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We propose to develop mean field theory in combination with Glauber algorithm, to model and interpret protein dynamics and structure formation in small to wide angle x-ray scattering (S/WAXS) experiments. We develop the methodology by…

Biomolecules · Quantitative Biology 2017-12-20 Alexandr Nasedkin , Jan Davidsson , Antti J. Niemi , Xubiao Peng

To characterise (inter)diffusion in materials, concentration profiles can be measured by EDX. It allows one to determine the chemical composition with a very good accuracy if measurement artefacts are accounted for. Standard phenomena (such…

Classical Physics · Physics 2007-12-24 Olivier Arnould , François Hild

Multiple scattering methods are widely used to reduce the computational complexity of acoustic or electromagnetic scattering problems when waves propagate through media containing many identical inclusions. Historically, this numerical…

Numerical Analysis · Mathematics 2024-08-07 Carlos Borges , Leslie Greengard , Michael O'Neil , Manas Rachh

The prevalence of clouds in currently observable exoplanetary atmospheres motivates the compilation and calculation of their optical properties. First, we present a new open-source Mie scattering code known as LX-MIE, which is able to…

Earth and Planetary Astrophysics · Physics 2017-12-06 Daniel Kitzmann , Kevin Heng

BzScope is a Python package designed for efficiently calculating absolute cross sections of neutron-phonon inelastic scattering for crystalline powders in large phase spaces, addressing the limitations of traditional histogramming…

Computational Physics · Physics 2025-11-11 Ming Tang , Zi-Yi Pan , Ni Yang , Thomas Kittelmann , Xiao-Xiao Cai

We propose a novel indicator for chaotic quantum scattering processes, the scattering form factor (ScFF). It is based on mapping the locations of peaks in the scattering amplitude to random matrix eigenvalues, and computing the analog of…

High Energy Physics - Theory · Physics 2024-04-24 Massimo Bianchi , Maurizio Firrotta , Jacob Sonnenschein , Dorin Weissman

{The determination of cluster masses is a complex problem that would be aided by information about the cluster shape and orientation (along the line-of-sight).} {It is in this context, that we have developed a scheme for identifying the…

Astrophysics · Physics 2016-09-21 Dalia Chakrabarty , Elisabetta De Filippis , Helen Russell

Conditional density estimation (CDE) is a fundamental task in machine learning that aims to model the full conditional law $\mathbb{P}(\mathbf{y} \mid \mathbf{x})$, beyond mere point prediction (e.g., mean, mode). A core challenge is…

Machine Learning · Computer Science 2026-03-27 Chenglong Song , Mazharul Islam , Lin Wang , Bing Chen , Bo Yang

The R software package rSPDE contains methods for approximating Gaussian random fields based on fractional-order stochastic partial differential equations (SPDEs). A common example of such fields are Whittle-Mat\'ern fields on bounded…

Computation · Statistics 2025-02-28 David Bolin , Alexandre B. Simas

The optical properties of nanoparticles can be substantially affected by their assembly in compact aggregates. This is a common situation notably for nanoparticles synthesised and self-assembled into rigid clusters in colloidal form, where…

Optics · Physics 2022-04-27 Atefeh Fazel-Najafabadi , Baptiste Auguié

Seismic coda waves, once regarded as noise, are now recognized as key indicators of wave scattering in seismograms. Aki (1969) first proposed that these waves result from small-scale heterogeneities in the Earth's interior, spurring…

Geophysics · Physics 2025-07-11 Ning Liu , Wen-Tao Hu

In this work we investigated methods for the accurate and efficient incorporation of photometrically classified supernovae into cosmological analyses, and to assess the impact of the additional uncertainty associated with this procedure on…

Cosmology and Nongalactic Astrophysics · Physics 2026-05-19 Marcos P. Freaza , Ribamar R. R. Reis

Here we show explicitly the relationship between the functions used in the atomic pair distribution function (PDF) method and those commonly used in small angle scattering (SAS) analyses. The origin of the sloping baseline, $-4\pi r\rho_0$,…

Materials Science · Physics 2009-04-13 Christopher L. Farrow , Simon J. L. Billinge

Despite the widespread use of Scanning Transmission Electron Microscopy (STEM) for observing the structure of materials at the atomic scale, a detailed understanding of some relevant electron beam damage mechanisms is limited. Recent…

We propose a generic Scattering Power Factorization Framework (SPFF) for Polarimetric Synthetic Aperture Radar (PolSAR) data to directly obtain $N$ scattering power components along with a residue power component for each pixel. Each…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Debanshu Ratha , Eric Pottier , Avik Bhattacharya , Alejandro C. Frery

(abridged) We develop a tool for the automated spectral classification of OB stars according to their sub-types. We use the regular Random Forest (RF) algorithm, the Probabilistic RF (PRF), and we introduce the KDE-RF method which is a…

Solar and Stellar Astrophysics · Physics 2022-01-12 E. Kyritsis , G. Maravelias , A. Zezas , P. Bonfini , K. Kovlakas , P. Reig

The soft X-ray imager (SXI) on the SMILE mission uses two large 4510x4510 back illuminated CCD370s to detect X-rays in the 0.2-2 keV range. These devices take heritage from the optical imaging PLATO mission CCD270s and have been optimised…

Instrumentation and Detectors · Physics 2022-10-26 S. Parsons , D. Hall , T. Buggey , A. Holland , P. Verhoeve

DDSCAT 7.0 is an open-source Fortran-90 software package applying the discrete dipole approximation to calculate scattering and absorption of electromagnetic waves by targets with arbitrary geometries and complex refractive index. The…

Astrophysics · Physics 2009-03-10 B. T. Draine , P. J. Flatau

In this paper we show that the discrete Fourier transform can be performed by scattering a coherent particle or laser beam off a two-dimensional potential that has the shape of rings or peaks. After encoding the initial vector into the…

Mesoscale and Nanoscale Physics · Physics 2016-08-31 Michael N. Leuenberger , Daniel Loss , Michael E. Flatte , D. D. Awschalom

Bayesian model comparison frameworks can be used when fitting models to data in order to infer the appropriate model complexity in a data-driven manner. We aim to use them to detect the correct number of major episodes of star formation…

Astrophysics of Galaxies · Physics 2021-01-27 Andrew J. Lawler , Viviana Acquaviva
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