This package computes the cluster lensing signal and covariance matrices. Both in terms of $\gamma_t$ and $\Delta\Sigma$.

Put this in your ~/.bashrc

export PYTHONPATH="/your_folder/cluster-lensing-cov/:$PYTHONPATH"

or run

import sys
sys.path.append('/your_folder/cluster-lensing-cov/')

everytime you need to use the package.

• clens/lensing/ contains the main code for computing lensing signals and covariance matrices.

  • lensing_profiles.py calculates $\gamma_t$ and $\Delta\Sigma$ profiles assuming NFW

  • cov_DeltaSigma.py and cov_gammat.py calculate the covariance matrices

• clens/util/ contains classes for cosmology, nuisance parameters, survey conditions, etc.

• clens/ying/ contains code copied from Ying Zu's package

• tests/ contains unit tests.

• examples/

  • demo_analytic.py shows the one example for
  • abacus_analytic_grafting.py shows how to graft analytic and abacus together

• output/analytic_abacus_scatter*/zh*_zs*/*_*_R*_*_nrp*/ includes various components of covariance matrices.

  • DeltaSigma_cov_combined.dat is everything without shape noise
  • DeltaSigma_cov_shape_noise.dat is for nsrc = 10 arcmin^{-2}
  • Shape noise is inversely proportional to nsrc

• For example, output/analytic_abacus_scatter0/zh0.5_zs1.25/1e+14_1e+16_R0.1_100_nrp15/ contains zero scatter, zh=0.5, zs=1.25, M between 1e14 and 1e16 Msun/h, 15 log rp bins between 0.1 and 100 Mpc/h