114 citations · 275 across the 12 of their papers we have counts for
12 papers
Role of SKA in Advancing Remote Measurements of Magnetic Fields of Solar Coronal Mass Ejections
Devojyoti Kansabanik, Surajit Mondal, Shaheda Begum Shaik +13
Coronal Mass Ejections (CMEs) are large expulsions of magnetized plasma from the Sun into interplanetary space and are the primary drivers of extreme space weather variations. The…
t-STEP: An interpretable model for Total Electron Content predictions and irregularities estimations
Stephen Tete, Carl Shneider, Maxime Cordy +3
Earth system infrastructures relying on satellite-based technologies, such as Global Positioning System (GPS) communications, are affected by ionospheric Total Electron Content (TE…
Impact of Disentanglement on Pruning Neural Networks
Carl Shneider, Peyman Rostami, Anis Kacem +3
Deploying deep learning neural networks on edge devices, to accomplish task specific objectives in the real-world, requires a reduction in their memory footprint, power consumption…
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects
Leo Pauly, Wassim Rharbaoui, Carl Shneider +3
Estimating the pose of an uncooperative spacecraft is an important computer vision problem for enabling the deployment of automatic vision-based systems in orbit, with applications…
Probabilistic prediction of Dst storms one-day-ahead using Full-Disk SoHO Images
A. Hu, C. Shneider, A. Tiwari +1
We present a new model for the probability that the Disturbance storm time (Dst) index exceeds -100 nT, with a lead time between 1 and 3 days. provides essential information…
The data-driven future of high energy density physics
Peter W. Hatfield, Jim A. Gaffney, Gemma J. Anderson +20
The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fu…
A Machine-Learning-Ready Dataset Prepared from the Solar and Heliospheric Observatory Mission
Carl Shneider, Andong Hu, Ajay K. Tiwari +4
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…
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker +5
This report documents ideas for improving the field of machine learning, which arose from discussions at the ML Retrospectives workshop at NeurIPS 2019. The goal of the report is t…
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics & Losses
Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney +7
Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation. Studies of the magnetic field of the Sun, and its influence on…
Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties
Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth +7
Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient. However in many scientific do…
Constraining regular and turbulent magnetic field strengths in M51 via Faraday depolarization
Carl Shneider, Marijke Haverkorn, Andrew Fletcher +1
We employ an analytical model that incorporates both wavelength-dependent and wavelength-independent depolarization to describe radio polarimetric observations of polarization at $…
Depolarization of synchrotron radiation in a multilayer magneto-ionic medium
Carl Shneider, Marijke Haverkorn, Andrew Fletcher +1
Depolarization of diffuse radio synchrotron emission is classified in terms of wavelength-independent and wavelength-dependent depolarization in the context of regular magnetic fie…