2015
DOI: 10.1051/epjconf/201510200007
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Modelling and interpretation of SEDs

Abstract: Abstract. Circumstellar disks are mostly detected by larger continuum fluxes in the infrared to mm spectral regions as compared to naked stars (a flux excess). The analysis of the Spectral Energy Distribution (SED) of that flux excess was crucial for the development of the first theories about protoplanetary disks, and even nowadays, it is still one of the major tools to physically characterise the disks in terms of their mass, inner holes and gaps, vertical extension & shape, dust properties, and evolutionary… Show more

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Cited by 14 publications
(10 citation statements)
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“…This is broadly the case independent of the choice of either grid fitting or MCMC fitting. But fits to SEDs alone are notoriously degenerate (Chiang et al 2001;Woitke 2015), and spatially resolved image data or interferometric visibilities are required in order to place robust constraints on many properties of interest. Only a handful of disk studies have successfully and rigorously fit models to heterogeneous observables, including SEDs and images or interferometric visibilities, but when this has been achieved it has often yielded particularly powerful constraints and detailed insights into disk structures (e.g., Pinte et al 2008; Duchêne et al 2010;Lebreton et al 2012;Carmona et al 2014;Milli et al 2015;Cleeves et al 2016).…”
Section: Radiative Transfer Modeling and Model Fitting Of Circumstellmentioning
confidence: 99%
“…This is broadly the case independent of the choice of either grid fitting or MCMC fitting. But fits to SEDs alone are notoriously degenerate (Chiang et al 2001;Woitke 2015), and spatially resolved image data or interferometric visibilities are required in order to place robust constraints on many properties of interest. Only a handful of disk studies have successfully and rigorously fit models to heterogeneous observables, including SEDs and images or interferometric visibilities, but when this has been achieved it has often yielded particularly powerful constraints and detailed insights into disk structures (e.g., Pinte et al 2008; Duchêne et al 2010;Lebreton et al 2012;Carmona et al 2014;Milli et al 2015;Cleeves et al 2016).…”
Section: Radiative Transfer Modeling and Model Fitting Of Circumstellmentioning
confidence: 99%
“…For example, millimeter dust grains which emit at centimeter to submillimeter wavelengths can have emission that becomes optically thick, especially in the inner disk. In this case, the brightness temperature of the emission reveals the dust thermal temperature, which is equal to the gas temperature in the dense midplane where frequent collisions equilibrate these two components temperatures (e.g., Woitke 2015). A challenge of this method that has become apparent over recent years is that disks are much more structured than previously thought.…”
Section: Vertical Temperature Stratification and Constraints On Geome...mentioning
confidence: 99%
“…The model requires inputs for dust density and structure, dust opacity and a source. The dust density and structure are determined from our 𝑁-body outputs, and the source is a Sun-like blackbody emitter of 5800 K. The dust opacities are determined from the opacity tool developed to determine the DIANA standard opacities (Toon & Ackerman 1981;Woitke 2015;Min et al 2005;Dorschner et al 1995). The dust particles are dominated by silicates but with some carbonaceous material mixed in.…”
Section: Step 3: Synthetic Images (Radiative Transfer)mentioning
confidence: 99%