SILVERRUSH X: Machine Learning-aided Selection of 9318 LAEs at z = 2.2, 3.3, 4.9, 5.7, 6.6, and 7.0 from the HSC SSP and CHORUS Survey Data

Discovering New Strong Gravitational Lenses in the DESI Legacy Imaging Surveys

(2021) X. Huang et al.   ASTROPHYSICAL JOURNAL

The evolution of rest-frame UV properties, Ly α EWs, and the SFR–stellar mass relation at z ∼ 2–6 for SC4K LAEs

(2020) S Santos et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Optimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging

(2020) Ting-Yun Cheng et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

The rest-frame UV luminosity function at z ≃ 4: a significant contribution of AGNs to the bright end of the galaxy population

(2020) N J Adams et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

UV and U-band luminosity functions from CLAUDS and HSC-SSP – I. Using four million galaxies to simultaneously constrain the very faint and bright regimes to z ∼ 3

(2020) Thibaud Moutard et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

HOLISMOKES. II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks

(2020) R. Cañameras et al.   ASTRONOMY & ASTROPHYSICS

Spin parity of spiral galaxies II: a catalogue of 80 k spiral galaxies using big data from the Subaru Hyper Suprime-Cam survey and deep learning

(2020) Ken-ichi Tadaki et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Deep learning for strong lensing search: tests of the convolutional neural networks and new candidates from KiDS DR3

(2020) Zizhao He et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Photometric classification of Hyper Suprime-Cam transients using machine learning

(2020) Ichiro Takahashi et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

The GALAH survey: characterization of emission-line stars with spectral modelling using autoencoders

(2020) Klemen Čotar et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

DeepSource: Point Source Detection using Deep Learning

(2019) A Vafaei Sadr et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Neural network-based anomaly detection for high-resolution X-ray spectroscopy

(2019) Y Ichinohe et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Lyα view around a z = 2.84 hyperluminous QSO at a node of the cosmic web†

(2019) Satoshi Kikuta et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

MOS spectroscopy of protocluster candidate galaxies at z = 6.5

(2019) R Calvi et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Galaxy morphological classification in deep-wide surveys via unsupervised machine learning

(2019) G Martin et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Deblending and classifying astronomical sources with Mask R-CNN deep learning

(2019) Colin J Burke et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

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

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

Deep learning approach for classifying, detecting and predicting photometric redshifts of quasars in the Sloan Digital Sky Survey stripe 82

(2018) J. Pasquet-Itam et al.   ASTRONOMY & ASTROPHYSICS

Photometric redshift estimation via deep learning

(2018) A. D’Isanto et al.   ASTRONOMY & ASTROPHYSICS

The VANDELS ESO public spectroscopic survey. Observations and first data release

(2018) L. Pentericci et al.   ASTRONOMY & ASTROPHYSICS

Deep convolutional neural networks as strong gravitational lens detectors

(2018) C. Schaefer et al.   ASTRONOMY & ASTROPHYSICS

Improving galaxy morphologies for SDSS with Deep Learning

(2018) H Domínguez Sánchez et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

The nature of luminous Ly α emitters at z ∼ 2–3: maximal dust-poor starbursts and highly ionizing AGN

(2018) David Sobral et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

The GALAH Survey: second data release

(2018) Sven Buder et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

SILVERRUSH. VI. A simulation of Lyα emitters in the reionization epoch and a comparison with Subaru Hyper Suprime-Cam survey early data

(2018) Akio K Inoue et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Hyper Suprime-Cam: Filters

(2018) Satoshi Kawanomoto et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Deep learning approach for classifying, detecting and predicting photometric redshifts of quasars in the Sloan Digital Sky Survey stripe 82

(2018) J. Pasquet-Itam et al.   ASTRONOMY & ASTROPHYSICS

Photometric redshift estimation via deep learning

(2018) A. D’Isanto et al.   ASTRONOMY & ASTROPHYSICS

The VANDELS ESO public spectroscopic survey. Observations and first data release

(2018) L. Pentericci et al.   ASTRONOMY & ASTROPHYSICS

Deep convolutional neural networks as strong gravitational lens detectors

(2018) C. Schaefer et al.   ASTRONOMY & ASTROPHYSICS

Confirmation of double peaked Ly alpha emission at z = 6.593. Witnessing a galaxy directly contributing to the reionisation of the Universe

(2018) J. Matthee et al.   ASTRONOMY & ASTROPHYSICS

Photometric redshifts from SDSS images using a convolutional neural network

(2018) Johanna Pasquet et al.   ASTRONOMY & ASTROPHYSICS

Systematic serendipity: a test of unsupervised machine learning as a method for anomaly detection

(2018) Daniel Giles et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Candidate Massive Galaxies at z ∼ 4 in the Dark Energy Survey

(2018) Pierandrea Guarnieri et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

A giant protocluster of galaxies at redshift 5.7

(2018) Linhua Jiang et al.   Nature Astronomy

CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding

(2017) François Lanusse et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Fast automated analysis of strong gravitational lenses with convolutional neural networks

(2017) Yashar D. Hezaveh et al.   NATURE

Characterization and photometric performance of the Hyper Suprime-Cam Software Pipeline

(2017) Song Huang et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Hyper Suprime-Cam: System design and verification of image quality

(2017) Satoshi Miyazaki et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

GOLDRUSH. III. A systematic search for protoclusters at z ∼ 4 based on the >100 deg2 area

(2017) Jun Toshikawa et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Great Optically Luminous Dropout Research Using Subaru HSC (GOLDRUSH). I. UV luminosity functions at z ∼ 4–7 derived with the half-million dropouts on the 100 deg2 sky†

(2017) Yoshiaki Ono et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Systematic Identification of LAEs for Visible Exploration and Reionization Research Using Subaru HSC (SILVERRUSH). I. Program strategy and clustering properties of ∼2000 Lyα emitters at z = 6–7 over the 0.3–0.5 Gpc2 survey area†

(2017) Masami Ouchi et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

SILVERRUSH. IV. Lyα luminosity functions at z = 5.7 and 6.6 studied with ∼1300 Lyα emitters on the 14–21 deg2 sky

(2017) Akira Konno et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

GOLDRUSH. II. Clustering of galaxies at z ∼ 4–6 revealed with the half-million dropouts over the 100 deg2 area corresponding to 1 Gpc3

(2017) Yuichi Harikane et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

The Hyper Suprime-Cam software pipeline

(2017) James Bosch et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Hyper Suprime-Cam: Camera dewar design

(2017) Yutaka Komiyama et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

The on-site quality-assurance system for Hyper Suprime-Cam: OSQAH†

(2017) Hisanori Furusawa et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

The Hyper Suprime-Cam SSP Survey: Overview and survey design

(2017) Hiroaki Aihara et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

SILVERRUSH. III. Deep optical and near-infrared spectroscopy for Lyα and UV-nebular lines of bright Lyα emitters at z = 6–7†‡

(2017) Takatoshi Shibuya et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

The VIMOS Ultra Deep Survey first data release: Spectra and spectroscopic redshifts of 698 objects up tozspec~ 6 in CANDELS

(2017) L. A. M. Tasca et al.   ASTRONOMY & ASTROPHYSICS

The MUSE Hubble Ultra Deep Field Survey

(2017) Floriane Leclercq et al.   ASTRONOMY & ASTROPHYSICS

Machine-learning selection of optical transients in the Subaru/Hyper Suprime-Cam survey

(2016) Mikio Morii et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN

Measuring photometric redshifts using galaxy images and Deep Neural Networks

(2016) B. Hoyle   Astronomy and Computing

Rotation-invariant convolutional neural networks for galaxy morphology prediction

(2015) Sander Dieleman et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Deep learning

(2015) Yann LeCun et al.   NATURE

GalSim : The modular galaxy image simulation toolkit

(2015) B.T.P. Rowe et al.   Astronomy and Computing

WHAT IS THE PHYSICAL ORIGIN OF STRONG Lyα EMISSION? II. GAS KINEMATICS AND DISTRIBUTION OF Lyα EMITTERS

(2014) Takatoshi Shibuya et al.   ASTROPHYSICAL JOURNAL

The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35 016 galaxies and AGN out toz~ 6.7 selected with 17.5 ≤iAB ≤ 24.75

(2013) O. Le Fèvre et al.   ASTRONOMY & ASTROPHYSICS

THEz= 5 QUASAR LUMINOSITY FUNCTION FROM SDSS STRIPE 82

(2013) Ian D. McGreer et al.   ASTROPHYSICAL JOURNAL

FIRST SPECTROSCOPIC EVIDENCE FOR HIGH IONIZATION STATE AND LOW OXYGEN ABUNDANCE IN Lyα EMITTERS,

(2013) Kimihiko Nakajima et al.   ASTROPHYSICAL JOURNAL

AN INTENSELY STAR-FORMING GALAXY ATz∼ 7 WITH LOW DUST AND METAL CONTENT REVEALED BY DEEP ALMA ANDHSTOBSERVATIONS

(2013) Masami Ouchi et al.   ASTROPHYSICAL JOURNAL

AN EXPONENTIAL DECLINE AT THE BRIGHT END OF THEz= 6 GALAXY LUMINOSITY FUNCTION

(2012) Chris J. Willott et al.   ASTRONOMICAL JOURNAL

EVOLUTION OF THE QUASAR LUMINOSITY FUNCTION OVER 3

(2012) D. Masters et al.   ASTROPHYSICAL JOURNAL

Lyα EMISSION FROM HIGH-REDSHIFT SOURCES IN COSMOS

(2012) Ryan P. Mallery et al.   ASTROPHYSICAL JOURNAL

AVERAGE METALLICITY AND STAR FORMATION RATE OF Lyα EMITTERS PROBED BY A TRIPLE NARROWBAND SURVEY

(2011) Kimihiko Nakajima et al.   ASTROPHYSICAL JOURNAL

EDDINGTON-LIMITED ACCRETION AND THE BLACK HOLE MASS FUNCTION AT REDSHIFT 6

(2010) Chris J. Willott et al.   ASTRONOMICAL JOURNAL

STATISTICS OF 207 Lyα EMITTERS AT A REDSHIFT NEAR 7: CONSTRAINTS ON REIONIZATION AND GALAXY FORMATION MODELS

(2010) Masami Ouchi et al.   ASTROPHYSICAL JOURNAL

Keck spectroscopy of faint 3 < z < 7 Lyman break galaxies - I. New constraints on cosmic reionization from the luminosity and redshift-dependent fraction of Lyman α emission

(2010) Daniel P. Stark et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

DISCOVERY OF A GIANT Lyα EMITTER NEAR THE REIONIZATION EPOCH

(2009) Masami Ouchi et al.   ASTROPHYSICAL JOURNAL

THE zCOSMOS 10k-BRIGHT SPECTROSCOPIC SAMPLE

(2009) Simon J. Lilly et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Deep Spectroscopy of Systematically Surveyed Extended Lyα Sources atz∼ 3–5

(2008) Tomoki Saito et al.   ASTROPHYSICAL JOURNAL

The Subaru/XMM‐NewtonDeep Survey (SXDS). IV. Evolution of Lyα Emitters from \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \usepackage[OT2,OT1]{fontenc} \newcommand\cyr{ \renewcommand\rmdefault{wncyr} \renewcommand\sfdefault{wncyss} \renewcommand\encodingdefault{OT2} \normalfont \selectfont} \DeclareTextFontCommand{\textcyr}{\cyr} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} \landscape $z=3.1$ \end{document} to 5.7 in the 1 deg2Field: Luminosity Functions and AGN

(2008) Masami Ouchi et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES