contact huiyang@gwu.edu if you have any questions
This notebook presents a demonstration of classifying Chandra Source Catalog v2 (CSCv2) using the MUltiWavelength Machine Learning CLASSification Pipeline with CSCv2 and multiwavelength data
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This notebook was run in CIAO 4.14 with Python 3.9
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conda create -n ciao-4.14 -c https://cxc.cfa.harvard.edu/conda/ciao -c conda-forge ciao sherpa ds9 ciao-contrib caldb_main marx python=3.9
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run 'bash install-packages.sh' under CIAO 4.14 environment to install all required packages
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then, make sure to enable widgetsnbextension and ipyaladin, run
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jupyter nbextension enable --py widgetsnbextension
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jupyter nbextension enable --py --sys-prefix ipyaladin on your terminal
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You might also need to manually register the existing ds9 with the xapns name server by selecting the ds9 File->XPA->Connect menu option so your ds9 will be fully accessible to pyds9.