CaltechTHESIS
  A Caltech Library Service

Deep Near-Infrared Spectroscopy of High-Redshift Galaxies: the Physical Growth of Passive Systems

Citation

Belli, Sirio (2016) Deep Near-Infrared Spectroscopy of High-Redshift Galaxies: the Physical Growth of Passive Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9QN64NQ . http://resolver.caltech.edu/CaltechTHESIS:10232015-070212778

Abstract

The assembly history of massive galaxies is one of the most important aspects of galaxy formation and evolution. Although we have a broad idea of what physical processes govern the early phases of galaxy evolution, there are still many open questions. In this thesis I demonstrate the crucial role that spectroscopy can play in a physical understanding of galaxy evolution. I present deep near-infrared spectroscopy for a sample of high-redshift galaxies, from which I derive important physical properties and their evolution with cosmic time. I take advantage of the recent arrival of efficient near-infrared detectors to target the rest-frame optical spectra of z > 1 galaxies, from which many physical quantities can be derived. After illustrating the applications of near-infrared deep spectroscopy with a study of star-forming galaxies, I focus on the evolution of massive quiescent systems.

Most of this thesis is based on two samples collected at the W. M. Keck Observatory that represent a significant step forward in the spectroscopic study of z > 1 quiescent galaxies. All previous spectroscopic samples at this redshift were either limited to a few objects, or much shallower in terms of depth. Our first sample is composed of 56 quiescent galaxies at 1 < z < 1.6 collected using the upgraded red arm of the Low Resolution Imaging Spectrometer (LRIS). The second consists of 24 deep spectra of 1.5 < z < 2.5 quiescent objects observed with the Multi-Object Spectrometer For Infra-Red Exploration (MOSFIRE). Together, these spectra span the critical epoch 1 < z < 2.5, where most of the red sequence is formed, and where the sizes of quiescent systems are observed to increase significantly.

We measure stellar velocity dispersions and dynamical masses for the largest number of z > 1 quiescent galaxies to date. By assuming that the velocity dispersion of a massive galaxy does not change throughout its lifetime, as suggested by theoretical studies, we match galaxies in the local universe with their high-redshift progenitors. This allows us to derive the physical growth in mass and size experienced by individual systems, which represents a substantial advance over photometric inferences based on the overall galaxy population. We find a significant physical growth among quiescent galaxies over 0 < z < 2.5 and, by comparing the slope of growth in the mass-size plane dlogRe/dlogM with the results of numerical simulations, we can constrain the physical process responsible for the evolution. Our results show that the slope of growth becomes steeper at higher redshifts, yet is broadly consistent with minor mergers being the main process by which individual objects evolve in mass and size.

By fitting stellar population models to the observed spectroscopy and photometry we derive reliable ages and other stellar population properties. We show that the addition of the spectroscopic data helps break the degeneracy between age and dust extinction, and yields significantly more robust results compared to fitting models to the photometry alone. We detect a clear relation between size and age, where larger galaxies are younger. Therefore, over time the average size of the quiescent population will increase because of the contribution of large galaxies recently arrived to the red sequence. This effect, called progenitor bias, is different from the physical size growth discussed above, but represents another contribution to the observed difference between the typical sizes of low- and high-redshift quiescent galaxies. By reconstructing the evolution of the red sequence starting at z ∼ 1.25 and using our stellar population histories to infer the past behavior to z ∼ 2, we demonstrate that progenitor bias accounts for only half of the observed growth of the population. The remaining size evolution must be due to physical growth of individual systems, in agreement with our dynamical study.

Finally, we use the stellar population properties to explore the earliest periods which led to the formation of massive quiescent galaxies. We find tentative evidence for two channels of star formation quenching, which suggests the existence of two independent physical mechanisms. We also detect a mass downsizing, where more massive galaxies form at higher redshift, and then evolve passively. By analyzing in depth the star formation history of the brightest object at z > 2 in our sample, we are able to put constraints on the quenching timescale and on the properties of its progenitor.

A consistent picture emerges from our analyses: massive galaxies form at very early epochs, are quenched on short timescales, and then evolve passively. The evolution is passive in the sense that no new stars are formed, but significant mass and size growth is achieved by accreting smaller, gas-poor systems. At the same time the population of quiescent galaxies grows in number due to the quenching of larger star-forming galaxies. This picture is in agreement with other observational studies, such as measurements of the merger rate and analyses of galaxy evolution at fixed number density.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:galaxy evolution; high-redshift galaxies; stellar dynamics; galaxy structure; galaxy metallicity
Degree Grantor:California Institute of Technology
Division:Physics, Mathematics and Astronomy
Major Option:Astronomy
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Ellis, Richard S.
Thesis Committee:
  • Readhead, Anthony C. S. (chair)
  • Steidel, Charles C.
  • Hopkins, Philip F.
  • Hallinan, Gregg W.
  • Ellis, Richard S.
Defense Date:21 July 2015
Record Number:CaltechTHESIS:10232015-070212778
Persistent URL:http://resolver.caltech.edu/CaltechTHESIS:10232015-070212778
DOI:10.7907/Z9QN64NQ
Related URLs:
URLURL TypeDescription
https://doi.org/10.1088/0004-637X/772/2/141DOIArticle adapted for Chapter 2
https://doi.org/10.1088/0004-637X/783/2/117DOIArticle adapted for Chapter 3
https://doi.org/10.1088/0004-637X/799/2/206DOIArticle adapted for Chapter 4
https://doi.org/10.1088/2041-8205/788/2/L29DOIArticle adapted for part of Chapter 5
ORCID:
AuthorORCID
Belli, Sirio0000-0002-5615-6018
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:9243
Collection:CaltechTHESIS
Deposited By: Sirio Belli
Deposited On:09 Nov 2015 17:24
Last Modified:18 May 2017 17:22

Thesis Files

[img]
Preview
PDF (Complete Thesis) - Final Version
See Usage Policy.

14Mb

Repository Staff Only: item control page