On a new and homogeneous metallicity scale for Galactic classical Cepheids - I. Physical parameters
B. Proxauf, R. da Silva, V.V. Kovtyukh, G. Bono, L. Inno, B. Lemasle,, J. Pritchard, N. Przybilla, J. Storm, M.A. Urbaneja, E. Valenti, M., Bergemann, R. Buonanno, V. D'Orazi, M. Fabrizio, I. Ferraro, G. Fiorentino,, P. Francois, G. Iannicola, C.D. Laney, R.-P. Kudritzki

TL;DR
This study provides a new homogeneous metallicity scale for Galactic classical Cepheids by analyzing over 1130 high-resolution spectra, improving temperature estimates, and accurately measuring physical parameters and iron abundances across pulsation cycles.
Contribution
It introduces a comprehensive set of new line depth ratio calibrations and a homogeneous analysis method for physical parameters and metallicities of Cepheids, covering full pulsation cycles.
Findings
Effective temperature calibration improved with 150+ new LDR calibrations.
Mean iron abundances estimated with better than 0.1 dex precision.
Physical parameters and metallicities agree with previous literature estimates.
Abstract
We gathered more than 1130 high-resolution optical spectra for more than 250 Galactic classical Cepheids. The spectra were collected with different optical spectrographs: UVES at VLT, HARPS at 3.6m, FEROS at 2.2m MPG/ESO, and STELLA. To improve the effective temperature estimates, we present more than 150 new line depth ratio (LDR) calibrations that together with similar calibrations already available in the literature allowed us to cover a broad range in wavelength (between 5348 and 8427 angstrom) and in effective temperatures (between 3500 and 7700 K). This means the unique opportunity to cover both the hottest and coolest phases along the Cepheid pulsation cycle and to limit the intrinsic error on individual measurements at the level of ~100 K. Thanks to the high signal-to-noise ratio of individual spectra we identified and measured hundreds of neutral and ionized lines of heavy…
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.
