Milky Way Near Twins (MWNeTs). I. A Hierarchical Framework for Identifying the Evolutionary Counterparts of the Milky Way
The search for Milky Way (MW) analogues has traditionally relied on similarity in a limited set of present-day global properties, including morphology. However, galaxies with similar current properties may have experienced different assembly histories, secular evolution, nuclear activity, and environmental histories. We introduce Milky Way Near Twins (MWNeTs) as galaxies that resemble the Milky Way in present-day properties and exhibit observational signatures consistent with broadly similar evolutionary pathways. We reformulate the search for the closest extragalactic counterparts of the MW by shifting from parameter-based similarity toward evolutionary similarity. We propose a hierarchical methodology consisting of five stages: isolation and cosmic-web context, morphological and structural constraints, nuclear activity and supermassive black hole properties, global spectrophotometric and dynamical constraints, and advanced evolutionary diagnostics. The first four stages identify galaxies consistent with the present-day environmental, structural, nuclear, spectrophotometric, and dynamical state of the MW, while the fifth stage tests this similarity using independent signatures of comparable evolutionary histories. We introduce the concept of evolutionary memory, in which complementary diagnostics preserve information about physical processes operating on different timescales and probing different layers of galaxy formation and evolution. These diagnostics include the integrated spectral energy distribution, rotation-curve morphology, chemo-dynamical signatures, globular-cluster systems, merger history, circumgalactic-medium properties, and multiwavelength fossil tracers. Together, the MWNeT framework establishes an observational bridge between Galactic and extragalactic astronomy and supports future searches for the closest evolutionary counterparts of the Milky Way.