Galaxy clustering and galaxy clusters from the UKIDSS DXS [PDF]
Recent wide and deep surveys allow us to investigate the large scale structure of the Universe at high redshift. We present studies of the clustering of high redshift galaxies and galaxy clusters, using reprocessed UKIDSS DXS catalogues.
Kim, Jae Woo, KIM, JAE,WOO
core
High-frequency Fast Radio Burst Search of Nearby Star-forming Galaxies M77 and M82
The astrophysical origins of fast radio bursts (FRBs) are still unknown, but magnetars are a strong candidate for producing at least some FRBs. To investigate the magnetar progenitor model, we conducted a deep search of M77 and M82, two nearby galaxies ...
Robert S. Wharton +8 more
doaj +1 more source
Stellar Metallicities and Gradients in the Faint M31 Satellites Andromeda XVI and Andromeda XXVIII
We present ∼300 stellar metallicity measurements in two faint M31 dwarf galaxies, Andromeda XVI ( M _V = −7.5) and Andromeda XXVIII ( M _V = –8.8), derived using metallicity-sensitive calcium H and K narrowband Hubble Space Telescope imaging.
Sal Wanying Fu +13 more
doaj +1 more source
E. B. DOLINSKAYA’S SCIENTIFIC GALAXY
This article is a tribute to Elena Borisovna Dolinskaya, a Teacher, Master, Musician, Scholar and Outstanding Cultural Figure, on the occasion of her jubilee. A researcher’s portrait is created through his or her personality and work. The portrait of a scholar and teacher is created by students.
openaire +1 more source
Origins and lifetimes of secular and tidal bars in simulated disc galaxies. [PDF]
Frosst M +3 more
europepmc +1 more source
Orbiting, colliding, and merging liquid lenses on a soap film: Toward gravitational analogs. [PDF]
Martischang JP +5 more
europepmc +1 more source
Formation time-scales for stellar bars in diverse galactic discs. [PDF]
Frosst M, Obreschkow D, Ludlow A.
europepmc +1 more source
A Discrete Informational Framework for Classical Gravity: Ledger Foundations and Galaxy Rotation Curve Constraints. [PDF]
Simons M, Allahyarov E, Washburn J.
europepmc +1 more source
Unsupervised multimodal deep learning for galaxy morphology taxonomy: integrating ConvNeXtEmbeddings and morphological parameters for scalable survey science. [PDF]
Selim IM +3 more
europepmc +1 more source
Galaxy Evolution with Manifold Learning. [PDF]
Takeuchi TT, Cooray S, Kano RR.
europepmc +1 more source

