Results 121 to 130 of about 11,134,879 (212)

Simulating the LOcal Web (SLOW)

Astronomy & Astrophysics
Context. Galaxy clusters are the largest gravitationally bound structures in the Universe, serving as key laboratories for studying structure formation and evolution. The intracluster medium (ICM), composed of hot plasma, dominates their baryonic content
Hernández-Martínez Elena, Dolag Klaus, Steinwandel Ulrich P., Sorce Jenny G., Lebeau Théo, Aghanim Nabila, Seidel Benjamin   +6 more
doaj   +1 more source

The effect of the environment on the evolution of galaxy colours [PDF]

, 2006
In chapter 1 of this thesis, I give a brief overview of the birth of modern cosmology and the growth of the current paradigm. I then go on to describe the different types of galaxies, the star formation rates within them and give some notes about galaxy ...
Davies, Gregory Tudor
core  

Enhancement classification of galaxy images [PDF]

, 2014
The author has granted permission for their work to be available to the general public.With the advent of astronomical imaging technology developments, and the increased capacity of digital storage, the production of photographic atlases of the night sky
Jenkinson, John
core  

BackofenLab/docker-galaxy-graphclust: Initial release

, 2016
Galaxy flavor for ...
Milad Miladi, Eteri Sokhoyan, Björn Grüning   +2 more
core   +1 more source

Making Euclid VIS Imaging AI-ready: A Scalable Pipeline for Morphology, Anomaly Detection, and Similarity Search

The Astrophysical Journal Supplement Series
The Euclid mission is delivering an unprecedented volume of high-resolution galaxy imaging, posing new challenges for standardized and reproducible reuse across morphological analyses.
Jinhui Xie, Yunfei Xu, Zhen Zhang, Lang Chen, Chenzhou Cui   +4 more
doaj   +1 more source

Euclid Quick Data Release (Q1)

Astronomy & Astrophysics
We present a search for strong gravitational lenses in Euclid imaging with a high stellar velocity dispersion (σv > 180 km s−1) reported by SDSS and DESI. We performed expert visual inspection and classification of 11 660 Euclid images.
Rojas K., Collett T. E., Acevedo Barroso J. A., Nightingale J. W., Stern D., Moustakas L. A., Schuldt S., Despali G., Melo A., Walmsley M., Ballard D. J., Enzi W. J. R., Li T., Sainz de Murieta A., Andika I. T., Clément B., Courbin F., Ecker L. R., Gavazzi R., Jackson N., Kovács A., Matavulj P., Meneghetti M., Serjeant S., Sluse D., Tortora C., Verma A., Marchetti L., O’Riordan C. M., McCarthy K., Suyu S. H., Metcalf R. B., Diego J. M., Lines N. E. P., Aghanim N., Altieri B., Amara A., Andreon S., Auricchio N., Aussel H., Baccigalupi C., Baldi M., Balestra A., Bardelli S., Battaglia P., Bender R., Biviano A., Bonchi A., Branchini E., Brescia M., Brinchmann J., Camera S., Cañas-Herrera G., Capobianco V., Carbone C., Cardone V. F., Carretero J., Casas S., Castellano M., Castignani G., Cavuoti S., Chambers K. C., Cimatti A., Colodro-Conde C., Congedo G., Conselice C. J., Conversi L., Copin Y., Courtois H. M., Cropper M., Da Silva A., Degaudenzi H., De Lucia G., Di Giorgio A. M., Dolding C., Dole H., Dubath F., Dupac X., Escoffier S., Fabricius M., Farina M., Farinelli R., Faustini F., Ferriol S., Finelli F., Fotopoulou S., Frailis M., Franceschi E., Galeotta S., George K., Gillard W., Gillis B., Giocoli C., Gómez-Alvarez P., Gracia-Carpio J., Granett B. R., Grazian A., Grupp F., Guzzo L., Gwyn S., Haugan S. V. H., Holmes W., Hook I. M., Hormuth F., Hornstrup A., Hudelot P., Jahnke K., Jhabvala M., Keihänen E., Kermiche S., Kiessling A., Kubik B., Kuijken K., Kümmel M., Kunz M., Kurki-Suonio H., Le Boulc’h Q., Le Brun A. M. C., Le Mignant D., Liebing P., Ligori S., Lilje P. B., Lindholm V., Lloro I., Mainetti G., Maino D., Maiorano E., Mansutti O., Marcin S., Marggraf O., Martinelli M., Martinet N., Marulli F., Massey R., Maurogordato S., McCracken H. J., Medinaceli E., Mei S., Melchior M., Mellier Y., Merlin E., Meylan G., Mora A., Moresco M., Moscardini L., Nakajima R., Neissner C., Nichol R. C., Niemi S.-M., Padilla C., Paltani S., Pasian F., Pedersen K., Percival W. J., Pettorino V., Pires S., Polenta G., Poncet M., Popa L. A., Pozzetti L., Raison F., Rebolo R., Renzi A., Rhodes J., Riccio G., Romelli E., Roncarelli M., Saglia R., Sakr Z., Sánchez A. G., Sapone D., Sartoris B., Schewtschenko J. A., Schirmer M., Schneider P., Schrabback T., Secroun A., Seidel G., Seiffert M., Serrano S., Simon P., Sirignano C., Sirri G., Stanco L., Steinwagner J., Tallada-Crespí P., Taylor A. N., Tereno I., Toft S., Toledo-Moreo R., Torradeflot F., Tutusaus I., Valenziano L., Valiviita J., Vassallo T., Verdoes Kleijn G., Veropalumbo A., Wang Y., Weller J., Zacchei A., Zamorani G., Zerbi F. M., Zucca E., Ballardini M., Bolzonella M., Bozzo E., Burigana C., Cabanac R., Cappi A., Di Ferdinando D., Escartin Vigo J. A., Gabarra L., Martín-Fleitas J., Matthew S., Mauri N., Pezzotta A., Pöntinen M., Porciani C., Risso I., Scottez V., Sereno M., Tenti M., Viel M., Wiesmann M., Akrami Y., Alvi S., Anselmi S., Archidiacono M., Atrio-Barandela F., Benoist C., Benson K., Bergamini P., Bertacca D., Bethermin M., Blanchard A., Blot L., Brown M. L., Bruton S., Calabro A., Camacho Quevedo B., Caro F., Carvalho C. S., Castro T., Cogato F., Cooray A. R., Cucciati O., Davini S., De Paolis F., Desprez G., Díaz-Sánchez A., Diaz J. J., Di Domizio S., Duc P.-A., Enia A., Fang Y., Ferrari A. G., Ferreira P. G., Finoguenov A., Fontana A., Franco A., Ganga K., García-Bellido J., Gasparetto T., Gautard V., Gaztanaga E., Giacomini F., Gianotti F., Gozaliasl G., Guidi M., Gutierrez C. M., Hall A., Hartley W. G., Hernández-Monteagudo C., Hildebrandt H., Hjorth J., Kajava J. J. E., Kang Y., Kansal V., Karagiannis D., Kiiveri K., Kirkpatrick C. C., Kruk S., Le Graet J., Legrand L., Lembo M., Lepori F., Leroy G., Lesci G. F., Lesgourgues J., Leuzzi L., Liaudat T. I., Loureiro A., Macias-Perez J., Maggio G., Magliocchetti M., Magnier E. A., Mannucci F., Maoli R., Martins C. J. A. P., Maurin L., Miluzio M., Monaco P., Moretti C., Morgante G., Nadathur S., Naidoo K., Navarro-Alsina A., Nesseris S., Passalacqua F., Paterson K., Patrizii L., Pisani A., Potter D., Quai S., Radovich M., Rocci P.-F., Sacquegna S., Sahlén M., Sanders D. B., Sarpa E., Scarlata C., Schneider A., Sciotti D., Sellentin E., Smith L. C., Tanidis K., Testera G., Teyssier R., Troja A., Tucci M., Valieri C., Venhola A., Vergani D., Vernardos G., Verza G., Vielzeuf P., Walton N. A., Wilde J., Scott D.   +338 more
doaj   +1 more source

Constraining dark energy using real and mock galaxy surveys [PDF]

, 2009
In this thesis, we study how dark energy may be constrained by measurements of large-scale clustering in future galaxy surveys, and through the imprint of a time-varying large-scale potential on the CMB (the integrated Sachs-Wolfe effect).
CAI, YANCHUAN
core  

Quantifying Environmental Effects on Galaxy Properties Using Nonspherical Voids Identified from SDSS DR7

The Astrophysical Journal
Cosmic voids provide a distinct low-density region for studying the environmental effects of galaxy properties. Using the SDSS DR7 catalog, we identify nonspherical voids via Voronoi tessellation and the watershed algorithm and classify void galaxies ...
Yingxiao Song, Xiaohu Yang, Yan Gong, Haitao Miao, Xingchen Zhou, Yizhou Gu, Yingjie Peng   +6 more
doaj   +1 more source

Studies of the Virgo cluster. III - A classification system and an illustrated atlas of Virgo cluster dwarf galaxies

The Astronomical Journal, 1984
A. Sandage, B. Binggeli
openaire   +1 more source

Can AI Dream of Unseen Galaxies? Conditional Diffusion Model for Galaxy Morphology Augmentation

The Astrophysical Journal Supplement Series
Observational astronomy relies on visual feature identification to detect critical astrophysical phenomena. While machine learning (ML) increasingly automates this process, models often struggle with generalization in large-scale surveys due to the ...
Chenrui Ma, Zechang Sun, Tao Jing, Zheng Cai, Yuan-Sen Ting, Song Huang, Mingyu Li   +6 more
doaj   +1 more source