Photomagnetic Activation Density in Laser-Plasma Data: A QMU Demonstration of qpmd

This paper introduces a fully quantified research application for Quantum Photomagnetic Density ($qpmd$) within the Quantum Measurement Unit (QMU) framework of the Aether Physics Model (APM). The work demonstrates that published laser--solid interaction datasets already contain the information necessary to compute a new QMU-derived coordinate without requiring new experimental diagnostics. In the present interpretation, photons are the transported quanta, while light is represented by the local luminous state of the Aether, ligt=phtn\,freq, where the luminous condition is established by photons of a particular frequency rather than being a transported substance itself. Electron-sector magnetic square-charge is represented by eₑₘₐₓ²=chrg=h\,Cd, and temperature is expressed as the propagation-square unit temp=c². Measured hot-electron energies therefore determine a fractional QMU temperature, Θₑ=Eₕ/mₑ c². The proposed photomagnetic activation density is qT=Θₑ eₑₘₐₓ²ligtL, where ligtL=h c fL=h c²/λL. This leads to the practical computation form qT=Θₑ Cd λL/c², and to the proportional engineering coordinate qT⁼Θₑ λL. The transformation was applied to the published laser--solid interaction database of Rusby et al. (2024), demonstrating that the coordinate is computationally tractable, directly reproducible from standard experimental quantities, and suitable for row-wise analysis of laser-plasma coupling phenomena. Preliminary analyses indicate that the transformation can reduce wavelength-correlated residual structure and improve clustering within certain subsets of published data. The paper establishes $qpmd$ as a practical and falsifiable engineering coordinate for organizing hot-electron measurements and reinterpreting laser-driven coupling as activated charge normalized by the local luminous state of the Aether. Supporting Zenodo files include processed spreadsheets, derived QMU columns, and computational materials required to reproduce the analysis and facilitate independent evaluation of the proposed methodology.