ALFA: an automated line fitting algorithm

TL;DR

ALFA is an automated, fast, and accurate algorithm for fitting emission line spectra of arbitrary wavelength coverage and resolution, significantly reducing manual effort and improving reliability in spectral analysis.

Contribution

ALFA introduces a fully automated spectral fitting method using a genetic algorithm, capable of handling complex spectra efficiently and accurately without manual line identification.

Findings

Fits hundreds of lines in seconds on standard hardware

Achieves results in excellent agreement with manual measurements

Outperforms manual flux measurements in accuracy

Abstract

I present the Automated Line Fitting Algorithm, ALFA, a new code which can fit emission line spectra of arbitrary wavelength coverage and resolution, fully automatically. In contrast to traditional emission line fitting methods which require the identification of spectral features suspected to be emission lines, ALFA instead uses a list of lines which are expected to be present to construct a synthetic spectrum. The parameters used to construct the synthetic spectrum are optimised by means of a genetic algorithm. Uncertainties are estimated using the noise structure of the residuals. An emission line spectrum containing several hundred lines can be fitted in a few seconds using a single processor of a typical contemporary desktop or laptop PC. I show that the results are in excellent agreement with those measured manually for a number of spectra. Where discrepancies exist, the manually measured fluxes are found to be less accurate than those returned by ALFA. Together with the code NEAT (Wesson et al. 2012), ALFA provides a powerful way to rapidly extract physical information from observations, an increasingly vital function in the era of highly multiplexed spectroscopy. The two codes can deliver a reliable and comprehensive analysis of very large datasets in a few hours with little or no user interaction.