The TheliWrapper is a project to simplify the process of astronomical image
reduction with the THELI (software package for astronomical image reduction
in optical, near- and mid-infrared) significantly.
It combines the simplicity of the THELI GUI's preconfigured instruments and
parameter files with the ability to do large scale batch processing for large
observation projects.
For an overview of the TheliWrapper's features, we can refer to the THELI GUI webpage:
THELI is a powerful and easy-to-use package for astronomical image reduction, offering e.g.
- Automated reduction of optical, NIR and MIR data
- 90 pre-configured instruments
- Parallelisation
- Flexible background correction
- Automatic distortion correction and creation of large mosaics
- Highly flexible coaddition: e.g. locking onto proper motion targets, various projections, etc
- Optimised weighting schemes and defect detection
- Crosstalk and non-linearity correction
- Atmospheric transparency correction
- Absolute flux calibration
- Extensive documentation and online help
This file will guide you through the installation of the program and inform you
about the current development stage or known issues. Any other topic will be
covered by the the project's
Wiki-page, giving more
documentation and a step-by-step usage demonstration you can download and try
yourself.
For any further problems, please contact the project maintainer(s) (see below).
The TheliWrapper is entirely written in Python 3, but it depends on external components which are written in Python 2 or C/C++. Here is a list of components most users will need to install to use the wrapper.
- Python 2 and 3 (version >= 2.5 and version >= 3.4)
- Python 2 packages: numpy, scipy, matplotlib, pyfits
- Python 3 packages: astropy or pyfits (optional, but recommended)
- Python C-headers
- FFTW, GSL (GNU Scientific Library)
- cfitsio, CCfits
- LibTIFF, LibPNG (depends on your system)
- csh, wget
- ImageMagick
- THELI package, requires CDS client
- scripts and configuration files from THELI graphical user interface (GUI)
- scamp (optional but recommended), requires PLplot with cairo driver
These instructions should guide you through the steps of installing the TheliWrapper together with its dependencies:
THELI depends on the CDS client. Download the most recent version, extract it and install it with
./configure
make
make install
To install THELI,
download and extract
it and run the install scipt in pipesetup/
with install.sh -m "ALL"
to
build the package from source.
Even though THELI offers alternatives, it is highly recommended to install
scamp to compute precise astrometric solutions. It is not part of the package
itself, so has to be installed separately and requires PLplot with the
cairo-driver. On some linux distributions (e.g. Ubuntu, Linux Mint or
Arch Linux) scamp can be found precompiled in the package repositories.
Otherwise download it and try to
build it from source (which can be tricky) with
./configure
make
make install
Since version 0.6.1 of the TheliWrapper
If you want to avoid installing Qt3 you can use a modified version which ships all functionality of the GUI except the graphical window (which requires Qt3).
Download and install
the THELI GUI by using ./install.sh
and copy the scamp binary to the
binary folder of your THELI installation:
[path to THELI]/bin/[your platform]/
The GUI requires Qt3 which has to be installed manualy on most systems.
To install the TheliWrapper, just download the
latest release and
copy and extract it to your preferred destination. When you run theli.py
for
the first time it may ask you to locate the THELI installation folder (root
folder which contains the theli
link) and will set up itself automatically.
Whenever you change your THELI installation, it will be necessary to delete
/home/janluca/.theli/theli_paths.py
such that it will be recreated.
This project is under development, even though the most important data recution steps are implented. Yet missing are:
- Photometry (direct and indirect)
- Constant sky model subtraction
- Copying and restoring the astrometric solution to the image header manually
If you work with (near/mid) infrared data the following tools are availble but still experimental:
- Cross talk correction
- Squence splitting
- Chop/nod sky subtraction
- Collapse correction
If you have any problems or notice any unexpected behaviour, please contact the maintainer(s) or create a new issue on the project's GitHub-page.
Jan Luca van den Busch (Argelander Institute for Astronomy)
Please include the URL of this repository in your acknowledgments and cite the following two papers when publishing your scientific work based on THELI:
Schirmer M. 2013, ApJS, 209, 21: THELI GUI โ Convenient reduction of optical, near- and mid-infrared imaging data
Erben, T., Schirmer, M., Dietrich, J. et al. 2005, AN, 326, 432: GaBoDS: The Garching-Bonn Deep Survey. IV. Methods for the image reduction of multi-chip cameras demonstrated on data from the ESO Wide-Field Imager