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pro vyhledávání: '"Veyrat, Dahlia"'
Autor:
Rincon, Hernan, BenZvi, Segev, Douglass, Kelly, Veyrat, Dahlia, Aguilar, Jessica Nicole, Ahlen, Steven, Bianchi, Davide, Brooks, David, Claybaugh, Todd, Cole, Shaun, de la Macorra, Axel, Doel, Peter, Font-Ribera, Andreu, Forero-Romero, Jaime E., Gaztañaga, Enrique, Gontcho, Satya Gontcho A, Gutierrez, Gaston, Honscheid, Klaus, Howlett, Cullan, Juneau, Stephanie, Kehoe, Robert, Koposov, Sergey, Lambert, Andrew, Landriau, Martin, Guillou, Laurent Le, Meisner, Aaron, Miquel, Ramon, Moustakas, John, Niz, Gustavo, Percival, Will, Prada, Francisco, Pérez-Ràfols, Ignasi, Rossi, Graziano, Sanchez, Eusebio, Schubnell, Michael, Seo, Hee-Jong, Sprayberry, David, Tarlé, Gregory, Weaver, Benjamin Alan, Zou, Hu
We present three separate void catalogs created using a volume-limited sample of the DESI Year 1 Bright Galaxy Survey. We use the algorithms VoidFinder and V2 to construct void catalogs out to a redshift of z=0.24. We obtain 1,461 interior voids with
Externí odkaz:
http://arxiv.org/abs/2411.00148
We explore how the definition of a void influences the conclusions drawn about the impact of the void environment on galactic properties using two void-finding algorithms in the Void Analysis Software Toolkit: V2, a Python implementation of ZOBOV, an
Externí odkaz:
http://arxiv.org/abs/2403.20008
Publikováno v:
The Astrophysical Journal, Volume 958, Issue 1, id.59, 10 pp (2023)
We study how well void-finding algorithms identify cosmic void regions and whether we can quantitatively and qualitatively compare the voids they find with dynamical information from the underlying matter distribution. Using the ORIGAMI algorithm to
Externí odkaz:
http://arxiv.org/abs/2302.05469
Publikováno v:
]ApJS, 265:7 (11pp) 2023
We produce several public void catalogs using a volume-limited subsample of the Sloan Digital Sky Survey Data Release 7 (SDSS DR7). Using new implementations of three different void-finding algorithms, VoidFinder and two ZOBOV-based algorithms (VIDE
Externí odkaz:
http://arxiv.org/abs/2202.01226
Akademický článek
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We study how well void-finding algorithms identify cosmic void regions and whether we can quantitatively and qualitatively describe their biases by comparing the voids they find with dynamical information from the underlying matter distribution. Usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c64f92ab48274d88d9be8149a4101e1