Downloading CIAO 4.13 and CALDB 4.9.6
The download page provides the basic steps needed to install CIAO 4.13 and CALDB 4.9.6 into a new conda environment. For additional details, including how to upgrade an existing environment, users should read the Installing CIAO with conda thread.
conda is the preferred method to install CIAO. Users looking to use the ciao-install script can skip to the bottom of this page.
Please be aware of the following issues before installing CIAO 4.13 (see the watchout page for more information):
There is a known bug in the check_ciao_version script in the 4.13.0 contrib release.
Verify conda version. Users should be using conda version 4.7.6 or newer.
$ conda --version conda 4.8.3
If conda is not installed,
$ conda --version conda: Command not found.
users can install miniconda from the Anaconda website.
Install CIAO into a new conda environment.
$ conda create -n ciao-4.13 \ -c https://cxc.cfa.harvard.edu/conda/ciao \ ciao sherpa ds9 ciao-contrib caldb_main marx
Users may also wish to includes packages such as jupyter, astropy, and scipy into their new CIAO conda environment.
Activate the CIAO environment
tcsh% conda activate ciao-4.13 or bash$ source activate ciao-4.13
By default, the terminal prompt will change to show the currently active conda environment. Users can also run the ciaover command to verify that they are setup correctly.
(ciao-4.13)$ ciaover -v # packages in environment at /soft/miniconda/envs/ciao-4.13b2: # # Name Version Build Channel ciao 4.13.0 py38h5ec60c1_2 https://cxc.cfa.harvard.edu/conda/ciao ciao-contrib 4.13.3 py_0 https://cxc.cfa.harvard.edu/conda/ciao ds9 8.2 1 https://cxc.cfa.harvard.edu/conda/ciao sherpa 4.13.0 py38h5ec60c1_2 https://cxc.cfa.harvard.edu/conda/ciao System information: Linux is_awesome.harvard.edu 3.10.0-1062.12.1.el7.x86_64 #1 SMP Tue Feb 4 23:02:59 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
Users may want to create an alias so that they only need to type ciao to activate their environment.
- Run the CIAO smoke tests:
$ cd $ASCDS_INSTALL/test $ make
If there are any errors reported during the smoke tests, users can check the smoke test bugs page for possible solutions.
- Finished! CIAO is now installed and you can being your data reduction and analysis work.
The CXC now suggests that users install CIAO using the conda package management system. This method allows users to more easily add 3rd party Python packages into their environment.
Alternatively, users can install CIAO using the ciao-install script. Follow this link for instructions:
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