Overview#
FPFS is an open-source software for fast and accurate shear estimation.
Basic installation#
For stable version:
pip install fpfs
Or clone the repository:
git clone https://github.com/mr-superonion/FPFS.git
cd FPFS
pip install -e .
Reference#
The following papers are ready to be cited if you find any of these papers interesting or use the pipeline. Comments are welcome.
version 3: Li & Mandelbaum (2022) correct for detection bias from pixel level by interpreting smoothed pixel values as a projection of signal onto a set of basis functions.
version 2: Li , Li & Massey (2022) derive the covariance matrix of FPFS measurements and corrects for noise bias to second-order. In addition, it derives the correction for selection bias.
version 1: Li et. al (2018) build up the FPFS formalism based on Fourier_Quad and polar shapelets.
Developers#
Xiangchong Li (xiangchl at andrew.cmu.edu)
Andy Park (chanhyup at andrew.cmu.edu)
If you have any trouble installing or using the code, or find a bug, or have a suggestion for a new feature, please open up an Issue on our GitHub repository. We also accept pull requests if you have something you’d like to contribute to the code base.