25 citations · 50 across the 8 of their papers we have counts for
8 papers
HiSAXy: A fast methodology for solar wind structure identification in millions of time series
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +8
We present a hybridized unsupervised clustering algorithm Hisaxy as a novel way to identify frequently occurring magnetic structures embedded in the interplanetary magnetic field (…
Classifying different types of solar wind plasma with uncertainty estimations using machine learning
Tom Narock, Sanchita Pal, Aryana Arsham +2
Decades of in-situ solar wind measurements have clearly established the variation of solar wind physical parameters. These variable parameters have been used to classify the solar…
Automatic detection of large-scale flux ropes and their geoeffectiveness with a machine learning approach
Sanchita Pal, Luiz F. G. dos Santos, Andreas J. Weiss +5
Detecting large-scale flux ropes (FRs) embedded in interplanetary coronal mass ejections (ICMEs) and assessing their geoeffectiveness are essential since they can drive severe spac…
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory
John C. Dorelli, Chris Bard, Thomas Y. Chen +11
Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models. Modern deep learning technology is begi…
Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures
Hala Lamdouar, Sairam Sundaresan, Anna Jungbluth +9
The solar wind consists of charged particles ejected from the Sun into interplanetary space and towards Earth. Understanding the magnetic field of the solar wind is crucial for pre…
Identification of Flux Rope Orientation via Neural Networks
Thomas Narock, Ayris Narock, Luiz F. G. Dos Santos +1
Geomagnetic disturbance forecasting is based on the identification of solar wind structures and accurate determination of their magnetic field orientation. For nowcasting activitie…
Direct First PSP Observation of the Interaction of Two Successive Interplanetary Coronal Mass Ejections in November 2020
Teresa Nieves-Chinchilla, Nathalia Alzate, Hebe Cremades +18
We investigate the effects of the evolutionary processes in the internal magnetic structure of two interplanetary coronal mass ejections (ICMEs) detected in situ between 2020 Novem…
Identifying Flux Rope Signatures Using a Deep Neural Network
Luiz F. G. dos Santos, Ayris Narock, Teresa Nieves-Chinchilla +2
Among the current challenges in Space Weather, one of the main ones is to forecast the internal magnetic configuration within Interplanetary Coronal Mass Ejections (ICMEs). Current…