The Luminous Convolution Model for spiral galaxy rotation curves
S. Cisneros, J.G. O'Brien, N.S. Oblath, J.A. Formaggio

TL;DR
The Luminous Convolution Model (LCM) predicts spiral galaxy rotation curves using luminous matter alone, outperforming dark matter and modified gravity models, and offers falsifiable predictions based on spectral line shifts.
Contribution
This paper introduces the LCM as a new empirical model that accurately predicts galaxy rotation curves without dark matter or modified gravity, using relativistic spectral shifts.
Findings
LCM outperforms dark matter and MOND models in accuracy
LCM yields physically reasonable mass-to-light ratios
LCM can become a zero-parameter model with Milky Way data
Abstract
The Luminous Convolution Model (LCM) is an empirical formula, based on a heuristic convolution of Relativistic transformations, which makes it possible to predict the observed rotation curves of a broad class of spiral galaxies from luminous matter alone. Since the LCM is independent of distance estimates or dark matter halo densities, it is the first model of its kind which constrains luminous matter modeling directly from the observed spectral shifts of characteristic photon emission/absorption lines. In this paper we present the LCM solution to a diverse sample of twenty-five (25) galaxies of varying morphologies and sizes. For the chosen sample, it is shown that the LCM is more accurate than either Modified Newtonian Dynamics or dark matter models and returns physically reasonable mass to light ratios and exponential scale lengths. Unlike either Modified Newtonian Dynamics or dark…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries · Astronomy and Astrophysical Research
