3D NLTE analysis of the most iron-deficient star, SMSS0313-6708
Thomas Nordlander, Anish M. Amarsi, Karin Lind, Martin Asplund, Paul, S. Barklem, Andy R. Casey, Remo Collet, Jorrit Leenaarts

TL;DR
This study uses advanced 3D NLTE radiative transfer modeling to accurately determine the chemical composition of the most iron-deficient star, revealing higher element abundances and providing insights into the properties of early supernovae.
Contribution
It introduces a comprehensive 3D NLTE analysis with realistic collisional rates, significantly improving abundance estimates for extremely metal-poor stars.
Findings
Higher abundances of Fe, Mg, Al, Ca in 3D NLTE compared to 1D LTE
Revised [Fe/H] upper limit at < -6.53, ten times previous estimate
Chemical composition matches yields from low-energy supernovae of massive progenitors
Abstract
Models of star formation in the early universe depend on the details of accretion, fragmentation and radiative feedback. Different simulations predict different initial mass functions of the first stars, ranging from predominantly low mass (0.1-10 Msol), to massive (10-100 Msol), or even supermassive (100-1000 Msol). The mass distribution of the first stars should lead to unique chemical imprints on the low-mass second and later generation metal-poor stars still in existence. The chemical composition of SMSS0313-6708, which has the lowest abundances of Ca and Fe of any star known, indicates it was enriched by a single massive supernova. However, even weak spectral lines may be affected by strong 3D and NLTE effects in metal-poor stars. If these effects are ignored or treated incorrectly, errors in the inferred abundances may significantly bias the inferred properties of the polluting…
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