2007
DOI: 10.1086/510113
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Feedback‐driven Evolution of the Far‐Infrared Spectral Energy Distributions of Luminous and Ultraluminous Infrared Galaxies

Abstract: We calculate infrared spectral energy distributions (SEDs) from simulations of major galaxy mergers and study the effect of AGN and starburst driven feedback on the evolution of the SED as a function of time. We use a self-consistent three-dimensional radiative equilibrium code to calculate the emergent SEDs and to make images. To facilitate a simple description of our findings, we describe our results in reference to an approximate analytic solution for the far-IR SED. We focus mainly on the luminous infrared… Show more

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Cited by 38 publications
(54 citation statements)
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“…QSOs are thus expected to be the end-product of the rapid growth of SMBHs seen soon after a phase of high star formation, as seen in SMGs (Sanders et al 1988;Granato et al 2001). Although these models claim to be successful in reproducing and Article published by EDP Sciences explaining several observations (Hopkins et al 2005b(Hopkins et al , 2006Li et al 2007;Chakrabarti et al 2007), more observations are necessary to test their predictions, constrain their parameters, and provide a physical base to some of their assumptions (see e.g. Marulli et al 2008).…”
Section: Introductionmentioning
confidence: 99%
“…QSOs are thus expected to be the end-product of the rapid growth of SMBHs seen soon after a phase of high star formation, as seen in SMGs (Sanders et al 1988;Granato et al 2001). Although these models claim to be successful in reproducing and Article published by EDP Sciences explaining several observations (Hopkins et al 2005b(Hopkins et al , 2006Li et al 2007;Chakrabarti et al 2007), more observations are necessary to test their predictions, constrain their parameters, and provide a physical base to some of their assumptions (see e.g. Marulli et al 2008).…”
Section: Introductionmentioning
confidence: 99%
“…We build on these recent developments here by calculating panchromatic SEDs, spanning optical to millimeter wavelengths, of simulations of gas-rich major mergers by using the self-consistent three-dimensional radiative transfer code RADISHE, which treats the scattering, absorption, and reemission of photons from dust grains, with the dust temperature calculated iteratively on the basis of radiative equilibrium (Chakrabarti & Whitney 2008) by using the Lucy temperature algorithm (Lucy 1999). We conduct a multiwavelength analysis of correlations from rest-frame near-infrared to submillimeter bands, as well as infrared X-ray correlations.…”
Section: Introductionmentioning
confidence: 99%
“…We find, therefore, that Li et al (2008) have overemphasized the resolution aspect of their calculation. As discussed in the Appendix and in Chakrabarti & Whitney (2008), the shape of the near-and mid-IR SED is governed in these calculations primarily by the use of the HRH spectrum and our assumptions about the dust-to-gas ratios in the dense and diffuse phases of the ISM. C07 and Chakrabarti & Mckee (2005) explained the shape of the far-IR SED in terms of L/M and AE.…”
mentioning
confidence: 99%
“…We use the self-consistent 3-D Monte Carlo radiative transfer code RADISHE to calculate the emergent SEDs and images through the time outputs of the SPH simulations, as in prior work (Chakrabarti et al 2007;Chakrabarti & Whitney 2009). The radiative transfer methodology is described in Chakrabarti & Whitney (2009;henceforth CW09).…”
Section: Emergent Seds and Imagesmentioning
confidence: 99%
“…For this tracer to be useful, the colors would need to be robust to the choice of star formation (SF) prescription, dust model (or ISM decomposition). This work builds on our earlier work on calculating the emergent SEDs from SPH simulations (Chakrabarti et al 2007;Chakrabarti & Whitney 2009). The choice of ISM decomposition (Jonsson et al 2010;Narayanan et al 2010) will affect the emergent SED, and we are exploring a range of prescriptions to understand the primary dependences.…”
Section: Introductionmentioning
confidence: 98%