TL;DR
This study analyzes stellar populations of passive galaxies at z~0.7 using spectroscopic data, introduces a new spectral index diagnostic, and confirms their potential as reliable cosmic chronometers for cosmology.
Contribution
The paper develops PyLick, a new Python tool for spectral index measurement, and demonstrates its effectiveness in selecting passive galaxies and constraining their stellar properties at intermediate redshift.
Findings
Passive galaxies show consistent ages with cosmological expectations.
No significant evolution in metallicity from z~0.7 to z=0.
Positive correlation between galaxy mass and stellar age, metallicity, and alpha enhancement.
Abstract
We take advantage of the publicly available LEGA-C spectroscopic survey to measure the stellar population properties of 140 individual massive and passive galaxies at . We develop and publicly release PyLick, a flexible python code to measure UV to near-IR spectral indices. With PyLick we study the H/K ratio as a new diagnostic based on the pseudo-Lick CaII H and K indices, and find that a cut in can be used jointly with other criteria to select (or verify the purity of) samples of passive galaxies. By combining photometric and spectroscopic criteria, we select a reliable sample of passively evolving galaxies. We constrain single-burst stellar ages, metallicities , and with an optimized set of Lick indices, exploring in detail the robustness of our measurement against different combinations. Even without imposing…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
