This package contains a wrapper for Python, to reconstruct lensing potential, cosmic bi-refrimgence, and patchy reionization from cosmic microwave background anisotropies (CMB) in full and flat sky. This package also includes modules for delensing, some bi-spectrum calculation, and so on. Installing this library at NERSC is straightforward.
The easiest way to install the entire package is to run the shellscript:
./install.sh all
You will find modules inside "wrap/".
Note that the install.sh file compiles the following files:
[1] Fortran public software (located inside F90/pub/)
FFTW, cfitsio, Healpix, LAPACK95, and Lenspix.
[2] Fortran codes to create a wrapper
Please go to the following link for details of how to use each module: https://toshiyan.github.io/clpdoc/html/. The reference paper for each module is as follows:
Curved sky modules:
- Lensing Reconstruction, Delensing
Developed by Namikawa & Nagata JCAP 09 (2014) 009, https://arxiv.org/abs/1405.6568 - Cosmic Birefringence
Developed by Namikawa et al. PRD 101 (2020) 083527, https://arxiv.org/abs/2001.10465 - Patchy Reionization
Developed by Namikawa PRD, 97 (2018) 063505, https://arxiv.org/abs/1711.00058 - Lensing Bi-Spectrum
Developed by Namikawa et al. PRD 99 (2019) 063511, https://arxiv.org/abs/1812.10635
Flat sky modules:
- Lensing Reconstruction, Delensing
Developed by Namikawa PRD 95 (2017) 103514, https://arxiv.org/abs/1703.00169 - Cosmic Birefringence
Developed by Namikawa PRD 95 (2017) 043523, https://arxiv.org/abs/1612.07855
This package contains three main python modules based on Fourtran 90 sources:
-
basic --- basic routines such as analytic calculation of delensed B-mode spectrum and lensing bispectrum.
-
curvedsky --- analysis package to measure lensing, birefringence, patchy tau, bias-hardening, bispectrum, delensing and analytic reconstruction normalization.
-
flatsky --- the same as curvedsky code but for flatsky analysis.
The additional simple python sctipts are stored inside
-
example --- several example scripts for demonstration
-
utils --- python scripts to compute noise biase, RDN0, diagonal RDN0, etc.
You can find example codes inside "example" directory.
The library software uses the following public codes: FFTW, HEALPix, LAPACK, CFITSIO, LensPix.
toshiya.namikawa at ipmu.jp