic Cellular Automaton Model
Authors:
X. L. Li,
H. Kuang,
T. Song,
S. Q. Dai,
Z. P. Li
Abstract:
From the macroscopic viewpoint for describing the acceleration behavior of drivers, this letter presents a weighted probabilistic cellular automaton model (the WP model, for short) by introducing a kind of random acceleration probabilistic distribution function. The fundamental diagrams, the spatio-temporal pattern are analyzed in detail. It is shown that the presented model leads to the results…
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From the macroscopic viewpoint for describing the acceleration behavior of drivers, this letter presents a weighted probabilistic cellular automaton model (the WP model, for short) by introducing a kind of random acceleration probabilistic distribution function. The fundamental diagrams, the spatio-temporal pattern are analyzed in detail. It is shown that the presented model leads to the results consistent with the empirical data rather well, nonlinear velocity-density relationship exists in lower density region, and a new kind of traffic phenomenon called neo-synchronized flow is resulted. Furthermore, we give the criterion for distinguishing the high-speed and low-speed neo-synchronized flows and clarify the mechanism of this kind of traffic phenomena. In addition, the result that the time evolution of distribution of headways is displayed as a normal distribution further validates the reasonability of the neo-synchronized flow. These findings suggest that the diversity and randomicity of drivers and vehicles has indeed remarkable effect on traffic dynamics.
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Submitted 4 December, 2007; v1 submitted 18 September, 2007;
originally announced September 2007.
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GATE : a simulation toolkit for PET and SPECT
Authors:
S. Jan,
G. Santin,
D. Strul,
S. Staelens,
K. Assie,
D. Autret,
S. Avner,
R. Barbier,
M. Bardies,
P. M. Bloomfield,
D. Brasse,
V. Breton,
P. Bruyndonckx,
I. Buvat,
A. F. Chatziioannou,
Y. Choi,
Y. H. Chung,
C. Comtat,
D. Donnarieix,
L. Ferrer,
S. J. Glick,
C. J. Groiselle,
D. Guez,
P. -F. Honore,
S. Kerhoas-Cavata
, et al. (28 additional authors not shown)
Abstract:
Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the development or assessment of image reconstruction algorithms and correction techniques. GATE, the Geant4 Application for Tomographic Emission, encapsulates the Geant4 libraries to achieve a modular, versatile, scripted…
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Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the development or assessment of image reconstruction algorithms and correction techniques. GATE, the Geant4 Application for Tomographic Emission, encapsulates the Geant4 libraries to achieve a modular, versatile, scripted simulation toolkit adapted to the field of nuclear medicine. In particular, GATE allows the description of time-dependent phenomena such as source or detector movement, and source decay kinetics. This feature makes it possible to simulate time curves under realistic acquisition conditions and to test dynamic reconstruction algorithms. A public release of GATE licensed under the GNU Lesser General Public License can be downloaded at the address http://www-lphe.epfl.ch/GATE/.
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Submitted 24 August, 2004;
originally announced August 2004.