3x2pt Gaussian + SSC Covariance Matrix
<p>3x2pt Gaussian + SSC covariance matrix to be used as input to CLOE for the MCMC runs<br><br>The Gauss+SSC covariance matrix is provided both in ASCII (.dat) and binary (.npy) format<br> </p><p>For comparison, the Gauss only case is also uploaded</p><p>The covariance refers for the full data vector without any scale cuts so the total dimension is N x N with <br><br>N = NoEll x [NoBinsWL (NoBinsWL + 1)/2 + NoBinsGC x NoBinsGC + NoBinsGC (NoBinsGC + 1)/2]<br><br>with <br><br>NoEll = number of multipoles = 32<br>NoBinsWL = number of redshift bins for WL = 13<br>NoBinsGC = number of redshift bins for GC = 13<br> <br>thus giving N = 11232.</p>
ShareScore
8/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- October 7, 2023
- License
- Not reported
- DOI
- 10.5281/zenodo.8418723
Scored with release 0.9.0
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