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We present the first cluster catalogue extracted from the UKIRT Infrared Deep Sky Survey Early Data Release. The catalogue is created using UKIDSS Ultra Deep Survey infrared J and K data combined with 3.6 micro-m and 4.5 micro-m Spitzer…

The intracluster light (ICL) is a faint diffuse stellar component in clusters made of stars not bound to individual galaxies. We have carried out a large scale study of this component in the nearby Virgo cluster. The diffuse light is traced…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-14 Nieves Castro-Rodriguez , Magda Arnaboldi , J. Alfonso L. Aguerri , Ortwin Gerhard , Sadanori Okamura , Naoki Yasuda , Kenneth C. Freeman

In recent years, deep dictionary learning (DDL)has attracted a great amount of attention due to its effectiveness for representation learning and visual recognition.~However, most existing methods focus on unsupervised deep dictionary…

Machine Learning · Computer Science 2022-07-15 Xia Yuan , Jianping Gou , Baosheng Yu , Jiali Yu , Zhang Yi

At large redshifts, a cluster or group may be too distant for the galaxies within the cluster to be detected individually. However, the light from these ``undetected'' galaxies still modulates the surface brightness of the background sky.…

Astrophysics · Physics 2007-05-23 J. J. Dalcanton

We present imaging results and source counts from a deep ISOCAM cosmological survey at 15 microns, through gravitationally lensing galaxy clusters. We take advantage of the cluster gravitational amplification to increase the sensitivity of…

Detection of circular objects in digital images is an important problem in several vision applications. Circle detection using randomized sampling has been developed in recent years to reduce the computational intensity. Randomized…

Computer Vision and Pattern Recognition · Computer Science 2015-11-03 Hanqing Zhang , Krister Wiklund , Magnus Andersson

Deep clustering has gained significant attention due to its capability in learning clustering-friendly representations without labeled data. However, previous deep clustering methods tend to treat all samples equally, which neglect the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Hai-Xin Zhang , Dong Huang

[Abridged] To effectively investigate galaxy formation and evolution, it is of paramount importance to exploit homogeneous data for large samples of galaxies in different environments. The WINGS (WIde-field Nearby Galaxy-cluster Survey)…

We are undertaking a program to measure the characteristics of the intracluster light (total flux, profile, color, and substructure) in a sample of 10 galaxy clusters with a range of cluster mass, morphology, and redshift. We present here…

Astrophysics · Physics 2008-11-26 J. E. Krick , R. A. Bernstein , K. A. Pimbblet

Filaments play a crucial role in providing the necessary environmental conditions for star formation, actively participating in the process. To facilitate the identification and analysis of filaments, we introduce DPConCFil (Directional and…

Astrophysics of Galaxies · Physics 2025-01-10 Yu Jiang

Galaxy clustering is a sensitive probe of the expansion history and growth of structure of the universe, and key degeneracies can be broken by combining these data with measurements of cosmic shear and galaxy-galaxy lensing (a so-called…

Number counts of galaxy clusters across redshift are a powerful cosmological probe, if a precise and accurate reconstruction of the underlying mass distribution is performed -- a challenge called mass calibration. With the advent of wide…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-17 S. Grandis , V. Ghirardini , S. Bocquet , C. Garrel , J. J. Mohr , A. Liu , M. Kluge , L. Kimmig , T. H. Reiprich , A. Alarcon , A. Amon , E. Artis , Y. E. Bahar , F. Balzer , K. Bechtol , M. R. Becker , G. Bernstein , E. Bulbul , A. Campos , A. Carnero Rosell , M. Carrasco Kind , R. Cawthon , C. Chang , R. Chen , I. Chiu , A. Choi , N. Clerc , J. Comparat , J. Cordero , C. Davis , J. Derose , H. T. Diehl , S. Dodelson , C. Doux , A. Drlica-Wagner , K. Eckert , J. Elvin-Poole , S. Everett , A. Ferte , M. Gatt , G. Giannini , P. Giles , D. Gruen , R. A. Gruendl , I. Harrison , W. G. Hartley , K. Herner , E. M. Huf , F. Kleinebreil , N. Kuropatkin , P. F. Leget , N. Maccrann , J. Mccullough , A. Merloni , J. Myles , K. Nandra , A. Navarro-Alsina , N. Okabe , F. Pacaud , S. Pandey , J. Prat , P. Predehl , M. Ramos , M. Raveri , R. P. Rollins , A. Roodman , A. J. Ross , E. S. Rykoff , C. Sanchez , J. Sanders , T. Schrabback , L. F. Secco , R. Seppi , I. Sevilla-Noarbe , E. Sheldon , T. Shin , M. Troxel , I. Tutusaus , T. N. Varga , H. Wu , B. Yanny , B. Yin , X. Zhang , Y. Zhang , O. Alves , S. Bhargava , D. Brooks , D. L. Burke , J. Carretero , M. Costanzi , L. N. da Costa , M. E. S. Pereira , J. De Vicente , S. Desai , P. Doel , I. Ferrero , B. Flaugher , D. Friedel , J. Frieman , J. García-Bellido , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , N. Jeffrey , O. Lahav , S. Lee , J. L. Marshall , F. Menanteau , R. L. C. Ogando , A. Pieres , A. A. Plazas Malagón , A. K. Romer , E. Sanchez , M. Schubnell , M. Smith , E. Suchyta , M. E. C. Swanson , G. Tarle , N. Weaverdyck , J. Weller

Vast amounts of astronomical photometric data are generated from various projects, requiring significant effort to identify variable stars and other object classes. In light of this, a general, widely applicable classification framework…

Instrumentation and Methods for Astrophysics · Physics 2024-09-23 Kaiming Cui , D. J. Armstrong , Fabo Feng

Through observational tests of strong lensing galaxy clusters, we can test simulation derived structure predictions that follow from $\Lambda$ Cold Dark Matter ($\Lambda$CDM) cosmology. The shape and centroid deviations between the total…

Object detection in streaming images is a major step in different detection-based applications, such as object tracking, action recognition, robot navigation, and visual surveillance applications. In mostcases, image quality is noisy and…

Computer Vision and Pattern Recognition · Computer Science 2018-10-25 Dong Kyun Shin , Minhaz Uddin Ahmed , Phill Kyu Rhee

While the selection of strongly lensed galaxies with 500{\mu}m flux density S_500>100 mJy has proven to be rather straightforward (Negrello et al. 2010), for many applications it is important to analyze samples larger than the ones obtained…

Context. Clusters of galaxies are important for cosmology and astrophysics. They may be discovered through either the summed optical/IR radiation originating from their member galaxies or via X-ray emission originating from the hot…

Cosmology and Nongalactic Astrophysics · Physics 2016-12-21 Alexey Mints , Axel Schwope , Simon Rosen , François-Xavier Pineau , Francisco Carrera

Tens of thousands of galaxy-galaxy strong lensing systems are expected to be discovered by the end of the decade. These will form a vast new dataset that can be used to probe subgalactic dark matter structures through its gravitational…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-31 Arthur Tsang , Atınç Çağan Şengül , Cora Dvorkin