activity
20082025
most citedSolar Cycle Propagation, Memory, and Prediction: Insights from a Century of Magnetic Proxies

163 citations · 1.3k across the 35 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

astro-ph.SR2023

MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach

Kimberly Moreland, Maher Dayeh, Hazel M. Bain +3

We introduce a new multivariate data set that utilizes multiple spacecraft collecting in-situ and remote sensing heliospheric measurements shown to be linked to physical processes…

astro-ph.SR2023

MEMPSEP I : Forecasting the Probability of Solar Energetic Particle Event Occurrence using a Multivariate Ensemble of Convolutional Neural Networks

Subhamoy Chatterjee, Maher Dayeh, Andrés Muñoz-Jaramillo +3

The Sun continuously affects the interplanetary environment through a host of interconnected and dynamic physical processes. Solar flares, Coronal Mass Ejections (CMEs), and Solar…

astro-ph.SR2023★ 4 cited

MEMPSEP II. -- Forecasting the Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach

Maher A. Dayeh, Subhamoy Chatterjee, Andres Munoz-Jaramillo +3

Solar Energetic Particles (SEPs) form a critical component of Space Weather. The complex, intertwined dynamics of SEP sources, acceleration, and transport make their forecasting ve…

astro-ph.SR2023

Probabilistic solar flare forecasting using historical magnetogram data

Kiera van der Sande, Andrés Muñoz-Jaramillo, Subhamoy Chatterjee

Solar flare forecasting research using machine learning (ML) has focused on high resolution magnetogram data from the SDO/HMI era covering Solar Cycle 24 and the start of Solar Cyc…

astro-ph.SR2023★ 4 cited

Efficient labeling of solar flux evolution videos by a deep learning model

Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Derek A. Lamb

Machine learning (ML) is becoming a critical tool for interrogation of large complex data. Labeling, defined as the process of adding meaningful annotations, is a crucial step of s…

astro-ph.SR2023

Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach

Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Maher Dayeh +2

Extreme Ultraviolet images of the Sun are becoming an integral part of space weather prediction tasks. However, having different surveys requires the development of instrument-spec…