The explosion energy of early stellar populations: The Fe-peak element ratios in low metallicity damped Lyman-alpha systems
Ryan Cooke (1,2), Max Pettini (2), Regina A. Jorgenson (3), Michael T., Murphy (4), Gwen C. Rudie (5), Charles C. Steidel (5) ((1) University of, California, Santa Cruz, (2) Institute of Astronomy, University of Cambridge,, (3) Institute for Astronomy, University of Hawaii

TL;DR
This study investigates Fe-peak element ratios in very metal-poor damped Lyman-alpha systems to infer the explosion energies of early supernovae, using new spectral stacking methods and comparing with stellar data.
Contribution
It introduces a novel spectral stacking technique to estimate Fe-peak ratios in low-metallicity DLAs and links these ratios to supernova explosion energies of early stars.
Findings
Most DLAs were enriched by supernovae with energies less than 1.2 x 10^51 erg.
Spectral stacking effectively estimates element ratios in systems without direct detections.
Future observations with 30-m class telescopes could measure supernova energies of the first stars.
Abstract
The relative abundances of the Fe-peak elements (Ti-Zn) at the lowest metallicities are intimately linked to the physics of core-collapse supernova explosions. With a sample of 25 very metal-poor damped Lyman-alpha systems, we investigate the trends of the Fe-peak element ratios with metallicity. For nine of the 25 DLAs, a direct measurement (or useful upper limit) of one or more of the Ti,Cr,Co,Ni,Zn/Fe abundance ratios could be determined from detected absorption lines. For the remaining systems (without detections), we devised a new form of spectral stacking to estimate the typical Fe-peak element ratios of the DLA population in this metallicity regime. We compare these data to analogous measurements in metal-poor stars of the Galactic halo and to detailed calculations of explosive nucleosynthesis in metal-free stars. We conclude that most of the DLAs in our sample were enriched by…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
