2015
DOI: 10.1093/mnras/stv2565
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Assessing the Jeans Anisotropic Multi-Gaussian Expansion method with the Illustris simulation

Abstract: We assess the effectiveness of the Jeans-Anisotropic-MGE (JAM) technique with a state-of-the-art cosmological hydrodynamic simulation, the Illustris project. We perform JAM modelling on 1413 simulated galaxies with stellar mass M * > 10 10 M , and construct an axisymmetric dynamical model for each galaxy. Combined with a Markov Chain Monte Carlo (MCMC) simulation, we recover the projected root-mean-square velocity (V rms ) field of the stellar component, and investigate constraints on the stellar mass-to-light… Show more

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Cited by 61 publications
(84 citation statements)
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“…Although there is some covariance between the model parameters, the resulting total mass profile, is extremely robust 50 .…”
Section: Methodsmentioning
confidence: 99%
“…Although there is some covariance between the model parameters, the resulting total mass profile, is extremely robust 50 .…”
Section: Methodsmentioning
confidence: 99%
“…Among 562 elliptical galaxies observed in the first year, 160 are rejected due to one offour reasons: many pixels having unphysical velocity dispersion (38), having fewer than 20 Voronoi bins (51), having a foreground star (12), orbeing a merger or in a close pair (59). Among the remaining 402 galaxies, we run JAM within aMarkov chain Monte Carlo (MCMC) framework, as described by Li et al (2016). From these, we estimated the statistical uncertainty on the enclosed gravitating mass and the dark matter fraction, using the 1D marginalized MCMC distributions.…”
Section: Enclosed Gravitating Mass and Dark Matter Fractionmentioning
confidence: 99%
“…In light of the recent work by Li et al (2016), it is apparent that these random errors are dwarfed by the systematic error associated with the JAM method. Li et al (2016) evaluated the accuracy of the JAM method using simulated galaxies from the Illustrius project (Genel et al 2014;Nelson et al 2015).…”
Section: Enclosed Gravitating Mass and Dark Matter Fractionmentioning
confidence: 99%
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“…The ability of axisymmetric Jeans models to recover the mass profile and velocity anisotropy of different types of galaxies has already been established statistically with thousands of simulated galaxies in Li et al (2016). We focus on testing how well we are able to distinguish two chemically and kinematically distinct populations from discrete data, while simultaneously recovering the underlying gravitational potential.…”
Section: Application To Mock Datamentioning
confidence: 99%