arXiv subjects

D. Wu

Publications and source records attributed to D. Wu.

At least 19 recordsLinked to original sources

arXiv2026

A three-step proposal for searching for light shining through walls in the X-ray band at the High Energy Photon Source

Despite compelling observational evidence for dark matter (DM), its fundamental physical properties remain poorly understood. In this report, we propose a three-step light-shining-through-walls (LSW) experimental scheme utilizing the high-brilliance, high-energy X-rays from the ID21 Hard X-ray Imaging Beamline at the High Energy Photon Source (HEPS) to search for signatures of dark photons (DPs) and other weakly interacting slim particles (WISPs). The scheme includes three steps of LSW experiments: a short-term (several days) dedicated exposure experiment, a long-term (several years) synchronous accompanying experiment, and a WISP detection with strong magnetic fields. Projection results show that this HEPS-based LSW experiment can effectively constrain DP parameters in the 1 eV--400 keV mass range, covering unexploited parameter space of the existing X-ray LSW experiments. It provides a least model-dependent and most purely-laboratory approach for probing dark sector particles and advancing new physics research beyond the Standard Model gradually.

hep-ex↗

arXiv2026

Bridging the Kinetic-Fluid Gap: Ion-Driven Magnetogenesis to Prime Cosmic Dynamos

The origin of cosmic magnetic fields is widely attributed to the amplification of weak seed fields by turbulent dynamos. However, a critical understanding gap remains between the microscopic generation of these seeds and the macroscopic onset of the dynamo. Current kinetic models, often constrained to electron scales, predict premature saturation via magnetic trapping, leaving the generated fields potentially too weak and small-scale to effectively prime magnetohydrodynamic (MHD) processes. Here, using high-resolution kinetic simulations with a realistic mass ratio, we reveal the physics of this unexplored ion-kinetic regime. Under generalized continuous shear driving, used to simulate ubiquitous macroscopic flows, we demonstrate that the saturation of electron instabilities is not the endpoint but a precursor to a distinct, ion-dominated evolution. Massive ions, sustaining the velocity shear, trigger a subsequent filamentation instability that accesses the vast ion kinetic energy reservoir. This mechanism amplifies the magnetic energy by orders of magnitude beyond the electron-saturation limit, expanding the field coherence to ion scales. Our results establish ion kinetics as the essential ''missing link'' that bridges the divide between microscopic plasma instabilities and macroscopic cosmic dynamos.

physics.plasm-ph↗

arXiv2025

$C_{3}$-Symmetry-induced Antisymmetric Planar Hall effect and Magnetoresistance in Single-Crystalline Ferromagnets

The planar Hall effect (PHE) is typically symmetric under magnetic field reversal, as required by the Onsager reciprocity relations. Recent advances have identified the antisymmetric PHE (under magnetic field reversal) as an intriguing extension in magnetic systems. While new mechanisms have been proposed, the role of conventional anisotropic magnetoresistance (AMR) in this phenomenon remains unclear. Here, we report the experimental discovery of an antisymmetric (with respect to both magnetic field and magnetization) PHE and magnetoresistance in single-crystal $Co_{30}Pt_{70}$ (111) thin films with $C_{3}$ rotational symmetry and perpendicular magnetic anisotropy (PMA). We demonstrate that both antisymmetric effects arise naturally from the intrinsic fourth-rank AMR tensor inherent to C3-symmetric planes, assisted by PMA. Our findings link conventional AMR to antisymmetric galvanomagnetic responses, offering new insights into symmetry-governed transport in crystalline ferromagnets.

cond-mat.mtrl-sci↗

arXiv2025

Effect of flow-aligned external magnetic fields on mushroom instability

Mushroom instability (MI) is a shear instability considered responsible for generating and amplifying magnetic fields in relativistic jets. While astrophysical jets are usually magnetized, how MI acts in magnetized jets remains poorly understood. In this paper, we investigate the effect of a flow-aligned external magnetic field on MI, with both theoretical analyses and particle-in-cell (PIC) simulations. In the limit of a cold and collisionless plasma, we derive a generalized dispersion relation for linear growth rates of the magnetized MIs. Numerical solutions of the dispersion relation reveal that the external magnetic field always suppresses the growth of MI, though MIs are much more robust against the external magnetic field than electron-scale Kelvin-Helmholtz instabilities (ESKHIs). Analyses are also extended to instabilities with an arbitrary wavevector in the shear interface plane, where coupling effect is observed for sub-relativistic scenarios. Two-dimensional PIC simulations of single-mode MIs reach a good agreement with our analytical predictions, and we observe formation of a quasi-steady saturation structure in magnetized runs. In simulations with finite temperatures, we observe the competition and cooperation between MIs and a diffusion-induced DC magnetic field.

physics.plasm-ph↗

arXiv2025

First-principles analysis of the warm dense plasma jets in Double-Cone Ignition experiments

Double-Cone Ignition (DCI) differs from the traditional laser-driven inertial confinement fusions by relying on gold cones for transverse filtering to achieve warm dense plasma, thereby reducing the energy required during the compression process. Thus, the state of the plasma ejected from the gold cones directly reflects the energy conversion efficiency and influences the subsequent fusion process. In this paper, we analyze the x-ray Thomson scattering data from the earlier stage DCI experiments \cite{zhang2020double}. We combine the imaginary-time correlation function method with first-principles methods to decouple the diagnosis of temperature and density and obtain the temperature and density diagnostic outputs: $25$ $\mathrm{eV}$ and $8\pm2$ $\mathrm{g/cc}$. In the analysis, we consider the effect of multi-element mixing and determine the gold impurity ratio to be $0.162 \pm 0.015 \%$ based on the experimental spectrum. These detailed analysis results demonstrate the role of the gold cone in achieving plasma compression and confirm that the gold impurities are within an acceptable range, providing valuable references for future experiments.

physics.plasm-ph↗

arXiv2024

Privacy-Preserving Brain-Computer Interfaces: A Systematic Review

A brain-computer interface (BCI) establishes a direct communication pathway between the human brain and a computer. It has been widely used in medical diagnosis, rehabilitation, education, entertainment, etc. Most research so far focuses on making BCIs more accurate and reliable, but much less attention has been paid to their privacy. Developing a commercial BCI system usually requires close collaborations among multiple organizations, e.g., hospitals, universities, and/or companies. Input data in BCIs, e.g., electroencephalogram (EEG), contain rich privacy information, and the developed machine learning model is usually proprietary. Data and model transmission among different parties may incur significant privacy threats, and hence privacy protection in BCIs must be considered. Unfortunately, there does not exist any contemporary and comprehensive review on privacy-preserving BCIs. This paper fills this gap, by describing potential privacy threats and protection strategies in BCIs. It also points out several challenges and future research directions in developing privacy-preserving BCIs.

cs.HC↗

arXiv2024

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces

Transfer learning (TL) has been widely used in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) for reducing calibration efforts. However, backdoor attacks could be introduced through TL. In such attacks, an attacker embeds a backdoor with a specific pattern into the machine learning model. As a result, the model will misclassify a test sample with the backdoor trigger into a prespecified class while still maintaining good performance on benign samples. Accordingly, this study explores backdoor attacks in the TL of EEG-based BCIs, where source-domain data are poisoned by a backdoor trigger and then used in TL. We propose several active poisoning approaches to select source-domain samples, which are most effective in embedding the backdoor pattern, to improve the attack success rate and efficiency. Experiments on four EEG datasets and three deep learning models demonstrate the effectiveness of the approaches. To our knowledge, this is the first study about backdoor attacks on TL models in EEG-based BCIs. It exposes a serious security risk in BCIs, which should be immediately addressed.

cs.HC↗

arXiv2024

User Identity Protection in EEG-based Brain-Computer Interfaces

A brain-computer interface (BCI) establishes a direct communication pathway between the brain and an external device. Electroencephalogram (EEG) is the most popular input signal in BCIs, due to its convenience and low cost. Most research on EEG-based BCIs focuses on the accurate decoding of EEG signals; however, EEG signals also contain rich private information, e.g., user identity, emotion, and so on, which should be protected. This paper first exposes a serious privacy problem in EEG-based BCIs, i.e., the user identity in EEG data can be easily learned so that different sessions of EEG data from the same user can be associated together to more reliably mine private information. To address this issue, we further propose two approaches to convert the original EEG data into identity-unlearnable EEG data, i.e., removing the user identity information while maintaining the good performance on the primary BCI task. Experiments on seven EEG datasets from five different BCI paradigms showed that on average the generated identity-unlearnable EEG data can reduce the user identification accuracy from 70.01\% to at most 21.36\%, greatly facilitating user privacy protection in EEG-based BCIs.

cs.HC↗

arXiv2024

Front-end Replication Dynamic Window (FRDW) for Online Motor Imagery Classification

Motor imagery (MI) is a classical paradigm in electroencephalogram (EEG) based brain-computer interfaces (BCIs). Online accurate and fast decoding is very important to its successful applications. This paper proposes a simple yet effective front-end replication dynamic window (FRDW) algorithm for this purpose. Dynamic windows enable the classification based on a test EEG trial shorter than those used in training, improving the decision speed; front-end replication fills a short test EEG trial to the length used in training, improving the classification accuracy. Within-subject and cross-subject online MI classification experiments on three public datasets, with three different classifiers and three different data augmentation approaches, demonstrated that FRDW can significantly increase the information transfer rate in MI decoding. Additionally, FR can also be used in training data augmentation. FRDW helped win national champion of the China BCI Competition in 2022.

cs.HC↗

arXiv2024

Harris Dispersion Relation and Bernstein Modes in Dense Magnetized Quantum Plasmas

The Bernstein wave is a well-known electrostatic eigen-mode in magnetized plasmas, and it is of broad connection to multiple disciplines, such as controlled nuclear fusions and astrophysics. In this work, we extend the Bernstein mode from classical to quantum plasmas by means of the quantum kinetic theory in a self-consistent manner, and especially the quantum version of the Harris dispersion relation is derived. The studied quantum effects appear in the form of pseudo-differential operators (\textgreek{Y}DO) in the formula, which are exactly solved using numerical methods. Furthermore, by utilizing the magnetized equilibrium Wigner function, Landau quantization and finite temperature effects are rigorously contained. It is found that behaviours of the quantum Bernstein wave departure significantly from its classical counterpart, especially when $\hbar\omega_{\mathrm{c}}$ is of the same order of the Fermi energy.

physics.plasm-ph↗

arXiv2024

Effects of Mass Diffusion on Rayleigh-Taylor Instability Under A Large Gravity

Rayleigh-Taylor instabilities (RTI) play an important role in the evolution of inertial confinement fusion (ICF) processes, while analytical prediction of the RTI growth rate often fails to reach an agreement with the experimental and simulation results. Accurate analytical prediction of RTI growth is of great significance to the success of ICF schemes. In this paper, we study the effects of mass diffusion and exponential density distribution on RTI under a large gravity, by solving the Rayleigh equation with a linear approximation to the density distribution of the mixing layer. While both effects tend to dampen the instability growth, mass diffusion dominates the damping of perturbations of larger wavenumber and exponential density distribution dominates those of smaller wavenumber, resulting in a non-monotonicity of the density suppression factor of the instability growth rate over perturbation wavenumbers.

physics.plasm-ph↗

arXiv2024

Large-Angle Collisions in Burning Plasmas of Inertial Confinement Fusions

A recent neutron analysis of experiments conducted at the National Ignition Facility (NIF) has revealed deviations from the Maxwellian distributions in the ion relative kinetic energy of burning plasmas, with the surprising emergence of supra-thermal deuterium and tritium (DT) ions that fall outside the predictions of macroscopic statistical hydrodynamic models. Our hybrid-particle-in-cell simulations, incorporating the newly-developed model of large-angle collisions, suggest this could be attributed to the increased significance of large-angle collisions among DT ions and $\alpha$-particles in the burning plasma. Extensive investigations into the implications of large-angle collisions in the burning plasma have yield several key findings, including an ignition moment promotion by $\sim 10\, {\rm ps}$, the presence of supra-thermal ions below an energy threshold, and a hotspot expansion rate about six times faster than expected. Furthermore, we have established the congruency between the NIF neutron spectral moment analysis and our simulations. Our researches on large-angle collisions in burning plasmas offer new insights for experiment interpretation and update our understanding for new designs of inertial confinement fusions.

physics.plasm-ph↗

arXiv2024

Laboratory-scale Perpendicular Collisionless Shock Generation and Ion Acceleration in Magnetized Head-on Colliding Plasmas

Magnetized collisionless shocks drive particle acceleration broadly in space and astrophysics. We perform the first large-scale particle-in-cell simulations with realistic laboratory parameters (density, temperature, and velocity) to investigate the magnetized shock in head-on colliding plasmas with an applied magnetic field of tens of Tesla. It is shown that a perpendicular collisionless shock is formed with about fourfold density jump when two pre-magnetized flows collide. This shock is also characterized by rapid increase of neutron yield, triggered by the beam-beam nuclear reactions between injected deuterons and ones reflected by the shock. Distinct from the shocks arising from the interaction of injected flows with a magnetized background, the self-generated magnetic field in this colliding plasmas experiences a significant amplification due to the increasing diamagnetic current, approximately 30 times of upstream magnetic field. Moreover, we find that ions, regardless of whether they pass through or are reflected by the shock, can gain energy by the shock surfing acceleration, generating a power-law energy spectrum. In addition, we also demonstrate that the shock mediated only by filamentation instability cannot be generated under the prevailing unmagnetized experimental parameters. These results provide a direct connection of astrophysical field amplification to the magnetized shock formation and nonthermal ion generation.

physics.plasm-ph↗

arXiv2024

Assessing Proton-Boron Fusion Feasibility under non-Thermal Equilibrium Conditions: Rider's Inhibition Revisited

Compared to the D-T reaction, the neutron-free proton-boron (p-$^{11}$B) fusion has garnered increasing attention in recent years. However, significant Bremsstrahlung losses pose a formidable challenge in p-$^{11}$B plasmas in achieving $Q>1$ in thermal equilibrium. The primary aim of this study is to corroborate Todd H. Rider's seminal work in the 1997 Physics of Plasmas, who investigated the feasibility of sustaining p-$^{11}$B fusion under non-thermal equilibrium conditions. Employing a series of simulations with new fusion cross-section, we assessed the minimum recirculating power that must be recycled to maintain the system's non-thermal equilibrium and found that it is substantially greater than the fusion power output, aligning with Rider's conclusions, whether under the conditions of non-Maxwellian electron distribution or Maxwellian electron distribution, reactors reliant on non-equilibrium plasmas for p-$^{11}$B fusion are unlikely to achieve net power production without the aid of highly efficient external heat engines. However, maintaining the ion temperature at 300 keV and the Coulomb logarithm at 15, while increasing the electron temperature beyond 23.33 keV set by Rider, leads to diminished electron-ion energy transfer and heightened Bremsstrahlung radiation. When the electron temperature approaches approximately 140 keV, this progression ultimately leads to a scenario where the power of Bremsstrahlung loss equals the power of electron-ion interactions, yet remains inferior to the fusion power. Consequently, this results in a net gain in energy production.

physics.plasm-ph↗

arXiv2024

Robust spin order and fragile charge order in Na0.5CoO2 as revealed by time-resolved terahertz spectroscopy

Near-infrared (NIR) pump-terahertz (THz) probe spectroscopy is used to investigate the charge and spin exciations in a strongly correlated electron compound Na0.5CoO2. This compound exhibits a coexistence of various charge and spin orders arising from intricate interactions among charge, spin, and orbital degrees of freedom. NIR pulses create significantly diverse effects on the charge and spin orders; while the charge order is easily melted,coherent magnon excitations are present in all fluences examined. Furthermore, a novel {\pi} phase shift of the coherent magnon oscillations is observed in the pump-induced change of the terahertz electric field between regions of increasing and decreasing field change. These results unequivocally illustrate that ultrashort laser pulses enable the disentanglement of different interactions within complex systems characterized by multiple orders, providing a fresh perspective on the interplay between itinerant and localized electrons within the Co 3d t2g multiplets.

cond-mat.str-el↗

arXiv2024

Non-Equilibrium and Self-Organization Evolution in Hot-Spot Ignition Processes

Due to disparate formation mechanisms, as for central hot-spot ignition and fast ignition, the initial temperatures of electron and ions usually differs from each other in the hot spot. Considering the percipient dependence of fusion cross-section and energy losses on temperature, this difference manifests the inadequacy of the equilibrium theoretical model in accurately depicting the ignition condition and evolution of the hot-spot. In this work, we studied a non-equilibrium model and extended this model to both isobaric and isochoric scenarios, characterized by varying hot-spot densities, temperatures and expansion velocities. In both cases, a spontaneous self-organization evolution was observed, manifesting as the bifurcation of ion and electron temperatures. Notably, the ion temperature is particularly prominent during the ignition process. This inevitability can be traced to the preponderant deposition rates of alpha-particles into D-T ions and the decreasing rate of energy exchange between electrons and D-T ions at elevated temperatures. The inherent structure, characterized by higher ion temperature and lower electron temperature during ignition, directly contributes to the augmentation of D-T reactions and mitigates energy losses through electron conduction and bremsstrahlung, thereby naturally facilitating nuclear fusions.

physics.plasm-ph↗

arXiv2024

Ion Kinetics and Neutron Generation Associated with Electromagnetic Turbulence in Laboratory-scale Counter-streaming Plasmas

Electromagnetic turbulence and ion kinetics in counter-streaming plasmas hold great significance in laboratory astrophysics, such as turbulence field amplification and particle energization. Here, we quantitatively demonstrate for the first time how electromagnetic turbulence affects ion kinetics under achievable laboratory conditions (millimeter-scale interpenetrating plasmas with initial velocity of $2000\ \mathrm{km/s}$, density of $4 \times 10^{19}\ \mathrm{cm}^{-3}$, and temperature of $100\ \mathrm{eV}$) utilizing a recently developed high-order implicit particle-in-cell code without scaling transformation. It is found that the electromagnetic turbulence is driven by ion two-stream and filamentation instabilities. For the magnetized scenarios where an applied magnetic field of tens of Tesla is perpendicular to plasma flows, the growth rates of instabilities increase with the strengthening of applied magnetic field, which therefore leads to a significant enhancement of turbulence fields. Under the competition between the stochastic acceleration due to electromagnetic turbulence and collisional thermalization, ion distribution function shows a distinct super-Gaussian shape, and the ion kinetics are manifested in neutron yields and spectra. Our results have well explained the recent unmagnetized experimental observations, and the findings of magnetized scenario can be verified by current astrophysical experiments.

physics.plasm-ph↗

arXiv2024

Extended Time-Dependent Density Functional Theory for Multi-Body Densities

Time-dependent density functional theory (TDDFT) is widely used for understanding and predicting properties and behaviors of matter. As one of the fundamental theorems in TDDFT, van Leeuwen's theorem [Phys. Rev. Lett. 82, 3863 (1999)] guarantees how to construct a unique potential with the same one-body density evolution. Here we extend van Leeuwen's theorem by exploring truncation criteria in BBGKY-hierarchy. Our generalized theorem demonstrates the existence of a unique non-local potential to accurately reconstruct the multi-body density evolution in binary interacting systems. Under non-stringent conditions, truncation of the BBGKY-hierarchy equations aligns with the behavior of multi-body density evolution, and maintains consistency in the reduced equations. As one of applications within the extended TDDFT supported by our theorem, multiple excitation energy can be typically solved as the eigenvalue of a generalized Casida's equation. The extended TDDFT provides an accurate and first-principle framework capable of describing the kinetic processes of correlated system, including strongly coupled particle transport, multiple excitation and ionization processes.

cond-mat.stat-mech↗