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Similar Image Retrieval using Autoencoder. I. Automatic Morphology Classification of Galaxies
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Multiwavelength Bulge–Disk Decomposition for the Galaxy M81 (NGC 3031). I. Morphology
Effect of AGN on the morphological properties of their host galaxies in the local Universe
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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
Automatic identification of outliers in Hubble Space Telescope galaxy images
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
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
Effect of richness on AGN and star formation activities in SDSS galaxy groups
Feng Li, Yi-Zhou Gu, Qi-Rong Yuan, et al. Monthly Notices of the Royal Astronomical Society 484(3) 3806 (2019) https://doi.org/10.1093/mnras/stz267
Galaxy morphology prediction using Capsule Networks
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Galaxies image classification using artificial bee colony based on orthogonal Gegenbauer moments
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
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
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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
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 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
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
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
MORPHOLOGICAL PARAMETERS OF ASPITZERSURVEY OF STELLAR STRUCTURE IN GALAXIES
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
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
AGN-host galaxy connection: morphology and colours of X-ray selected AGN atz ≤ 2
