activity
20162026
most citedThe DECam Local Volume Exploration Survey: Overview and First Data Release

119 citations · 440 across the 33 of their papers we have counts for

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Showing astro-ph.GAShow all

21 papers · 1 filter

astro-ph.GA2026

The Roman eXtreme Deep Field (RXDF)

Haojing Yan, Anton M. Koekemoer, Yue Shen +127

The Roman eXtreme Deep Field (RXDF) program is one of the five General Astrophysics Survey (GAS) programs approved for observing time with the Nancy Grace Roman Space Telescope in…

astro-ph.GA2024★ 2 cited

Insights on Galaxy Evolution from Interpretable Sparse Feature Networks

John F. Wu

Galaxy appearances reveal the physics of how they formed and evolved. Machine learning models can now exploit galaxies' information-rich morphologies to predict physical properties…

astro-ph.GA2024

Katachi: Decoding the Imprints of Past Star Formation on Present Day Morphology in Galaxies with Interpretable CNNs

Juan Pablo Alfonzo, Kartheik G. Iyer, Masayuki Akiyama +8

The physical processes responsible for shaping how galaxies form and quench over time leave imprints on both the spatial (galaxy morphology) and temporal (star formation history; S…

astro-ph.GA2024

PHANGS-ML: dissecting multiphase gas and dust in nearby galaxies using machine learning

Dalya Baron, Karin M. Sandstrom, Erik Rosolowsky +25

The PHANGS survey uses ALMA, HST, VLT, and JWST to obtain an unprecedented high-resolution view of nearby galaxies, covering millions of spatially independent regions. The high dim…

astro-ph.GA2024

Deep Learning Cosmic Ray Transport from Density Maps of Simulated, Turbulent Gas

Chad Bustard, John Wu

The coarse-grained propagation of Galactic cosmic rays (CRs) is traditionally constrained by phenomenological models of Milky Way CR propagation fit to a variety of direct and indi…

astro-ph.GA2024★ 13 cited

How the Galaxy-Halo Connection Depends on Large-Scale Environment

John F. Wu, Christian Kragh Jespersen, Risa H. Wechsler

We investigate the connection between galaxies, dark matter halos, and their large-scale environments at with Illustris TNG300 hydrodynamic simulation data. We predict stella…

astro-ph.GA2023★ 8 cited

A variable active galactic nucleus at triply-imaged by the galaxy cluster MACS J0035.4-2015

Lukas J. Furtak, Ramesh Mainali, Adi Zitrin +32

We report the discovery of a triply imaged active galactic nucleus (AGN), lensed by the galaxy cluster MACS J0035.4-2015 (). The object is detected in Hubble…

astro-ph.GA2023★ 3 cited

Identification of galaxy shreds in large photometric catalogs using Convolutional Neural Networks

Enrico M. Di Teodoro, Josh E. G. Peek, John F. Wu

Contamination from galaxy fragments, identified as sources, is a major issue in large photometric galaxy catalogs. In this paper, we prove that this problem can be easily addressed…

astro-ph.GA2022

Identifying AGN host galaxies with convolutional neural networks

Ziting Guo, John F. Wu, Chelsea E. Sharon

Active galactic nuclei (AGN) are supermassive black holes with luminous accretion disks found in some galaxies, and are thought to play an important role in galaxy evolution. Howev…

astro-ph.GA2022

Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program

Elise Darragh-Ford, John F. Wu, Yao-Yuan Mao +39

We introduce the DESI LOW-Z Secondary Target Survey, which combines the wide-area capabilities of the Dark Energy Spectroscopic Instrument (DESI) with an efficient, low-redshift ta…

astro-ph.GA2022★ 19 cited

Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88

We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…

astro-ph.GA2022★ 12 cited

LADUMA: Discovery of a luminous OH megamaser at

Marcin Glowacki, Jordan D. Collier, Amir Kazemi-Moridani +65

In the local Universe, OH megamasers (OHMs) are detected almost exclusively in infrared-luminous galaxies, with a prevalence that increases with IR luminosity, suggesting that they…

astro-ph.GA2022

Extending the SAGA Survey (xSAGA) I: Satellite Radial Profiles as a Function of Host Galaxy Properties

John F. Wu, J. E. G. Peek, Erik J. Tollerud +6

We present "Extending the Satellites Around Galactic Analogs Survey" (xSAGA), a method for identifying low- galaxies on the basis of optical imaging, and results on the spatial…

astro-ph.GA2021

Predicting the spectrum of UGC 2885, Rubin's Galaxy with machine learning

Benne W. Holwerda, John F. Wu, William C. Keel +10

Wu & Peek (2020) predict SDSS-quality spectra based on Pan-STARRS broad-band \textit{grizy} images using machine learning (ML). In this letter, we test their prediction for a uniqu…

astro-ph.GA2021★ 119 cited

The DECam Local Volume Exploration Survey: Overview and First Data Release

A. Drlica-Wagner, J. L. Carlin, D. L. Nidever +67

The DECam Local Volume Exploration survey (DELVE) is a 126-night survey program on the 4-m Blanco Telescope at the Cerro Tololo Inter-American Observatory in Chile. DELVE seeks to…

astro-ph.GA2020★ 40 cited

ALMA Lensing Cluster Survey: an ALMA galaxy signposting a MUSE galaxy group at z=4.3 behind 'El Gordo'

K. I. Caputi, G. B. Caminha, S. Fujimoto +24

We report the discovery of a Multi Unit Spectroscopic Explorer (MUSE) galaxy group at z=4.32 lensed by the massive galaxy cluster ACT-CL J0102-4915 (aka El Gordo) at z=0.87, associ…

astro-ph.GA2020★ 18 cited

Connecting optical morphology, environment, and HI mass fraction for low-redshift galaxies using deep learning

John F. Wu

A galaxy's morphological features encode details about its gas content, star formation history, and feedback processes, which play important roles in regulating its growth and evol…

astro-ph.GA2019★ 9 cited

The Star-Forming Interstellar Medium of Lyman Break Galaxy Analogs

John F. Wu, Andrew J. Baker, Timothy M. Heckman +3

We present VLT/SINFONI near-infrared (NIR) integral field spectroscopy of six Lyman break galaxy "analogs" (LBAs), from which we detect HI, HeI, and [FeII] recombinati…

astro-ph.GA2018★ 45 cited

Using convolutional neural networks to predict galaxy metallicity from three-color images

John F. Wu, Steven Boada

We train a deep residual convolutional neural network (CNN) to predict the gas-phase metallicity () of galaxies derived from spectroscopic information ($Z \equiv 12 + \log(\rm O…

astro-ph.GA2018★ 6 cited

Herschel and ALMA Observations of Massive SZE-selected Clusters

John F. Wu, Paula Aguirre, Andrew J. Baker +6

We present new Herschel observations of four massive, Sunyaev-Zel'dovich Effect (SZE)-selected clusters at , two of which have also been observed with ALMA. We…

astro-ph.GA2016★ 30 cited

Galaxy candidates at z ~ 10 in archival data from the Brightest of Reionizing Galaxies (BoRG[z8]) survey

S. R. Bernard, D. Carrasco, M. Trenti +9

The Wide Field Camera 3 (WFC3) on the Hubble Space Telescope (HST) enabled the search for the first galaxies observed at z ~ 8 - 11 (500 - 700 Myr after the Big Bang). To continue…