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In this paper, we propose a method for estimating model parameters using Small-Angle Scattering (SAS) data based on the Bayesian inference. Conventional SAS data analyses involve processes of manual parameter adjustment by analysts or…

Small-angle X-ray scattering (SAXS) technique enables convenient nanoscopic characterization for various systems and conditions. Nonetheless, lab-based SAXS systems intrinsically suffer from insufficient x-ray flux and limited angular…

Instrumentation and Detectors · Physics 2020-09-30 Benjamin Gutman , Michael Mrejen , Gil Shabat , Ram Avinery , Yoel Shkolnisky , Roy Beck

We present a computational study of small-angle X-ray scattering (SAXS) in amorphous silicon ($a$-Si) with particular emphasis on the morphology and microstructure of voids. The relationship between the scattering intensity in SAXS and the…

Disordered Systems and Neural Networks · Physics 2018-05-23 Durga Paudel , Raymond Atta-Fynn , David A. Drabold , Stephen R. Elliott , Parthapratim Biswas

A new method is introduced for making X-ray mass determinations of spherical clusters of galaxies. Treating the distribution of gravitating matter as piecewise constant and the cluster atmosphere as piecewise isothermal, X-ray spectra of a…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-19 P. E. J. Nulsen , S. L. Powell , A. Vikhlinin

To explore dense packings of soft colloids, scattering experiments are ideal to access the structure factor. However, for soft microgels determination of the structure factor is difficult because of the low contrast of the polymer network…

We present NuMagSANS, a GPU-accelerated software package for calculating nuclear and magnetic small-angle neutron scattering (SANS) cross sections and correlation functions. The program allows users to import position-dependent nuclear…

Materials Science · Physics 2026-01-27 Michael P. Adams , Andreas Michels

We describe features of the X-ray: Generate and Analyse (XGA) open-source software package that have been developed to facilitate automated hydrostatic mass ($M_{\rm hydro}$) measurements from XMM X-ray observations of clusters of galaxies.…

Due to the importance of the lower bounding distances and the attractiveness of symbolic representations, the family of symbolic aggregate approximations (SAX) has been used extensively for encoding time series data. However, typical…

Information Retrieval · Computer Science 2024-04-24 Konstantinos Bountrogiannis , George Tzagkarakis , Panagiotis Tsakalides

Here we propose to exploit the low energy bandwidth, small wavelength and penetration power of ultrashort pulses from XFELs for resonant Small Angle Scattering (SAXS) on plasma structures in laser excited plasmas. Small angle scattering…

Plasma Physics · Physics 2016-03-09 Thomas Kluge , M. Bussmann , H. -K. Chung , C. Gutt , L. G. Huang , M. Zacharias , U. Schramm , T. E. Cowan

Cyber-physical systems (CPS) are increasingly becoming driven by data, using multiple types of sensors to capture huge amounts of data. Extraction and characterization of useful information from big streams of data is a challenging problem.…

Computers and Society · Computer Science 2021-06-22 Nicolas Basset , Thao Dang , Felix Gigler , Cristinel Mateis , Dejan Nickovic

A computer program for small angle X-ray scattering (SAXS) data processing and analysis named S.exe written in Intel Visual Fortran has been developed. This paper briefly introduces its main theory and function.

Data Analysis, Statistics and Probability · Physics 2015-06-16 Zhi-hong Li

Addressing imbalanced or long-tailed data is a major challenge in visual recognition tasks due to disparities between training and testing distributions and issues with data noise. We propose the Wrapped Cauchy Distributed Angular Softmax…

Machine Learning · Computer Science 2023-05-31 Boran Han

One of the key advantages of 3D rendering is its ability to simulate intricate scenes accurately. One of the most widely used methods for this purpose is Gaussian Splatting, a novel approach that is known for its rapid training and…

Graphics · Computer Science 2024-05-31 Artur Kasymov , Bartosz Czekaj , Marcin Mazur , Jacek Tabor , Przemysław Spurek

Open-source 3D data processing libraries originally developed for computer vision and pattern recognition are used to align and compare molecular shapes and sub-shapes. Here, a shape is represented by a set of points distributed on the van…

Biomolecules · Quantitative Biology 2019-08-30 Dominique Douguet , Frédéric Payan

Aims. We provide an easy-to-use full-spectrum fitting package and explore its applications to (i) the determination of the stellar atmospheric parameters and (ii) the study of the history of stellar populations. Methods. We developed ULySS,…

Instrumentation and Methods for Astrophysics · Physics 2015-05-13 Mina Koleva , Philippe Prugniel , Antoine Bouchard , Yue Wu

Recently developed single-phase concentrated solid-solution alloys (CSAs) contain multiple elemental species in high concentrations with different elements randomly arranged on a crystalline lattice. These chemically disordered materials…

Computational Physics · Physics 2025-02-19 K. Frydrych , F. J. Dominguez-Gutierrez , M. J. Alava , S. Papanikolaou

Making material experiments more efficient is a high priority for materials scientists who seek to discover new materials with desirable properties. In this paper, we investigate how to optimize the laborious sequential measurements of…

Materials Science · Physics 2019-10-24 Takuya Kanazawa , Akinori Asahara , Hidekazu Morita

Small Angle Scattering (SAS) of X-rays or neutrons is an experimental technique that provides valuable structural information for biological macromolecules under physiological conditions and with no limitation on the molecular size. In…

Biomolecules · Quantitative Biology 2013-06-11 Konstantin Berlin , Nail A. Gumerov , Ramani Duraiswami , David Fushman

We introduce NONSAC (Non-Minimal Sampling and Consensus), a general framework for robust and scalable model estimation from arbitrarily large datasets contaminated with noise and outliers. NONSAC repeatedly samples non-minimal subsets of…

Computer Vision and Pattern Recognition · Computer Science 2026-04-27 Seong Hun Lee , Patrick Vandewalle , Javier Civera