Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.692948
Title: Full spectral fitting of stellar population models for studies of galaxy evolution
Author: Wilkinson, David Mark
ISNI:       0000 0004 5920 8607
Awarding Body: University of Portsmouth
Current Institution: University of Portsmouth
Date of Award: 2015
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
In this work we present a new full spectral fitting code called FIREFLY. It is a c2-minimisation code that obtains thousands of spectral fits in order to build probability distribution functions of stellar population properties, and includes an innovative method to treat dust attenuation. We use the code to determine galaxy properties, including age, metallicity, stellar mass and dust extinction, of over 2 million galaxy spectra, both from point-source and from resolved galaxy surveys, using modern high-resolution stellar population models. We analyse the results to assess the redshift evolution of galaxy properties, and the importance of their internal processes. We test a set of stellar population models based on three stellar libraries to assess the systematic effects of changing model ingredients and provide a detailed assessment of degeneracies in the models, in all stages of the thesis. After introducing the central concepts in galaxy evolution and astrophysics, we describe the advancements of stellar population models and their use in the derivation of galaxy properties. We then give a detailed overview of the landscape of full spectral fitting and its application to observational data. We describe the motivation, features and function of FIREFLY, performing careful calibration on a set of mock galaxies and globular clusters. We also very carefully assess the degeneracies in model spectra and measure the uncertainties from applying a full spectral fitting approach to optical data. We apply FIREFLY to two observation point-source surveys with millions of galaxy members: the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7), and SDSS Data Release 9, the galaxy data of which is called the Baryon Oscillation Spectroscopic Survey (BOSS). We present the full star formation histories of all of the galaxies in the surveys and important subsamples within them. We use the derived galaxy properties as the calibrator for combining these surveys into one large survey across redshifts 0.0 < z < 0.8. This enables us to assess the redshift evolution of the most luminous and passive galaxies across both samples. Significantly, we use FIREFLY in the first scientific publication of SDSS-IV, for the MaNGA Integral Field Unit survey. We retrieve stellar population maps and radial profiles from high spatial resolution prototype observations of 18 galaxies, encompassing thousands of individual spectra. Our analysis gives detailed measurements of the precision to which one can recover stellar population gradients and resolved maps as a function of observational conditions and stellar population model ingredients, paving the way for future work both in MaNGA and other spatial galaxy surveys.
Supervisor: Maraston, Claudia ; Thomas, Daniel George Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Thesis
EThOS ID: uk.bl.ethos.692948  DOI: Not available
Keywords: Cosmology and Gravitation
Share: