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README.html
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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<title>README</title>
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<link rel="stylesheet" href="http://gfarm.ipmu.jp/~xiangchong.li/me/mystyle2.css" />
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<body>
<h1 id="impt">imPT</h1>
<p><a
href="https://github.com/mr-superonion/lensPT/actions/workflows/python-package.yml"><img
src="https://github.com/mr-superonion/lensPT/actions/workflows/python-package.yml/badge.svg"
alt="Python package" /></a> <a
href="https://impt.readthedocs.io/en/latest/?badge=latest"><img
src="https://readthedocs.org/projects/impt/badge/?version=latest"
alt="Documentation Status" /></a> <a
href="https://www.gnu.org/licenses/gpl-3.0"><img
src="https://img.shields.io/badge/License-GPLv3-blue.svg"
alt="License: GPL v3" /></a> <a href="https://github.com/psf/black"><img
src="https://img.shields.io/badge/code%20style-black-000000.svg"
alt="Code style: black" /></a></p>
<p>Fast estimator for Lensing Perturbation (<code>imPT</code>) from
astronomical images using the auto differentiating function of jax.</p>
<p>A simple code to compute the response to lensing perturbations and
remove the bias due to the perturbation from image noise.</p>
<h2 id="installation">Installation</h2>
<p>For developers:</p>
<pre class="shell"><code>git clone https://github.com/mr-superonion/imPT.git
pip install -e . --user</code></pre>
<p>before running code, users need to setup the environment by</p>
<pre class="shell"><code>source impt_config</code></pre>
<h2 id="summary">Summary</h2>
<p>For the first version of <code>imPT</code>, we implement
<code>FPFS</code> and use <code>imPT</code> to auto differentiate
<code>FPFS</code>.</p>
</body>
</html>