Abundances in the Galactic bulge: results from planetary nebulae and giant stars
C. Chiappini (Geneva Observatory, University of Geneva, Switzerland, and Osservatorio Astronomico di Trieste INAF, Italy), S. Gorny (Copernicus, Astronomical Center, Poland), G. Stasinska (LUTH Observatoire de Paris,, Meudon, France), B. Barbuy (Sao Paulo University, Brazil)

TL;DR
This study compares planetary nebulae and giant star abundances in the Galactic bulge to understand its chemical evolution, highlighting systematic discrepancies and emphasizing caution in using absolute abundances for such analyses.
Contribution
It provides the largest high-quality dataset of PNe in the Galactic bulge and compares these with giant star data and LMC PNe to identify reliable chemical tracers.
Findings
O and Ne abundances in PNe reflect the interstellar medium at progenitor formation
PN oxygen abundance distribution is shifted lower by 0.3 dex compared to giants
Systematic errors likely cause discrepancies between PNe and giant star abundances
Abstract
Our understanding of the chemical evolution of the Galactic bulge requires the determination of abundances in large samples of giant stars and planetary nebulae (PNe). We discuss PNe abundances in the Galactic bulge and compare these results with those presented in the literature for giant stars. We present the largest, high-quality data-set available for PNe in the direction of the Galactic bulge (inner-disk/bulge). For comparison purposes, we also consider a sample of PNe in the Large Magellanic Cloud (LMC). We derive the element abundances in a consistent way for all the PNe studied. By comparing the abundances for the bulge, inner-disk, and LMC, we identify elements that have not been modified during the evolution of the PN progenitor and can be used to trace the bulge chemical enrichment history. We then compare the PN abundances with abundances of bulge field giant. At the…
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.
