The miniJPAS survey: star-galaxy classification using machine learning

On the cosmological performance of photometrically classified supernovae with machine learning

(2020) Marcelo Vargas dos Santos et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Stellar populations of galaxies in the ALHAMBRA survey up to z~1. II. Stellar content of quiescent galaxies within the dust-corrected stellar mass- and the UVJ colour-colour diagrams

(2019) L.A. Díaz-García et al.   ASTRONOMY & ASTROPHYSICS

Second data release of the Hyper Suprime-Cam Subaru Strategic Program

(2019) Hiroaki Aihara et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

J-PLUS: morphological star/galaxy classification by PDF analysis

(2018) C. López-Sanjuan et al.   ASTRONOMY & ASTROPHYSICS

J-PLUS: morphological star/galaxy classification by PDF analysis

(2018) C. López-Sanjuan et al.   ASTRONOMY & ASTROPHYSICS

Photometric redshifts for the Kilo-Degree Survey

(2018) M. Bilicki et al.   ASTRONOMY & ASTROPHYSICS

J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX

(2018) D. D. Whitten et al.   ASTRONOMY & ASTROPHYSICS

The PAU survey: star–galaxy classification with multi narrow-band data

(2018) L Cabayol et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Statistics, data mining, and machine learning in astronomy: a practical Python guide for the analysis of survey data, by Željko Ivezić, Andrew J. Connolly, Jacob T. VanderPlas and Alexander Gray

(2016) B. Ishak   CONTEMPORARY PHYSICS

Star–galaxy classification using deep convolutional neural networks

(2016) Edward J. Kim et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

A hybrid ensemble learning approach to star–galaxy classification

(2015) Edward J. Kim et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Machine-learning-based photometric redshifts for galaxies of the ESO Kilo-Degree Survey data release 2

(2015) S. Cavuoti et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

The ALHAMBRA Survey: Bayesian photometric redshifts with 23 bands for 3 deg2

(2014) A. Molino et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

EXTENDED PHOTOMETRY FOR THE DEEP2 GALAXY REDSHIFT SURVEY: A TESTBED FOR PHOTOMETRIC REDSHIFT EXPERIMENTS

(2013) Daniel J. Matthews et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

THE DEEP2 GALAXY REDSHIFT SURVEY: DESIGN, OBSERVATIONS, DATA REDUCTION, AND REDSHIFTS

(2013) Jeffrey A. Newman et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

(2013) Rahul Biswas et al.   PHYSICAL REVIEW D

THE BARYON OSCILLATION SPECTROSCOPIC SURVEY OF SDSS-III

(2012) Kyle S. Dawson et al.   ASTRONOMICAL JOURNAL

STAR-GALAXY CLASSIFICATION IN MULTI-BAND OPTICAL IMAGING

(2012) Ross Fadely et al.   ASTROPHYSICAL JOURNAL

DECISION TREE CLASSIFIERS FOR STAR/GALAXY SEPARATION

(2011) E. C. Vasconcellos et al.   ASTRONOMICAL JOURNAL

A Bayesian approach to star-galaxy classification

(2011) Marc Henrion et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

ON THE OXYGEN AND NITROGEN CHEMICAL ABUNDANCES AND THE EVOLUTION OF THE “GREEN PEA” GALAXIES

(2010) Ricardo O. Amorín et al.   Astrophysical Journal Letters

Galaxy Zoo: reproducing galaxy morphologies via machine learning★

(2010) Manda Banerji et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Galaxy Zoo Green Peas: discovery of a class of compact extremely star-forming galaxies

(2009) Carolin Cardamone et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

THE ALHAMBRA SURVEY: A LARGE AREA MULTIMEDIUM-BAND OPTICAL AND NEAR-INFRARED PHOTOMETRIC SURVEY

(2008) M. Moles et al.   ASTRONOMICAL JOURNAL