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Video Capsule Endoscopy (VCE) has become an indispensable diagnostic tool for gastrointestinal (GI) disorders due to its non-invasive nature and ability to capture high-resolution images of the small intestine. However, the enormous volume…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Vamshi Krishna Kancharla , Pavan Kumar Kaveti , Dasari Naga Raju

Knowing the redshift of galaxies is one of the first requirements of many cosmological experiments, and as it's impossible to perform spectroscopy for every galaxy being observed, photometric redshift (photo-z) estimations are still of…

Instrumentation and Methods for Astrophysics · Physics 2022-03-09 Ben Henghes , Connor Pettitt , Jeyan Thiyagalingam , Tony Hey , Ofer Lahav

Galaxy morphology is one of the most fundamental ways to describe galaxy properties, but the morphology we observe may be affected by wavelength and spatial resolution, which may introduce systematic bias when comparing galaxies at…

Astrophysics of Galaxies · Physics 2023-07-27 Yao Yao , Jie Song , Xu Kong , Guanwen Fang , Hong-Xin Zhang , Xinkai Chen

We investigate and demonstrate the use of convolutional neural networks (CNNs) for the task of distinguishing between merging and non-merging galaxies in simulated images, and for the first time at high redshifts (i.e. $z=2$). We extract…

Astrophysics of Galaxies · Physics 2020-04-28 A. Ćiprijanović , G. F. Snyder , B. Nord , J. E. G. Peek

We report on a complete sample of 7 luminous early-type galaxies in the Hubble Ultra Deep Field (UDF) with spectroscopic redshifts between 1.39 and 2.47 and to K<23 AB. Using the BzK selection criterion we have pre-selected a set of objects…

We apply a new deep learning technique to detect, classify, and deblend sources in multi-band astronomical images. We train and evaluate the performance of an artificial neural network built on the Mask R-CNN image processing framework, a…

Instrumentation and Methods for Astrophysics · Physics 2019-11-22 Colin J. Burke , Patrick D. Aleo , Yu-Ching Chen , Xin Liu , John R. Peterson , Glenn H. Sembroski , Joshua Yao-Yu Lin

We present morphologies of galaxies at $z \gtrsim 9$ resolved by JWST/NIRCam $2$-$5\mu$m imaging. Our sample consists of $22$ galaxy candidates identified by stringent dropout and photo-$z$ criteria in GLASS, CEERS, SMACS J0723, and…

Galaxy mergers, the dynamical process during which two galaxies collide, are among the most spectacular phenomena in the Universe. During this process, the two colliding galaxies are tidally disrupted, producing significant visual features…

Instrumentation and Methods for Astrophysics · Physics 2021-02-04 Maxwell X. Cai , Jeroen Bédorf , Vikram A. Saletore , Valeriu Codreanu , Damian Podareanu , Adel Chaibi , Penny X. Qian

We present predictions for the outcome of deep galaxy surveys with the $James$ $Webb$ $Space$ $Telescope$ ($JWST$) obtained from a physical model of galaxy formation in $\Lambda$CDM. We use the latest version of the GALFORM model, embedded…

Astrophysics of Galaxies · Physics 2017-12-27 William Cowley , Carlton Baugh , Shaun Cole , Carlos Frenk , Cedric Lacey

Data from the James Webb Space Telescope have revealed an intriguing population of bright galaxies at high redshifts. In this work, we use extreme-value statistics to calculate the distribution (in UV magnitude) of the brightest galaxies in…

Astrophysics of Galaxies · Physics 2024-09-27 Cameron Heather , Teeraparb Chantavat , Siri Chongchitnan , Joseph Silk

The UltraViolet imaging of the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey Fields (UVCANDELS) program provides deep HST F275W and F435W imaging over four CANDELS fields (GOODS-N, GOODS-S, COSMOS, and EGS). We combine this…

We present rest-frame optical spectra from Keck/MOSFIRE and Keck/NIRES of 16 candidate ultramassive galaxies targeted as part of the Massive Ancient Galaxies at $z>3$ Near-Infrared (MAGAZ3NE) Survey. These candidates were selected to have…

A small survey of the UV-absorbing gas in 12 low-$z$ galaxy groups has been conducted using the Cosmic Origins Spectrograph (COS) on-board the Hubble Space Telescope (HST). Targets were selected from a large, homogeneously-selected sample…

Early results from the JWST observations have reported a surprisingly high number of UV-bright galaxies at $z \geq 10$, which appears to challenge the theoretical predictions from standard galaxy formation models in the $\Lambda$CDM…

Astrophysics of Galaxies · Physics 2024-07-30 Anirban Chakraborty , Tirthankar Roy Choudhury

Large photometric surveys provide a rich source of observations of quiescent galaxies, including a surprisingly large population at z>1. However, identifying large, but clean, samples of quiescent galaxies has proven difficult because of…

As ground-based all-sky astronomical surveys will gather millions of images in the coming years, a critical requirement emerges for the development of fast deconvolution algorithms capable of efficiently improving the spatial resolution of…

Instrumentation and Methods for Astrophysics · Physics 2024-07-31 Utsav Akhaury , Pascale Jablonka , Jean-Luc Starck , Frédéric Courbin

Novel techniques are indispensable to process the flood of data from the new generation of radio telescopes. In particular, the classification of astronomical sources in images is challenging. Morphological classification of radio galaxies…

Instrumentation and Methods for Astrophysics · Physics 2022-10-10 Janis Kummer , Lennart Rustige , Florian Griese , Kerstin Borras , Marcus Brüggen , Patrick L. S. Connor , Frank Gaede , Gregor Kasieczka , Peter Schleper

The James Webb Space Telescope (JWST) has revealed extremely distant galaxies at unprecedentedly early cosmic epochs from its deep imaging using the technique of photometric redshift estimation, with its subsequent spectroscopy confirming…

Astrophysics of Galaxies · Physics 2023-10-04 Stephen Serjeant , Tom J. L. C. Bakx

The Euclid Space Telescope will provide deep imaging at optical and near-infrared wavelengths, along with slitless near-infrared spectroscopy, across ~15,000 sq deg of the sky. Euclid is expected to detect ~12 billion astronomical sources,…

Instrumentation and Methods for Astrophysics · Physics 2023-03-15 Euclid Collaboration , A. Humphrey , L. Bisigello , P. A. C. Cunha , M. Bolzonella , S. Fotopoulou , K. Caputi , C. Tortora , G. Zamorani , P. Papaderos , D. Vergani , J. Brinchmann , M. Moresco , A. Amara , N. Auricchio , M. Baldi , R. Bender , D. Bonino , E. Branchini , M. Brescia , S. Camera , V. Capobianco , C. Carbone , J. Carretero , F. J. Castander , M. Castellano , S. Cavuoti , A. Cimatti , R. Cledassou , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , L. Corcione , F. Courbin , M. Cropper , A. Da Silva , H. Degaudenzi , M. Douspis , F. Dubath , C. A. J. Duncan , X. Dupac , S. Dusini , S. Farrens , S. Ferriol , M. Frailis , E. Franceschi , M. Fumana , P. Gomez-Alvarez , S. Galeotta , B. Garilli , W. Gillard , B. Gillis , C. Giocoli , A. Grazian , F. Grupp , L. Guzzo , S. V. H. Haugan , W. Holmes , F. Hormuth , K. Jahnke , M. Kummel , S. Kermiche , A. Kiessling , M. Kilbinger , T. Kitching , R. Kohley , M. Kunz , H. Kurki-Suonio , S. Ligori , P. B. Lilje , I. Lloro , E. Maiorano , O. Mansutti , O. Marggraf , K. Markovic , F. Marulli , R. Massey , S. Maurogordato , H. J. McCracken , E. Medinaceli , M. Melchior , M. Meneghetti , E. Merlin , G. Meylan , L. Moscardini , E. Munari , R. Nakajima , S. M. Niemi , J. Nightingale , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , V. Pettorino , S. Pires , M. Poncet , L. Popa , L. Pozzetti , F. Raison , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , E. Rossetti , R. Saglia , D. Sapone , B. Sartoris , R. Scaramella , P. Schneider , M. Scodeggio , A. Secroun , G. Seidel , C. Sirignano , G. Sirri , L. Stanco , P. Tallada-Crespi , D. Tavagnacco , A. N. Taylor , I. Tereno , R. Toledo-Moreo , F. Torradeflot , I. Tutusaus , L. Valenziano , T. Vassallo , Y. Wang , J. Weller , A. Zacchei , J. Zoubian , S. Andreon , S. Bardelli , A. Boucaud , R. Farinelli , J. Gracia-Carpio , D. Maino , N. Mauri , S. Mei , N. Morisset , F. Sureau , M. Tenti , A. Tramacere , E. Zucca , C. Baccigalupi , A. Balaguera-Antolinez , A. Biviano , A. Blanchard , S. Borgani , E. Bozzo , C. Burigana , R. Cabanac , A. Cappi , C. S. Carvalho , S. Casas , G. Castignani , C. Colodro-Conde , A. R. Cooray , J. Coupon , H. M. Courtois , O. Cucciati , S. Davini , G. De Lucia , H. Dole , J. A. Escartin , S. Escoffier , M. Fabricius , M. Farina , F. Finelli , K. Ganga , J. Garcia-Bellido , K. George , F. Giacomini , G. Gozaliasl , I. Hook , M. Huertas-Company , B. Joachimi , V. Kansal , A. Kashlinsky , E. Keihanen , C. C. Kirkpatrick , V. Lindholm , G. Mainetti , R. Maoli , S. Marcin , M. Martinelli , N. Martinet , M. Maturi , R. B. Metcalf , G. Morgante , A. A. Nucita , L. Patrizii , A. Peel , J. E. Pollack , V. Popa , C. Porciani , D. Potter , P. Reimberg , A. G. Sanchez , M. Schirmer , M. Schultheis , V. Scottez , E. Sefusatti , J. Stadel , R. Teyssier , C. Valieri , J. Valiviita , M. Viel , F. Calura , H. Hildebrandt

Morphological classification is a key piece of information to define samples of galaxies aiming to study the large-scale structure of the universe. In essence, the challenge is to build up a robust methodology to perform a reliable…

Instrumentation and Methods for Astrophysics · Physics 2019-11-05 P. H. Barchi , R. R. de Carvalho , R. R. Rosa , R. Sautter , M. Soares-Santos , B. A. D. Marques , E. Clua , T. S. Gonçalves , C. de Sá-Freitas , T. C. Moura