A new theory, the Tidal Layer Reflux Model (TLRM), challenges traditional solar physics models by proposing a dynamic, fluid-based framework for understanding the Sun's internal and atmospheric structure.
TLRM suggests that solar layers arise from the interplay of thermal, convective, and magnetic flows, with a key mechanism called reflux driving energy and plasma from deeper layers to the corona, potentially solving the coronal heating problem.
This model reframes solar structure as fluid interfaces influenced by dynamic processes like differential rotation, rising flux tubes, and the tachocline's shear layer, offering a new perspective on solar layering.
TLRM predicts testable outcomes through helioseismology, coronal spectroscopy, and MHD simulations, aiming to unify disparate solar phenomena and address anomalies such as the coronal heating issue.
The theory introduces the concept of periodic upwellings and tidal flows within the Sun, akin to oceanic tides, explaining phenomena like the million-degree temperatures of the corona and offering a dynamic framework for energy transport.
Reflux, the episodic ascent of plasma and magnetic flux from deeper layers to the surface, plays a crucial role in supplying energy directly to the corona, complementing existing mechanisms like Alfvén waves and nanoflares.
TLRM's predictions include oscillatory signatures in helioseismic data, coronal brightness enhancements linked to reflux events, and unique chemical signatures on the solar wind due to high-energy particles from deeper layers.
Proposing the Neutrino Micro-Compensation Hypothesis (NMCH), TLRM speculates on how neutrinos might interact with solar gradients, suggesting potential correlations between neutrino flux variations and solar activity.
By reconceptualizing solar dynamics and energy transport, TLRM aims to refine models of magnetic dynamos and energy surges, potentially transforming our understanding of the Sun and other stars.
TLRM remains a theoretical extension of existing solar-physics frameworks, inviting further research and data-driven tests to validate its premises and implications for solar science.