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Installation Instructions
==================
The GalSim-Euclid-Like repository contains two python libraries and currently supports Python versions 3.10 and above.

System requirements: Given the heavy dependance on GalSim, GalSim-Euclid-Like currently only supports Linux and Mac OSX. For
further details on system requirements for GalSim see `GalSim Installation <https://github.com/GalSim-developers/GalSim/blob/main/INSTALL.rst>`_.

Dependencies
----------------

GalSim-Euclid-Like requires ``python>=3.10`` and the following dependencies::

numpy>=1.17,
galsim>=2.6,
astropy>=2.0
Installation
----------------
The source code for GalSim-Euclid-Like has not been published to pypi. To install from source code::

git clone [email protected]:GalSim-developers/GalSim-Euclid-Like.git

and install by running::

conda create -n euclidlike python=3.10
cd GalSim-Euclid-Like
conda activate euclidlike
pip install .

To make sure the installation is successful, do the following::

$ python
>>> import euclidlike
>>> euclidlike.getBandpasses()
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63 changes: 63 additions & 0 deletions README.rst
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GalSim-Euclid-Like
==================

Helper functions to generate simulations of Euclid-like images using GalSim.

This repository contains information about the Euclid space telescope and survey that is needed to
produce simulations using `GalSim <https://github.com/GalSim-developers/GalSim>`_. Some of the
information provided is approximate, aimed towards fast simulations rather than full accuracy in
representation of Euclid images. Places where the information is only approximate are flagged and
described in the docstring, and we particularly highlight that the PSF is only approximate;
for details, see the docstring of the ``getPSF()`` method. This library should enable generation of
Euclid-like images of sufficient fidelity for preliminary exploration of object detection,
photometry, deblending, and joint analysis with ground-based observatories. For
applications requiring high precision such as weak lensing, the higher fidelity simulations
available within the Euclid Consortium should be used.

This repository includes two distinct packages:

* ``euclidlike``: has basic observatory, instrumentation, and survey information for Euclid.
This package can be used on its own along with GalSim to produce Euclid-like simulations.

* ``euclidlike_imsim``: has configuration scripts to produce large-scale Euclid-like simulation runs
based on the information in ``euclidlike``. It is based heavily on `roman_imsim <https://github.com/matroxel/roman_imsim>`_.


References
==================

For more information about `GalSim <https://github.com/GalSim-developers/GalSim>`_, please see its README and documentation.

For more information about Euclid, please see the `Euclid Consortium website <https://www.euclid-ec.org/>`_ and papers linked from there.

Attribution for software and data used by particular routines in this library is given in the docstring for the relevant routine.

Installation
==================

Please view the `installation instructions <INSTALL.rst>`_ for details on how to install GalSim-Euclid-Like.

Downloading relevant data
==================
The Euclid-like PSF is constructed from precomputed oversampled images on a grid in focal plane position and wavelength. To use the full FOV PSF within GalSim-Euclid-Like, the images must be downloaded by running::

$ euclidlike_download_psf

in the terminal after installation of GalSim-Euclid-Like. To install in an alternative directory to the default, use the ``--dir`` argument. Refer to the ``getPSF`` documentation for further details about the PSF.

Getting started
==================

Please see the examples/ directory for demos illustrating the use of this code.

Communicating with the developers
==================
Feel free to `open a GitHub issue <https://github.com/GalSim-developers/GalSim-Euclid-Like/issues>`_ to reach the developers with questions, comments, and bug reports. New contributors are also welcome and can indicate their interest in developing this code base through the Issues.

Attribution
==================

This software is open source and may be used according to the terms of its `license <LICENSE>`_.

When using this software, please provide the URL to the repository in the resulting paper or note. Once there is a Zenodo DOI or journal article, this README will be updated and we will ask those using the code in their research to cite the relevant journal article.

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