75 citations · 334 across the 12 of their papers we have counts for
12 papers
Machine Learning Approaches to Solar-Flare Forecasting: Is Complex Better?
Varad Deshmukh, Srinivas Baskar, Elizabeth Bradley +2
Recently, there has been growing interest in the use of machine-learning methods for predicting solar flares. Initial efforts along these lines employed comparatively simple models…
Decreasing False Alarm Rates in ML-based Solar Flare Prediction using SDO/HMI Data
Varad Deshmukh, Natasha Flyer, Kiera Van Der Sande +1
A hybrid two-stage machine learning architecture that addresses the problem of excessive false positives (false alarms) in solar flare prediction systems is investigated. The first…
Measuring the magnetic origins of solar flares, CMEs and Space Weather
Philip Judge, Matthias Rempel, Rana Ezzeddine +11
We take a broad look at the problem of identifying the magnetic solar causes of space weather. With the lackluster performance of extrapolations based upon magnetic field measureme…
Calibrating GONG Magnetograms with End-to-end Instrument Simulation II: Theory of Calibration
Joseph Plowman, Thomas Berger
This is the second of three papers describing an `absolute' calibration of the GONG magnetograph using an end-to-end simulation of its measurement process. In the first paper, we d…
Calibrating GONG Magnetograms with End-to-end Instrument Simulation I: Background, the GONG Instrument, and End-to-end Simulation
Joseph Plowman, Thomas Berger
This is the first of three papers describing an `absolute' calibration of the GONG magnetograph using an end-to-end simulation of its measurement process. The input to this simulat…
Calibrating GONG Magnetograms with End-to-end Instrument Simulation III: Comparison, Calibration, and Results
Joseph Plowman, Thomas Berger
This is the last of three papers describing an `absolute' calibration of the GONG magnetograph using and end-to-end simulation of its measurement process. The simulation begins wit…