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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>&nbsp;</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&nbsp;<br><br>N = NoEll x [NoBinsWL (NoBinsWL + 1)/2 + NoBinsGC x NoBinsGC + NoBinsGC (NoBinsGC + 1)/2]<br><br>with&nbsp;<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>&nbsp;<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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