Structural Non-Closure in Galactic Rotation Curves: A Regime-Dependent Diagnostic Using SPARC Data
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901263446179840 |
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| author | Tavella, Danilo |
| author_facet | Tavella, Danilo |
| contents | <div>Galactic rotation curves remain one of the most persistent empirical challenges in modern astrophysics. Most explanatory frameworks — including dark matter halo models and modified gravity proposals — implicitly assume that a single dynamical law or universal correction should account for the kinematic behavior of spiral galaxies across heterogeneous observational regimes.</div> <div> </div> <div>This technical note explores a different diagnostic perspective. Instead of proposing a new gravitational theory, the analysis examines whether the expectation of global explanatory closure itself may be structurally fragile when galaxies with heterogeneous observational traces are evaluated under a single correction framework.</div> <div> </div> <div>Using the SPARC (Spitzer Photometry and Accurate Rotation Curves) dataset as a diagnostic reference sample, a minimal long-range correction proxy is introduced in order to test the stability of a single global correction scale across galaxies with different structural properties and observational depth.</div> <div> </div> <div>The analysis suggests that improvements obtained under a fixed global correction scale tend to organize according to structural regime: extended spiral systems may exhibit coherent adjustments under the diagnostic proxy, while smaller or observationally limited systems remain inconsistent under the same global parameterization.</div> <div> </div> <div>A second structural aspect concerns the comparability of observational traces. Galaxies in the SPARC dataset differ substantially in radial coverage, sampling density, surface brightness, and signal-to-noise characteristics. These differences affect the informational depth of rotation-curve measurements and complicate the legitimacy of direct cross-system comparison under a single global fitting criterion.</div> <div> </div> <div>Filtering strategies based on trace robustness can stabilize inferred parameters across subsets of the dataset but do not restore universal closure across the full sample.</div> <div> </div> <div>Taken together, these observations suggest that the rotation-curve problem may involve two interacting structural layers: (1) the legitimacy of cross-system trace comparability and (2) the amplitude of regime-dependent corrections.</div> <div> </div> <div>The purpose of this work is methodological rather than theoretical. The correction proxy used in the analysis carries no ontological commitment and is intended solely as a diagnostic tool to illustrate how structural limits of global closure may arise when heterogeneous observational regimes are forced into a single universal correction framework.</div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18936964 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Structural Non-Closure in Galactic Rotation Curves: A Regime-Dependent Diagnostic Using SPARC Data Tavella, Danilo galactic rotation curves SPARC dataset regime-dependent closure global closure observational comparability astrophysical inference structural diagnostics long-range corrections <div>Galactic rotation curves remain one of the most persistent empirical challenges in modern astrophysics. Most explanatory frameworks — including dark matter halo models and modified gravity proposals — implicitly assume that a single dynamical law or universal correction should account for the kinematic behavior of spiral galaxies across heterogeneous observational regimes.</div> <div> </div> <div>This technical note explores a different diagnostic perspective. Instead of proposing a new gravitational theory, the analysis examines whether the expectation of global explanatory closure itself may be structurally fragile when galaxies with heterogeneous observational traces are evaluated under a single correction framework.</div> <div> </div> <div>Using the SPARC (Spitzer Photometry and Accurate Rotation Curves) dataset as a diagnostic reference sample, a minimal long-range correction proxy is introduced in order to test the stability of a single global correction scale across galaxies with different structural properties and observational depth.</div> <div> </div> <div>The analysis suggests that improvements obtained under a fixed global correction scale tend to organize according to structural regime: extended spiral systems may exhibit coherent adjustments under the diagnostic proxy, while smaller or observationally limited systems remain inconsistent under the same global parameterization.</div> <div> </div> <div>A second structural aspect concerns the comparability of observational traces. Galaxies in the SPARC dataset differ substantially in radial coverage, sampling density, surface brightness, and signal-to-noise characteristics. These differences affect the informational depth of rotation-curve measurements and complicate the legitimacy of direct cross-system comparison under a single global fitting criterion.</div> <div> </div> <div>Filtering strategies based on trace robustness can stabilize inferred parameters across subsets of the dataset but do not restore universal closure across the full sample.</div> <div> </div> <div>Taken together, these observations suggest that the rotation-curve problem may involve two interacting structural layers: (1) the legitimacy of cross-system trace comparability and (2) the amplitude of regime-dependent corrections.</div> <div> </div> <div>The purpose of this work is methodological rather than theoretical. The correction proxy used in the analysis carries no ontological commitment and is intended solely as a diagnostic tool to illustrate how structural limits of global closure may arise when heterogeneous observational regimes are forced into a single universal correction framework.</div> |
| title | Structural Non-Closure in Galactic Rotation Curves: A Regime-Dependent Diagnostic Using SPARC Data |
| topic | galactic rotation curves SPARC dataset regime-dependent closure global closure observational comparability astrophysical inference structural diagnostics long-range corrections |
| url | https://doi.org/10.5281/zenodo.18936964 |