HfS, Hyperfine Structure Fitting Tool

TL;DR

HfS is a computational tool designed to fit hyperfine spectral line structures, including multiple velocity components, and derive physical parameters with uncertainty estimation, optimized for large data cubes.

Contribution

HfS introduces a Monte Carlo-based fitting method with parallel computing capabilities for analyzing hyperfine spectral lines in astronomical data.

Findings

Accurately fits hyperfine structures with multiple velocity components.

Provides reliable uncertainty estimates for fitted parameters.

Efficiently processes large spectral data cubes using parallel computing.

Abstract

HfS is a tool to fit the hyperfine structure of spectral lines, with multiple velocity components. The HfS_nh3 procedures included in HfS fit simultaneously the hyperfine structure of the NH$_3$ (J,K)= (1,1) and (2,2) transitions, and perform a standard analysis to derive $T_\mathrm{ex}$, NH$_3$ column density, $T_\mathrm{rot}$, and $T_\mathrm{k}$. HfS uses a Monte Carlo approach for fitting the line parameters. Especial attention is paid to the derivation of the parameter uncertainties. HfS includes procedures that make use of parallel computing for fitting spectra from a data cube.