169 citations · 557 across the 20 of their papers we have counts for
21 papers
Image calibration between the Extreme Ultraviolet Imagers on Solar Orbiter and the Solar Dynamics Observatory
Christoph Schirninger, Robert Jarolim, Astrid M. Veronig +6
To study and monitor the Sun and its atmosphere, various space missions have been launched in the past decades. With the rapid improvement in technology and different mission requi…
Extreme-ultraviolet transient brightenings in the quiet-Sun corona : Closest-perihelion observations with Solar Orbiter/EUI
Nancy Narang, Cis Verbeeck, Marilena Mierla +9
The extreme-ultraviolet (EUV) brightenings identified by Solar Orbiter, commonly known as campfires, are the smallest transient brightenings detected to date outside active regions…
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050
R. M. McGranaghan, B. Thompson, E. Camporeale +14
Three main points: 1. Data Science (DS) will be increasingly important to heliophysics; 2. Methods of heliophysics science discovery will continually evolve, requiring the use of l…
Nonparametric monitoring of sunspot number observations: a case study
Sophie Mathieu, Laure Lefèvre, Rainer von Sachs +3
Solar activity is an important driver of long-term climate trends and must be accounted for in climate models. Unfortunately, direct measurements of this quantity over long periods…
The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes
Martin A. Reiss, Karin Muglach, Christian Möstl +16
Coronal holes are the observational manifestation of the solar magnetic field open to the heliosphere and are of pivotal importance for our understanding of the origin and accelera…
Coronal Hole Detection and Open Magnetic Flux
J. A. Linker, S. G. Heinemann, M. Temmer +14
Many scientists use coronal hole (CH) detections to infer open magnetic flux. Detection techniques differ in the areas that they assign as open, and may obtain different values for…
Nonparametric robust monitoring of time series panel data
Sophie Mathieu, Rainer von Sachs, Véronique Delouille +2
In many applications, a control procedure is required to detect potential deviations in a panel of serially correlated processes. It is common that the processes are corrupted by n…
Uncertainty quantification in sunspot counts
Sophie Mathieu, Véronique Delouille, Laure Lefèvre +2
Observing and counting sunspots constitutes one of the longest-running scientific experiment, with first observations dating back to Galileo and the invention of the telescope arou…
A Comparison of Flare Forecasting Methods. IV. Evaluating Consecutive-Day Forecasting Patterns
Sung-Hong Park, K. D. Leka, Kanya Kusano +21
A crucial challenge to successful flare prediction is forecasting periods that transition between "flare-quiet" and "flare-active". Building on earlier studies in this series (Barn…
A Comparison of Flare Forecasting Methods. III. Systematic Behaviors of Operational Solar Flare Forecasting Systems
K. D. Leka, Sung-Hong Park, Kanya Kusano +21
A workshop was recently held at Nagoya University (31 October - 02 November 2017), sponsored by the Center for International Collaborative Research, at the Institute for Space-Eart…
A Comparison of Flare Forecasting Methods. II. Benchmarks, Metrics and Performance Results for Operational Solar Flare Forecasting Systems
K. D. Leka, Sung-Hong Park, Kanya Kusano +21
Solar flares are extremely energetic phenomena in our Solar System. Their impulsive, often drastic radiative increases, in particular at short wavelengths, bring immediate impacts…
Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard
Pete Riley, Leila Mays, Jesse Andries +15
Accurate forecasting of the properties of coronal mass ejections as they approach Earth is now recognized as an important strategic objective for both NOAA and NASA. The time of ar…
Improvements on coronal hole detection in SDO/AIA images using supervised classification
Martin A. Reiss, Stefan J. Hofmeister, Ruben De Visscher +5
We demonstrate the use of machine learning algorithms in combination with segmentation techniques in order to distinguish coronal holes and filaments in SDO/AIA EUV images of the S…
Meta learning of bounds on the Bayes classifier error
Kevin R. Moon, Veronique Delouille, Alfred O. Hero
Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single bas…
Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization
Kevin R. Moon, Veronique Delouille, Jimmy J. Li +3
Separating active regions that are quiet from potentially eruptive ones is a key issue in Space Weather applications. Traditional classification schemes such as Mount Wilson and Mc…
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis
Kevin R. Moon, Jimmy J. Li, Veronique Delouille +3
The flare-productivity of an active region is observed to be related to its spatial complexity. Mount Wilson or McIntosh sunspot classifications measure such complexity but in a ca…
Non-parametric PSF estimation from celestial transit solar images using blind deconvolution
Adriana Gonzalez, Véronique Delouille, Laurent Jacques
Context: Characterization of instrumental effects in astronomical imaging is important in order to extract accurate physical information from the observations. The measured image i…
Image patch analysis and clustering of sunspots: a dimensionality reduction approach
Kevin R. Moon, Jimmy J. Li, Veronique Delouille +2
Sunspots, as seen in white light or continuum images, are associated with regions of high magnetic activity on the Sun, visible on magnetogram images. Their complexity is correlate…
The SPOCA-suite: a software for extraction and tracking of Active Regions and Coronal Holes on EUV images
Véronique Delouille, Benjamin Mampaey, Cis Verbeeck +1
Precise localisation and characterization of active regions and coronal holes as observed by EUV imagers are crucial for a wide range of solar and helio-physics studies. We describ…
A Multi-Wavelength Analysis of Active Regions and Sunspots by Comparison of Automated Detection Algorithms
Cis Verbeeck, Paul A. Higgins, Tufan Colak +4
Since the Solar Dynamics Observatory (SDO) began recording ~ 1 TB of data per day, there has been an increased need to automatically extract features and events for further analysi…
Quantifying and containing the curse of high resolution coronal imaging
Véronique Delouille, Pierre Chainais, Jean-François Hochedez
Future missions such as Solar Orbiter (SO), InterHelioprobe, or Solar Probe aim at approaching the Sun closer than ever before, with on board some high resolution imagers (HRI) hav…