Tootfinder

Refining fundamental constants with white dwarfs: machine learning informed constraints on fine-structure constant and proton-to-electron mass ratio
Akhil Uniyal (TDLI), Surajit Kalita (Warsaw), Yosuke Mizuno (TDLI), Sayan Chakrabarti (IIT-G), Yan Lu (Shanghai)
https://arxiv.org/abs/2508.21541

Refining fundamental constants with white dwarfs: machine learning informed constraints on fine-structure constant and proton-to-electron mass ratio
We explore the potential variation of two fundamental constants, the fine-structure constant $α$ and the proton-to-electron mass ratio $μ$, within the framework of modified gravity theories and finite-temperature effects. Utilising high-precision white dwarf observations from the Gaia-DR3 survey, we construct a robust mass--radius relation using a Bayesian-inspired machine learning framework. This empirical relation is rigorously compared with theoretical predictions derived from scalar-tenso…