Glass-Like Random Catalogues for Two-Point Estimates on the Light Cone (Data Repository)
<p>This is the data repository for the article Glass-Like Random Catalogues for Two-Point Estimates on the Light Cone.</p> <p>arxiv link: https://arxiv.org/abs/2304.02040</p> <p>DOI:</p> <p> </p> <p>The file grlic_data.tar.gz contains three directories: /data, /correlations, and /randoms.</p> <p>Inside the /data folder, the data catalogues used in the article are stored: in "cat_part_1162568" the three columns correspond to the redshift, the cosine of the polar angle, and the azimuthal angle, respectively. The first three columns of the "cat_high_1164853" and "cat_low_1164853" catalogues correspond to the same properties for the high-mass and low-mass halos, respectively. In addition to that, these files also contain additional information about the halos: the number of particles (4th column), their M_200b mass (5th column) and their parent ID (6th colum), which is -1 if the halo is not a subhalo.</p> <p>Inside the /randoms folder, the random catalogues for each of the data catalogues in /data are stored. Files beginning with "part" refer to randoms based on the particle catalogue, in a similar fashion the files beginning with "high" correspond to randoms based on the high-mass halo catalogue and those beginning with "low" refer to the randoms based on the low-mass halo catalogue. Files with "..._glass<x>..." correspond to the glass-like random catalogues, and files with "..._rand<x>..." correspond to the Poisson-sampled randoms, where <x> is the value of <span class="math-tex">\(\alpha\)</span> used. <span class="math-tex">\(\alpha\)</span> is the factor by which the number of objects in the data catalogue is multiplied to get the number of objects in the random catalogues, <span class="math-tex">\(N_R = \alpha N_D\)</span>. For the glass-like randoms based on the high-mass halo catalogue, the additional suffix, "..._deltagrid<y>...", refers to the number of grid-cells used in the Zeldovich approximation, where <y> is the number of grid cells, and "..._Niter<z>..." refers to the number of Zeldovich iterations perfomed, which is given by <z>. Similarly to the data catalogues, the three columns represent the redshift, cosine of the polar angle, and the azimuthal angle of each object in the catalogue.</p> <p>Inside the /correlations folder, there are two subdirectories: /correlations/full and /correlations/multipoles. The /correlations/full directory contains the raw output from CUTE for each correlated pair of catalogues. For example, the subdirectory /correlations/full/low_low contains the outputs for the low-mass halo autocorrelation, or the subdirectory /correlations/full/high_part contains the outputs for the cross-correlation between the high-mass halo catalogue and the particle catalogue. The naming convention of these files is "<type><alpha>_<catalogues>_<i>", where <type> can either be "rand" or "glass", for either the Poisson-sampled or glass-like random catalogues, <alpha> is the factor <span class="math-tex">\(\alpha\)</span> already introduced above, <catalogues> again describes which two data catalogues have been cross- (or auto-) correlated, e.g. "highlow" refers to a cross-correlation between the high-mass halo catalogue and the low-mass halo catalogue, and finally <i> is a number between 0 and 19 for the 20 independent measurements of the correlations. For the high-mass halo catalogue autocorrelations involving glass-like randoms, the additional suffix, "..._deltagrid<y>...", refers to the number of grid-cells used in the Zeldovich approximation, where <y> is the number of grid cells, and "..._Niter<z>..." refers to the number of Zeldovich iterations perfomed, which is given by <z>. The format of the files is the standard CUTE format for the 3D correlation using binning in (mu,r), i.e. see the readme of https://github.com/damonge/CUTE/tree/master/CUTE, section 5. It reads:</p> <pre>For the 3-D correlation functions the output file has 7 columns with x1 x2 xi(x1,x2) D1D2(x1,x2) D1R2(x1,x2) R1D2(x1,x2) R1R2(x1,x2) where (x1,x2) is either (pi,sigma) or (mu,r). </pre> <p>The /correlations/multipoles subdirectory contains the estimated mean multipoles and their variance derived from the 20 individual correlation measurements for each data catalogue and type of random catalogue. Similarly to the /correlations/full subdirectory, it contains a separate directory for each pair of data catalogue for which the correlation was estimated. The files are named according to "<multipole>_<type><alpha>_<catalogues>_mean_var", where <multipole> is either l0 for the monopole, l1 for the dipole, or l2 for the quadrupole. The <type>, <alpha> and <catalogues> are identical to what was described above for the /correlations/full subdirectory. Again, for the high-mass halo catalogue autocorrelations involving glass-like randoms, the additional suffix, "..._deltagrid<y>...", refers to the number of grid-cells used in the Zeldovich approximation, where <y> is the number of grid cells, and "..._Niter<z>..." refers to the number of Zeldovich iterations perfomed, which is given by <z>. The columns in each of these files are the comoving separation d, the mean multipole <span class="math-tex">\(\xi_l\)</span>, and its variance <span class="math-tex">\(\sigma^2\)</span>of each bin.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4