On the neutron-capture elements across the Galactic thin disk using Cepheids
R. da Silva, B. Lemasle, G. Bono, K. Genovali, A. McWilliam, S., Cristallo, M. Bergemann, R. Buonanno, M. Fabrizio, I. Ferraro, P. Francois,, G. Iannicola, L. Inno, C.D. Laney, R.-P. Kudritzki, N. Matsunaga, M. Nonino,, F. Primas, N. Przybilla, M. Romaniello, F. Thevenin

TL;DR
This study analyzes neutron-capture element abundances in 435 Galactic Cepheids to understand chemical gradients and nucleosynthesis processes across the thin disk, revealing differences between light and heavy s-process elements and their ratios.
Contribution
It provides the first homogeneous, high-resolution abundance analysis of multiple neutron-capture elements in a large Cepheid sample across the Galactic thin disk, highlighting new abundance gradient behaviors.
Findings
Steeper gradient for light s-process element Y compared to heavy s- and r-process elements.
Clear anticorrelation between [La/Eu] ratio and Eu/Fe, indicating nucleosynthesis trends.
Good agreement between observed [La/Y] ratios and AGB star models, despite larger observed spreads.
Abstract
We present new accurate abundances for five neutron-capture (Y, La, Ce, Nd, Eu) elements in 73 classical Cepheids located across the Galactic thin disk. Individual abundances are based on high spectral resolution (R ~ 38,000) and high signal-to-noise ratio (S/N ~ 50-300) spectra collected with UVES at ESO VLT for the DIONYSOS project. Taking account for similar Cepheid abundances provided either by our group (111 stars) or available in the literature, we end up with a sample of 435 Cepheids covering a broad range in iron abundances (-1.6 < [Fe/H] < 0.6). We found, using homogeneous individual distances and abundance scales, well defined gradients for the above elements. However, the slope of the light s-process element (Y) is at least a factor of two steeper than the slopes of heavy s- (La, Ce, Nd) and r- (Eu) process elements. The s to r abundance ratio ([La/Eu]) of Cepheids shows a…
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.
