CITATION.cff

cff-version: 1.2.0
message: "If you use ShearNet in your research, please cite it as below."
title: "ShearNet: Neural network-based galaxy shear estimation with JAX"
abstract: >-
  A JAX-based neural network library for galaxy shear estimation. ShearNet
  simulates galaxy images with GalSim, trains neural networks to recover their
  shear and other parameters, and benchmarks them against traditional moment-
  and likelihood-based methods (NGmix metacalibration).
type: software
authors:
  - family-names: Saha
    given-names: Sayan
    email: sayan.iiserp@gmail.com
  - family-names: Field
    given-names: Adam
    email: adfield@wpi.edu
version: 0.1.0
license: MIT
repository-code: "https://github.com/s-Sayan/ShearNet"
keywords:
  - astronomy
  - machine-learning
  - galaxy
  - shear-estimation
  - jax