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The detection and characterization of filamentary structures in the cosmic web allows cosmologists to constrain parameters that dictates the evolution of the Universe. While many filament estimators have been proposed, they generally lack…

Cosmology and Nongalactic Astrophysics · Physics 2015-10-07 Yen-Chi Chen , Shirley Ho , Peter E. Freeman , Christopher R. Genovese , Larry Wasserman

In this work we present a new catalogue of Cosmic Filaments obtained from the latest Sloan Digital Sky Survey (SDSS) public data. In order to detect filaments, we implement a version of the Subspace-Constrained Mean-Shift algorithm, boosted…

Cosmology and Nongalactic Astrophysics · Physics 2022-04-28 Javier Carrón Duque , Marina Migliaccio , Domenico Marinucci , Nicola Vittorio

The main feature of the spatial large-scale galaxy distribution is its intricate network of galaxy filaments. This network is spanned by the galaxy locations that can be interpreted as a three-dimensional point distribution. The global…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-16 E. Tempel , R. S. Stoica , V. J. Martinez , L. J. Liivamägi , G. Castellan , E. Saar

Detecting the large-scale structure of the Universe based on the galaxy distribution and characterising its components is of fundamental importance in astrophysics but is also a difficult task to achieve. Wide-area spectroscopic redshift…

Cosmology and Nongalactic Astrophysics · Physics 2020-09-30 Nicola Malavasi , Nabila Aghanim , Marian Douspis , Hideki Tanimura , Victor Bonjean

We present a novel method for identifying cosmic web filaments using the IllustrisTNG (TNG100) cosmological simulations and investigate the impact of filaments on galaxies. We compare the use of cosmic density field estimates from the…

We present a study of the evolution of cosmic filaments across redshift with an emphasis on some important properties: filament lengths, growth rates, and radial profiles of galaxy densities. Following an observation-driven approach, we…

The "cosmic web", the filamentary large-scale structure in a cold dark matter Universe, is readily apparent via galaxy tracers in spectroscopic surveys. However, the underlying dark matter structure is as of yet unobservable and mapping the…

Cosmology and Nongalactic Astrophysics · Physics 2023-01-10 Matthew C. Wilde , Oskar Elek , Joseph N. Burchett , Daisuke Nagai , J. Xavier Prochaska , Jessica Werk , Sarah Tuttle , Angus G. Forbes

Simulated galaxy distributions are suitable for developing filament detection algorithms. However, samples of observed galaxies, being of limited size, cause difficulties that lead to a discontinuous distribution of filaments. We created a…

Cosmology and Nongalactic Astrophysics · Physics 2023-07-26 Anatoliy Tugay , Mariusz Tarnopolski

The Red-Sequence Cluster Survey (RCS) provides a large and deep photometric catalog of galaxies in the $z'$ and $R_c$ bands for ~90 square degrees of sky, and supplemental $V$ and $B$ data have been obtained for 33.6 deg$^{2}$. We compile a…

Astrophysics · Physics 2009-11-10 B. C. Hsieh , H. K. C. Yee , H. Lin , M. D. Gladders

The cosmic web that characterizes the large-scale structure of the Universe can be quantified by a variety of methods. For example, large redshift surveys can be used in combination with point process algorithms to extract long curvilinear…

Cosmology and Nongalactic Astrophysics · Physics 2015-09-16 Noam I. Libeskind , Elmo Tempel , Yehuda Hoffman , R. Brent Tully , Helene Courtois

Cosmic filaments are prominent structures of the matter distribution of the Universe. Modern detection algorithms are an efficient way to identify filaments in large-scale observational surveys of galaxies. Many of these methods were…

Cosmology and Nongalactic Astrophysics · Physics 2025-08-25 Euclid Collaboration , N. Malavasi , F. Sarron , U. Kuchner , C. Laigle , K. Kraljic , P. Jablonka , M. Balogh , S. Bardelli , M. Bolzonella , J. Brinchmann , G. De Lucia , F. Fontanot , C. Gouin , M. Hirschmann , Y. Kang , M. Magliocchetti , T. Moutard , J. G. Sorce , M. Spinelli , L. Wang , L. Xie , A. M. C. Le Brun , E. Tsaprazi , O. Cucciati , G. Zamorani , M. De Petris , E. Bulbul , R. van de Weygaert , N. Aghanim , A. Amara , S. Andreon , N. Auricchio , C. Baccigalupi , M. Baldi , A. Biviano , E. Branchini , M. Brescia , S. Camera , G. Cañas-Herrera , V. Capobianco , C. Carbone , J. Carretero , S. Casas , M. Castellano , G. Castignani , S. Cavuoti , K. C. Chambers , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin , F. Courbin , H. M. Courtois , M. Cropper , A. Da Silva , H. Degaudenzi , S. de la Torre , A. M. Di Giorgio , J. Dinis , H. Dole , F. Dubath , C. A. J. Duncan , X. Dupac , S. Dusini , A. Ealet , S. Escoffier , M. Farina , S. Farrens , F. Faustini , S. Ferriol , F. Finelli , S. Fotopoulou , M. Frailis , E. Franceschi , S. Galeotta , K. George , W. Gillard , B. Gillis , C. Giocoli , P. Gómez-Alvarez , J. Gracia-Carpio , A. Grazian , F. Grupp , L. Guzzo , S. V. H. Haugan , W. Holmes , I. Hook , F. Hormuth , A. Hornstrup , P. Hudelot , S. Ilić , K. Jahnke , M. Jhabvala , B. Joachimi , E. Keihänen , S. Kermiche , A. Kiessling , M. Kilbinger , B. Kubik , M. Kümmel , M. Kunz , H. Kurki-Suonio , S. Ligori , P. B. Lilje , V. Lindholm , I. Lloro , G. Mainetti , D. Maino , E. Maiorano , O. Mansutti , S. Marcin , O. Marggraf , K. Markovic , M. Martinelli , N. Martinet , F. Marulli , R. Massey , S. Maurogordato , H. J. McCracken , E. Medinaceli , S. Mei , M. Melchior , Y. Mellier , M. Meneghetti , E. Merlin , G. Meylan , A. Mora , M. Moresco , L. Moscardini , S. Mourre , C. Neissner , S. -M. Niemi , C. Padilla , S. Paltani , F. Pasian , K. Pedersen , V. Pettorino , S. Pires , G. Polenta , M. Poncet , L. A. Popa , L. Pozzetti , F. Raison , R. Rebolo , A. Renzi , J. Rhodes , G. Riccio , E. Romelli , M. Roncarelli , E. Rossetti , R. Saglia , Z. Sakr , A. G. Sánchez , D. Sapone , B. Sartoris , J. A. Schewtschenko , M. Schirmer , P. Schneider , T. Schrabback , M. Scodeggio , A. Secroun , E. Sefusatti , G. Seidel , S. Serrano , P. Simon , C. Sirignano , G. Sirri , A. Spurio Mancini , L. Stanco , J. Steinwagner , P. Tallada-Crespí , A. N. Taylor , I. Tereno , S. Toft , R. Toledo-Moreo , F. Torradeflot , A. Tsyganov , I. Tutusaus , L. Valenziano , J. Valiviita , T. Vassallo , G. Verdoes Kleijn , A. Veropalumbo , Y. Wang , J. Weller , A. Zacchei , I. A. Zinchenko , E. Zucca , E. Bozzo , C. Burigana , M. Calabrese , D. Di Ferdinando , J. A. Escartin Vigo , L. Gabarra , S. Matthew , N. Mauri , A. Pezzotta , M. Pöntinen , C. Porciani , V. Scottez , M. Tenti , M. Viel , M. Wiesmann , Y. Akrami , V. Allevato , I. T. Andika , S. Anselmi , M. Archidiacono , F. Atrio-Barandela , A. Balaguera-Antolinez , M. Ballardini , C. Benoist , D. Bertacca , M. Bethermin , A. Blanchard , L. Blot , H. Böhringer , S. Borgani , M. L. Brown , S. Bruton , R. Cabanac , A. Calabro , B. Camacho Quevedo , A. Cappi , F. Caro , C. S. Carvalho , T. Castro , F. Cogato , S. Contarini , T. Contini , A. R. Cooray , S. Davini , F. De Paolis , G. Desprez , A. Díaz-Sánchez , J. J. Diaz , S. Di Domizio , J. M. Diego , A. G. Ferrari , P. G. Ferreira , A. Finoguenov , A. Fontana , K. Ganga , J. García-Bellido , T. Gasparetto , E. Gaztanaga , F. Giacomini , F. Gianotti , G. Gozaliasl , A. Gregorio , M. Guidi , C. M. Gutierrez , A. Hall , S. Hemmati , C. Hernández-Monteagudo , H. Hildebrandt , J. Hjorth , A. Jimenez Muñoz , J. J. E. Kajava , V. Kansal , D. Karagiannis , C. C. Kirkpatrick , S. Kruk , M. Lattanzi , S. Lee , J. Le Graet , L. Legrand , M. Lembo , J. Lesgourgues , T. I. Liaudat , S. J. Liu , A. Loureiro , J. Macias-Perez , G. Maggio , F. Mannucci , R. Maoli , J. Martín-Fleitas , C. J. A. P. Martins , L. Maurin , R. B. Metcalf , M. Miluzio , P. Monaco , C. Moretti , G. Morgante , K. Naidoo , A. Navarro-Alsina , S. Nesseris , K. Paterson , L. Patrizii , A. Pisani , V. Popa , D. Potter , I. Risso , P. -F. Rocci , M. Sahlén , E. Sarpa , A. Schneider , D. Sciotti , E. Sellentin , M. Sereno , A. Silvestri , L. C. Smith , S. A. Stanford , K. Tanidis , C. Tao , G. Testera , R. Teyssier , S. Tosi , A. Troja , M. Tucci , C. Valieri , D. Vergani , G. Verza , N. A. Walton

The variations of galaxy stellar masses and colour-types with the distance to projected cosmic filaments are quantified using the precise photometric redshifts of the COSMOS2015 catalogue extracted from COSMOS field (2 deg$^{2}$). Realistic…

The latticework structure known as the cosmic web provides a valuable insight into the assembly history of large-scale structures. Despite the variety of methods to identify the cosmic web structures, they mostly rely on the assumption that…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-26 Yikun Zhang , Rafael S. de Souza , Yen-Chi Chen

Our view of the low-redshift Cosmic Web has been revolutionized by galaxy redshift surveys such as 6dFGS, SDSS and 2MRS. However, the trade-off between depth and angular coverage limits a systematic three-dimensional account of the entire…

Cosmology and Nongalactic Astrophysics · Physics 2016-10-20 Maciej Bilicki , John A. Peacock , Thomas H. Jarrett , Michelle E. Cluver , Louise Steward

As the environment harbouring the majority of galaxies, filaments are thought to play a key role in the co-evolution of galaxies and the cosmic web. In this first part of a series to understand the link between galaxies and filaments…

Astrophysics of Galaxies · Physics 2025-10-15 Yannick M. Bahe , Pascale Jablonka

Filaments are clearly visible in galaxy distributions, but they are hardly detected by computer algorithms. Most methods of filament detection can be used only with numerical simulations of a large-scale structure. New simple and effective…

Cosmology and Nongalactic Astrophysics · Physics 2014-10-14 Anatoliy V. Tugay

Galaxy redshift surveys, such as 2dF, SDSS, 6df, GAMA and VIPERS, have shown that the spatial distribution of matter forms a rich web, known as the cosmic web. The majority of galaxy survey analyses measure the amplitude of galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2019-03-29 Siyu He , Shadab Alam , Simone Ferraro , Yen-Chi Chen , Shirley Ho

We present a supervised neural network approach to the determination of photometric redshifts. The method was tuned to match the characteristics of the Sloan Digital Sky Survey and it exploits the spectroscopic redshifts provided by this…

The length of the three-dimensional filaments observed in the fourth public data-release of the SDSS is measured using the {\em local skeleton} method. It consists in defining the set of points where the gradient of the smoothed density…

Upcoming wide-field surveys are well-suited to studying the growth of galaxy clusters by tracing galaxy and gas accretion along cosmic filaments. We use hydrodynamic simulations of volumes surrounding 324 clusters from \textsc{The…

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