Empirical classification of VLT/Giraffe stellar spectra in the wavelength range 6440-6810 A in the gamma Vel cluster, and calibration of spectral indices
F. Damiani, L. Prisinzano, G. Micela, S. Randich, G. Gilmore, J. E., Drew, R. D. Jeffries, Y. Fr\'emat, E. J. Alfaro, T. Bensby, A. Bragaglia, E., Flaccomio, A. C. Lanzafame, E. Pancino, A. Recio-Blanco, G. G. Sacco, R., Smiljanic, R. J. Jackson, P. de Laverny, L. Morbidelli

TL;DR
This paper develops and calibrates spectral indices from VLT/Giraffe spectra to determine stellar parameters and distinguish between different stellar evolutionary stages in the gamma Vel cluster, aiding in age and population analysis.
Contribution
It introduces new spectral indices and calibration methods for stellar parameters, enabling age estimation and population differentiation in young clusters.
Findings
Indices effectively differentiate main-sequence and pre-main-sequence stars.
Calibrated indices provide reliable temperature and gravity estimates.
Support for an older pre-main-sequence population in gamma Vel.
Abstract
We study spectral diagnostics available from optical spectra with R=17000 obtained with the VLT/Giraffe HR15n setup, using observations from the Gaia-ESO Survey, on the gamma Vel young cluster, in order to determine the fundamental parameters of these stars. We define a set of spectroscopic indices, sampling TiO bands, H-alpha core and wings, and many temperature- and gravity-sensitive lines. Combined indices tau (gamma) are also defined as Teff (log g) indicators over a wide spectral-type range. H-alpha emission-line indices are also chromospheric activity or accretion indicators. A metallicity-sensitive index is also defined. These indices enable us to find a clear difference between gravities of main-sequence and pre-main-sequence stars (as well as giant stars): the (gamma,tau) diagram is thus argued to be a promising distance-independent age measurement tool for young clusters.…
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.
