Diagnosing Architecture in Exoplanetary Systems

Diagnosing Architecture in Exoplanetary Systems | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 19 February 2026 V1 Latest version Share on Diagnosing Architecture in Exoplanetary Systems Author : Peter Brunzelle 0009-0005-7109-6745 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.177153458.83597220/v1 113 views 84 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Comparative studies of exoplanetary systems have revealed substantial diversity in orbital spacing, dynamical excitation, mass distribution, and resonant structure. Existing approaches typically examine these architectural dimensions independently or embed them within forward dynamical or formation models that impose strong assumptions. Here we introduce SEA-X, an extension of the Synthesis & Estimation Architecture (SEA), providing a physics-light, datadriven framework for diagnosing architectural coherence across observed exoplanetary systems. SEA-X represents each planetary system using a minimal latent architectural state vector capturing spacing organization, orbital excitation, mass hierarchy, and resonance structure. Architectural coherence is quantified through coverage-weighted consistency metrics computed directly from catalog observables, without enforcing dynamical stability thresholds or formation priors. Detailed algorithmic definitions for all latent dimensions and coherence sub-metrics are provided to ensure full reproducibility. Applying SEA-X to current exoplanet catalogs demonstrates that compact multi-planet systems and resonant chains exhibit high architectural coherence, Solar System-like architectures occupy a moderate coherence regime due to wide orbital spacing despite low excitation, and dynamically hot or weakly constrained systems show low coherence. These results are robust under bootstrap resampling, data-masking experiments, and detection-bias stress tests, including artificial incompleteness injection and comparisons across detection-method subsamples. SEA-X complements existing statistical and dynamical analyses by providing an integrative diagnostic layer for planetary architectures. The framework enables systematic classification, comparison, and anomaly detection across large exoplanet ensembles while remaining agnostic to specific formation pathways or long-term stability models. Coherence is explicitly a non-normative diagnostic, quantifying internal consistency rather than ranking systems as intrinsically "better" or "worse." This paper forms part of a broader series developing the Synthesis & Estimation Architecture (SEA) as a domain-general framework for coherence-based diagnostics and observability-limited inference across planetary and astrophysical systems. Supplementary Material File (diagnosing_architecture_in_exoplanetary_systems (2).pdf) Download 207.97 KB Information & Authors Information Version history V1 Version 1 19 February 2026 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords architectural coherence assumption-light modeling coherence-based diagnostics comparative exoplanet analysis data-driven framework ensemble diagnostics exoplanetary system architecture multi-planet systems nasa exoplanet archive orbital excitation orbital spacing planetary system classification sea Authors Affiliations Peter Brunzelle 0009-0005-7109-6745 [email protected] Independent Researcher View all articles by this author Metrics & Citations Metrics Article Usage 113 views 84 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Peter Brunzelle. Diagnosing Architecture in Exoplanetary Systems. Authorea . 19 February 2026. 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