1995
DOI: 10.1086/192112
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Synthetic properties of starburst galaxies

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Cited by 2,020 publications
(2,823 citation statements)
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“…Dale & Helou (2002) builds on this phenomenological approach by extending calibration at wavelengths >120 µm and correcting the Dale et al (2001) model assumptions regarding dust emissivity and radiation field intensity. Dopita et al (2005) present another modeling technique which reproduces SEDs from the ultraviolet through the far-infrared, and out through the radio by combining stellar synthesis output from STARBURST99 (Leitherer & Heckman, 1995), nebular line emission modeling, a dynamic evolution model of Hii regions and a simplified synchrotron emissivity model to construct self-consistent SEDs for solar-metallicity starbursts with durations ∼100 Myr. They Silva et al (1998) Stellar population synthesis model which accounts for dust obscuration from UV through the FIR; incorporates chemical evolution, gas fraction, metallicity, ages, relative fraction of starforming molecular gas to diffuse gas, the effect of small grains and PAHs and compares to observations from ISO.…”
Section: Employing Dust Radiative Transfer Models and Empirical Templmentioning
confidence: 99%
See 1 more Smart Citation
“…Dale & Helou (2002) builds on this phenomenological approach by extending calibration at wavelengths >120 µm and correcting the Dale et al (2001) model assumptions regarding dust emissivity and radiation field intensity. Dopita et al (2005) present another modeling technique which reproduces SEDs from the ultraviolet through the far-infrared, and out through the radio by combining stellar synthesis output from STARBURST99 (Leitherer & Heckman, 1995), nebular line emission modeling, a dynamic evolution model of Hii regions and a simplified synchrotron emissivity model to construct self-consistent SEDs for solar-metallicity starbursts with durations ∼100 Myr. They Silva et al (1998) Stellar population synthesis model which accounts for dust obscuration from UV through the FIR; incorporates chemical evolution, gas fraction, metallicity, ages, relative fraction of starforming molecular gas to diffuse gas, the effect of small grains and PAHs and compares to observations from ISO.…”
Section: Employing Dust Radiative Transfer Models and Empirical Templmentioning
confidence: 99%
“…which takes the radiative transfer models of Leitherer & Heckman (1995) for continuous starbursts ranging in age from 10-100 Myr and a Salpeter IMF (Salpeter, 1955). Note importantly that this conversion does not account for AGN heating of dust in this wavelength regime, even though AGN fractional contribution is known to be non-negligible (10-30%).…”
Section: Estimating L Ir T Dust and M Dust From An Sedmentioning
confidence: 99%
“…We chose to do so with the full spectral fitting technique, using the STARLIGHT code (Cid Fernandes et al 2005) that produces a model spectrum from a linear combination of simple stellar population spectra, convolved with a kinematic kernel and corrected for extinction, to find the stellar population model that best matches an observed spectrum. STARBURST99 (Leitherer et al 1999) stellar populations were used as templates to fit the spectrum, with absolute metallicities of 0.001, 0.002, 0.008, 0.014 and 0.040 and ages between 2 Myr and 3 Gyr. We prefer instantaneous burst models, since continuous star formation models are not simple to interpret in this linear combination method, and use the Geneva tracks with zero rotation and the Kroupa (2001) IMF.…”
Section: Stellar Populationsmentioning
confidence: 99%
“…To model our sample of galaxies we have used the Starburst99 code (Leitherer et al 1999, Vázquez & Leitherer 2005 to generate theoretical spectral energy distributions (SEDs), which in turn were used in Mappings III photoionization models to produce model galaxy spectra that could be compared to our observations. Starburst99 is an evolutionary synthesis code that can be used to generate synthetic ionizing far-ultraviolet (FUV) radiation spectra as a function of metallicity, star formation history, and the age and evolution of the stellar populations.…”
Section: Model Grid Parametersmentioning
confidence: 99%