English
Related papers

Related papers: Convergent-Beam EMCD: Benefits, Pitfalls, and Appl…

200 papers

X-ray magnetic circular dichroism is an efficient contrast mechanism allowing for a direct sensitivity to magnetization. Combined with an imaging technique such as photoemission electron microscopy, it has been successfully applied to…

Mesoscale and Nanoscale Physics · Physics 2024-02-12 Alexis Wartelle , Marisel Di Pietro Martínez , Olivier Fruchart , Philippe David , Guillaume Beutier

The classical EMD algorithm has been used extensively in the literature to decompose signals that contain nonlinear waves. However when a signal contain two or more frequencies that are close to one another the decomposition might fail. In…

Numerical Analysis · Mathematics 2011-06-06 Mayer Humi

Recovering sparse signals from observed data is an important topic in signal/imaging processing, statistics and machine learning. Nonconvex penalized least squares have been attracted a lot of attentions since they enjoy nice statistical…

Machine Learning · Statistics 2021-09-21 Yuling Jiao , Dingwei Li , Min Liu , Xiliang Lu

Momentum-resolved scanning transmission electron microscopy (MRSTEM) is a powerful phase-contrast technique that can map lateral magnetic and electric fields ranging from the micrometer to the subatomic scale. Resolving fields ranging from…

All-dielectric metasurfaces can produce structural colors, but the most advantageous design criteria are still being investigated. This work numerically studies how the two-dimensional shape of nanoparticles affects the colorimetric…

Optics · Physics 2025-08-06 Zaid Haddadin , Anna My Nguyen , Lisa V. Poulikakos

This paper investigates the characteristics of energy detection (ED) over composite $\kappa$-$\mu$ shadowed fading channels in ultra machine-type communication (mMTC) networks. We have derived the closed-form expressions of the probability…

Signal Processing · Electrical Eng. & Systems 2025-09-01 He Huang , Zeping Sui , Zilong Liu , Wei Huang , Md. Noor-A-Rahim , Haishi Wang , Zhiheng Hu

We study the convergence of the Expectation-Maximization (EM) algorithm for mixtures of linear regressions with an arbitrary number $k$ of components. We show that as long as signal-to-noise ratio (SNR) is $\tilde{\Omega}(k)$,…

Machine Learning · Computer Science 2019-11-27 Jeongyeol Kwon , Constantine Caramanis

The nitrogen-vacancy (NV) center is a potential atomic-scale spin sensor for electric field sensing. However, its natural susceptibility to the magnetic field hinders effective detection of the electric field. Here we propose a robust…

Continuous-wave optically detected magnetic resonance (CW-ODMR) measurements with nitrogen-vacancy (NV) spins in diamond are used for sensing DC magnetic fields from nearby magnetic targets. However, this technique suffers from ambiguities…

We consider the problem of conditional density estimation, which is a major topic of interest in the fields of statistical and machine learning. Our method, called Marginal Contrastive Discrimination, MCD, reformulates the conditional…

Machine Learning · Statistics 2026-01-05 Katia Meziani , Aminata Ndiaye , Benjamin Riu

Controlling and channelling light emissions from unpolarized quantum dots into specific directions with chiral polarization remains a key challenge in modern photonics. Stacked metasurface designs offer a potential compact solution for…

Optically active achiral metasurfaces offer a promising way to detect chiral molecules based on chiroptic methods. The combination of plasmonic enhanced circular dichroism and reversible optical activity would boost the sensitivity and…

Dual functional radar and communication (DFRC) systems are a viable approach to extend the services of future communication systems. Most studies designing DFRC systems assume that the target direction is known. In our paper, we address a…

Signal Processing · Electrical Eng. & Systems 2024-12-11 Mateen Ashraf , Anna Gaydamaka , Dmitri Moltchanov , John Thompson , Mikko Valkama , Bo Tan

The Controlled Source Electromagnetic (CSEM) method aims to image electrical resistivity at intermediate depths (0-3 km) for geothermal, mineral, and groundwater exploration. It was developed both as a deeper extension of DC resistivity…

Geophysics · Physics 2026-05-28 F Bretaudeau , S Védrine , C Patzer , B Kim , F Dubois , U Autio , J Kamm , M Darnet

X-ray magnetic circular dichroism (XMCD) is generally not observed for antiferromagnetic (AFM) states because XMCD signals from the antiparallelly coupled spins cancel each other. In this letter, we theoretically show the presence of an…

Strongly Correlated Electrons · Physics 2021-04-21 N. Sasabe , M. Kimata , T. Nakamura

The detection of the Chiral Magnetic Effect (CME) in relativistic heavy-ion collisions remains challenging due to substantial background contributions that obscure the expected signal. In this Letter, we present a novel machine learning…

High Energy Physics - Phenomenology · Physics 2025-12-01 Yuji Hirono , Kazuki Ikeda , Dmitri E. Kharzeev , Ziyi Liu , Shuzhe Shi

In this paper a signal denoising scheme based on Empirical mode decomposition (EMD) is presented. The denoising method is a fully data driven approach. Noisy signal is decomposed adaptively into intrinsic oscillatory components called…

Information Theory · Computer Science 2014-06-02 Mina Kemiha

We present a unique experimental design that enables the measurement of photoelectron circular dichroism (PECD) from chiral molecules in aqueous solution. The effect is revealed from the intensity difference of photoelectron emission into a…

We present numerical simulation of the X-ray magnetic circular dichroism (XMCD) of the $L_{2,3}$ and $M_{2,3}$ edges of Ru in antiferromagnetic RuO$_2$ using a combination of density functional + dynamical mean-field theory and…

Strongly Correlated Electrons · Physics 2024-03-13 A. Hariki , Y. Takahashi , J. Kuneš

Nuclear magnetic resonance (NMR) spectroscopy serves as an important tool to analyze chemicals and proteins in bioengineering. However, NMR signals are easily contaminated by noise during the data acquisition, which can affect subsequent…

Signal Processing · Electrical Eng. & Systems 2023-10-24 Di Guo , Runmin Xu , Jinyu Wu , Meijin Lin , Xiaofeng Du , Xiaobo Qu