2012
DOI: 10.1088/0004-637x/756/2/138
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MODELING DUST AND STARLIGHT IN GALAXIES OBSERVED BYSPITZERANDHERSCHEL: NGC 628 AND NGC 6946

Abstract: We characterize the dust in NGC 628 and NGC 6946, two nearby spiral galaxies in the KINGFISH sample. With data from 3.6µm to 500µm , dust models are strongly constrained. Using the Draine & Li (2007) dust model, (amorphous silicate and carbonaceous grains), for each pixel in each galaxy we estimate (1) dust mass surface density, (2) dust mass fraction contributed by polycyclic aromatic hydrocarbons (PAH)s, (3) distribution of starlight intensities heating the dust, (4) total infrared (IR) luminosity emitted by… Show more

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Cited by 127 publications
(158 citation statements)
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References 60 publications
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“…One issue is to what level calibration differences between that of SPITZER/MIPS and that of HERSCHEL/PACS for their 160 µm data would affect the results and conclusions of the current work (see Aniano et al 2012). Another issue is the validity of the simple approach used here instead of using a more detailed dust model (e.g., Li & Draine 2001).…”
Section: B1 the Reliability Of Gas Surface Densities And Massesmentioning
confidence: 93%
“…One issue is to what level calibration differences between that of SPITZER/MIPS and that of HERSCHEL/PACS for their 160 µm data would affect the results and conclusions of the current work (see Aniano et al 2012). Another issue is the validity of the simple approach used here instead of using a more detailed dust model (e.g., Li & Draine 2001).…”
Section: B1 the Reliability Of Gas Surface Densities And Massesmentioning
confidence: 93%
“…The flux uncertainty might also be due to systematic uncertainties such as calibration errors and artifacts caused by observing cameras (e.g. Aniano et al 2012), which do not have the same properties as the statistical errors. In most cases, systematics are addressed via calibration uncertainties, because the systematics due to cameras are not well-defined.…”
Section: Sources Of Uncertaintiesmentioning
confidence: 99%
“…In most cases, systematics are addressed via calibration uncertainties, because the systematics due to cameras are not well-defined. For NGC 6946 and NGC 0628, Aniano et al (2012) investigated the systematics due to the MIPS and PACS cameras by comparing their data at a same wavelength (after convolving them to the same resolution and pixel size). For M 33, this comparison is possible only at 160 μm, because at other wavelengths the data are taken with only one camera.…”
Section: Sources Of Uncertaintiesmentioning
confidence: 99%
“…The study of a single infrared surface brightness ratio has the advantage of being mainly sensitive to dust temperature changes. The exploration of multi-waveband dust spectal energy distribution (SED) fitting techniques, however, benefits from the broader wavelength coverage to study the different heating sources in several infrared wavebands (e.g., Montalto et al 2009;Aniano et al 2012;Dale et al 2012;Mentuch Cooper et al 2012;Smith et al 2012;Ciesla et al 2014;Viaene et al 2014). Panchromatic SED fitting methods are even capable of constraining the absorbed energy from star light and re-emitted photons from dust grains by postulating a dust energy balance (e.g., CIGALE, MAGPHYS and GRASIL among others).…”
Section: Introductionmentioning
confidence: 99%