Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. I. Data Set Preparation
The accurate forecasting of solar flares is considered a key goal within the solar physics and space weather communities. There is significant potential for flare prediction to be improved by incorporating topological fluxes of magnetogram data sets, without the need to invoke three-dimensional magn...
Saved in:
Main Authors: | Thomas Williams, Christopher B. Prior, David MacTaggart |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | The Astrophysical Journal |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4357/ada600 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solar Flare Forecasting Using Hybrid Neural Networks
by: Dan Xu, et al.
Published: (2025-01-01) -
A 22 yr Cycle of the Network Topology of Solar Active Regions
by: Eduardo Flández, et al.
Published: (2025-01-01) -
X-Ray/Radio Quasiperiodic Pulsations Associated with Plasmoids in Solar Flare Current Sheets
by: Pankaj Kumar, et al.
Published: (2025-01-01) -
High-resolution Observations of an X-1.0 White-light Flare with Moving Flare Ribbons
by: Xu Yang, et al.
Published: (2025-01-01) -
Solar Flares Triggered by a Filament Peeling Process Revealed by High-resolution GST Hα Observations
by: Mia Mancuso, et al.
Published: (2025-01-01)