Statistics – Methodology
Scientific paper
Jan 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21520208j&link_type=abstract
American Astronomical Society, AAS Meeting #215, #202.08; Bulletin of the American Astronomical Society, Vol. 42, p.294
Statistics
Methodology
Scientific paper
Dwarf star-forming galaxies in the local universe are laboratories of star formation and feedback in shallow potential wells and may serve as analogs to a population of very high redshift, low-mass, low-metallicity systems. Many of the physical parameters of such galaxies are most accurately determined through the fitting of the observed spectral energy distributions to population synthesis models. I have fitted GALEX, SDSS, and Spitzer fluxes as well as narrow-band H-alpha photometry of galaxies in the Local Volume Legacy Survey using a Bayesian methodology. I will present the fitting methodology which takes into account the contibutions of emission lines to the broadband photometry and can also include constraints from the observed 24 micron dust emission. The high quality observations over a large range of wavelengths place particularly strong constraints on the models, yielding precise measures of a large range of galaxy properties.
I will describe the physical properties of Local Volume galaxies thus derived, including estimates of stellar masses determined from UV/optical data and empirical calibrations of the M/L ratio in the Spitzer IRAC bands for these (predominantly) low-metallicity galaxies. I will also discuss the types of star-formation histories - namely the frequency and intensity of SF bursts - that would be necessary to explain the Far-UV and H-alpha properties of the lowest luminosity galaxies in the sample. Finally, I will compare the specific star-formation rates and stellar masses that I derive for this sample to previous estimates and to the SDSS main spectroscopic galaxy sample.
Johnson Benjamin D.
LVL Team
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