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

36 papers

astro-ph.SR2025

Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions

Subhamoy Chatterjee, Andres Munoz-Jaramillo, Anna Malanushenko

Deep generative models have shown immense potential in generating unseen data that has properties of real data. These models learn complex data-generating distributions starting fr…

astro-ph.SR2025★ 21 cited

Revisiting Christoph Scheiner's Sunspot Records: a New Perspective on Solar Activity of the Early Telescopic Era

V. M. S. Carrasco, A. Muñoz-Jaramillo, M. C. Gallego +1

Christoph Scheiner was one of the most outstanding astronomers in the history of the sunspot observations. His book, Rosa Ursina, is the reference work regarding the study of the e…

astro-ph.SR2024

Virtual EVE: a Deep Learning Model for Solar Irradiance Prediction

Manuel Indaco, Daniel Gass, William James Fawcett +3

Understanding space weather is vital for the protection of our terrestrial and space infrastructure. In order to predict space weather accurately, large amounts of data are require…

astro-ph.SR2024★ 9 cited

SuNeRF: 3D reconstruction of the solar EUV corona using Neural Radiance Fields

Robert Jarolim, Benoit Tremblay, Andrés Muñoz-Jaramillo +8

To understand its evolution and the effects of its eruptive events, the Sun is permanently monitored by multiple satellite missions. The optically-thin emission of the solar plasma…

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…