SUNRISE: polychromatic dust radiative transfer in arbitrary geometries

Jönsson, Patrik

doi:10.1111/j.1365-2966.2006.10884.x

Cited by 313 publications

(335 citation statements)

References 52 publications

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“…Narayanan et al (2010c) examined the properties of a series of galaxy mergers over a range of galaxy masses and merger mass ratios, as well as idealized isolated disk galaxies utilizing gadget as the N-body/hydrodynamics solver. These authors coupled these simulations with sunrise, a 3D Monte Carlo dust radiative transfer code in order to produce the simulated SED and nebular line properties of their simulated galaxies (Jonsson, 2006;Jonsson & Primack, 2010). A key difference between sunrise and radishe is the inclusion of photodissociation region (PDR) modeling.…”

Section: Idealized and Hybrid Simulationsmentioning

confidence: 99%

Dusty star-forming galaxies at high redshift

2014

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Far-infrared and submillimeter wavelength surveys have now established the important role of dusty, star-forming galaxies (DSFGs) in the assembly of stellar mass and the evolution of massive galaxies in the Universe. The brightest of these galaxies have infrared luminosities in excess of 10 13 L with implied star-formation rates of thousands of solar masses per year. They represent the most intense starbursts in the Universe, yet many are completely optically obscured. Their easy detection at submm wavelengths is due to dust heated by ultraviolet radiation of newly forming stars. When summed up, all of the dusty, star-forming galaxies in the Universe produce an infrared radiation field that has an equal energy density as the direct starlight emission from all galaxies visible at ultraviolet and optical wavelengths. The bulk of this infrared extragalactic background light emanates from galaxies as diverse as gas-rich disks to mergers of intense starbursting galaxies. Major advances in far-infrared instrumentation in recent years, both spacebased and ground-based, has led to the detection of nearly a million DSFGs, yet our understanding of the underlying astrophysics that govern the start and end of the dusty starburst phase is still in nascent stage. This review is aimed at summarizing the current status of DSFG studies, focusing especially on the detailed characterization of the bestunderstood subset (submillimeter galaxies, who were summarized in the last review of this field over a decade ago, Blain et al. 2002), but also the selection and characterization of more recently discovered DSFG populations. We review DSFG population statistics, their physical properties including dust, gas and stellar contents, their environments, and current theoretical models related to the formation and evolution of these galaxies.

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Section: Idealized and Hybrid Simulationsmentioning

confidence: 99%

Dusty star-forming galaxies at high redshift

2014

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“…This comparison requires the generation of mock-photometric magnitudes, which was accomplished using the ray-tracing radiative transfer program SUNRISE (Jonsson 2006). Magnitudes in different bands were calculated for the galaxy oriented at a 45°angle with the midplane defined by the angular momentum axes of the gas within 5 kpc of the center (comoving).…”

Section: Postprocessing Analysismentioning

confidence: 99%

In-N-Out: The Gas Cycle From Dwarfs to Spiral Galaxies

Christensen

Davé

Governato

et al. 2016

ApJ

212

250

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We examine the scalings of galactic outflows with halo mass across a suite of 20 high-resolution cosmological zoom galaxy simulations covering halo masses in the range - . These simulations self-consistently generate outflows from the available supernova energy in a manner that successfully reproduces key galaxy observables, including the stellar mass-halo mass, Tully-Fisher, and mass-metallicity relations. We quantify the importance of ejective feedback to setting the stellar mass relative to the efficiency of gas accretion and star formation. Ejective feedback is increasingly important as galaxy mass decreases; we find an effective mass loading factor that scales asv circ 2.2 , with an amplitude and shape that are invariant with redshift. These scalings are consistent with analytic models for energy-driven wind, based solely on the halo potential. Recycling is common: about half of the outflow mass across all galaxy masses is later reaccreted. The recycling timescale is typically ∼1 Gyr, virtually independent of halo mass. Recycled material is reaccreted farther out in the disk and with typically ∼2-3 times more angular momentum. These results elucidate and quantify how the baryon cycle plausibly regulates star formation and alters the angular momentum distribution of disk material across the halo mass range where most cosmic star formation occurs.

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“…Fortunately, several powerful 3D radiative transfer A&A 550, A74 (2013) codes with these characteristics have recently been developed (e.g. Gordon et al 2001;Baes et al 2003Jonsson 2006;Bianchi 2008;Robitaille 2011).…”

Section: Introductionmentioning

confidence: 99%

FitSKIRT: genetic algorithms to automatically fit dusty galaxies with a Monte Carlo radiative transfer code

Geyter

Baes

Fritz

et al. 2013

A&A

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We present FitSKIRT, a method to efficiently fit radiative transfer models to UV/optical images of dusty galaxies. These images have the advantage that they have better spatial resolution compared to FIR/submm data. FitSKIRT uses the GAlib genetic algorithm library to optimize the output of the SKIRT Monte Carlo radiative transfer code. Genetic algorithms prove to be a valuable tool in handling the multi-dimensional search space as well as the noise induced by the random nature of the Monte Carlo radiative transfer code. FitSKIRT is tested on artificial images of a simulated edge-on spiral galaxy, where we gradually increase the number of fitted parameters. We find that we can recover all model parameters, even if all 11 model parameters are left unconstrained. Finally, we apply the FitSKIRT code to a V-band image of the edge-on spiral galaxy NGC 4013. This galaxy has been modeled previously by other authors using different combinations of radiative transfer codes and optimization methods. Given the different models and techniques and the complexity and degeneracies in the parameter space, we find reasonable agreement between the different models. We conclude that the FitSKIRT method allows comparison between different models and geometries in a quantitative manner and minimizes the need of human intervention and biasing. The high level of automation makes it an ideal tool to use on larger sets of observed data.

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SUNRISE: polychromatic dust radiative transfer in arbitrary geometries

Cited by 313 publications

References 52 publications

Dusty star-forming galaxies at high redshift

Dusty star-forming galaxies at high redshift

In-N-Out: The Gas Cycle From Dwarfs to Spiral Galaxies

FitSKIRT: genetic algorithms to automatically fit dusty galaxies with a Monte Carlo radiative transfer code

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