Value Added Catalogs

In addition to the primary SDSS photometry and spectroscopy, there are a few extra catalogs created by our collaborators that are distributed through the SAS. These Value-Added Catalogs (VACs) are listed below, and include catalogs that were released in earlier data releases.

Large Scale Structure Galaxy Catalogs

Scientific Analysis Catalog
BOSS
GALAXY
DR12DR10DR9

Catalogs of Large Scale Structure (LSS) based on the BOSS galaxies samples in DR12.

Beth Reid, Shirley Ho, Nikhil Padmanabhan, Will J. Percival, Jeremy Tinker, Rita Tojeiro, Martin White, Daniel J. Eisenstein, Claudia Maraston, Ashley J. Ross, Ariel G. Sánchez, David Schlegel, Erin Sheldon, Michael A. Strauss, Daniel Thomas, David Wake, Florian Beutler, Dmitry Bizyaev, Adam S. Bolton, Joel R. Brownstein, Chia-Hsun Chuang, Kyle Dawson, Paul Harding, Francisco-Shu Kitaura, Alexie Leauthaud, Karen Masters, Cameron K. McBride, Surhud More, Matthew D. Olmstead, Daniel Oravetz, Sebastián E. Nuza, Kaike Pan, John Parejko, Janine Pforr, Francisco Prada, Sergio Rodríguez-Torres, Salvador Salazar-Albornoz, Lado Samushia, Donald P. Schneider, Claudia G. Scóccola, Audrey Simmons, Mariana Vargas-Magana
This VAC is described in full at
http://www.sdss.org/dr14/spectro/lss/

Abstract

The Large Scale Structure (LSS) galaxy catalogs combine the list of cosmological tracer targets (typically galaxies or QSOs) with the results of the spectroscopic data reduction to create data and random catalogs that allow the user to estimate the cosmological tracer density fluctuations at any point within the survey footprint. The random catalogs are designed to randomly sample the survey footprint with a density proportional to the map of the survey completeness. Pairs of data and random catalogues are generated for samples with distinct selection functions. In BOSS, we generated LSS catalogues for the LOWZ and CMASS samples separately (see BOSS galaxy target selection for descriptions of these samples). The LOWZ target class captures objects primarily at z < 0.4, while the CMASS class selects objects at 0.4 < z < 0.8. With DR12 we also provide a combined sample catalogue, where these two samples are optimally combined (details in Reid et al. 2016).

Catalog last modified: 2021-12-06 07:36:54

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