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Related papers: IONORT: IONOsphere Ray-Tracing - Ray-tracing progr…

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TIM (The Interactive METATOY) is a ray-tracing program specifically tailored towards our research in METATOYs, which are optical components that appear to be able to create wave-optically forbidden light-ray fields. For this reason, TIM…

Radio propagation modeling is essential in telecommunication research, as radio channels result from complex interactions with environmental objects. Recently, Machine Learning has been attracting attention as a potential alternative to…

Intuitive robot programming through use of tracked smart input devices relies on fixed, external tracking systems, most often employing infra-red markers. Such an approach is frequently combined with projector-based augmented reality for…

Robotics · Computer Science 2023-03-29 David Puljiz , Alexandru-George Vasilache , Michael Mende , Björn Hein

Ray tracing is a widely used technique for modeling optical systems, involving sequential surface-by-surface computations, which can be computationally intensive. We propose Ray2Ray, a novel method that leverages implicit neural…

Machine Learning · Computer Science 2025-07-29 Shiva Sinaei , Chuanjun Zheng , Kaan Akşit , Daisuke Iwai

Field line tracing is one of the fundamental computational tools used in the study of the magnetosphere, which helps in many areas including footprint mapping, connectivity analysis and real-time visualisation. This note describes an…

Geophysics · Physics 2025-12-23 Taylan Demir

Magnon interference is a signature of coherent magnon interactions for coherent information processing. In this work, we demonstrate programmable real-time magnon interference, with examples of nearly perfect constructive and destructive…

We present a new numerical method for calculating the transfer of ionizing radiation, called C^2-Ray=Conservative, Causal Ray-tracing method. The method is explicitly photon-conserving, so the depletion of ionizing photons by bound-free…

Astrophysics · Physics 2009-11-11 Garrelt Mellema , Ilian T. Iliev , Marcelo A. Alvarez , Paul R. Shapiro

In this work we develop a new algorithm for the efficient computation of the Voigt/complex error function. In particular, in this approach we propose a two-domain scheme where the number of the interpolation grid-points is dependent on the…

General Mathematics · Mathematics 2022-10-07 Sanjar M. Abrarov , Rehan Siddiqui , Rajinder K. Jagpal , Brendan M. Quine

We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons. The software exploits differentiable programming for the…

Sending massive Earth observation data produced by low Earth orbit (LEO) satellites back to the ground for processing consumes a large amount of on-orbit bandwidth and exacerbates the space-to-ground link bottleneck. Most prior work has…

Networking and Internet Architecture · Computer Science 2026-03-20 Jiangtao Luo , Bingbing Xu , Shaohua Xia , Yongyi Ran

General requirements for radar digital signal processing are ionospheric distortion and Doppler dispersion correction, which has historically required radar-specific hardware to implement in real time. Although analog solutions are…

Signal Processing · Electrical Eng. & Systems 2025-09-30 Daniel J. Vickers , A. H. Mack , Idahosa A. Osaretin

The HI 21cm global signal from the Cosmic Dawn and the Epoch of Reionization (EoR) offers critical insights into the evolution of our Universe. Yet, its detection presents significant challenges due to its extremely low…

Cosmology and Nongalactic Astrophysics · Physics 2024-04-09 Yue Wang , Xin Wang , Shijie Sun , Fengquan Wu , Shoudong Luo , Xuelei Chen

The Kassiopeia particle tracking framework is an object-oriented software package using modern C++ techniques, written originally to meet the needs of the KATRIN collaboration. Kassiopeia features a new algorithmic paradigm for particle…

We present a Python tool to generate a standard dataset from solar images that allows for user-defined selection criteria and a range of pre-processing steps. Our Python tool works with all image products from both the Solar and…

Solar and Stellar Astrophysics · Physics 2021-08-17 Carl Shneider , Andong Hu , Ajay K. Tiwari , Monica G. Bobra , Karl Battams , Jannis Teunissen , Enrico Camporeale

Recently, we reported an ion trap experiment with an integrated time-of-flight mass spectrometer (TOFMS) [Phys. Rev. Appl. 2, 034013 (2014)] focussing on the improvement of mass resolution and detection limit due to sample preparation at…

Atomic Physics · Physics 2016-01-20 Christian Schneider , Steven J. Schowalter , Peter Yu , Eric R. Hudson

Medical image registration is an active research topic and forms a basis for many medical image analysis tasks. Although image registration is a rather general concept specialized methods are usually required to target a specific…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Robin Sandkühler , Christoph Jud , Simon Andermatt , Philippe C. Cattin

Satellite-based remote sensing has revolutionised the way we address global challenges. Huge quantities of Earth Observation (EO) data are generated by satellite sensors daily, but processing these large datasets for use in ML pipelines is…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Matthew J Allen , Francisco Dorr , Joseph Alejandro Gallego Mejia , Laura Martínez-Ferrer , Anna Jungbluth , Freddie Kalaitzis , Raúl Ramos-Pollán

Ray-tracing is a central tool for constructing mock observations of compact object emission and for comparing physical emission models with observations. We present Arcmancer, a publicly available general ray-tracing and tensor algebra…

High Energy Astrophysical Phenomena · Physics 2018-08-29 Pauli Pihajoki , Matias Mannerkoski , Joonas Nättilä , Peter H. Johansson

MITNS (Multiple-Ion Transport Numerical Solver) is a new numerical tool designed to perform 1D simulations of classical cross-field transport in magnetized plasmas. Its detailed treatment of multi-species effects makes it a unique tool in…

Plasma Physics · Physics 2020-08-21 E. J. Kolmes , I. E. Ochs , N. J. Fisch

We present an automated approach for identifying magnetospheric regions using supervised machine learning techniques applied to Magnetospheric MultiScale mission data. Our method utilizes ion energy spectra, total magnetic field, total ion…

Space Physics · Physics 2025-10-02 Narges Ahmadi , Robert Ergun , Xiangning Chu , Alex Chasapis , Victoria Wilder