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A method based on optical interferences for measuring optical nonlinearities is presented. In a proof-of-principle experiment, the technique is applied to the experimental determination of the intensity dependence of the photoionization…

Optics · Physics 2013-08-06 F. Billard , P. Béjot , E. Hertz , B. Lavorel , O. Faucher

Evolutionary algorithms (EAs) serve as powerful black-box optimizers inspired by biological evolution. However, most existing EAs predominantly focus on heuristic operators such as crossover and mutation, while usually overlooking…

Neural and Evolutionary Computing · Computer Science 2026-01-21 Kaichen Ouyang , Mingyang Yu , Zong Ke , Junbo Jacob Lian , Shengwei Fu , Xiaoyang Hao , Shengju Yu , Dayu Hu

Initialization profoundly affects evolutionary algorithm (EA) efficacy by dictating search trajectories and convergence. This study introduces a hybrid initialization strategy combining empty-space search algorithm (ESA) and…

Neural and Evolutionary Computing · Computer Science 2025-05-12 Xinyu Zhang , Mário Antunes , Tyler Estro , Erez Zadok , Klaus Mueller

We develop an efficient algorithm for sampling the eigenvalues of random matrices distributed according to the Haar measure over the orthogonal or unitary group. Our technique samples directly a factorization of the Hessenberg form of such…

Numerical Analysis · Mathematics 2021-02-25 Massimiliano Fasi , Leonardo Robol

Two novel methods, including the scanning envelope synthesis (SES) method and the active reflection self-cancellation (ARC) method, are proposed to design wide-angle scanning heterogeneous element phased arrays. Heterogeneous strategy is…

Applied Physics · Physics 2025-04-25 Yongzheng Li , Wanchen Yang , Quan Xue , Wenquan Che

In this paper, we propose a systematic approach for accelerating finite element-type methods by machine learning for the numerical solution of partial differential equations (PDEs). The main idea is to use a neural network to learn the…

Numerical Analysis · Mathematics 2024-10-11 Shukai Du , Samuel N. Stechmann

The averaging method provides a powerful tool for studying evolution in near-integrable systems. Existence of separatrices in the phase space of the underlying integrable system is an obstacle for application of standard results that…

Dynamical Systems · Mathematics 2017-06-28 Anatoly Neishtadt

Discovering all the genetic causes of a phenotype is an important goal in functional genomics. In this paper we combine an experimental design for multiple independent detections of the genetic causes of a phenotype, with a high-throughput…

Quantitative Methods · Quantitative Biology 2014-03-18 Marc Harper , Luisa Gronenberg , James Liao , Christopher Lee

An analysis of the matrix models representing the polarimetric properties of light and material media is carried out by using the concept of the coherency matrix, which leads to the identification and definition of their corresponding…

Optics · Physics 2020-02-18 José J. Gil

Optical spectroscopy in the gas phase is a key tool to elucidate the structure of atoms and molecules and of their interaction with external fields. The line resolution is usually limited by a combination of first-order Doppler broadening…

Quantum Physics · Physics 2021-08-25 I. V. Kortunov , S. Alighanbari , M. G. Hansen , G. S. Giri , V. I. Korobov , S. Schiller

Electrical Impedance Tomography (EIT) is a powerful imaging technique with diverse applications, e.g., medical diagnosis, industrial monitoring, and environmental studies. The EIT inverse problem is about inferring the internal conductivity…

Machine Learning · Computer Science 2023-10-31 Derick Nganyu Tanyu , Jianfeng Ning , Andreas Hauptmann , Bangti Jin , Peter Maass

Electroabsorption (EA) measurements can be used to identify the type of excitons contributing to the absorption spectra of semiconductors which have applications in optoelectronics. However, the inferences from the EA measurement greatly…

Applied Physics · Physics 2020-09-29 Subhamoy Sahoo , Rajdeep Dhar , Sanjoy Jena , Soumya Dutta , Debdutta Ray , Jayeeta Bhattacharyya

This paper proposes Evolutionary Multi-objective Optimization (EMO)-based Adversarial Example (AE) design method that performs under black-box setting. Previous gradient-based methods produce AEs by changing all pixels of a target image,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Takahiro Suzuki , Shingo Takeshita , Satoshi Ono

Fast, non-destructive and on-site quality control tools, mainly high sensitive imaging techniques, are important to assess the reliability of photovoltaic plants. To minimize the risk of further damages and electrical yield losses,…

Computer Vision and Pattern Recognition · Computer Science 2020-10-01 Mathis Hoffmann , Bernd Doll , Florian Talkenberg , Christoph J. Brabec , Andreas K. Maier , Vincent Christlein

Designing a photometric system to best fulfil a set of scientific goals is a complex task, demanding a compromise between conflicting requirements and subject to various constraints. A specific example is the determination of stellar…

Astrophysics · Physics 2009-11-10 C. A. L. Bailer-Jones

Machine learning models work better when curated features are provided to them. Feature engineering methods have been usually used as a preprocessing step to obtain or build a proper feature set. In late years, autoencoders (a specific type…

Neural and Evolutionary Computing · Computer Science 2023-01-18 Francisco Charte , Antonio J. Rivera , Francisco Martínez , María J. del Jesus

Reparameterization from the standard set of orbital elements to Cartesian position-velocity vectors can be computationally advantageous for orbit inference problems, particularly when orbital elements are weakly constrained. Here we present…

Earth and Planetary Astrophysics · Physics 2026-05-14 Kento Masuda , Kansuke Nunota

Nature is imbued with mathematics, manifested through its stunning patterns, symmetries, and structures. Here, we unveil that in a multilayered framework of twisted birefringent optical components, a recursive number pattern of Pascal's…

Telescopes often modify the input polarization of a source so that the measured circular or linear output state of the optical signal can be signficantly different from the input. This mixing, or polarization "cross-talk", is defined by the…

Instrumentation and Methods for Astrophysics · Physics 2015-05-28 D. M. Harrington , J. R. Kuhn , S. Hall

Modern digital crosscorrelators permit the simultaneous measurement of all four Stokes parameters. However, the results must be calibrated to correct for the polarization transfer function of the receiving system. The transfer function for…