A classical morphological analysis of galaxies in the Spitzer survey of stellar structure in galaxies (S4G)

RJ Buta, K Sheth, E Athanassoula… - The Astrophysical …, 2015 - iopscience.iop.org
ABSTRACT The Spitzer Survey of Stellar Structure in Galaxies (S 4 G) is the largest
available database of deep, homogeneous middle-infrared (mid-IR) images of galaxies of all …

Semi-empirical analysis of Sloan Digital Sky Survey galaxies–II. The bimodality of the galaxy population revisited

A Mateus, L Sodré, RC Fernandes… - Monthly Notices of …, 2006 - academic.oup.com
We revisit the bimodal distribution of the galaxy population commonly seen in the local
universe. Here, we address the bimodality observed in galaxy properties in terms of spectral …

New image statistics for detecting disturbed galaxy morphologies at high redshift

PE Freeman, R Izbicki, AB Lee… - Monthly Notices of …, 2013 - academic.oup.com
Testing theories of hierarchical structure formation requires estimating the distribution of
galaxy morphologies and its change with redshift. One aspect of this investigation involves …

On the nature of disks at high redshift seen by JWST/CEERS with contrastive learning and cosmological simulations

J Vega-Ferrero, L Costantin… - The Astrophysical …, 2024 - iopscience.iop.org
Visual inspections of the first optical rest-frame images from JWST have indicated a
surprisingly high fraction of disk galaxies at high redshifts. Here, we alternatively apply self …

Identification of tidal features in deep optical galaxy images with convolutional neural networks

HD Sánchez, G Martin, I Damjanov… - Monthly Notices of …, 2023 - academic.oup.com
Interactions between galaxies leave distinguishable imprints in the form of tidal features,
which hold important clues about their mass assembly. Unfortunately, these structures are …

Scalelength of disc galaxies

K Fathi, M Allen, T Boch… - Monthly Notices of …, 2010 - academic.oup.com
We have derived disc scalelengths for 30 374 non-interacting disc galaxies in all five Sloan
Digital Sky Survey (SDSS) bands. Virtual Observatory methods and tools were used to …

A new approach to galaxy morphology. I. Analysis of the Sloan Digital Sky Survey early data release

RG Abraham, S Van Den Bergh… - The Astrophysical …, 2003 - iopscience.iop.org
In this paper we present a new statistic for quantifying galaxy morphology based on
measurements of the Gini coefficient of galaxy light distributions. This statistic is easy to …

Galaxy detection and identification using deep learning and data augmentation

RE González, RP Munoz, CA Hernández - Astronomy and computing, 2018 - Elsevier
We present a method for automatic detection and classification of galaxies which includes a
novel data-augmentation procedure to make trained models more robust against the data …

Beyond the hubble sequence–exploring galaxy morphology with unsupervised machine learning

TY Cheng, M Huertas-Company… - Monthly Notices of …, 2021 - academic.oup.com
We explore unsupervised machine learning for galaxy morphology analyses using a
combination of feature extraction with a vector-quantized variational autoencoder (VQ-VAE) …

The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys

F Lanusse - Publications of the Astronomical Society of Australia, 2023 - cambridge.org
The amount and complexity of data delivered by modern galaxy surveys has been steadily
increasing over the past years. New facilities will soon provide imaging and spectra of …