Future virialized structures: An analysis of superstructures in SDSS-DR7
Heliana E. Luparello, Marcelo Lares, Diego G. Lambas, Nelson D., Padilla

TL;DR
This paper identifies and catalogs future virialized superstructures in SDSS-DR7 data, using luminosity density maps calibrated with LCDM simulations, to predict which current superstructures will evolve into isolated, virialized systems.
Contribution
It introduces a novel method to identify future virialized structures using luminosity density maps and calibration with LCDM simulations, providing a new catalog of such superstructures.
Findings
Approximately 10% of the luminosity will be in future virialized structures.
Higher mass groups and clusters are more likely to be part of future virialized structures.
The catalog's reliability is validated through subsample and mock catalogue analyses.
Abstract
We construct catalogues of present superstructures that, according to a LCDM scenario, will evolve into isolated, virialized structures in the future. We use a smoothed luminosity density map derived from galaxies in SDSS-DR7 data and separate high luminosity density peaks. The luminosity density map is obtained from a volume-limited sample of galaxies in the spectroscopic galaxy catalogue, within the SDSS-DR7 footprint area and in the redshift range 0.04 < z < 0.12. Other two samples are constructed for calibration and testing purposes, up to z = 0.10 and z = 0.15. The luminosity of each galaxy is spread using an Epanechnikov kernel of 8Mpc/h radius, and the map is constructed on a 1 Mpc/h cubic cells grid. Future virialized structures (FVS) are identified as regions with overdensity above a given threshold, calibrated using a LCDM numerical simulation, and the criteria presented by…
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