Embedded Files
Susan Delaney
My interdisciplinary research integrates astrophysics, plasma physics, resonance theory and systematic field observation to investigate structured light-field interactions in natural systems. Focusing on emergent coherence phenomena, I explore quantum resonance theory, nonlinear optics and electromagnetic field dynamics through both empirical documentation and theoretical modeling. This work supports the development of innovative frameworks describing atmospheric and photonic energy structuring, with particular attention to nonlocal, resonance-governed dynamics and mesoscale field coupling.
As a long-time published observer affiliated with the AAVSO, I contribute to planetary defense, heliophysics, and astrophysics through photometric analysis, structured fieldwork and classification efforts. My work spans academic collaborations, NASA-aligned initiatives and private-sector investigations, integrating machine learning, symbolic modeling and field-resonance theory to study plasma dynamics and structured field behavior across natural systems.
Recent findings establish a quantitative framework linking photonic coherence to mesoscale plasma dynamics and geophysical field structuring. These results support the interpretation of structured light phenomena (SLP) as emergent from nonlocal, dispersive field interactions that couple confined near-field coherence with propagating radiative structuring across atmospheric boundary-layer domains.
Through independent research, global collaboration and analytical tools, I seek to understand how light, energy and resonance may contribute to the organization and dynamic behavior of natural systems and the Cosmos.
Proceeds from my e-commerce site help support ongoing fieldwork, equipment costs and the open-access publication of independent scientific research. Please note that product purchases are not processed on this site. All sales are securely fulfilled externally at https://design.imagineittech.com powered by Fine Art America.
Scientific Research and Findings
The research publications present a comprehensive analysis of Structured Light Phenomena (SLP) as reproducible macroscopic coherence structures formed under geomagnetically stable, low-turbulence conditions. It synthesizes two years of independent fieldwork (2022–2023) with rigorous theoretical modeling, integrating plasma physics, nonlinear optical field theory, quantum field dynamics and electromagnetic tensor principles. The work characterizes photonic formations exhibiting radial symmetry, quantized spectral banding and harmonic spatial coherence.
Access the published manuscripts:
Zenodo. DOI: https://doi.org/10.5281/zenodo.15750986 (Published June 26, 2025)
Delaney, S. (2025). Structured Light Phenomena: Resonant Fields in Natural Systems. Zenodo.
DOI: https://doi.org/10.5281/zenodo.15328111 (Published May 2, 2025)
Delaney, S. (2025). Resonant Field Geometry in Nature: Structured Light Dynamics.Zenodo.
DOI: https://doi.org/10.5281/zenodo.15620234 (Published June 6, 2025)
(This version supersedes "Triadic Field Attractors and Resonant Symmetry in Nature")
Delaney, S. (2025). Acoustic-Photonic Resonance in Nature: Structured Light Dynamics. Zenodo.
DOI: https://doi.org/10.5281/zenodo.15665416 (Published June 15, 2025)
Empirical analysis and theoretical modeling of field-coupled acoustic and photonic dynamics. Watch this space for release details.
Research Domains: Astrophysics, Quantum Field Theory, Nonlinear Optics, Plasma Physics, Electromagnetic Resonance, Mathematical Physics, Geophysics and Space Weather, Consciousness and Field Dynamics, Symbolic Systems and Geometry, Theoretical Cosmology
Keywords: structured light, field coherence, mesoscale resonance, nonlinear optics, quantum field theory, symbolic field encoding, resonance field theory, nonlocal interactions, spontaneous symmetry breaking, photonic coherence, quantum coherence, mesoscale resonance, prime-indexed structures, modular arithmetic, nonlinear optics, cymatics, self-organization, quantum field theory, plasma dynamics, electromagnetic resonance, field-induced pattern formation, environmental field interactions
Research Type: Independent theoretical modeling, structured light field observations and empirical resonance analysis
Research Lead: Susan Delaney (Independent)
Published In: CERN's Zenodo Research Repository (DOI registered)
Licensed: Creative Commons Attribution 4.0 International Content may be shared or adapted with attribution to Susan Delaney
Research Project Participation
I engage with NASA, ESA and academic classification projects to access high-value datasets that directly inform my independent research in structured light phenomena, field resonance and theoretical astrophysics. These collaborations are mutually beneficial: my contributions advance institutional science while supporting the development of my own models and peer-reviewed publications. This work is a commitment to scientific discovery; contributions are voluntary. Proceeds from my e-commerce site help support ongoing fieldwork, equipment costs and the open-access publication of independent scientific research.
NASA Near-Earth Object Detection (CSS)
Detected and contributed classification data of minor planetary bodies through the NASA-funded Catalina Sky Survey (CSS) Minor Planet project. Leveraging high-resolution imaging, orbital tracking algorithms and AI-based classifiers, the survey contributes to NASA’s Planetary Defense Coordination Office (PDCO) by cataloging and confirming near-Earth asteroids while improving machine learning datasets used in planetary defense.
Boston Museum of Science – Featured AAVSO Solar Observation
AAVSO Solar Observer Award Recipient
As an AAVSO Solar Section observer, I contribute regular sunspot counts and solar classification data supporting solar cycle monitoring, geomagnetic forecasting and calculation of the American Relative Sunspot Number (Ra). This monthly solar metric serves as a global standard used extensively by international space agencies, NOAA space weather services, academic institutions, private industry and the broader scientific community.
Deep Sky Observations: Herschel 400, NGC, Messier & Beyond
Conduct systematic observational studies of extragalactic and galactic deep sky objects catalogued in the Herschel 400, NGC, Messier, Abell, Barnard, Harvard, Perek-Kohoutek, Sharpless, Stephenson and Stock catalogues. These include structured observations and morphological documentation of galaxies, open and globular star clusters, emission and reflection nebulae, supernova remnants and dark nebulae.
Custom GPT models developed
Developed domain-specific GPT-powered research tools for facilitating hypothesis generation, classification tasks and conceptual modeling in astrophysics and theoretical physics. Each model functions as an interactive learning environment designed to support simulation-based inquiry and advanced scientific reasoning:
"Cosmic Quest Adventure": A gamified research simulation fostering deductive logic and scientific exploration through virtual missions set in astrophysical environments.
"Cosmic Weaver": A visual-spatial ideation platform for modeling field-based interactions, coherence structures and nonlocal resonance patterns in emergent spacetime geometries.
"Astro Light Explorer": A photonic pattern recognition assistant designed to support interpretation of structured coherence signatures in atmospheric light phenomena and photometric field data.
Art, Light & Cosmic Form (e-commerce)
An artistic and photographic exploration, the artwork includes digital photography, abstract expressionism and impressionism. Each piece on my e-commerce website invites reflection and serves as a way to directly support ongoing independent research in astrophysics, resonance theory and structured light phenomena. Proceeds from my e-commerce site help support ongoing fieldwork, equipment costs and the open-access publication of independent scientific research. All artwork purchases are securely fulfilled through my external storefront hosted by Fine Art America at design.imagineittech.com.
Contributed to NASA’s heliophysics research by systematically identifying and classifying solar jet ejections in high-resolution Solar Dynamics Observatory (SDO) imagery. Contributions support the development of a comprehensive database of dynamic solar phenomena, advancing predictive modeling of solar-terrestrial interactions, space weather forecasting, and coronal mass ejection (CME) dynamics.
Planet Four: Ridges (NASA MRO/CTX) — Identification & Classification of Polygonal Ridge Networks
Contributed to planetary geomorphology research by identifying and classifying polygonal ridge networks in high-resolution Context Camera (CTX) imagery from NASA’s Mars Reconnaissance Orbiter. These spiderweb-like rectilinear ridge patterns, often located in Arabia Terra and Sinus Meridiani, provide insights into ancient Martian processes involving groundwater flow, volcanism, impact fracturing and erosion. Classifications support the mapping of inverted terrains and are used to investigate correlations with Noachian aged surfaces, hydrated minerals and fine grained deposits. This work informs planetary evolution models and guides high priority target selection for future high resolution imaging missions.
NASA CosmoQuestX Mars Mappers feature identification & classification
Contributed to geospatial planetary analysis by identifying and classifying surface features in high resolution Mars datasets. Focused on detecting dune covered regions with potential volcanic activity to support the search for biosignatures and refine candidate zones for life detection missions.
NASA CosmoQuestX Moon Mappers feature identifiction & classification
Supported lunar science initiatives through systematic identification and classification of impact craters, domes, ejecta flows and anomalous surface formations in high resolution lunar imagery. Contributions aid in lunar geologic modeling and are integrated into topographic and morphological lunar atlases used in planetary geology research.
NASA CosmoquestX Bennu Mappers feature identification & classification
Assisted the OSIRIS-REx mission by identifying and classifying rocks, boulders and craters in spacecraft-returned images of asteroid Bennu. These efforts supported site selection for sample return and mission safety. Participated in a collaborative dataset comprising over 14 million annotations contributed by 3,500+ volunteers under NASA-supported research.
NASA Globe Cloud Challenge Certificate Recipient
Engaged in atmospheric science by classifying cloud formations using Earth-based and satellite-derived imagery. Contributed observational data to refine Earth system models by enhancing the fidelity of cloud-radiative forcing simulations and surface–atmosphere energy balance calculations.
Dark Energy and Galaxy Morphology (Galaxy Zoo/DECaLS)
Contributed classification data and analysis of galaxies using DECaLS and SDSS datasets. Tasks included identifying and classifying spiral structure, merger signatures, bar formations and edge-on disk systems to aid in constraining models of galaxy evolution and probing large-scale structure related to dark energy dynamics.
Contributed to astrophysics and particle detection research by identifying and classifying Cherenkov light patterns specifically muon rings in observational data from the VERITAS array (Very Energetic Radiation Imaging Telescope Array System). These classifications help distinguish background muon signals from gamma ray induced air showers, refining algorithms used to filter and reconstruct high energy astrophysical events. Human identification of ambiguous or overlapping rings improves machine learning model performance, enhancing the accuracy of studies on gamma-ray sources such as supernova remnants, active galactic nuclei and dark matter annihilation regions.
Gravitational Lensing & Feature Classification and AI Training
Contributed to deep-field gravitational lensing surveys by identifying strong lensing arcs and Einstein rings in optical and near-infrared astronomical imagery. These classifications support constraints on key cosmological parameters, including dark matter distribution, dark energy models and the Hubble constant, through time delay lensing analysis and photometric redshift estimation. Participation also advanced human-AI collaboration by training machine learning models to improve automated lens detection in support of ESA’s Euclid mission and the ASTERICS Horizon 2020 initiative.
Document and classify native flora, lichens, ferns, seaweed and unique geological formations across diverse ecological zones. Submissions verified as Research Grade via the iNaturalist platform contribute to Smithsonian and academic databases, supporting studies in botany, geology and Earth science systems.
Custom GPT models I developed for scientists and artists
"Cosmic Quest Adventure": An interactive research game
"Cosmic Weaver": An art assistant for visualizing a timeless, spatial universe
"Astro Light Explorer:" An expert-level astronomy research assistant
Page updated
Google Sites
Report abuse