python ./generateCatalog.py [name of pipeline script] for each script written by
prepareCatalogs. This will run
generateMockfor building samples and slices
zobovfor finding voids
pruneVoidsfor cleaning voids near boundaries and building the hierarchy
At the end of it, you should have a void catalog for each redshift, slice, and subdivision.
Check the logfiles (found in your
logDir) for any error messages.
Outputs directories are organized as follows:
[prefix]is your defined prefix for outputs
[type]is either ss for subsampled particles, hod for HOD, or halos for halo catalogs
[setting]subsampling level, minimun halo mass, or HOD name
[redshift]starting redshift of the slice
[division]x- and y- subdivision
The VIDE outputs are as follows:
sample_info.txt: Small text file which lists some basic info of the sample
zobov_slice_[sample_name].dat: Binary file with the galaxy positions, RA, Dec, redshift, and unique catalog ID. Note that this file contains all particles in the particular sample, not just void particles.
voidDesc_[all,central]_[sample_name].out: ASCII file with void indices and basic void properties in ZOBOV-normalized units.
voidZone_[sample_name].out: Binary file which links voids to zones.
voidPart_[sample_name].out: Binary file which links zones to particles.
vol_[sample_name].out: Binary file with particle local volumes
In addition, VIDE provides the following derived void information:
centers_[all, central]_[sample_name].txt: ASCII file with void centers, volume, effective radius, void ID, density contrast, etc.
sky_positions_[all, central]_[sample_name].txt: ASCII file with void RA, dec, effective radius, and void ID
shapes_[all, central]_[sample_name].txt: ASCII file with best-fit eigenvalues and eigenvectors for each void, in same coordinate system as x,y,z values in centers file
In addition to the [all,central] version of each file above, there are four versions of each catalog:
no prefix: only parent voids, density cut applied (default catalog)
untrimmed: all voids in hierarchy, density cut not applied
untrimmed_dencut: all voids in hierarchy, density cut applied [deprecated]
trimmed_nodencut: only parent voids, density cut not applied [deprecated]
We recommend using the included python interface for loading and manipulating the void outputs.