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  • Run cyclus -i <input> -o <output>
  • For analysis install Pyne
    • If you have trouble with HDF5, follow these instructions with HDF5-1.8.4
    • If you're having trouble upgrading your conda install from 23.5.1 to 23.5.2 follow these steps
  • Install transition-scenarios
  • When you're running a notebook and want to use one of the scripts, you have to run: 
    import sys
sys.path.insert(0, '/home/nsryan/Desktop/arfc/transition-scenarios/scripts')
  • Some tables will be too big to analyze, so you can export them as a csv by using 
    sqlite3 -header -csv your_database_name "select * from TABLE_NAME;" > TABLE_NAME.csv
    • You can select out a specific year by saying "select * from TABLE_NAME where yesr=2001;" or any other column.

Tags you can use on your run

To specify the input file

> cyclus -i <input.file>

To specify the output file

> cyclus -i <input.file> -o <output.file>

To see the archetypes you have installed

> cyclus --agent-listing

You can also use -a instead or pass :cycamore in addition to get the same effect or see archetypes from a specific source.

To see the docstrings for a specific archetype

> cyclus --agent-annotations :agents:Source

To see the schema for a specific archetype

> cyclus --agent-schema :agents:Source

To get more information on a cyclus run

> cyclus -v <number>

I think the number can be from 1-10