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 …

Machine learning for observational cosmology

K Moriwaki, T Nishimichi… - Reports on Progress in …, 2023 - iopscience.iop.org
An array of large observational programs using ground-based and space-borne telescopes
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …

Painting a portrait of the Galactic disc with its stellar clusters

T Cantat-Gaudin, F Anders, A Castro-Ginard… - Astronomy & …, 2020 - aanda.org
Context. The large astrometric and photometric survey performed by the Gaia mission allows
for a panoptic view of the Galactic disc and its stellar cluster population. Hundreds of stellar …

Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data

R Hausen, BE Robertson - The Astrophysical Journal …, 2020 - iopscience.iop.org
We present Morpheus, a new model for generating pixel-level morphological classifications
of astronomical sources. Morpheus leverages advances in deep learning to perform source …

Detection, instance segmentation, and classification for astronomical surveys with deep learning (deepdisc): detectron2 implementation and demonstration with …

G Merz, Y Liu, CJ Burke, PD Aleo, X Liu… - Monthly Notices of …, 2023 - academic.oup.com
The next generation of wide-field deep astronomical surveys will deliver unprecedented
amounts of images through the 2020s and beyond. As both the sensitivity and depth of …

The challenge of blending in large sky surveys

P Melchior, R Joseph, J Sanchez, N MacCrann… - Nature Reviews …, 2021 - nature.com
The increasing sensitivity of modern sky surveys allow ever fainter emissions of light to be
detected, but it also increases the chances of noticeable overlap between multiple sources …

Galaxy light profile convolutional neural networks (GaLNets). I. Fast and accurate structural parameters for billion-galaxy samples

R Li, NR Napolitano, N Roy, C Tortora… - The Astrophysical …, 2022 - iopscience.iop.org
Next-generation large sky surveys will observe up to billions of galaxies for which basic
structural parameters are needed to study their evolution. This is a challenging task that, for …

Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

A Nicola, D Alonso, J Sánchez, A Slosar… - … of Cosmology and …, 2020 - iopscience.iop.org
We analyze the clustering of galaxies in the first public data release of the Hyper Suprime-
Cam Subaru Strategic Program. Despite the relatively small footprints of the observed fields …

Detecting outliers in astronomical images with deep generative networks

B Margalef-Bentabol… - Monthly Notices of …, 2020 - academic.oup.com
With the advent of future big-data surveys, automated tools for unsupervised discovery are
becoming ever more necessary. In this work, we explore the ability of deep generative …

Optimising and comparing source-extraction tools using objective segmentation quality criteria

C Haigh, N Chamba, A Venhola, R Peletier… - Astronomy & …, 2021 - aanda.org
Context. With the growth of the scale, depth, and resolution of astronomical imaging surveys,
there is increased need for highly accurate automated detection and extraction of …