Incorporating Open-Source Databases in a Simplified Rigid Beam Application

Detailed and well documented cross-sectional data is needed for even the simplest of plasma models. The Naval Research Laboratory (NRL) evaluated plasma chemistry (nepc) Python package provides tools for curating and combining cross-sections from common sources (e.g., LXCat, QuantemolDB), adding additional metadata that helps describe the plasma dynamics. Many of these databases are pre-defined chemistry sets which provide preliminary functionality for performing exploratory data analysis when incorporated into reduced plasma models. The combined chemistry sets are evaluated in a Python packaged, Boltzmann solver (BOLOS) that is then coupled to a Python packaged, rigid-beam model1 for an electron beam generated plasma. This work shows how to connect a database, a Boltzmann solver, and a plasma model.