Results 71 to 80 of about 5,210 (162)

Local variations of the radial metallicity gradient in a simulated NIHAO-UHD Milky Way analogue and their implications for (extra-)galactic studies

The Open Journal of Astrophysics
Radial metallicity gradients are fundamental to understanding galaxy formation and evolution. In our high-resolution simulation of a NIHAO-UHD Milky Way analogue, we analyze the linearity, scatter, spatial coherence, and age-related variations of ...
Sven Buder, Tobias Buck, Qian-Hui Chen, Kathryn Grasha   +3 more
doaj   +1 more source

ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback

The Astrophysical Journal
We introduce new high-resolution galaxy simulations accelerated by a surrogate model that reduces the computation cost by approximately 75%. Massive stars with a zero-age main-sequence mass of more than about 10 M _⊙ explode as core-collapse supernovae ...
Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii, Yutaka Hirai, Takayuki R. Saitoh, Junichiro Makino, Ulrich P. Steinwandel, Shirley Ho   +7 more
doaj   +1 more source

The Formation and Evolution of Galaxies [PDF]

, 2016
openaire   +2 more sources

Dwarf Galaxies: Keys to Galaxy Formation and Evolution [PDF]

, 2012
Papaderos, Polychronis, Recchi, Simone, Hensler, Gerhard   +2 more
openaire   +3 more sources

Simulations of multi-phase gas in and around galaxies. [PDF]

Living Rev Comput Astrophys
Gronke M, E Schneider E.
europepmc   +1 more source

Origins and lifetimes of secular and tidal bars in simulated disc galaxies. [PDF]

Mon Not R Astron Soc
Frosst M, Obreschkow D, Ludlow A, Fraser-McKelvie A.   +3 more
europepmc   +1 more source

Stellar feedback drives the baryon deficiency in low-mass galaxies. [PDF]

Sci Adv
Yu H, Wang E, Chen Z, Péroux C, Zou H, He Z, Wang H, Lyu C, Jia C, Ma C, Kong X.   +10 more
europepmc   +1 more source

The era of precision cosmology with voids. [PDF]

Astron Astrophys Rev
Contarini S, Verza G, Pisani A.
europepmc   +1 more source

Galaxy formation and evolution [PDF]

Choice Reviews Online, 2006
openaire   +1 more source

Unsupervised multimodal deep learning for galaxy morphology taxonomy: integrating ConvNeXtEmbeddings and morphological parameters for scalable survey science. [PDF]

Sci Rep
Selim IM, Farahat AS, Basmsm LH, El-Hameed AMA.   +3 more
europepmc   +1 more source