Identification of Cosmic Chronometers in the GAMA Survey
Laura J. Hunt, Kevin A. Pimbblet, David M. Benoit
Abstract
We present a pure sample of 231 massive, passively evolving elliptical galaxies as cosmic chronometer candidates selected from the Galaxy and Mass Assembly (GAMA) survey between 0.03<z<0.4. The goal of this work is to increase the pool of high-purity cosmic chronometer candidates available in the literature and assess the effect of purity on statistical uncertainty to make H(z) and H0 calculations more robust in future studies. We use traditional selection criteria to identify cosmic chronometers using photometry and spectroscopy in conjunction with modelled parameters such as stellar mass and velocity dispersion. We use an NUVrJ photometric selection to identify quiescent galaxies and identify a number of spectral features, including Hα, [OII] and Hδ to use as tracers for ongoing or recently halted star formation. Additionally, as part of the selection, we calculate the ratio between the Ca II H and K lines to determine whether a galaxy's stellar population is dominated by older or younger stars. We confirm CC candidacy by selecting only the most massive galaxies and perform a visual inspection of the spectra and images of CC candidates. We provide an analysis of the parent sample in comparison to the CC sample and confirm CCs have much lower sSFR, with a median sSFR of 10-12~Myr-1. Additionally, we find their median ages are 2~Gyr older than the parent sample.
Create a lesson
Related papers
The Nature of Small-Scale Perturbation Modes in a Nonstationary Self-Gravitating Disk
K. T. Mirtadjieva, J. M. Ganiev, S. N. Nuritdinov
High-redshift supermassive black hole population from core-collapse in self-interacting dark matter halos
Sambo Sarkar, Ujjal Kumar Dey
Magnetized interstellar molecular clouds - III. Filament Collisions and Core Formation: Insights into Substructures and Evolution
Pak Shing Li, Christopher F. McKee, Richard I. Klein
The Infrared Glow of Galactic Outskirts: A New Window with NASIM
Elham Saremi, Ignacio Trujillo, Mohammad Akhlaghi et al.
Heavy Seed Black Hole Growth in Metal-Enriched Halos through Disk-Induced Stellar Disruptions: A Semi-Analytical Modelling
Zijian Wang, Zhili Wang, Yiqiu Ma et al.
E-INSPIRE - II. Finding relics from wide-sky multi-band surveys: A proof-of-concept machine learning regression algorithm
Charles Rosen, Chiara Spiniello, John Mills et al.