Results 121 to 130 of about 85,185 (266)
Disk Galaxy Formation in a Λ Cold Dark Matter Universe [PDF]
Brant Robertson +3 more
openalex +1 more source
The First Quenched Galaxies: When and How?
Many quiescent galaxies discovered in the early Universe by JWST raise fundamental questions on when and how these galaxies became and stayed quenched. Making use of the latest version of the semianalytic model GAEA that provides good agreement with the ...
Lizhi Xie +13 more
doaj +1 more source
Formation and Evolution of Disk Galaxies [PDF]
C. Firmani, V. Ávila-Reese
openalex +1 more source
A Full Accounting of the Visible Mass in SDSS MaNGA Disk Galaxies
We present a study of the ratio of visible mass to total mass in spiral galaxies to better understand the relative amount of dark matter present in galaxies of different masses and evolutionary stages.
Nitya Ravi +2 more
doaj +1 more source
Stochastic 2-D Galaxy disk Evolution Models. Resolved Stellar Populations in the Galaxy M33
We improved the stochastic 2-D galaxy disk models (Mineikis & Vansevičius 2014a) by introducing enriched gas outflows from galaxies and synthetic color-magnitude diagrams of stellar populations.
Mineikis T., Vansevičius V.
doaj +1 more source
What determines the bulge to disk ratio of galaxies [PDF]
Galaxies having the same luminosity may have very different bulge to disk ratios, while the mean bulge to disk ratio slowly increases with total luminosity (Schecter and Dressler, 1987, Sandage et al., 1985).
Roos, Nico
core +1 more source
A supermassive black hole binary may form during galaxy mergering. we investigate the interaction of the supermassive binary black holes (SMBBHs) and an accretion disk and show that the detected X-shaped structure in some FRII radio galaxies may be due ...
F. K. Liu, Sudou
core +1 more source
The rapid onset of stellar bars in the baryon-dominated centers of disk galaxies [PDF]
Joss Bland‐Hawthorn +3 more
openalex +1 more source
Can We Discover Physical Models Using Machine Learning? A Case Study of Galaxy Sizes
We explore the ability of machine learning methods to discover underlying equations of physics by searching for the equations governing galaxy size in a semianalytic model. This case study allows us to evaluate the process as we know the ground truth. We
Festa Buçinca-Çupallari +4 more
doaj +1 more source

