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The Growth of Galaxy Stellar Haloes over 0.2 ≤ z ≤ 1.1
Devin J. Williams, Ivana Damjanov, Marcin Sawicki, Harrison Souchereau, Lingjian Chen, Guillaume Desprez, Angelo George, Marianna Annunziatella, Stéphane Arnouts, Stephen Gwyn, Danilo Marchesini and Anna Sajina The Astrophysical Journal 989(1) 107 (2025) https://doi.org/10.3847/1538-4357/ade9a8
Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data
Zhijian Luo, Jianzhen Chen, Zhu Chen, Shaohua Zhang, Liping Fu, Hubing Xiao and Chenggang Shu The Astrophysical Journal Supplement Series 279(1) 17 (2025) https://doi.org/10.3847/1538-4365/addb4c
Morphology of Galaxies in JWST Fields: Initial Distribution and Evolution of Galaxy Morphology
Similar Image Retrieval using Autoencoder. I. Automatic Morphology Classification of Galaxies
Eunsuk Seo, Suk Kim, Youngdae Lee, Sang-Il Han, Hak-Sub Kim, Soo-Chang Rey and Hyunmi Song Publications of the Astronomical Society of the Pacific 135(1050) 084101 (2023) https://doi.org/10.1088/1538-3873/ace851
Multiwavelength Bulge–Disk Decomposition for the Galaxy M81 (NGC 3031). I. Morphology
Panic! at the Disks: First Rest-frame Optical Observations of Galaxy Structure at z > 3 with JWST in the SMACS 0723 Field
Leonardo Ferreira, Nathan Adams, Christopher J. Conselice, Elizaveta Sazonova, Duncan Austin, Joseph Caruana, Fabricio Ferrari, Aprajita Verma, James Trussler, Tom Broadhurst, Jose Diego, Brenda L. Frye, Massimo Pascale, Stephen M. Wilkins, Rogier A. Windhorst and Adi Zitrin The Astrophysical Journal Letters 938(1) L2 (2022) https://doi.org/10.3847/2041-8213/ac947c
Effect of AGN on the morphological properties of their host galaxies in the local Universe
Tilahun Getachew-Woreta, Mirjana Pović, Josefa Masegosa, et al. Monthly Notices of the Royal Astronomical Society 514(1) 607 (2022) https://doi.org/10.1093/mnras/stac851
Deep extragalactic visible legacy survey (DEVILS): stellar mass growth by morphological type since z = 1
Abdolhosein Hashemizadeh, Simon P Driver, Luke J M Davies, et al. Monthly Notices of the Royal Astronomical Society 505(1) 136 (2021) https://doi.org/10.1093/mnras/stab600
Automatic identification of outliers in Hubble Space Telescope galaxy images
Galaxy morphological classification catalogue of the Dark Energy Survey Year 3 data with convolutional neural networks
Ting-Yun Cheng, Christopher J Conselice, Alfonso Aragón-Salamanca, et al. Monthly Notices of the Royal Astronomical Society 507(3) 4425 (2021) https://doi.org/10.1093/mnras/stab2142
Nonparametric galaxy morphology from UV to submm wavelengths
Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging
Ting-Yun Cheng, Christopher J Conselice, Alfonso Aragón-Salamanca, et al. Monthly Notices of the Royal Astronomical Society 493(3) 4209 (2020) https://doi.org/10.1093/mnras/staa501
A Catalog of Broad Morphology of Pan-STARRS Galaxies Based on Deep Learning
A morphological study of galaxies in ZwCl0024+1652, a galaxy cluster at redshift z ∼ 0.4
Zeleke Beyoro Amado, Mirjana Pović, Miguel Sánchez-Portal, et al. Monthly Notices of the Royal Astronomical Society 485(2) 1528 (2019) https://doi.org/10.1093/mnras/stz427
Evolution of the Three-dimensional Shape of Passively Evolving and Star-forming Galaxies at z < 1
Galaxy morphology prediction using Capsule Networks
Razvan Bunescu, Ryan Chornock, Yadi Zhou and Reza Katebi Monthly Notices of the Royal Astronomical Society 486(2) 1539 (2019) https://doi.org/10.1093/mnras/stz915
Machine Learning Applied to Star–Galaxy–QSO Classification and Stellar Effective Temperature Regression
A machine-learning approach for identifying the counterparts of submillimetre galaxies and applications to the GOODS-North field
Ruihan Henry Liu, Ryley Hill, Douglas Scott, et al. Monthly Notices of the Royal Astronomical Society 489(2) 1770 (2019) https://doi.org/10.1093/mnras/stz2228
An automatic taxonomy of galaxy morphology using unsupervised machine learning
Alex Hocking, James E. Geach, Yi Sun and Neil Davey Monthly Notices of the Royal Astronomical Society 473(1) 1108 (2018) https://doi.org/10.1093/mnras/stx2351
Support vector machine classification of strong gravitational lenses
P. Hartley, R. Flamary, N. Jackson, A. S. Tagore and R. B. Metcalf Monthly Notices of the Royal Astronomical Society 471(3) 3378 (2017) https://doi.org/10.1093/mnras/stx1733
Analysis of a custom support vector machine for photometric redshift estimation and the inclusion of galaxy shape information
A support vector machine for spectral classification of emission-line galaxies from the Sloan Digital Sky Survey
Fei Shi, Yu-Yan Liu, Guang-Lan Sun, et al. Monthly Notices of the Royal Astronomical Society 453(1) 122 (2015) https://doi.org/10.1093/mnras/stv1617
STAR-FORMING BLUE ETGS IN TWO NEWLY DISCOVERED GALAXY OVERDENSITIES IN THE HUDF ATz= 1.84 AND 1.9: UNVEILING THE PROGENITORS OF PASSIVE ETGS IN CLUSTER CORES
Proceedings of the 2015 Chinese Intelligent Automation Conference
Wenyu Wang and Bin Jiang Lecture Notes in Electrical Engineering, Proceedings of the 2015 Chinese Intelligent Automation Conference 336 209 (2015) https://doi.org/10.1007/978-3-662-46469-4_22
The trace of a substantial assembly of massive E-S0 galaxies at 0.8 < z < 1.5 in galaxy number counts
The morphological transformation of red sequence galaxies in the distant cluster XMMU J1229+0151
P. Cerulo, W. J. Couch, C. Lidman, et al. Monthly Notices of the Royal Astronomical Society 439(3) 2790 (2014) https://doi.org/10.1093/mnras/stu135
X‐ray luminosity functions of different morphological and X‐ray type AGN populations
M. Pović, A.M. Pérez García, M. Sánchez‐Portal, A. Bongiovanni, J. Cepa, M. Fernández Lorenzo, M.A. Lara‐López, J. Gallego, A. Ederoclite, I. Márquez, J. Masegosa, E. Alfaro, H. Castañeda, J.I. González‐Serrano and J.J. González Astronomische Nachrichten 334(3) 288 (2013) https://doi.org/10.1002/asna.201211840
Data mining for cataclysmic variables in the Large Sky Area Multi-Object Fibre Spectroscopic Telescope archive
Bin Jiang, Ali Luo, Yongheng Zhao and Peng Wei Monthly Notices of the Royal Astronomical Society 430(2) 986 (2013) https://doi.org/10.1093/mnras/sts665
The evolution of the mass–size relation for early-type galaxies from z ∼ 1 to the present: dependence on environment, mass range and detailed morphology
M. Huertas-Company, S. Mei, F. Shankar, et al. Monthly Notices of the Royal Astronomical Society 428(2) 1715 (2013) https://doi.org/10.1093/mnras/sts150
MORPHOLOGICAL PARAMETERS OF ASPITZERSURVEY OF STELLAR STRUCTURE IN GALAXIES
The ALHAMBRA survey: reliable morphological catalogue of 22 051 early- and late-type galaxies
M. Pović, M. Huertas-Company, J. A. L. Aguerri, et al. Monthly Notices of the Royal Astronomical Society 435(4) 3444 (2013) https://doi.org/10.1093/mnras/stt1538
AGN-host galaxy connection: morphology and colours of X-ray selected AGN atz ≤ 2
