v2.0.2 data for MCMC runs
Authors/Creators
- 1. INAF - Osservatorio Astronomico di Roma
-
2.
Max Planck Institute for Extraterrestrial Physics
- 3. Observatoire Midi-Pyrénées
Description
Input files, data vectors and covariance matrices for the MCMC runs with CLOE v2.0.2
- nzTabSPV3.dat: n(z) for the 13 equipopulated redshift bins case
- nuiTabSPV3.dat: fiducial values of the nuisance parameters (#bin centre, source number density, galaxy bias, logaritmic slope of the luminosity function, shift in bin centre, variance of the zp - z relation)
- Cls_zNLA_PosPos_C00.dat: GCph data vector
- Cls_zNLA_PosShear_C00.dat: GGL data vector (in the order GL)
- Cls_zNLA_ShearShear_C00.dat: WL data vector
- CovMat-3x2pt-Gauss-32Bins.npy: Gauss only 3x2pt covariance matrix
- CovMat-3x2pt-GaussSSC-32Bins.npy: Gauss + SSC 3x2pt covariance matrix
- CovMat-3x2pt-BNT-Gauss-32Bins.npy: Gauss only 3x2pt covariance matrix, BNT-transformed
- CovMat-3x2pt-BNT-GaussSSC-32Bins.npy: Gauss + SSC 3x2pt covariance matrix, BNT-transformed
- BNT-matrix.npy: BNT matrix used for transforming the covariance matrices
- power_galaxies_EFT_benchmark_z1..fits: GCsp data vector for bin centred on z = 1.0
- power_galaxies_EFT_benchmark_z1.2.fits: GCsp data vector for bin centred on z = 1.2
- power_galaxies_EFT_benchmark_z1.4.fits: GCsp data vector for bin centred on z = 1.4
- power_galaxies_EFT_benchmark_z1.65.fits: GCsp data vector for bin centred on z = 1.65
- cov_power_galaxies_EFT_benchmark_z1..fits: GCsp Gauss only covariance for bin centred on z = 1.0
- cov_power_galaxies_EFT_benchmark_z1.2.fits: GCsp Gauss only covariance for bin centred on z = 1.2
- cov_power_galaxies_EFT_benchmark_z1.4.fits: GCsp Gauss only covariance for bin centred on z = 1.4
- cov_power_galaxies_EFT_benchmark_z1.65.fits: GCsp Gauss only covariance for bin centred on z = 1.65
Files
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