SABID 2024: Workshop on Solar & Stellar Astronomy Big Data

A Workshop in IEEE Big Data 2024

Introduction

Solar, and by extension, stellar, activity is key to understanding the habitability of a planetary system. For example, it is unlikely that Earth would be habitable if the Sun were a T-Tauri rather than a G-type star. As a stable middle-aged star with a convective envelope, the Sun has settled into a roughly 22-year semi-periodic pattern of magnetic activity with only occasional major flare events. However, disruptions to this pattern, such as prolonged activity minima (i.e. Maunder minimum), have affected the climate, while unusually high levels of activity (i.e., the October-November 2003 period) can impact critical space infrastructure with worldwide consequences. Understanding long-term solar activity is beneficial to our society that is deeply entrenched in a technological age.

In order to extract societal and astrophysical relevant information from the myriad sources of observations, the development of many new processing algorithms is often required. Even with the deluge of petabytes of data retrieved from the fleet of observational tools available, these algorithms are often required to extract physical information from sparse data; an AI topic that is often overlooked in the age of Big Data science, yet, forms the main challenge in many, if not the majority, of astrophysics problems.

This workshop seeks to attract the interest of Big Data and Solar/Stellar Astrophysics researchers working to solve such problems in Solar & Stellar Astronomy Big Data, and solicits them to submit their research for publication. Innovative data mining and the application of big data-driven modeling techniques in these fields, including artificial intelligence and deep learning, are poised to address open research questions ranging from solar weather predictability to our place in the Universe.

Topics

The topics include but are not limited to the following:

Managing the Flood of Solar & Stellar Astronomy Big Data

  • New Computational Models for Storage, Distribution, Processing and Mining of Astronomy Data
  • Evaluation of Information Quality for Astronomy Data from Telescopes, as well as Derived Data Products (Meta‐Data)
  • New Scientific Standards for Information Processing and Mining, and Their Quality Evaluation
  • System Architectures, Design, and Deployment of Solar and Stellar Astronomy Data Archives, Portals, and Analytical Services
  • Data Management and Stream Mining for Astronomy Data in Cloud and Distributed Environments
  • Integration of Heterogeneous Information from Multiple Data Repositories for Knowledge Discovery from these Databases

Solar & Stellar Astroinformatics and Astrostatistics

  • New Computational Models for Search, Retrieval, and Mining of Astronomy Data
  • Scalable Algorithms and Systems for Solar Activity Recognition (e.g. Computer Vision) from Solar Data Repositories
  • Efficient Data Selection, Machine‐Learning, and Triage Techniques
  • Solar & Stellar Astronomy Data Search Architectures, their Scalability, Efficiency, and Real‐life Usefulness
  • Visualization and Interaction Tools for Large Astronomy Databases
  • Computational Astrostatistics (e.g. irregularly sampled data, multivariate and survival analysis, nonlinear regression, etc.)
  • Hyperspectral Imaging: Technologies and Techniques
  • Image Processing for Unbiased Image, Spatial, and Time Series Analysis
  • Cloud‐, Distributed‐, and Stream‐Data Mining for High Velocity Astronomy Data
  • Semantic‐based Solar Data Mining from Heterogeneous Data in Astronomy
  • Multimedia, Multi‐structured, and Spatiotemporal Astronomy Data Mining
  • Physics-informed big data mining and modeling techniques for Solar & Stellar astronomy

Applications Related to Solar & Stellar Big Data Management and Mining

  • Complex Space Weather Applications in Science, Engineering, Education, Navigation
  • Power Grids, and Telecommunication for Government, Public and Private Industry Sectors
  • New Real-life Case Studies of Big Solar Data Mining (e.g. Space Weather)
  • Experiences with Big Data Mining Project Deployments in Solar Physics Successful Crowdsourced Scientific Research (e.g. Zooniverse)
  • Solar and Stellar Astronomy Data and Knowledge Distribution in the Social Web

Enhancing the Solar-Stellar Connection with Big Data

  • Surveys of Millions of Suns – Is the Sun a Typical Sun-like Star?
  • Helioseismology and Asteroseismology
  • Flares, Planets, and Supernovae – Identifying Transient/Periodic Events in Time Series Data
  • Solar and Stellar Dynamo Modeling