dsigma.scripts module

dsigma.scripts.process_decade.process_decade()[source]

Process raw DECADE data.

The script assumes the following files to be present in the working directory.

  • shear_catalog_sparse.hdf5

  • z_grid.npy

  • ngc_n_of_z.npy

  • sgc_n_of_z.npy

It will produce two files, decade_ngc.hdf5 and decade_sgc.hdf5 containing the processed source catalog and calibration \(n(z)\) for each galactic hemisphere.

dsigma.scripts.process_des_y3.process_des_y3()[source]

Process raw DES Y3 data.

The script assumes the following files to be present in the working directory.

  • DESY3_sompz_v0.50.h5

  • DESY3_metacal_v03-004.h5

  • DESY3_indexcat.h5

  • 2pt_NG_final_2ptunblind_02_26_21_wnz_maglim_covupdate.fits

It will produce the file des_y3.hdf5 containing the processed source catalog and calibration \(n(z)\).

dsigma.scripts.process_hsc_y3.process_hsc_y3()[source]

Process raw HSC Y3 data.

The script assumes the following files to be present in the working directory.

  • GAMA09H.fits.xz

  • GAMA15H.fits.xz

  • HECTOMAP.fits.xz

  • VVDS.fits.xz

  • WIDE12H.fits.xz

  • XMM.fits.xz

  • nz.fits

It will produce the file hsc_y3.hdf5 containing the processed source catalog and calibration \(n(z)\).

dsigma.scripts.process_kids_legacy.process_kids_legacy()[source]

Process raw KiDS-Legacy data.

The script assumes the following files to be present in the working directory.

  • KiDS_Legacy_NS_unblind_final.fits.gz

  • KiDZ_Legacy_unblind_final.fits

It will produce the file kids_legacy.hdf5 containing the processed source catalog and calibration \(n(z)\).