Astronomy & Astrophysics (A&A)

SDSS superclusters: morphology and galaxy content

M. Einasto, H. Lietzen, E. Tempel, et al.
Astronomy & Astrophysics 562 A87 (2014)
DOI: 10.1051/0004-6361/201323111
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The massive end of the luminosity and stellar mass functions: dependence on the fit to the light profile

M. Bernardi, A. Meert, R. K. Sheth, et al.
Monthly Notices of the Royal Astronomical Society 436 (1) 697 (2013)
DOI: 10.1093/mnras/stt1607
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NO EVIDENCE FOR A DEPENDENCE OF THE MASS-SIZE RELATION OF EARLY-TYPE GALAXIES ON ENVIRONMENT IN THE LOCAL UNIVERSE

M. Huertas-Company, F. Shankar, S. Mei, et al.
The Astrophysical Journal 779 (1) 29 (2013)
DOI: 10.1088/0004-637X/779/1/29
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A multiple dry merger at z = 0.18: witnessing the assembly of a massive elliptical galaxy

M. E. Filho, P. Brochado, J. Brinchmann, et al.
Monthly Notices of the Royal Astronomical Society 443 (1) 288 (2014)
DOI: 10.1093/mnras/stu1152
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Galaxy size trends as a consequence of cosmology

M. J. Stringer, F. Shankar, G. S. Novak, et al.
Monthly Notices of the Royal Astronomical Society 441 (2) 1570 (2014)
DOI: 10.1093/mnras/stu645
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GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS

Lior Shamir
The Astrophysical Journal 736 (2) 141 (2011)
DOI: 10.1088/0004-637X/736/2/141
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A hybrid approach to machine learning annotation of large galaxy image databases

E. Kuminski and L. Shamir
Astronomy and Computing 25 257 (2018)
DOI: 10.1016/j.ascom.2018.10.008
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GALAXY ZOO MORPHOLOGY AND PHOTOMETRIC REDSHIFTS IN THE SLOAN DIGITAL SKY SURVEY

M. J. Way
The Astrophysical Journal 734 (1) L9 (2011)
DOI: 10.1088/2041-8205/734/1/L9
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Alignment of galaxies relative to their local environment in SDSS-DR8

A. Hirv, J. Pelt, E. Saar, et al.
Astronomy & Astrophysics 599 A31 (2017)
DOI: 10.1051/0004-6361/201629248
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Automatic Detection of Galaxy Type From Datasets of Galaxies Image Based on Image Retrieval Approach

Mohamed Abd El Aziz, I. M. Selim and Shengwu Xiong
Scientific Reports 7 (1) (2017)
DOI: 10.1038/s41598-017-04605-9
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Galaxy Zoo: comparing the demographics of spiral arm number and a new method for correcting redshift bias

Ross E. Hart, Steven P. Bamford, Kyle W. Willett, et al.
Monthly Notices of the Royal Astronomical Society 461 (4) 3663 (2016)
DOI: 10.1093/mnras/stw1588
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Revisiting the bulge–halo conspiracy – II. Towards explaining its puzzling dependence on redshift

Francesco Shankar, Alessandro Sonnenfeld, Philip Grylls, et al.
Monthly Notices of the Royal Astronomical Society 475 (3) 2878 (2018)
DOI: 10.1093/mnras/stx3086
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A panchromatic survey of post-starburst mergers: searching for feedback

Roberto De Propris and Jorge Melnick
Monthly Notices of the Royal Astronomical Society 439 (3) 2837 (2014)
DOI: 10.1093/mnras/stu141
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Galaxy morphology, luminosity, and environment in the SDSS DR7

E. Tempel, E. Saar, L. J. Liivamägi, et al.
Astronomy & Astrophysics 529 A53 (2011)
DOI: 10.1051/0004-6361/201016196
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ON THE INTRINSIC ALIGNMENTS OF THE LATE-TYPE SPIRAL GALAXIES FROM THE SLOAN DIGITAL SKY SURVEY DATA RELEASE 7

Jounghun Lee
The Astrophysical Journal 732 (2) 99 (2011)
DOI: 10.1088/0004-637X/732/2/99
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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)
DOI: 10.1093/mnras/stz427
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Atomic and molecular gas in IllustrisTNG galaxies at low redshift

Benedikt Diemer, Adam R H Stevens, Claudia del P Lagos, et al.
Monthly Notices of the Royal Astronomical Society 487 (2) 1529 (2019)
DOI: 10.1093/mnras/stz1323
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Morphology-based Query for Galaxy Image Databases

Lior Shamir
Publications of the Astronomical Society of the Pacific 129 (972) 024003 (2017)
DOI: 10.1088/1538-3873/129/972/024003
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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)
DOI: 10.1093/mnras/sts150
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Identification of filamentary structures in the environment of superclusters of galaxies in the Local Universe

Iris Santiago-Bautista, César A. Caretta, Héctor Bravo-Alfaro, Etienne Pointecouteau and Heinz Andernach
Astronomy & Astrophysics 637 A31 (2020)
DOI: 10.1051/0004-6361/201936397
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Local galaxies with compact cores as the possible descendants of massive compact quiescent galaxies at high redshift

Ying Gao and Lu-Lu Fan
Research in Astronomy and Astrophysics 20 (7) 106 (2020)
DOI: 10.1088/1674-4527/20/7/106
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SUPERDENSE GALAXIES AND THE MASS-SIZE RELATION AT LOW REDSHIFT

B. M. Poggianti, R. Calvi, D. Bindoni, et al.
The Astrophysical Journal 762 (2) 77 (2013)
DOI: 10.1088/0004-637X/762/2/77
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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)
DOI: 10.1093/mnras/stx2351
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Rotation-invariant convolutional neural networks for galaxy morphology prediction

Sander Dieleman, Kyle W. Willett and Joni Dambre
Monthly Notices of the Royal Astronomical Society 450 (2) 1441 (2015)
DOI: 10.1093/mnras/stv632
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Properties of the Photometric Components of Lenticular Galaxies

J. Alfonso L. Aguerri
Advances in Astronomy 2012 1 (2012)
DOI: 10.1155/2012/382674
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Herschel far-IR counterparts of SDSS galaxies: analysis of commonly used star formation rate estimates

H. Domínguez Sánchez, A. Bongiovanni, M. A. Lara-López, et al.
Monthly Notices of the Royal Astronomical Society 441 (1) 2 (2014)
DOI: 10.1093/mnras/stu503
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Evidence for spin alignment of spiral and elliptical/S0 galaxies in filaments

E. Tempel, R. S. Stoica and E. Saar
Monthly Notices of the Royal Astronomical Society 428 (2) 1827 (2013)
DOI: 10.1093/mnras/sts162
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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)
DOI: 10.1093/mnras/stu135
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Automatic quantitative morphological analysis of interacting galaxies

Lior Shamir, Anthony Holincheck and John Wallin
Astronomy and Computing 2 67 (2013)
DOI: 10.1016/j.ascom.2013.09.002
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Early-type galaxies have been the predominant morphological class for massive galaxies since only z ∼ 1

Fernando Buitrago, Ignacio Trujillo, Christopher J. Conselice and Boris Häußler
Monthly Notices of the Royal Astronomical Society 428 (2) 1460 (2013)
DOI: 10.1093/mnras/sts124
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Non-parametric cell-based photometric proxies for galaxy morphology: methodology and application to the morphologically defined star formation–stellar mass relation of spiral galaxies in the local universe

M. W. Grootes, R. J. Tuffs, C. C. Popescu, et al.
Monthly Notices of the Royal Astronomical Society 437 (4) 3883 (2013)
DOI: 10.1093/mnras/stt2184
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A catalogue of 2D photometric decompositions in the SDSS-DR7 spectroscopic main galaxy sample: preferred models and systematics

Alan Meert, Vinu Vikram and Mariangela Bernardi
Monthly Notices of the Royal Astronomical Society 446 (4) 3943 (2015)
DOI: 10.1093/mnras/stu2333
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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)
DOI: 10.1093/mnras/stt1538
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The morphological transformation of red sequence galaxies in clusters since z ∼ 1

P. Cerulo, W. J. Couch, C. Lidman, et al.
Monthly Notices of the Royal Astronomical Society 472 (1) 254 (2017)
DOI: 10.1093/mnras/stx1687
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The nature of extremely red galaxies in the local universe

Laerte Sodré, Aline Ribeiro da Silva and Walter A. Santos
Monthly Notices of the Royal Astronomical Society 434 (3) 2503 (2013)
DOI: 10.1093/mnras/stt1188
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Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey

Kyle W. Willett, Chris J. Lintott, Steven P. Bamford, et al.
Monthly Notices of the Royal Astronomical Society 435 (4) 2835 (2013)
DOI: 10.1093/mnras/stt1458
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Flux- and volume-limited groups/clusters for the SDSS galaxies: catalogues and mass estimation

E. Tempel, A. Tamm, M. Gramann, et al.
Astronomy & Astrophysics 566 A1 (2014)
DOI: 10.1051/0004-6361/201423585
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Nuclear starburst activity induced by elongated bulges in spiral galaxies

Ho Seong Hwang, Myung Gyoon Lee, Richard de Grijs, et al.
Monthly Notices of the Royal Astronomical Society 479 (1) 562 (2018)
DOI: 10.1093/mnras/sty1451
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Larger sizes of massive quiescent early-type galaxies in clusters than in the field at 0.8 < z < 1.5

L. Delaye, M. Huertas-Company, S. Mei, et al.
Monthly Notices of the Royal Astronomical Society 441 (1) 203 (2014)
DOI: 10.1093/mnras/stu496
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THE CARNEGIE-IRVINE GALAXY SURVEY. IV. A METHOD TO DETERMINE THE AVERAGE MASS RATIO OF MERGERS THAT BUILT MASSIVE ELLIPTICAL GALAXIES

Song Huang(黄崧), Luis C. Ho, Chien Y. Peng, Zhao-Yu Li(李兆聿) and Aaron J. Barth
The Astrophysical Journal 821 (2) 114 (2016)
DOI: 10.3847/0004-637X/821/2/114
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Environmental dependence of bulge-dominated galaxy sizes in hierarchical models of galaxy formation. Comparison with the local Universe

Francesco Shankar, Simona Mei, Marc Huertas-Company, et al.
Monthly Notices of the Royal Astronomical Society 439 (4) 3189 (2014)
DOI: 10.1093/mnras/stt2470
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Stellar mass functions and implications for a variable IMF

M Bernardi, R K Sheth, J-L Fischer, et al.
Monthly Notices of the Royal Astronomical Society 475 (1) 757 (2018)
DOI: 10.1093/mnras/stx3171
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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

Simona Mei, Claudia Scarlata, Laura Pentericci, et al.
The Astrophysical Journal 804 (2) 117 (2015)
DOI: 10.1088/0004-637X/804/2/117
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The Morphological Transformation and the Quenching of Galaxies

Chenxu Liu, Lei Hao, Huiyuan Wang and Xiaohu Yang
The Astrophysical Journal 878 (1) 69 (2019)
DOI: 10.3847/1538-4357/ab1ea0
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The H i and stellar mass bivariate distribution of centrals and satellites for all, late-, and early-type local galaxies

A R Calette, Vladimir Avila-Reese, Aldo Rodríguez-Puebla, Claudia del P Lagos and Barbara Catinella
Monthly Notices of the Royal Astronomical Society 505 (1) 304 (2021)
DOI: 10.1093/mnras/stab1282
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Morphological classification of galaxies with deep learning: comparing 3-way and 4-way CNNs

Mitchell K Cavanagh, Kenji Bekki and Brent A Groves
Monthly Notices of the Royal Astronomical Society 506 (1) 659 (2021)
DOI: 10.1093/mnras/stab1552
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PHYSICAL PROPERTIES OF SPECTROSCOPICALLY CONFIRMED GALAXIES ATz⩾ 6. II. MORPHOLOGY OF THE REST-FRAME UV CONTINUUM AND Lyα EMISSION

Linhua Jiang, Eiichi Egami, Xiaohui Fan, et al.
The Astrophysical Journal 773 (2) 153 (2013)
DOI: 10.1088/0004-637X/773/2/153
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Detection of Intrinsic Spin Alignments in Isolated Spiral Pairs

Hanwool Koo and Jounghun Lee
The Astrophysical Journal 858 (1) 51 (2018)
DOI: 10.3847/1538-4357/aabb01
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The weirdest SDSS galaxies: results from an outlier detection algorithm

Dalya Baron and Dovi Poznanski
Monthly Notices of the Royal Astronomical Society 465 (4) 4530 (2017)
DOI: 10.1093/mnras/stw3021
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Dissecting the morphological and spectroscopic properties of galaxies in the local Universe

J. A. L. Aguerri, M. Huertas-Company, J. Sánchez Almeida and C. Muñoz-Tuñón
Astronomy & Astrophysics 540 A136 (2012)
DOI: 10.1051/0004-6361/201117632
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Selection bias in dynamically measured supermassive black hole samples: its consequences and the quest for the most fundamental relation

Francesco Shankar, Mariangela Bernardi, Ravi K. Sheth, et al.
Monthly Notices of the Royal Astronomical Society 460 (3) 3119 (2016)
DOI: 10.1093/mnras/stw678
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RELATIONS BETWEEN CENTRAL BLACK HOLE MASS AND TOTAL GALAXY STELLAR MASS IN THE LOCAL UNIVERSE

Amy E. Reines and Marta Volonteri
The Astrophysical Journal 813 (2) 82 (2015)
DOI: 10.1088/0004-637X/813/2/82
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OFFSET ACTIVE GALACTIC NUCLEI AS TRACERS OF GALAXY MERGERS AND SUPERMASSIVE BLACK HOLE GROWTH

Julia M. Comerford and Jenny E. Greene
The Astrophysical Journal 789 (2) 112 (2014)
DOI: 10.1088/0004-637X/789/2/112
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Quantitative analysis of spirality in elliptical galaxies

Levente Dojcsak and Lior Shamir
New Astronomy 28 1 (2014)
DOI: 10.1016/j.newast.2013.09.006
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Merging groups and clusters of galaxies from the SDSS data

E. Tempel, T. Tuvikene, R. Kipper and N. I. Libeskind
Astronomy & Astrophysics 602 A100 (2017)
DOI: 10.1051/0004-6361/201730499
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A Virtual Observatory Census to Address Dwarfs Origins (AVOCADO)

R. Sánchez-Janssen, R. Amorín, M. García-Vargas, et al.
Astronomy & Astrophysics 554 A20 (2013)
DOI: 10.1051/0004-6361/201219842
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RELATIONSHIP BETWEEN HUBBLE TYPE AND SPECTROSCOPIC CLASS IN LOCAL GALAXIES

J. Sánchez Almeida, J. A. L. Aguerri, C. Muñoz-Tuñón and M. Huertas-Company
The Astrophysical Journal 735 (2) 125 (2011)
DOI: 10.1088/0004-637X/735/2/125
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THE SPIN ALIGNMENTS IN GALAXY PAIRS AS A TEST OF BOUNCING COUPLED DARK ENERGY

Jounghun Lee
The Astrophysical Journal 751 (2) 153 (2012)
DOI: 10.1088/0004-637X/751/2/153
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Advances in Machine Learning and Data Mining for Astronomy

LUCY FORTSON, KAREN MASTERS, ROBERT NICHOL, et al.
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Advances in Machine Learning and Data Mining for Astronomy 20124949 (2012)
DOI: 10.1201/b11822-16
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ISOPHOTE SHAPES OF EARLY-TYPE GALAXIES IN MASSIVE CLUSTERS ATz∼ 1 AND 0

Kazuma Mitsuda, Mamoru Doi, Tomoki Morokuma, et al.
The Astrophysical Journal 834 (2) 109 (2017)
DOI: 10.3847/1538-4357/834/2/109
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From voids to filaments: environmental transformations of galaxies in the SDSS

Teet Kuutma, Antti Tamm and Elmo Tempel
Astronomy & Astrophysics 600 L6 (2017)
DOI: 10.1051/0004-6361/201730526
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A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations

Lorenzo Zanisi, Marc Huertas-Company, François Lanusse, et al.
Monthly Notices of the Royal Astronomical Society 501 (3) 4359 (2021)
DOI: 10.1093/mnras/staa3864
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A machine learning approach to galaxy–LSS classification – I. Imprints on halo merger trees

Jianan Hui, Miguel Aragon, Xinping Cui and James M Flegal
Monthly Notices of the Royal Astronomical Society 475 (4) 4494 (2018)
DOI: 10.1093/mnras/stx3235
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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)
DOI: 10.1093/mnras/staa501
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MORFOMETRYKA—A NEW WAY OF ESTABLISHING MORPHOLOGICAL CLASSIFICATION OF GALAXIES

F. Ferrari, R. R. de Carvalho and M. Trevisan
The Astrophysical Journal 814 (1) 55 (2015)
DOI: 10.1088/0004-637X/814/1/55
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A catalogue of two-dimensional photometric decompositions in the SDSS-DR7 spectroscopic main galaxy sample: extension togandibands

Alan Meert, Vinu Vikram and Mariangela Bernardi
Monthly Notices of the Royal Astronomical Society 455 (3) 2440 (2016)
DOI: 10.1093/mnras/stv2475
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Improving galaxy morphologies for SDSS with Deep Learning

H Domínguez Sánchez, M Huertas-Company, M Bernardi, D Tuccillo and J L Fischer
Monthly Notices of the Royal Astronomical Society 476 (3) 3661 (2018)
DOI: 10.1093/mnras/sty338
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Combining Human and Machine Learning for Morphological Analysis of Galaxy Images

Evan Kuminski, Joe George, John Wallin and Lior Shamir
Publications of the Astronomical Society of the Pacific 126 (944) 959 (2014)
DOI: 10.1086/678977
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Environments of galaxies in groups within the supercluster-void network

H. Lietzen, E. Tempel, P. Heinämäki, et al.
Astronomy & Astrophysics 545 A104 (2012)
DOI: 10.1051/0004-6361/201219353
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Systematic effects on the size–luminosity relations of early- and late-type galaxies: dependence on model fitting and morphology

M. Bernardi, A. Meert, V. Vikram, et al.
Monthly Notices of the Royal Astronomical Society 443 (1) 874 (2014)
DOI: 10.1093/mnras/stu1106
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Red Misfits in the Sloan Digital Sky Survey: properties of star-forming red galaxies

Fraser A Evans, Laura C Parker and Ian D Roberts
Monthly Notices of the Royal Astronomical Society 476 (4) 5284 (2018)
DOI: 10.1093/mnras/sty581
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AVOIDING PROGENITOR BIAS: THE STRUCTURAL AND MASS EVOLUTION OF BRIGHTEST GROUP AND CLUSTER GALAXIES IN HIERARCHICAL MODELS SINCEz≲ 1

Francesco Shankar, Stewart Buchan, Alessandro Rettura, et al.
The Astrophysical Journal 802 (2) 73 (2015)
DOI: 10.1088/0004-637X/802/2/73
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M*/L gradients driven by IMF variation: large impact on dynamical stellar mass estimates

M Bernardi, R K Sheth, H Dominguez-Sanchez, et al.
Monthly Notices of the Royal Astronomical Society 477 (2) 2560 (2018)
DOI: 10.1093/mnras/sty781
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Modeling Nearly Spherical Pure-bulge Galaxies with a Stellar Mass-to-light Ratio Gradient under the ΛCDM and MOND Paradigms. I. Methodology, Dynamical Stellar Mass, and Fundamental Mass Plane

Kyu-Hyun Chae, Mariangela Bernardi and Ravi K. Sheth
The Astrophysical Journal 860 (1) 81 (2018)
DOI: 10.3847/1538-4357/aac1b9
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The AIverse project: Simulating, analyzing, and describing galaxies and star clusters with artificial intelligence

K. Bekki, J. Diaz and N. Stanley
Astronomy and Computing 28 100286 (2019)
DOI: 10.1016/j.ascom.2019.05.004
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The impact from survey depth and resolution on the morphological classification of galaxies

M. Pović, I. Márquez, J. Masegosa, et al.
Monthly Notices of the Royal Astronomical Society 453 (2) 1644 (2015)
DOI: 10.1093/mnras/stv1663
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The matter distribution in the local Universe as derived from galaxy groups in SDSS DR12 and 2MRS

Christoph Saulder, Eelco van Kampen, Igor V. Chilingarian, Steffen Mieske and Werner W. Zeilinger
Astronomy & Astrophysics 596 A14 (2016)
DOI: 10.1051/0004-6361/201526711
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SDSS-IV MaNGA: bulge–disc decomposition of IFU data cubes (BUDDI)

Evelyn J. Johnston, Boris Häußler, Alfonso Aragón-Salamanca, et al.
Monthly Notices of the Royal Astronomical Society 465 (2) 2317 (2017)
DOI: 10.1093/mnras/stw2823
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No evidence for small disk-like bulges in a sample of late-type spirals

L. Costantin, J. Méndez-Abreu, E. M. Corsini, et al.
Astronomy & Astrophysics 601 A84 (2017)
DOI: 10.1051/0004-6361/201630302
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Galaxy morphologies in the era of big-data surveys

M. Huertas-Company
Proceedings of the International Astronomical Union 11 (S319) 118 (2015)
DOI: 10.1017/S1743921315010911
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Multiband Galaxy Morphologies for CLASH: A Convolutional Neural Network Transferred from CANDELS

M. Pérez-Carrasco, G. Cabrera-Vives, M. Martinez-Marin, et al.
Publications of the Astronomical Society of the Pacific 131 (1004) 108002 (2019)
DOI: 10.1088/1538-3873/aaeeb4
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Comparing pymorph and SDSS photometry – II. The differences are more than semantics and are not dominated by intracluster light

M. Bernardi, J.-L. Fischer, R. K. Sheth, et al.
Monthly Notices of the Royal Astronomical Society 468 (3) 2569 (2017)
DOI: 10.1093/mnras/stx677
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Selection bias in dynamically measured supermassive black hole samples: scaling relations and correlations between residuals in semi-analytic galaxy formation models

Enrico Barausse, Francesco Shankar, Mariangela Bernardi, Yohan Dubois and Ravi K. Sheth
Monthly Notices of the Royal Astronomical Society 468 (4) 4782 (2017)
DOI: 10.1093/mnras/stx799
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Revisiting the Bulge–Halo Conspiracy. I. Dependence on Galaxy Properties and Halo Mass

Francesco Shankar, Alessandro Sonnenfeld, Gary A. Mamon, et al.
The Astrophysical Journal 840 (1) 34 (2017)
DOI: 10.3847/1538-4357/aa66ce
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Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning

Mike Walmsley, Lewis Smith, Chris Lintott, et al.
Monthly Notices of the Royal Astronomical Society 491 (2) 1554 (2020)
DOI: 10.1093/mnras/stz2816
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On the environment of low surface brightness galaxies at different scales

Luis Enrique Pérez-Montaño and Bernardo Cervantes Sodi
Monthly Notices of the Royal Astronomical Society 490 (3) 3772 (2019)
DOI: 10.1093/mnras/stz2847
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Smaller stellar disc scale lengths in rich environments

Melanie L Demers, Laura C Parker and Ian D Roberts
Monthly Notices of the Royal Astronomical Society 489 (2) 2216 (2019)
DOI: 10.1093/mnras/stz2305
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The Hubble Sequence at z ∼ 0 in the IllustrisTNG simulation with deep learning

Marc Huertas-Company, Vicente Rodriguez-Gomez, Dylan Nelson, et al.
Monthly Notices of the Royal Astronomical Society 489 (2) 1859 (2019)
DOI: 10.1093/mnras/stz2191
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Star Formation and Morphological Properties of Galaxies in the Pan-STARRS 3π Survey. I. A Machine-learning Approach to Galaxy and Supernova Classification

A. Baldeschi, A. Miller, M. Stroh, R. Margutti and D. L. Coppejans
The Astrophysical Journal 902 (1) 60 (2020)
DOI: 10.3847/1538-4357/abb1c0
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Galaxies image classification using artificial bee colony based on orthogonal Gegenbauer moments

Mohamed Abd Elaziz, Khalid M. Hosny and I. M. Selim
Soft Computing 23 (19) 9573 (2019)
DOI: 10.1007/s00500-018-3521-2
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SpArcFiRe: Enhancing Spiral Galaxy Recognition Using Arm Analysis and Random Forests

Pedro Silva, Leon Cao and Wayne Hayes
Galaxies 6 (3) 95 (2018)
DOI: 10.3390/galaxies6030095
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The massive end of the luminosity and stellar mass functions and clustering from CMASS to SDSS: evidence for and against passive evolution

M. Bernardi, A. Meert, R. K. Sheth, et al.
Monthly Notices of the Royal Astronomical Society 455 (4) 4122 (2016)
DOI: 10.1093/mnras/stv2487
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Two-dimensional multi-component photometric decomposition of CALIFA galaxies

J. Méndez-Abreu, T. Ruiz-Lara, L. Sánchez-Menguiano, et al.
Astronomy & Astrophysics 598 A32 (2017)
DOI: 10.1051/0004-6361/201629525
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Only marginal alignment of disc galaxies

René Andrae and Knud Jahnke
Monthly Notices of the Royal Astronomical Society 418 (3) 2014 (2011)
DOI: 10.1111/j.1365-2966.2011.19620.x
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KILOPARSEC-SCALE RADIO STRUCTURES IN NARROW-LINE SEYFERT 1 GALAXIES

Akihiro Doi, Hiroshi Nagira, Nozomu Kawakatu, et al.
The Astrophysical Journal 760 (1) 41 (2012)
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