Code


  1. • LSSanalysis: python-based analysis and plotting package for several small-scale clustering statistics.  This package was used extensively in the Reid et al. 2014 analysis.

  2. • cosmoxi2d: computes the theoretical two-point galaxy correlation function (written in C) as a function of cosmological and galaxy nuisance parameters.  This code provided the theoretical model predictions for Reid et al. 2012 and Samushia et al. 2014.

  3. •  Stand-alone code to compute the likelihood of the observed SDSS-II Luminous Red Galaxy power spectrum from Reid et al. 2010 is available for download here; the same calculation is available in the matter power spectrum module that is incorporated into the popular Markov Chain Monte Carlo public code cosmomc.  I also wrote the original BAO and Hubble constant modules for cosmomc.

  4. •  IDL code mksample used to produce large-scale structure galaxy catalogs for SDSS-III BOSS; these will be the basis for our next data release (DR10).  The code is under active development and currently only available within the BOSS collaboration here.  It will be publicly available with the release of the final DR12 galaxy large scale structure catalogs.


Data Products


  1. •  The SDSS-II LRG power spectrum, window function, and covariance matrix from Reid et al. 2010 are available here.

  2. •  Monopole and quadrupole correlation functions and their covariances from Reid et al. 2012 are available here (along with data from the other BOSS DR9 companion papers).  You can also download a cosmomc patch to incorporate our constraints directly into your own cosmological analysis.

  3. •  Perhaps you’d like to analyze the raw galaxy catalogs yourself?  You can download data and random CMASS DR9 catalogs here; or take a look at our LSS cookbook to generate your own subsample of CMASS or LOWZ targets from SDSS-III BOSS.