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Open AccessJournal ArticleDOI

On the flaring of thick discs of galaxies: insights from simulations

TLDR
In this article, the authors analyse how the flaring of mono-age populations (MAPs) influences the surface density and the age structure of geometrically defined thick discs.
Abstract
Using simulated galaxies in their cosmological context, we analyse how the flaring of mono-age populations (MAPs) influences the flaring and the age structure of geometrically-defined thick discs. We also explore under which circumstances the geometric thin and thick discs are meaningfully distinct components, or are part of a single continuous structure as in the Milky Way. We find that flat thick discs are created when MAPs barely flare or have low surface density at the radius where they start flaring. When looking at the vertical distribution of MAPs, these galaxies show a continuous thin/thick structure. They also have radial age gradients and tend to have quiescent merger histories. Those characteristics are consistent with what is observed in the Milky Way. Flared thick discs, on the other hand, are created when the MAPs that flare have a high surface density at the radius where they start flaring. The thick discs' scale-heights can either be dominated by multiple MAPs or just a few, depending on the mass and scale-height distribution of the MAPs. In a large fraction of these galaxies, thin and thick discs are clearly distinct structures. Finally, flared thick discs have diverse radial age gradients and merger histories, with galaxies that are more massive or that have undergone massive mergers showing flatter age radial gradients in their thick disc.

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The Milky Way's external disc constrained by 2MASS star counts

TL;DR: In this article, the authors used the Two Micron All Sky Survey (hereafter 2MASS) along with the Stellar Population Synthesis Model of the Galaxy, developed in Besancon, to constrain the external disc parameters such as its scale length, its cutoff radius, and the slope of the warp.
Journal ArticleDOI

NGC 5746: Formation history of a massive disc-dominated galaxy

TL;DR: The existence of massive galaxies lacking a classical bulge has often been proposed as a challenge to ''Lambda$CDM'' as discussed by the authors, and it has been shown that a fraction of massive disc galaxies might have very quiescent merger histories, and also that mergers do not necessarily build classical bulges.
Journal ArticleDOI

The Milky Way tomography with APOGEE: intrinsic density distribution and structure of mono-abundance populations

TL;DR: In this article , the intrinsic density distribution of MAPs in the Milky Way has been derived by considering the survey selection function and a 2D density model that considers both a broken radial density distribution and radial variation of scale height.
Journal ArticleDOI

Dynamical interplay of disc thickness and interstellar gas: Implication for the longevity of spiral density waves

TL;DR: In this paper , the authors investigate the physical impact of the finite thickness of a galactic disc on the disc stability against the non-axisymmetric perturbations and on the longevity of the spiral density waves, with and without the presence of gas.
References
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Journal ArticleDOI

SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

TL;DR: SciPy as discussed by the authors is an open source scientific computing library for the Python programming language, which includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics.
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emcee: The MCMC Hammer

TL;DR: The emcee algorithm as mentioned in this paper is a Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010).
Journal ArticleDOI

SciPy 1.0: fundamental algorithms for scientific computing in Python.

TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.
Journal ArticleDOI

The Global Schmidt law in star forming galaxies

TL;DR: In this paper, the Schmidt law was used to model the global star formation law over the full range of gas densities and star formation rates observed in galaxies, and the results showed that the SFR scales with the ratio of the gas density to the average orbital timescale.
Journal ArticleDOI

emcee: The MCMC Hammer

TL;DR: This document introduces a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010).
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