Realistic ISM fluctuations from TIGRESS-NCR MHD simulations drive stellar radial heating with σ_R ∝ t^{1/2} (early, cold) and t^{1/5} (late, warm) plus substantial migration explained by quasilinear theory with λ_* ~600 pc and τ_* ~70 Myr.
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Spectroscopic members of the M92 stream yield a Milky Way bar pattern speed of 29.1 +0.7/-0.4 km s^{-1} kpc^{-1}.
A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
DESI data on the GD-1 stream identifies a thin cold core and a hot cocoon with 30% of members whose dispersion is consistent with 11 Gyr of dark matter subhalo heating.
PhDLspec combines differential spectra from physical stellar models with a transformer to derive approximately 30 stellar parameters from low-resolution spectra hundreds of times faster than traditional calculations.
TNG50 simulations of 98 Milky Way analogues find GSE-like debris in 32 cases, with two-merger GSEs in one third; single- and two-merger cases differ in median infall time (5.9 vs 10.7 Gyr ago), abundances, and star-formation histories.
MUST is a new 6.5 m telescope designed to deliver simultaneous optical spectra for over 20,000 targets across a 5 deg² field, enabling the largest 3D spectroscopic map of the Universe with redshifts for more than 100 million objects over an 8-year survey.
The PFS Galactic Archaeology survey will observe thousands of stars in Local Group systems to measure density profiles in dwarfs and compare assembly histories of M31 and the Milky Way.
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PhDLspec: physical-prior embedded deep learning method for spectroscopic determination of stellar labels in high-dimensional parameter space
PhDLspec combines differential spectra from physical stellar models with a transformer to derive approximately 30 stellar parameters from low-resolution spectra hundreds of times faster than traditional calculations.