Using multi-band photometry and HI surveys to estimate the galactic baryonic mass function

Angus Hooper Wright

    Research output: ThesisDoctoral Thesis

    352 Downloads (Pure)

    Abstract

    We utilise multi-wavelength imaging to estimate the low-redshift stellar and baryonic mass functions. We require robust photometry to accurately measure each galaxy's spectral energy distribution, and HI flux estimates for sources in our sample. We created a bespoke program optimised for measuring robust photometry: the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR). We also use wide-field radio surveys to perform optically motivated HI measurements for all galaxies within the volume. These stellar mass and cold gas estimates are used to provide a revised estimate of the baryonic density of the Universe from the Galaxy and Mass Assembly (GAMA) Survey low-z sample.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Award date9 Jun 2017
    DOIs
    Publication statusUnpublished - 2017

    Fingerprint

    galactic mass
    photometry
    estimates
    galaxies
    stellar mass
    cold gas
    spectral energy distribution
    universe
    assembly
    gases
    wavelengths

    Cite this

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    abstract = "We utilise multi-wavelength imaging to estimate the low-redshift stellar and baryonic mass functions. We require robust photometry to accurately measure each galaxy's spectral energy distribution, and HI flux estimates for sources in our sample. We created a bespoke program optimised for measuring robust photometry: the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR). We also use wide-field radio surveys to perform optically motivated HI measurements for all galaxies within the volume. These stellar mass and cold gas estimates are used to provide a revised estimate of the baryonic density of the Universe from the Galaxy and Mass Assembly (GAMA) Survey low-z sample.",
    keywords = "Galaxy evolution",
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    language = "English",
    school = "The University of Western Australia",

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    Using multi-band photometry and HI surveys to estimate the galactic baryonic mass function. / Wright, Angus Hooper.

    2017.

    Research output: ThesisDoctoral Thesis

    TY - THES

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    AU - Wright, Angus Hooper

    PY - 2017

    Y1 - 2017

    N2 - We utilise multi-wavelength imaging to estimate the low-redshift stellar and baryonic mass functions. We require robust photometry to accurately measure each galaxy's spectral energy distribution, and HI flux estimates for sources in our sample. We created a bespoke program optimised for measuring robust photometry: the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR). We also use wide-field radio surveys to perform optically motivated HI measurements for all galaxies within the volume. These stellar mass and cold gas estimates are used to provide a revised estimate of the baryonic density of the Universe from the Galaxy and Mass Assembly (GAMA) Survey low-z sample.

    AB - We utilise multi-wavelength imaging to estimate the low-redshift stellar and baryonic mass functions. We require robust photometry to accurately measure each galaxy's spectral energy distribution, and HI flux estimates for sources in our sample. We created a bespoke program optimised for measuring robust photometry: the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR). We also use wide-field radio surveys to perform optically motivated HI measurements for all galaxies within the volume. These stellar mass and cold gas estimates are used to provide a revised estimate of the baryonic density of the Universe from the Galaxy and Mass Assembly (GAMA) Survey low-z sample.

    KW - Galaxy evolution

    U2 - 10.4225/23/594a0c6adf0c5

    DO - 10.4225/23/594a0c6adf0c5

    M3 - Doctoral Thesis

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