Kinematically Coherent Multiphase Galactic Winds in Star-Forming Galaxies Revealed by Unified Radiative Transfer Modeling of UV Emission and Absorption Lines
Zhihui Li, Timothy Heckman, Max Gronke, Xinfeng Xu, Alaina Henry, Evan Schneider, Matthew Abruzzo, Danielle Berg, Bethan James, Crystal Martin, and John Chisholm

TL;DR
This paper introduces PEACOCK, a novel 3D radiative transfer framework that models UV emission and absorption lines in galactic winds, revealing the importance of turbulence and multiphase kinematics in star-forming galaxies.
Contribution
PEACOCK is the first unified RT model that self-consistently reproduces multi-ion UV line profiles in galactic winds, combining deep learning and Bayesian inference for efficient analysis.
Findings
Turbulent motions dominate outflow kinematics.
Strong coherence between low- and high-ionization velocities.
Neutral hydrogen shows weaker kinematic correlation with metals.
Abstract
We present PEACOCK, a three-dimensional Monte Carlo radiative transfer (RT) framework designed to self-consistently model rest-frame ultraviolet emission and absorption lines arising from multiphase, clumpy galactic winds. Applied to deep HST/COS spectra of 50 nearby star-forming galaxies, PEACOCK reproduces 220 observed profiles of Ly-alpha, Si II, C II, Si III, Si IV, and C IV spanning absorption, emission, and P-Cygni-like morphologies within a single CGM model. By combining Monte Carlo RT with deep-learning acceleration and nested sampling, the framework enables fully converged multi-line inference at a small fraction of the cost of traditional RT grids. Systematic experiments show that ion column densities, bulk outflow velocities, and turbulent motions leave distinct imprints on line profiles, allowing the underlying gas properties to be constrained with minimal degeneracy. Purely…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
