Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Brainerd, Tereasa"'
We investigate the properties of voids and void galaxies in the \texttt{TNG300} simulation. Using a luminous galaxy catalog and a spherical void finding algorithm, we identify 5,078 voids at redshift $z = 0$. Within the voids, mass does not directly
Externí odkaz:
http://arxiv.org/abs/2401.02322
Recent cosmological hydrodynamical simulations have produced populations of numerical galaxies whose global star-forming properties are in good agreement with those of observed galaxies. Proper modeling of energetic feedback from supernovae and activ
Externí odkaz:
http://arxiv.org/abs/2309.16800
Autor:
Samuels, Adam, Brainerd, Tereasa G.
A recent observational study found that the projected spatial distributions of the satellites of bright, isolated host galaxies tend to be lopsided with respect to the locations of the hosts. Here, we examine the spatial distributions of the satellit
Externí odkaz:
http://arxiv.org/abs/2303.04802
Autor:
McDonough, Bryanne, Brainerd, Tereasa
Publikováno v:
ApJ 933 161 (2022)
We investigate the spatial distribution of the satellites of isolated host galaxies in the TNG100 simulation. In agreement with a previous, similar analysis of the Illustris-1 simulation, the satellites are typically poor tracers of the mean host mas
Externí odkaz:
http://arxiv.org/abs/2206.00045
A Generative Adversarial Network (GAN) was used to investigate the statistics and properties of voids in a $\Lambda$CDMuniverse. The total number of voids and the distribution of void sizes is similar in both sets of images and, within the formal err
Externí odkaz:
http://arxiv.org/abs/2106.04014
Autor:
Brainerd, Tereasa G., Samuels, Adam
We investigate the spatial distribution of the satellites of bright, isolated host galaxies. In agreement with previous studies, we find that, on average, the satellites of red hosts are found preferentially close to their hosts' major axes, while th
Externí odkaz:
http://arxiv.org/abs/2007.04703
Autor:
Curtis, Olivia, Brainerd, Tereasa G.
Publikováno v:
Res. Notes AAS, 4, 90 (2020)
Generative Adversarial Networks (GANs) are a recent advancement in unsupervised machine learning. They are a cat-and-mouse game between two neural networks: [1] a discriminator network which learns to validate whether a sample is real or fake compare
Externí odkaz:
http://arxiv.org/abs/2006.11359
Autor:
Brainerd, Tereasa G., Yamamoto, Masaya
We investigate the locations of satellite galaxies in the z = 0 redshift slice of the hydrodynamical Illustris-1 simulation. As expected from previous work, the satellites are distributed anisotropically in the plane of the sky, with a preference for
Externí odkaz:
http://arxiv.org/abs/1811.04942
Autor:
Brainerd, Tereasa G.
Number density profiles are computed for the satellites of relatively isolated host galaxies in the Illustris-1 simulation. The mean total mass density of the hosts is well-fitted by an NFW profile. The number density profile for the complete satelli
Externí odkaz:
http://arxiv.org/abs/1810.12914
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