About

The Center for HelioAnalytics is an “expert group” focusing on topics such as machine learning, neural networks, and data analytics in order to expand the discovery potential for key heliophysics research topics and missions.

What is HelioAnalytics?

Heliophysics + Machine Learning + Statistics + Information Design

Each of these are fields that are well developed in their own right.

HelioAnalytics is the cross-disciplinary convergence of communities of physicists, statisticians, and computer scientists. It is intended to foster research into advanced methodologies for heliophysical research, and to promulgate such methods into the broader community.

Frontier data analytics includes, but is not limited to:

Clustering, Classification & Pattern Recognition

• Cluster Analysis
• Support Vector Machines/Hyperplane Classifiers
• Random (Decision) Forests

Deep Learning

• Machine Learning (Supervised vs. Unsupervised)
• Convolutional and recursive neural nets

Filtering

• Feature Recognition/Computer Vision
• Noise Reduction/Gating/Filtering

Statistical Inference & Sampling

• Source Separation/Source Reconstruction
• Bayesian Statistics & Methods
• Sparsity and structured sparsity
• Metrology
• Markov Chain/Monte Carlo Methods

Time Series Analysis

• Kalman Filtering
• Auto/Cross-Correlation
• Data Assimilation Methods
• Measurement Heteroscedasticity

Multivariate Analysis

• Robustness/Skill Score Analysis/Error Analysis
• Model Validation/Verification

Data Visualization and Representation

• Representation and computer vision
• Data presentation skills and best practices
• Virtual reality as an advanced analysis tool for deeper understanding
• Use of color tables, color vs. black/white perception

Software/Tool Development

• GPU Computing
• Open Source (e.g. Python) Software/Tool Development
• Support tools & shortcuts (such as web resources, handy software)