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An efficient nonlinear contrast source inversion scheme for electromagnetic imaging of sparse two-dimensional investigation domains is proposed. To avoid generating a sequence of linear sparse optimization problems, the non-linearity is…

Signal Processing · Electrical Eng. & Systems 2021-04-13 Ali I. Sandhu , Abdulla Desmal , Hakan Bagci

We propose a novel modification to the optical benches of space-based gravitational wave detectors (SGWDs) to enable the detection of axion-like dark matter (ALDM)-induced birefringence without altering the polarization of inter-spacecraft…

High Energy Physics - Phenomenology · Physics 2026-01-06 Run-Min Yao , Xiao-Jun Bi , Peng-Fei Yin , Qing-Guo Huang

We present a method of broadening the dynamic range of optical interferometric detection of cantilever displacement. The key idea of this system is to use a wavelength-tunable laser source. The wavelength is subject to proportional-integral…

Instrumentation and Detectors · Physics 2016-11-02 Hideyuki Takahashi , Tsubasa Okamoto , Eiji Ohmichi , Hitoshi Ohta

We present a theory of weak localization (WL) in the presence of generic spin-dependent fields, including any type of spin-orbit coupling, Zeeman fields, and non-homogeneous magnetic textures. We go beyond the usual diffusive approximation,…

Mesoscale and Nanoscale Physics · Physics 2024-04-30 Alberto Hijano , Stefan Ilić , F. Sebastián Bergeret

We develop a weak measurement scheme for measuring orbital angular momentum (OAM) of light based on the global topology in wave function. We introduce the spin-orbit coupling to transform the measurement of OAM to the pre- and postselected…

Optics · Physics 2024-10-02 Junfan Zhu , An Wang , Yurong Liu , Fuhua Gao , Zhiyou Zhang

We introduce Integrated Weak Learning, a principled framework that integrates weak supervision into the training process of machine learning models. Our approach jointly trains the end-model and a label model that aggregates multiple…

Machine Learning · Computer Science 2022-06-22 Peter Hayes , Mingtian Zhang , Raza Habib , Jordan Burgess , Emine Yilmaz , David Barber

A novel setup for the measurement of magnetic fields external to certain antiferromagnets and generally weakly remanent magnetic materials is presented. The setup features a highly sensitive Super Conducting Quantum Interference Device…

Subhalos at subgalactic scales ($M\lesssim 10^7 M_\odot$ or $k\gtrsim 10^3 \,{\rm Mpc}^{-1}$) are pristine test beds of dark matter (DM). However, they are too small, diffuse and dark to be visible, in any existing observations. In this…

Cosmology and Nongalactic Astrophysics · Physics 2021-09-07 Han Gil Choi , Chanung Park , Sunghoon Jung

High-dimensional feature spaces in particle physics events pose a fundamental challenge to density-estimation-based weakly supervised anomaly detection, whose fidelity degrades rapidly with an increasing number of dimensions. We propose a…

High Energy Physics - Phenomenology · Physics 2026-03-30 Runze Li , Benjamin Nachman , Dennis Noll

We propose the difference weak measurement scheme, and illustrate its advantages for measuring small longitude phase-shift in high precision. Compared to the standard interferometry and standard weak measurement schemes, the proposed scheme…

Quantum Physics · Physics 2018-07-04 Jing-Zheng Huang , Chen Fang , Guihua Zeng

This paper presents for the first time an innovative instrument called an inverted scanning microwave microscope (iSMM), which is capable of noninvasive and label-free imaging and characterization of intracellular structures of a live cell…

We consider the scenario where important signals are not strong enough to be separable from a large amount of noise. Such weak signals commonly exist in large-scale data analysis and play vital roles in many biomedical applications.…

Methodology · Statistics 2022-01-26 X. Jessie Jeng , Yifei Hu

To implement autonomous driving, one essential step is to model the vehicle environment based on the sensor inputs. Radars, with their well-known advantages, became a popular option to infer the occupancy state of grid cells surrounding the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Zihang Wei , Rujiao Yan , Matthias Schreier

The operation of a high sensitive atomic magnetometer using resonant elliptically polarized light is demonstrated. The experimental geometry allows autonomous frequency stabilization of the laser, thereby offers compact operation of the…

Atomic Physics · Physics 2016-03-23 S. Pradhan , S. Mishra , R. Behera , Poornima , K. Dasgupta

We present a comprehensive method for visualisation and quantification of the magnetic stray field of magnetic force microscopy (MFM) probes, applied to the particular case of custom-made multi-layered probes with controllable high/low…

Precise alignment sensing and control are essential for maintaining the stability of laser interferometric gravitational-wave detectors. Conventional Wave Front Sensing technique (WFS), which relies on the beat between the carrier and…

General Relativity and Quantum Cosmology · Physics 2026-03-04 Chiaki Hirose , Kenta Tanaka , Osamu Miyakawa , Takafumi Ushiba

Sensitive detection of magnetic field is one of the open problem in metrology. Here, we propose an Mach-Zehnder atomic interferometry to sensitively detect the very weak local magnetic field, which is expelled by the superconductor (as the…

Quantum Physics · Physics 2022-05-17 Y. Q. Chai , M. Zhang , L. F. Wei

Small-loop frequency-domain electromagnetic (FDEM) devices measure a secondary magnetic field caused by the application of a stronger primary magnetic field. Both the in-phase and quadrature component of the secondary field commonly suffer…

Geophysics · Physics 2020-07-02 Christin Bobe , Ellen Van De Vijver

Progress in testing fundamental physics relies on our ability to measure exceedingly small physical quantities. Using a $^{40}$Ca$^{+}$ trapped ion system as an example we show that an exceedingly weak synthetic magnetic field (at the scale…

Quantum Physics · Physics 2019-12-24 Sounok Ghosh , Leong-Chuan Kwek , Daniel R. Terno , Sai Vinjanampathy

Recent advancements in industrial anomaly detection (AD) have demonstrated that incorporating a small number of anomalous samples during training can significantly enhance accuracy. However, this improvement often comes at the cost of…

Computer Vision and Pattern Recognition · Computer Science 2025-01-16 Hanxi Li , Jingqi Wu , Deyin Liu , Lin Wu , Hao Chen , Mingwen Wang , Chunhua Shen