HelioWebPetrus C. Martens
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A[Petrus C. Martens]
AC["Associated Concepts (16)"]
AW["Authored Works (46)"]
CA["Linked Co-Authors (6)"]
CI["Linked Collaborating Institutions (30)"]
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AW== author ==>CA
AW== affil ==>CI
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click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0001-8078-6856
- OpenAlex ID
- https://openalex.org/A5050485849 (API record)
Associated Concepts [?]
- Physics
- Quantum mechanics
- Astrophysics
- Astronomy
- Computer science
- Magnetic field
- Geology
- Geography
- Biology
- Nuclear physics
- Mathematics
- Plasma
- Engineering
- Solar wind
- Artificial intelligence
- Meteorology
Authored Works
sorted by decreasing year, and then by display-name
- The Preparation and Use of Machine Learning Ready Databases to Enhance the Scientific Analysis Capabilities of the Heliophysics Community
- Exploring Performance Trends of Simulated Real-time Solar Flare Predictions
- Which Verification Metrics Are Appropriate for Rare-Event Classification Problems?
- Prediction of Solar Energetic Particle Events Based on GOES Proton, Electron and X-ray Fluxes Time Series Data Using Machine Learning Techniques.
- New initiatives from the Solar Data Analysis Center
- Filament Chirality Detection using Machine Learning
- The SOHO/EIT solar flare catalog
- Forecasting Space Weather Hazards for Astronauts in Deep Space
- Chirality Classification for Space Weather Warnings
- The Faint Young Sun Paradox Mitigated by a Sustained Initial Massive Solar Wind
- Future Steps and an Architecture for Predicting the Solar End of Space Weather
- A Two Dimensional Prediction of Solar Cycle 25
- A Survery of the Correlation between Filament Chirality and Sigmoid Handedness
- Solar Data Mining at Georgia State University
- Development of a Homogenous Database of Bipolar Active Regions Spanning Four Cycles
- A 2D Discrete Surface Flux Transport (DSFT) model applied to polar and quiet sun regions.
- Predicting the Interplanetary Magnetic Field using Approaches Based on Data Mining and Physical Models
- Contextualizing Solar Cycle 24: Report on the Development of a Homogenous Database of Bipolar Active Regions Spanning Four Cycles
- First Science Results from Solar Data Mining Using Automated Feature Detection
- Constraining the Coronal Heating Mechanism Using Data from AIA, EIS, and Hi-C
- The Double-Ring Algorithm: A Tool for Assimilating Active Region Data Directly into Kinematic Dynamo Models
- Solar Physics Automated Feature Detection: Progress and Scientific Return
- Heliophysics Data Environment: What's next? (Invited)
- Accessing SDO data in a pipeline environment using the VSO WSDL/SOAP interface
- What do Solar Kinematic Models Tell us About the Current Minimum?
- The SDO Flare Detective
- Computer Vision for the Solar Dynamics Observatory
- Numerical Simulations of Power Law Heating Functions for Quiescent Loops: Stability and Observables
- Flare Loop Top Sources: A diagnostic for non-thermal particle injection
- Design Considerations for Data Catalogs
- Dealing with Large Dataset Queries in the Virtual Solar Observatory
- Callable Virtual Observatory Functionality: Sample Use Cases
- The current and future roles of virtual observatories serving the heliophysical data environment
- The Virtual Solar Observatory and the Heliophysics Meta-Virtual Observatory
- Stars as Suns: Unravelling Long-term Solar Variability by Stellar Dynamo Modeling
- Simulation of Hard X-ray Looptop Sources in Solar Flares
- TRACE and SXT Responses to Flare Simulations Using Combined Non-Thermal Particle and Hydrodynamic Modeling
- REU program in Solar Physics at Montana State University
- Flare Prediction and the Unresolved Corona
- Dynamics of Active Region Loops: Temperature Measurements as a function of Time
- STEREO in the Virtual Solar Observatory Context
- Doing Science with the VSO: Signatures of CME Initiation
- Virtual Solar Observatory Distributed Query Construction
- The Virtual Solar Observatory -- the Why, What, How and Where
- Data Integration in the Virtual Solar Observatory
- The Right Amount of Glue: Technologies and Standards Relevant to a Future Solar-Terrestrial Data Environment
Linked Co-Authors
Linked Collaborating Institutions
- ADNET Systems Inc., Greenbelt, Maryland
- American Astronomical Society, Washington DC
- Catholic University, Washington DC
- George Mason University, Virginia
- Georgia Southern University
- Georgia State University
- Georgia State University, Department of Physics and Astronomy
- Goddard Space Flight Center, Astrophysics Division
- Imperial College, London
- Indian Institute of Science Education and Research, Calcutta, India
- Lincoln University, Pennsylvania
- Lockheed Martin, Palo Alto
- Montana State University, Bozeman
- NASA Goddard Space Flight Center, Maryland
- National Oceanic and Atmospheric Administration, Boulder
- National Optical Astronomy Observatory, Arizona
- National Solar Observatory, Sunspot New Mexico
- National University of Colombia
- Predictive Science Inc., California
- RAL, Space Science and Technology Department
- Smithsonian Astrophysical Observatory
- Southwest Research Institute, Boulder
- Stanford University, California
- Stanford University, Department of Astronomy
- Stanford University, Department of Physics
- University College London, Mullard Space Science Laboratory
- University of California, Los Angeles, Institute of Geophysics and Planetary Physics
- University of Colorado, Boulder
- University of Dundee, UK
- University of New Hampshire
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