clustering

clustering contains LSS catalogs, separated by target types (see here for references), that have been prepared to be used directly to obtain clustering statistics. It includes both data for randoms (separated into 18 files given {RANN}).

Descriptions on how to use these to obtain clustering measurements are fully given in EDR. DESI Collaboration et al. (2024) and in Lasker et al. (2025). Any cuts applied to the data catalogs should be equally applied to the random catalogs.

Any number of the random catalogs, {RANN} can be used (with the impact only on statistical precision). Large-scale clustering measurements can be accurately obtained via the columns RA, DEC, Z, WEIGHT.

For small-scales, pairwise inverse-probability (PIP) weights can be obtained via the BITWEIGHTS column and we further recommend angular up-weighting (as in Mohammad et al. (2020)). If using PIP weights, the WEIGHT column should still be used for the random counts (but not used for the data counts).

• TARGET_PHOTSYS_RANN_clustering.ran.fits : Use for clustering measurements (randoms)
• TARGET_PHOTSYS_clustering.dat.fits : Use for clustering measurements (data)