Schedule Logo
Poster Session

Poster Session II

4:00 pm – 6:00 pm, Wednesday June 18 Session H00 Oregon Convention Center, Exhibit Hall E
Topics:
PrevNext

A Python-Based Framework for Computing Departure Coefficients of Radio Recombination Lines

Poster 5
Presenter: Johnny Fan (University of Chicago)
Authors: Daniel Vrinceanu (Texas Southern University), Hossein Sadeghpour (Harvard - Smithsonian Center for Astrophysics)

Radio recombination lines (RRLs) diagnose electron density and temperature in ionized environments. However, current models fail to match observed RRL optical depths and line broadening, indicating unresolved discrepancies in existing theory. We develop a Python-based framework to compute RRL bn departure coefficients as functions of electron density and temperature, focusing on cold, low-density H II regions where high principal quantum number (𝑛) transitions dominate. This approach incorporates dielectronic recombination and ℓ-mixing, refining hydrogenic bn calculations to resolve discrepancies in optical depth and line broadening predictions. This unified computational model aims to reconcile inconsistencies across existing models. Once validated, it will support the training of machine learning algorithms for automated RRL spectral analysis and parameter estimation.

POSTERS (156)