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Because of the 3D nature of galaxies, an algorithm for constructing spatial density distribution models of galaxies on the basis of galaxy images has many advantages over surface density distribution approximations. We present a method for…

Cosmology and Nongalactic Astrophysics · Physics 2015-10-28 E. Tempel , A. Tamm , R. Kipper , P. Tenjes

Merging galaxies play a key role in galaxy evolution, and progress in our understanding of galaxy evolution is slowed by the difficulty of making accurate galaxy merger identifications. We use GADGET-3 hydrodynamical simulations of merging…

Astrophysics of Galaxies · Physics 2020-03-18 Nevin , R. , Blecha , L. , Comerford , J. , Greene , J

We combine the exceptional depth of the Hubble Ultra Deep Field (HUDF) images and the deep GRism ACS Program for Extragalactic Science (GRAPES) grism spectroscopy to explore the stellar populations of 34 bulges belonging to late-type…

Astrophysics · Physics 2010-10-20 N. P. Hathi , I. Ferreras , A. Pasquali , S. Malhotra , J. E. Rhoads , N. Pirzkal , R. A. Windhorst , C. Xu

We present a selection of candidates of clusters and protoclusters of galaxies identified in the photometric data of the HSC-SSP Wide Public Data Release 3 (PDR3), spanning the redshift range $\rm 0.1 \leq z \leq 2$. The selection method,…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-14 Marcelo C. Vicentin , Laerte Sodré , Michael A. Strauss , Erik V. R. de Lima , Pablo Araya-Araya

We present a comprehensive study of the nature of the SDSS galaxies divided into various classes based on their morphology, colour, and spectral features. The SDSS galaxies are classified into early-type and late-type; red and blue;…

Astrophysics · Physics 2009-11-13 Joon Hyeop Lee , Myung Gyoon Lee , Changbom Park , Yun-Young Choi

The two-step galaxy morphology classification framework {\tt USmorph} successfully combines unsupervised machine learning (UML) with supervised machine learning (SML) methods. To enhance the UML step, we employed a dual-encoder architecture…

Astrophysics of Galaxies · Physics 2025-12-22 Xiaolei Yin , Guanwen Fang , Shiying Lu , Zesen Lin , Yao Dai , Chichun Zhou

Galaxy morphology is a fundamental quantity, that is essential not only for the full spectrum of galaxy-evolution studies, but also for a plethora of science in observational cosmology. While a rich literature exists on…

Astrophysics of Galaxies · Physics 2020-01-08 Garreth Martin , Sugata Kaviraj , Alex Hocking , Shaun C. Read , James E. Geach

We revisit the color bimodality of galaxies using the extensive EFIGI morphological classification of nearby galaxies. The galaxy SDSS images in the g, r and i bands are decomposed as bulge+disk using SourceXtractor++. The spectral energy…

Astrophysics of Galaxies · Physics 2022-11-02 Louis Quilley , Valérie de Lapparent

AIMS: We present in this work low and intermediate resolution spectroscopic data collected for 152 early type galaxies in 8 nearby clusters with z $\leq$ 0.10. METHODS: We use low resolution data to produce the redshift and the K-correction…

Astrophysics · Physics 2009-11-11 D. Bettoni , M. Moles , P. Kjaergaard , G. Fasano , J. Varela

To gain deeper insights into galaxy evolution and the mechanisms driving transitions between different galaxy morphologies, we analyse the connection between star formation rate and stellar mass for 231 galaxies spanning Hubble types E1-Sdm…

Astrophysics of Galaxies · Physics 2026-02-23 Veselina Kalinova , Keiichi Kodaira , Dario Colombo

We use bulge-type classifications of 809 representative SDSS galaxies by Gadotti (2009) to classify a large sample of galaxies into real bulges (classical or elliptical) and pseudobulges using Random Forest. We use structural and stellar…

Astrophysics of Galaxies · Physics 2020-02-05 Hassen M. Yesuf , S. M. Faber , David C. Koo , Joanna Woo , Joel R. Primack , Yifei Luo

We compare the photometric properties and specific star formation rate (sSFR) of classical and pseudo-bulge galaxies with $M_* \ge 10^{9.5} \rm M_{\odot}$ at $0.5\le z<1.0$, selected from all five CANDELS fields. We also compare these…

Astrophysics of Galaxies · Physics 2024-11-06 Jia Hu , Qifan Cui , Lan Wang , Wenxiang Pei , Junqiang Ge

Recent observations with the James Webb Space Telescope (JWST) have begun to reveal a surprising morphological diversity in galaxies within the first billion years after the Big Bang, including indications of structural maturity previously…

Astrophysics of Galaxies · Physics 2025-10-30 Anshuman Borgohain , Kanak Saha

We present photometric and morphological analyses of nuclear star clusters (NSCs) -- very dense, massive star clusters present in the central regions of most galaxies -- in a sample of 33 massive disk galaxies within 20 Mpc, part of the…

Autonomous digital sky surveys such as Pan-STARRS have the ability to image a very large number of galactic and extra-galactic objects, and the large and complex nature of the image data reinforces the use of automation. Here we describe…

Astrophysics of Galaxies · Physics 2020-12-16 Hunter Goddard , Lior Shamir

Abridged] We present here new results on the space density of rich, optically-selected, clusters of galaxies at low redshift (z<0.15). These results are based on the application of the matched filter cluster-finding algorithm to 1067 deg2…

Astrophysics · Physics 2009-10-31 D. A. Bramel , R. C. Nichol , A. C. Pope

We explore the correlation between morphological types and mid-infrared (MIR) properties of an optically flux-limited sample of 154 galaxies from the Forth Data Release (DR4) of Sloan Digital Sky Survey (SDSS), cross-correlated with Spitzer…

Astrophysics · Physics 2009-11-13 Haining Li , Hong Wu , Chen Cao , Yinan Zhu

We present a complete POSS II-based refinement of the optical morphologies for galaxies in the Karatchenseva's Catalog of Isolated Galaxies that forms the basis of the AMIGA project. Comparison with independent classifications made for an…

We present a catalogue of bulgeless galaxies, which includes 19225 objects selected in four of the deepest, largest multi-wavelength datasets available -- COSMOS, AEGIS, GEMS and GOODS -- at intermediate redshift ($0.4 \leq z \leq 1.0$).…

We measure the spatial clustering of galaxies as a function of their morphological type at z~0.8, for the first time in a deep redshift survey with full morphological information. This is obtained by combining high-resolution HST imaging…