output
20022026
most citedCANDELS: The Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey

2.2k citations

Showing 2020Show all

27 papers · 1 filter

astro-ph.CO2020★ 32 cited

Stability of Cool Cores During Galaxy Cluster Growth: A Joint /SPT Analysis of 67 Galaxy Clusters Along a Common Evolutionary Track Spanning 9 Gyr

F. Ruppin, M. McDonald, L. E. Bleem +5

We present the results of a joint analysis of X-ray and South Pole Telescope (SPT) SZ observations targeting the first sample of galaxy clusters at , selec…

astro-ph.GA2020★ 15 cited

The High-Redshift Clusters Occupied by Bent Radio AGN (COBRA) Survey: Radio Source Properties

Emmet Golden-Marx, Elizabeth Blanton, Rachel-Paterno-Mahler +8

The shape of bent, double-lobed radio sources requires a dense gaseous medium. Bent sources can therefore be used to identify galaxy clusters and characterize their evolutionary hi…

eess.IV2020★ 5 cited

Multiscale Point Cloud Geometry Compression

Jianqiang Wang, Dandan Ding, Zhu Li +1

Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes. However, it is a challen…

q-bio.QM2020★ 3 cited

A comprehensive protocol for manual segmentation of the human claustrum and its sub-regions using high-resolution MRI

Seung Suk Kang, Joseph Bodenheimer, Tracey Butler

The claustrum (Cl) is a thin grey matter structure located in the center of each brain hemisphere. Cl has been hypothesized as a central hub of the brain for multisensory/sensorimo…

astro-ph.GA2020★ 53 cited

Investigating the Effect of Galaxy Interactions on AGN Enhancement at

Ekta A. Shah, Jeyhan S. Kartaltepe, Christina T. Magagnoli +30

Galaxy interactions and mergers are thought to play an important role in the evolution of galaxies. Studies in the nearby universe show a higher AGN fraction in interacting and mer…

cs.CV2020

Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN

Rijun Liao, Weizhi An, Shiqi Yu +2

Gait recognition has proven to be effective for long-distance human recognition. But view variance of gait features would change human appearance greatly and reduce its performance…

eess.IV2020★ 2 cited

Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features

Yangfan Sun, Li Li, Zhu Li +1

Generally, adaptive bitrates for variable Internet bandwidths can be obtained through multi-pass coding. Referenceless prediction-based methods show practical benefits compared wit…

astro-ph.HE2020★ 39 cited

The Chandra Deep Wide-Field Survey: A New Chandra Legacy Survey in the Boötes Field I. X-ray Point Source Catalog, Number Counts and Multi-Wavelength Counterparts

A. Masini, R. C. Hickox, C. M. Carroll +30

We present a new, ambitious survey performed with the Chandra X-ray Observatory of the 9.3 deg Boötes field of the NOAO Deep Wide-Field Survey. The wide field probes a statisti…

astro-ph.GA2020★ 16 cited

CANDELS Meets GSWLC: Evolution of the Relationship Between Morphology and Star Formation Since z = 2

Chandler Osborne, Samir Salim, Ivana Damjanov +7

Galaxy morphology and its evolution over the cosmic epoch hold important clues for understanding the regulation of star formation (SF). However, studying the relationship between m…

astro-ph.GA2020★ 114 cited

Euclid preparation: X. The Euclid photometric-redshift challenge

Euclid Collaboration, G. Desprez, S. Paltani +170

Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. Howev…

astro-ph.CO2020★ 41 cited

Mass calibration of distant SPT galaxy clusters through expanded weak lensing follow-up observations with HST, VLT & Gemini-South

T. Schrabback, S. Bocquet, M. Sommer +18

Expanding from previous work we present weak lensing measurements for a total sample of 30 distant () massive galaxy clusters from the South Pole Telescope…

astro-ph.GA2020★ 8 cited

The Massive and Distant Clusters of WISE Survey. VIII. Radio Activity in Massive Galaxy Clusters

Wenli Mo, Anthony Gonzalez, Mark Brodwin +6

We present a study of the central radio activity of galaxy clusters at high redshift. Using a large sample of galaxy clusters at from the Massive and Distant Clusters o…

astro-ph.GA2020★ 42 cited

The Morphology-Density relationship in 1<z<2 clusters

Elizaveta Sazonova, Katherine Alatalo, Jennifer Lotz +8

The morphology-density relationship states that dense cosmic environments such as galaxy clusters have an overabundance of quiescent elliptical galaxies, but it is unclear at which…

astro-ph.GA2020★ 15 cited

Measuring the total infrared light from galaxy clusters at z=0.5-1.6: connecting stellar populations to dusty star formation

Stacey Alberts, Kyoung-Soo Lee, Alexandra Pope +13

Massive galaxy clusters undergo strong evolution from z~1.6 to z~0.5, with overdense environments at high-z characterized by abundant dust-obscured star formation and stellar mass…

math.NA2020★ 4 cited

Convergence and optimality of an adaptive modified weak Galerkin finite element method

Yingying Xie, Shuhao Cao, Long Chen +1

An adaptive modified weak Galerkin method (AmWG) for an elliptic problem is studied in this paper, in addition to its convergence and optimality. The modified weak Galerkin bilinea…

eess.IV2020★ 11 cited

Hyperspectral Image Classification with Attention Aided CNNs

Renlong Hang, Zhu Li, Qingshan Liu +2

Convolutional neural networks (CNNs) have been widely used for hyperspectral image classification. As a common process, small cubes are firstly cropped from the hyperspectral image…

cs.SI2020

Link Prediction for Temporally Consistent Networks

Mohamoud Ali, Yugyung Lee, Praveen Rao

Dynamic networks have intrinsic structural, computational, and multidisciplinary advantages. Link prediction estimates the next relationship in dynamic networks. However, in the cu…

cs.CY2020

Assessing Holistic Impacts of Major Events on the Bitcoin Blockchain Network

Anthony Luo, Dianxiang Xu

As the pioneer of blockchain technology, Bitcoin is the most popular cryptocurrency to date. Given its dramatic price spikes (and crashes) along with the never-ending news from SEC…

astro-ph.CO2020★ 22 cited

Deep XMM-Newton Observations of the Most Distant SPT-SZ Galaxy Cluster

Adam B. Mantz, Steven W. Allen, R. Glenn Morris +5

We present results from a 577 ks XMM-Newton observation of SPT-CL J0459-4947, the most distant cluster detected in the South Pole Telescope 2500 square degree (SPT-SZ) survey, and…

physics.flu-dyn2020★ 9 cited

Nonlinear limiting dynamics of a shrinking interface in a Hele-Shaw cell

Meng Zhao, Zahra Niroobakhsh, John Lowengrub +1

The flow in a Hele-Shaw cell with a time-increasing gap poses a unique shrinking interface problem. When the upper plate of the cell is lifted perpendicularly at a prescribed speed…

astro-ph.GA2020★ 45 cited

A joint SZ-Xray-optical analysis of the dynamical state of 288 massive galaxy clusters

A. Zenteno, D. Hernández-Lang, M. Klein +75

We use imaging from the first three years of the Dark Energy Survey to characterize the dynamical state of 288 galaxy clusters at detected in the Sout…

astro-ph.CO2020★ 9 cited

The Massive and Distant Clusters of WISE Survey: SZ effect Verification with the Atacama Compact Array -- Localization and Cluster Analysis

Luca Di Mascolo, Tony Mroczkowski, Eugene Churazov +9

The Massive and Distant Clusters of WISE Survey (MaDCoWS) provides a catalog of high-redshift () infrared-selected galaxy clusters. However, the verifica…

cs.CV2020★ 1 cited

Dual Temporal Memory Network for Efficient Video Object Segmentation

Kaihua Zhang, Long Wang, Dong Liu +3

Video Object Segmentation (VOS) is typically formulated in a semi-supervised setting. Given the ground-truth segmentation mask on the first frame, the task of VOS is to track and s…

cs.CV2020★ 1 cited

CRL: Class Representative Learning for Image Classification

Mayanka Chandrashekar, Yugyung Lee

Building robust and real-time classifiers with diverse datasets are one of the most significant challenges to deep learning researchers. It is because there is a considerable gap b…