HSAG
CONSORTIUM
For Resonant Research
About the founder
Earl Dixon is an independent researcher and founder of the HSAG Consortium for Resonant Research.
His work focuses on developing empirical, computation-ready diagnostics that bridge raw observational data, physical intuition, and data-driven analysis. Recent work includes the Resonance Capacity Index (RCI) — a scalar diagnostic designed to quantify oscillation suppression in strongly magnetized solar regions using standard SDO/HMI data products.
Earl’s approach emphasizes:
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Grounding inference in measurement
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Avoiding unnecessary theoretical assumptions
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Treating computation itself as a scientific instrument
HSAG was founded to provide a publication-first, open framework for developing and sharing such diagnostics outside traditional institutional constraints, while remaining fully compatible with academic collaboration and peer review.
About the HSAG Consortium for Resonant Research
The HSAG Consortium for Resonant Research is an independent scientific initiative focused on the development of resonance-based diagnostics, coherence metrics, and computation-ready observational methods across physical systems.
Our work sits at the intersection of:
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Observational data analysis
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Signal coherence and suppression diagnostics
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Computational modeling
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Applied inference from real-world measurements
Rather than beginning with speculative unification or abstract theory, HSAG emphasizes measurable structure — patterns that emerge directly from existing data and can be tested, replicated, and extended using standard scientific tools.
Primary application domains currently include:
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Solar physics and heliophysics
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Magnetohydrodynamic (MHD) environments
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Atmospheric and environmental systems
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Coherent signal diagnostics in complex fields
All HSAG methods are designed to be instrument-agnostic wherever possible, leveraging publicly available datasets such as NASA SDO/HMI, NOAA archives, and other open observational sources.
Research Approach
HSAG operates on a simple guiding principle:
If a physical process is real, it should leave a measurable imprint.
Our work focuses on extracting compact scalar diagnostics from complex systems — quantities that summarize suppression, coherence, or structural tension without requiring full-scale simulation or model inversion.
This approach prioritizes:
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Observable-first methodology
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Mathematical transparency
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Computational reproducibility
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Diagnostics that complement (not replace) established physical models
Rather than competing with large-scale simulations, HSAG metrics are intended to augment interpretation, highlight transitions, and provide early indicators of structural change.
All published methods are released with sufficient detail to allow independent verification and reimplementation.
Independence Collaboration
HSAG operates as an independent research entity, which allows for rapid development, early dissemination, and open exploration of observational methods.
At the same time, the Consortium actively welcomes collaboration with:
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Universities and research institutes
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Observatory and instrumentation teams
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Data science and applied physics groups
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Environmental and space-weather researchers
All work is released with the explicit invitation for replication, critique, and cross-domain application.
HSAG exists to make complex physical structure measurable first — and interpretable second.