2dFGRS Wiener reconstruction of cosmic web

We reconstruct the underlying density field of the Two-degree Field Galaxy Redshift Survey (2dFGRS, ) for the redshift range 0.035<z<0.200 using the Wiener filtering method. The Wiener filter suppresses shot noise and accounts for selection and incompleteness effects. The method relies on prior knowledge of the 2dF power spectrum of fluctuations and the combination of matter density and bias parameters, however the results are only slightly affected by changes to these parameters. We present maps of the density field. We use a variable smoothing technique with two different effective resolutions: 5 and 10h^-1^Mpc at the median redshift of the survey. We identify all major superclusters and voids in the survey. In particular, we find two large superclusters and two large local voids. The full set of colour maps can be viewed on the World Wide Web at http://www.ast.cam.ac.uk/~pirin .

Cone search capability for table J/MNRAS/352/939/voids (*Maps for voids)

Cone search capability for table J/MNRAS/352/939/table1 (The list of superclusters)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/352/939
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/352/939
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/352/939
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/352/939
Provenance
Creator Erdogdu P.; Lahav O.; Zaroubi S.; Efstathiou G.; Moody S.; Peacock J.A.; Colless M.; Baldry I.K.; Baugh C.M.; Bland-hawthorn J.; Bridges T.; Cannon R.; Cole S.; Collins C.; Couch W.; Dalton G.; De Propris R.; Driver S.P.; Ellis R.S.; Frenk C.S.; Glazebrook K.; Jackson C.; Lewis I.; Lumsden S.; Maddox S.; Madgwick D.; Norberg P.; Peterson B.A.; Sutherland W.; Taylor K.
Publisher CDS
Publication Year 2006
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Natural Sciences; Observational Astronomy; Physics