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Emulating Radiative Transfer with Artificial Neural Networks
Snigdaa S. Sethuram, Rachel K. Cochrane, Christopher C. Hayward +4
Forward-modeling observables from galaxy simulations enables direct comparisons between theory and observations. To generate synthetic spectral energy distributions (SEDs) that inc…
The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques
Camilla Pacifici, Kartheik G. Iyer, Bahram Mobasher +52
The study of galaxy evolution hinges on our ability to interpret multi-wavelength galaxy observations in terms of their physical properties. To do this, we rely on spectral energy…
Stellar Populations of Lyman-alpha Emitting Galaxies in the HETDEX Survey I: An Analysis of LAEs in the GOODS-N Field
Adam P. McCarron, Steven L. Finkelstein, Oscar A. Chavez Ortiz +17
We present the results of a stellar-population analysis of Lyman-alpha emitting galaxies (LAES) in GOODS-N at 1.9 < z < 3.5 spectroscopically identified by the Hobby-Eberly Telesco…
Galaxy And Mass Assembly (GAMA): Self-Organizing Map Application on Nearby Galaxies
B. W. Holwerda, Dominic Smith, Lori Porter +12
Galaxy populations show bimodality in a variety of properties: stellar mass, colour, specific star-formation rate, size, and Sérsic index. These parameters are our feature space. W…
First HETDEX Spectroscopic Determinations of Ly and UV Luminosity Functions at : Bridging a Gap Between Faint AGN and Bright Galaxies
Yechi Zhang, Masami Ouchi, Karl Gebhardt +21
We present Ly and ultraviolet-continuum (UV) luminosity functions (LFs) of galaxies and active galactic nuclei (AGN) at determined by the un-targetted optical spectr…
Detecting episodes of star formation using Bayesian model selection
Andrew J. Lawler, Viviana Acquaviva
Bayesian model comparison frameworks can be used when fitting models to data in order to infer the appropriate model complexity in a data-driven manner. We aim to use them to detec…