The most massive, passive, and oldest galaxies at 0.5 < z < 2.1: Downsizing signature from galaxies selected from MgUV index
R. Thomas, O. Le F\`evre, G. Zamorani, B. C. Lemaux, P. Hibon, A., Koekemoer, N. Hathi, D. Maccagni, P. Cassata, L. P. Cassar\`a, S. Bardelli,, M. Talia, E. Zucca

TL;DR
This study identifies the most massive, passive, and oldest galaxies between redshifts 0.5 and 2.1 using the MgUV spectral index, supporting the downsizing galaxy formation paradigm.
Contribution
It introduces a method to select old and massive galaxies based on the MgUV index, revealing their physical properties and formation history.
Findings
MgUV index effectively traces early-type galaxies at advanced evolution stages
High MgUV index correlates with higher mass and older age
Supports the downsizing paradigm with massive galaxies forming earlier
Abstract
Aims. We seek is to identify old and massive galaxies at 0.5<z<2.1 on the basis of the magnesium index MgUV and then study their physical properties. We computed the MgUV index based on the best spectral fitting template of 3700 galaxies using data from the VLT VIMOS Deep Survey (VVDS) and VIMOS Ultra Deep Survey (VUDS) galaxy redshift surveys. Based on galaxies with the largest signal to noise and the best fit spectra we selected 103 objects with the highest spectral MgUV signature. We performed an independent fit of the photometric data of these galaxies and computed their stellar masses, star formation rates, extinction by dust and age, and we related these quantities to the MgUV index. We find that the MgUV index is a suitable tracer of early-type galaxies at an advanced stage of evolution. Selecting galaxies with the highest MgUV index allows us to choose the most massive,…
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.
