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.