1. dmhedit infile=‘_background_clean.evt’ filelist=none key=“OBS_ID” value= - blanksky_image bkgfile=‘_background_clean.evt outroot=‘_blank imgfile=‘_0.5-7_thresh.img tmpdir=./ clobber=yes - ===== Install on Ubuntu 24.04 LTS using conda ===== After installing anaconda3 in Ubuntu 18.04 LTS, follow https://cxc.cfa.harvard.edu/ciao/download/conda.html. Here are the steps: 1. Run the following code in a terminal to install ciao and caldb and some associated software in a conda environment named “ciao-4.14”. <code>conda create -n ciao-4.14 -c https://cxc.cfa.harvard.edu/conda/ciao -c conda-forge ciao sherpa ds9 ciao-contrib caldb marx</code> 2. Activate the new conda environment: conda activate ciao-4.12 2. Then install astropy, jupyter, ipykernel inside the ciao environment as: conda install -n ciao-4.12 jupyter ipykernel astropy 3. Install git on Ubuntu: sudo apt-get install git 3. Download ClusterPyXT: git clone https://github.com/bcalden/ClusterPyXT 4. Go inside ClusterPyXT: cd ~/ClusterPyXT 5. Initialize the system: run python clusterpyxt.py and it will ask two things: (1) CIAO installation directory (~/anaconda3/envs/ciao-4.12), (2) data output directory. 6. Initialize a cluster: run python clusterpyxt.py’’ again, and answer the questions; type y/n if asked. Give the values of nH (Hydrogen column density), z, metal abundance (use 0.3 for solar abundance), and S/N (signal-to-noise ratio, use 5).

7. Download and process the cluster data:

python clusterpyxt.py --continue

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