Surveying the reach and maturity of machine learning and artificial intelligence in astronomy
Abstract Machine learning (automated processes that learn by example in order to classify,
predict, discover, or generate new data) and artificial intelligence (methods by which a …
predict, discover, or generate new data) and artificial intelligence (methods by which a …
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 …
increasing over the past years. New facilities will soon provide imaging and spectra of …
Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging
TY Cheng, CJ Conselice… - Monthly Notices of …, 2020 - academic.oup.com
There are several supervised machine learning methods used for the application of
automated morphological classification of galaxies; however, there has not yet been a clear …
automated morphological classification of galaxies; however, there has not yet been a clear …
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 …
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …
Strong gravitational lensing and microlensing of supernovae
Strong gravitational lensing and microlensing of supernovae (SNe) are emerging as a new
probe of cosmology and astrophysics in recent years. We provide an overview of this …
probe of cosmology and astrophysics in recent years. We provide an overview of this …
Pushing automated morphological classifications to their limits with the Dark Energy Survey
J Vega-Ferrero, H Domínguez Sánchez… - Monthly Notices of …, 2021 - academic.oup.com
We present morphological classifications of∼ 27 million galaxies from the Dark Energy
Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The …
Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The …
Discovering new strong gravitational lenses in the desi legacy imaging surveys
We have conducted a search for new strong gravitational lensing systems in the Dark
Energy Spectroscopic Instrument Legacy Imaging Surveys' Data Release 8. We use deep …
Energy Spectroscopic Instrument Legacy Imaging Surveys' Data Release 8. We use deep …
New high-quality strong lens candidates with deep learning in the kilo-degree survey
We report new high-quality galaxy-scale strong lens candidates found in the Kilo-Degree
Survey data release 4 using machine learning. We have developed a new convolutional …
Survey data release 4 using machine learning. We have developed a new convolutional …
Finding strong gravitational lenses in the DESI DECam legacy survey
We perform a semi-automated search for strong gravitational lensing systems in the 9000
deg 2 Dark Energy Camera Legacy Survey (DECaLS), part of the Dark Energy …
deg 2 Dark Energy Camera Legacy Survey (DECaLS), part of the Dark Energy …
Holismokes-ii. identifying galaxy-scale strong gravitational lenses in pan-starrs using convolutional neural networks
R Cañameras, S Schuldt, SH Suyu… - Astronomy & …, 2020 - aanda.org
We present a systematic search for wide-separation (with Einstein radius θ E≳ 1.5 ″),
galaxy-scale strong lenses in the 30 000 deg 2 of the Pan-STARRS 3π survey on the …
galaxy-scale strong lenses in the 30 000 deg 2 of the Pan-STARRS 3π survey on the …