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Showing 17 results for "astrophysics" in Engineering
Engineering Preprint PDF DOI

GPU-Native Compressed Neighbor Lists with a Space-Filling-Curve Data Layout

Felix Thaler, Sebastian Keller ยท 2026

We have developed a compressed neighbor list for short-range particle-particle interaction based on a space- filling curve (SFC) memory layout and particle clusters. The neighbor list can be constructโ€ฆ

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Engineering Preprint PDF DOI

Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry

Jaewoong Jang ยท 2024

Radionuclide identification is a radioanalytical method employed in various scientific disciplines that utilize alpha-particle or gamma-ray spectrometric assays, ranging from astrophysics to nuclear mโ€ฆ

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Engineering Preprint PDF DOI

The European Moon Rover System: a modular multipurpose rover for future complex lunar missions

Cristina Luna, Manuel Esquer, Jorge Barrientos-Diez, Alba Guerra, Marina L. Seoane, Inaki Colmenarejo, Steven Kay, Angus Cameron, Carmen Camanes, Inigo Sard, Danel Juarez, Alessandro Orlandi, Federica Angeletti, Vassilios Papatoniou, Ares Papantoniou, Spiros Makris, Armin Wedler, Bernhard Rebele, Jennifer Reynolds, Markus Landgraf ยท 2023

This document presents the study conducted during the European Moon Rover System Pre-Phase A project, in which we have developed a lunar rover system, with a modular approach, capable of carrying out โ€ฆ

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Engineering Preprint PDF DOI

Modularity for lunar exploration: European Moon Rover System Pre-Phase A Design and Field Test Campaign Results

Cristina Luna, Jorge Barrientos-Diez, Manuel Esquer, Alba Guerra, Marina Lopez-Seoane, Inaki Colmenarejo, Fernando Gandia, Steven Kay, Angus Cameron, Carmen Camanes, Inigo Sard, Danel Juarez, Alessandro Orlandi, Federica Angeletti, Vassilios Papantoniou, Ares Papantoniou, Spiros Makris, Bernhard rebele, Armin Wedler, Jennifer Reynolds, Markus Landgraf ยท 2023

The European Moon Rover System (EMRS) Pre-Phase A activity is part of the European Exploration Envelope Programme (E3P) that seeks to develop a versatile surface mobility solution for future lunar misโ€ฆ

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Engineering Preprint PDF DOI

A Physics based Machine Learning Model to characterize Room Temperature Semiconductor Detectors in 3D

Srutarshi Banerjee, Miesher Rodrigues, Manuel Ballester, Alexander H. Vija, Aggelos K. Katsaggelos ยท 2023

Room temperature semiconductor radiation detectors (RTSD) for X-ray and gamma-ray detection are vital tools for medical imaging, astrophysics and other applications. CdZnTe (CZT) has been the main RTSโ€ฆ

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Engineering Preprint PDF DOI

Astrometric Calibration and Source Characterisation of the Latest Generation Neuromorphic Event-based Cameras for Space Imaging

Nicholas Owen Ralph, Alexandre Marcireau, Saeed Afshar, Nicholas Tothill, Andre van Schaik, Gregory Cohen ยท 2022

As an emerging approach to space situational awareness and space imaging, the practical use of an event-based camera in space imaging for precise source analysis is still in its infancy. The nature ofโ€ฆ

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Engineering Preprint PDF DOI

Semi-Blind Source Separation with Learned Constraints

Remi Carloni Gertosio, Jerome Bobin, Fabio Acero ยท 2022

Blind source separation (BSS) algorithms are unsupervised methods, which are the cornerstone of hyperspectral data analysis by allowing for physically meaningful data decompositions. BSS problems beinโ€ฆ

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Engineering Preprint PDF DOI

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

Theo Bodrito (Thoth, Inria, UGA, CNRS, Grenoble INP, LJK), Alexandre Zouaoui (Thoth, Inria, UGA, CNRS, Grenoble INP, LJK), Jocelyn Chanussot (Thoth, Inria, UGA, CNRS, Grenoble INP, LJK), Julien Mairal (Thoth, Inria, UGA, CNRS, Grenoble INP, LJK) ยท 2021

Hyperspectral imaging offers new perspectives for diverse applications, ranging from the monitoring of the environment using airborne or satellite remote sensing, precision farming, food safety, planeโ€ฆ

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Engineering Preprint PDF DOI

Joint deconvolution and unsupervised source separation for data on the sphere

Remi Carloni Gertosio, Jerome Bobin ยท 2020

Tackling unsupervised source separation jointly with an additional inverse problem such as deconvolution is central for the analysis of multi-wavelength data. This becomes highly challenging when applโ€ฆ

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Engineering Preprint PDF DOI

Transient Classification in low SNR Gravitational Wave data using Deep Learning

Rahul Nigam, Amit Mishra, Pranath Reddy ยท 2020

The recent advances in Gravitational-wave astronomy have greatly accelerated the study of Multimessenger astrophysics. There is a need for the development of fast and efficient algorithms to detect noโ€ฆ

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Engineering Preprint PDF DOI

High-resolution Multi-spectral Imaging with Diffractive Lenses and Learned Reconstruction

Figen S. Oktem, Oguzhan Fatih Kar, Can Deniz Bezek, Farzad Kamalabadi ยท 2020

Spectral imaging is a fundamental diagnostic technique with widespread application. Conventional spectral imaging approaches have intrinsic limitations on spatial and spectral resolutions due to the pโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Convergence Prediction of Astrobots Swarms

Matin Macktoobian, Francesco Basciani, Denis Gillet, Jean-Paul Kneib ยท 2020

Astrobots are robotic artifacts whose swarms are used in astrophysical studies to generate the map of the observable universe. These swarms have to be coordinated with respect to various desired obserโ€ฆ

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Engineering Preprint PDF DOI

A Smoothed Particle Hydrodynamics Mini-App for Exascale

Aurelien Cavelan, Ruben M. Cabezon, Michal Grabarczyk, Florina M. Ciorba ยท 2020

The Smoothed Particles Hydrodynamics (SPH) is a particle-based, meshfree, Lagrangian method used to simulate multidimensional fluids with arbitrary geometries, most commonly employed in astrophysics, โ€ฆ

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Engineering Preprint PDF DOI

An efficient numerical method for a long-term simulation of heat and mass transfer: the case of an insulated rammed earth wall

Madina Abdykarim, Julien Berger, Denys Dutykh, Amen Agbossou ยท 2019

Innovative numerical scheme studied in this work enables to overcome two main limitations of Building Performance Simulation (BPS) programs as high computational cost and the choice of a very fine numโ€ฆ

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Engineering Preprint PDF DOI

From Stars to Patients: Lessons from Space Science and Astrophysics for Health Care Informatics

S. G. Djorgovski, A. A. Mahabal, D. Crichton, B. Chaudhry ยท 2015

Big Data are revolutionizing nearly every aspect of the modern society. One area where this can have a profound positive societal impact is the field of Health Care Informatics (HCI), which faces manyโ€ฆ

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Engineering Preprint PDF DOI

Programing Using High Level Design With Python and FORTRAN: A Study Case in Astrophysics

Eduardo dos Santos Pereira, Oswaldo D. Miranda ยท 2012

In this work, we present a short review about the high level design methodology (HLDM), that is based on the use of very high level (VHL) programing language as main, and the use of the intermediate lโ€ฆ

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Engineering Preprint PDF DOI

OGCOSMO: An auxiliary tool for the study of the Universe within hierarchical scenario of structure formation

Eduardo dos Santos Pereira, Oswaldo D. Miranda ยท 2012

In this work is presented the software OGCOSMO. This program was written using high level design methodology (HLDM), that is based on the use of very high level (VHL) programing language as main, and โ€ฆ

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