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https://github.com/casacore/casacore
Suite of C++ libraries for radio astronomy data processing
https://github.com/casacore/casacore
Last synced: 5 days ago
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Suite of C++ libraries for radio astronomy data processing
- Host: GitHub
- URL: https://github.com/casacore/casacore
- Owner: casacore
- License: other
- Created: 2015-03-31T06:27:52.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-05-21T15:05:07.000Z (7 months ago)
- Last Synced: 2024-05-22T13:43:21.975Z (7 months ago)
- Language: C++
- Homepage: http://casacore.github.io/casacore
- Size: 190 MB
- Stars: 115
- Watchers: 23
- Forks: 87
- Open Issues: 88
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.md
- Contributing: CONTRIBUTING.md
- License: COPYING
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README
# Casacore
A suite of C++ libraries for radio astronomy data processing.
# Installation
## Debian / Ubuntu
Casacore is now part of Debian and Ubuntu, use apt to search for the package you need:
```bash
$ apt-get update
$ apt-get search casacore```
## MacOS
Use Homebrew with the `ska-sa` tap to install casacore:
```bash
$ brew tap ska-sa/tap
$ brew install casacore
```## Docker
We now also publish docker images for each github branch on [quay.io](https://quay.io/repository/casacore/casacore):
```
$ docker pull quay.io/casacore/casacore:master
```## Building from source
### Getting the source code
The casacore source code is maintained on github.
You can obtain it using:
```
$ git clone https://github.com/casacore/casacore
```### Requirements
To compile casacore you need to meet the following requirements:
* cmake
* gfortran
* g++
* flex
* bison
* blas
* lapack
* cfitsio (3.181 or later)
* wcslib (4.20 or later)
* sofa (optional, only for testing casacore measures)
* fftw3
* hdf5 (optional)
* numpy (optional)
* boost-python (optional)
* ncurses (optional)On Debian / Ubuntu you can install these with:
```
$ sudo apt-get install build-essential cmake gfortran g++ libncurses5-dev \
libreadline-dev flex bison libblas-dev liblapacke-dev libcfitsio-dev \
wcslib-dev libfftw3-dev
```and the optional libraries:
```
$ sudo apt-get install libhdf5-serial-dev python-numpy \
libboost-python-dev libpython3.4-dev libpython2.7-dev
```On CentOS7 you can install these with:
```bash
$ sudo yum install cmake cmake-gui gcc-gfortran gcc-c++ flex bison \
blas blas-devel lapack lapack-devel cfitsio cfitsio-devel \
wcslib wcslib-devel ncurses ncurses-devel readline readline-devel\
python-devel boost boost-devel fftw fftw-devel hdf5 hdf5-devel\
numpy boost-python
```## Obtaining measures data
Various parts of casacore require measures data, which requires regular
updating. You can obtain the WSRT measures archive from the ASTRON FTP server:ftp://ftp.astron.nl/outgoing/Measures/
Extract this somewhere on a permanent location on your filesystem.
## Compilation
In the casacore source folder run:
```
mkdir build
cd build
cmake ..
make
make install
```there are various flags available to cmake to enable and disable options:
```
$ cmake -DDATA_DIR=/usr/share/casacore/data -DUSE_OPENMP=ON \
-DUSE_HDF5=ON -DBUILD_PYTHON3=ON -DUSE_THREADS=ON
```The `DATA_DIR` should point to the location where you extracted the measures
data. Special variables `%CASAROOT%` and `%CASAHOME%` can be used here, which
can be set at run time through the `.casarc` file.Older versions of CMake may have problems detecting the correct python
libraries and headers, in which case you may need to set them manually. For
example:
```
-DPYTHON3_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.4m.so
-DPYTHON3_INCLUDE_DIR=/usr/include/python3.4
```To configure Python3 specific settings use:
```
PYTHON3_EXECUTABLE
PYTHON3_LIBRARY
PYTHON3_INCLUDE_DIR
```If you run into problems with boost libraries, try setting `-DBoost_NO_BOOST_CMAKE=True`. This may be necessary if you have the libraries from NRAO casa in your `PATH` or `LD_LIBRARY_PATH`.
# Documentation
http://casacore.github.io/casacore
# Problems & bugs
If you have any issues compiling or using casacore, please open an issue on
the issue tracker on github.If you have patches please open a pull request. Your contributions are more
than welcome! But to maintain a high code quality we have written a [contribution
manual](https://github.com/casacore/casacore/blob/master/CONTRIBUTING.md), please read
that first.