anacal 0.6.3

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AnaCal

Analytic Calibration for Perturbation Estimation from Galaxy Images.

This framework is devised to measure the responses for shape estimators that have been developed or are anticipated to be created in the future. We intend to develop a suite of analytical shear estimators capable of inferring shear with subpercent accuracy, all while maintaining minimal computational time. To derive the shear response of shapes, we introudce pixel shear response, the derivatives of pixel values with respect to shear distortions, then we propogate pixel shear response using quintuple numbers. A renoising approach is addopt to analytically derive noise bias correction. The currently supported analytic shear estimators are:

• FPFS: A fixed moments method based on shapelets including analytic correction for selection, detection and noise bias. (see ref1, ref2, ref3, and ref4.)
• NGMIX: Gassian model fitting. (see ref5)

Installation

Users can clone this repository and install the latest package by

git clone https://github.com/mr-superonion/AnaCal.git
cd AnaCal
# install required softwares
conda install -c conda-forge --file requirements.txt
# install required softwares for unit tests (if necessary)
conda install -c conda-forge --file requirements_test.txt
pip install . --user

or install stable verion

pip install anacal

or

conda install -c conda-forge anacal

Examples

Examples can be found here.

Development

Before sending pull request, please make sure that the modified code passed the pytest and flake8 tests. Run the following commands under the root directory for the tests:

flake8
pytest -vv

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